<p><b>duda</b> 2008-07-01 12:27:54 -0600 (Tue, 01 Jul 2008)</p><p>Hui-Chuan's newer version plus minor formatting changes.<br>
<br>
M users_guide_chap6.doc<br>
</p><hr noshade><pre><font color="gray">Modified: trunk/wrf/UsersGuide/users_guide_chap6.doc
===================================================================
--- trunk/wrf/UsersGuide/users_guide_chap6.doc 2008-07-01 16:55:51 UTC (rev 97)
+++ trunk/wrf/UsersGuide/users_guide_chap6.doc 2008-07-01 18:27:54 UTC (rev 98)
@@ -1,44 +1,57 @@
-ࡱ
ified (global/regional, multi-model, 3/4D-Var) model-space variational data assimilation system (WRF-Var) for use by NCAR staff and collaborators, and is also freely available to the general community, together with further documentation, test results, plans etc., from the WRF-Var web-page HYPERLINK "http://www.wrf-model.org/development/group/WG4" http://www.wrf-model.org/development/group/WG4 HYPERLINK "http://www.wrf-model.org/development/group/WG4" http://www.mmm.ucar.edu/wrf/WG4/wrfvar/wrfvar.htm.
Various components of the WRF-Var system are shown in blue in the sketch below, together with their relationship with rest of the WRF system.
-
-In this chapter, you will learn how to run the various components of WRF-Var system. In the online tutorial, you are supplied with a test case including the following input data: a) observation file, b) WRF NETCDF background file (previous forecast used as a first guess of the analysis), and c) Backgroun!
d error statistics (climatological estimate of errors in the background file). In your own work, you will need to create these input files yourselves.
-Before using your own data, we suggest that you start by running through the WRF-Var related programs at least once using the supplied test case. This serves two purposes: First, you can learn how to run the programs with data we have tested ourselves, and second, you can test whether your computer is adequate to run the entire modeling system. After you have done the online tutorial, you can try
+
+xb: first guess either from previous WRF forecast or from WPS/real output.
+yo: observations processed by OBSPROC.
+PBf0: background error statistics from gen_be.
+In this chapter, you will learn how to run the various components of WRF-Var system. In the online tutorial, you are supplied with a test case including the following input data: a) observation file (in the format prior to OBSPROC), b) WRF NETCDF background file (pr!
evious forecastWPS/real output used as a first guess of the an!
alysis),
and c) Background error statistics (climatological estimate of errors in the background file, generated with one-month 200-km resolution CONUS domain runs). In your own work, you will need tohave to create all these input files yourselves. See section Running Observation Preprocessor for creating your observation files. See section Running gen_be for generating your background error statistics file.
+Before using your own data, we suggest that you start by running through the WRF-Var related programs at least once using the supplied test case. This serves two purposes: First, you can learn how to run the programs with data we have tested ourselves, and second you can test whether your computer is adequate to run the entire modeling system. After you have done the online tutorial, you can try
Running other, more computationally intensive, case studies.
+
Experimenting with some of the many namelist variables.
-WARNING: It is impossible to test every code upgrade w!
ith every permutation of computer, compiler, number of processors, case, namelist option, etc. The namelist options that are supported are indicated in the Registry.wrfvar and these are the default options. WRF-Var may be run with options other than the default option by specifying its value via the wrapper script. Sample of wrapper scripts are included in var/scripts/wrappers directory. For running WRF-Var, you may like to adopt a suitable wrapper script in this directory and modify it depending on your case. Note: All scripts are provided for your reference only; we dont have enough resource to support these scripts.
+WARNING: It is impossible to test every code upgrade with every permutation of computer, compiler, number of processors, case, namelist option, etc. The namelist options that are supported are indicated in the WRFDA/Registry/Registry.wrfvar and these are the default options. WRF-Var may be run with options other than the default option b!
y specifying its value via the wrapper script. Sample of wr!
apper s
cripts are included in var/scripts/wrappers directory. For running WRF-Var, you may like to adopt a suitable wrapper script in this directory and modify it depending on your case. Note: all scripts are provided for your reference only, we dont have enough resource to support these scripts.
-Running with your own domain. Hopefully, our test cases will have prepared you for the variety of ways in which you may wish to run WRF-Var. Please let us know your experiences.
+Running with your own domain. Hopefully, our test cases will have prepared you (and us!) for the variety of ways in which you may wish to run WRF-Var. Please let us know your experiences.
As a professional courtesy, we request that you include the following reference in any publications that makes use of any component of the community WRF-Var system:
-Barker, D.M., W. Huang, Y. R. Guo, and Q. N. Xiao, 2004: A Three-Dimensional (3DVAR) Data Assimilation System For Use With MM5: Implementation and!
Initial Results. Mon. Wea. Rev., 132, 897-914.
-Running WRF-Var requires a Fortran 90 compiler. We currently support the following platforms: IBM, SGI, PC/Linux, Cray-X1, and Apple. Please let us know if this does not meet your requirements, and we will attempt to add other machines to our list of supported architectures as resources allow. Although we are interested to hear of your experiences in modifying compile options, we do not yet recommend making changes to the configure file used to compile WRF-Var.
+Barker, D.M., W. Huang, Y. R. Guo, and Q. N. Xiao., 2004: A Three-Dimensional (3DVAR) Data Assimilation System For Use With MM5: Implementation and Initial Results. Mon. Wea. Rev., 132, 897-914.
+Running WRF-Var requires a Fortran 90 compiler. We currently support the following platforms: IBM, DEC, SGI, PC/Linux (with Portland Group compiler), Cray-X1, and Apple G4/G5. Please let us know if this does not meet your requirements, and we will attempt to add other machine!
s to our list of supported architectures as resources allow. A!
lthough
we are interested to hear of your experiences on modifying compile options, we do not yet recommend making changes to the configure file used to compile WRF-Var.
Installing WRF-Var
-Before compiling the WRF-Var code, it is necessary to have installed the NetCDF, BLAS, LAPACK, and BUFR libraries. If any of the BLAS, LAPACK and BUFR libraries are not available on the computer, they needs to be installed first. The source code for these libraries can be freely downloaded from HYPERLINK "http://netlib.org/blas/" http://netlib.org/blas/, HYPERLINK "http://netlib.org/lapack/" http://netlib.org/lapack/, and HYPERLINK "http://www.nco.ncep.noaa.gov/sib/decoders/BUFRLIB/" http://www.nco.ncep.noaa.gov/sib/decoders/BUFRLIB/. Assuming, for example, that these libraries have been installed in subdirectories of /usr/local, the necessary environment variables might be set with
-setenv BLAS /usr/local/blas setenv LAPACK /usr/local/lapack sete!
nv BUFR /usr/local/bufr
+Before compiling WRF-Var code on a computer, in addition to netCDF library, check to see if the BLAS, LAPACK, and BUFR libraries are installed. If any of the BLAS, LAPACK and BUFR libraries is not available on the computer, it needs to be installed first. These softwares can be freely downloaded from HYPERLINK "http://netlib.org/blas/" http://netlib.org/blas/, HYPERLINK "http://netlib.org/lapack/" http://netlib.org/lapack/, and HYPERLINK "http://www.nco.ncep.noaa.gov/sib/decoders/BUFRLIB/" http://www.nco.ncep.noaa.gov/sib/decoders/BUFRLIB/. Assuming, for example, that these libraries have been installed in subdirectories of /usr/local, the necessary environment variables might be set with
+setenv BLAS /usr/local/blas
+setenv LAPACK /usr/local/lapack
+setenv BUFR /usr/local/bufr
Hint: Make sure the required libraries were all compiled using the same compiler that will be used to build WRF-Var, sin!
ce the libraries produced by one compiler may not be compatibl!
e with c
ode compiled with another.
-Assuming all required libraries are available, the WRF-Var Version 3 source code can be downloaded from HYPERLINK "http://www.mmm.ucar.edu/wrf/users/download/get_source.html" http://www.mmm.ucar.edu/wrf/users/download/get_source.html. After the tar file is unzipped (gunzip WRFDAV3.TAR.gz) and untarred (untar WRFDAV3.TAR), the directory WRFDA should be created; this directory contains the WRF-Var source code.
+Hint: for Linux users:
+ If PGI or Intel compiler is used on a Linux computer, makes sure all external libraries are installed using the same compiler.
+Assuming all required libraries are available, the WRF-Var Version 3 source code can be downloaded from HYPERLINK "http://www.mmm.ucar.edu/wrf/users/download/get_source.html" http://www.mmm.ucar.edu/wrf/users/download/get_source.html. After the tar file is unzipped (gunzip WRFDAV3.TAR.gz) and untarred (untar WRFDAV3.TAR), the directory WRFDA should be created; th!
is directory contains the WRF-Var source code.WRF source code tar file can be downloaded from HYPERLINK "http://www.mmm.ucar.edu/wrf/users/download/get_source.html" http://www.mmm.ucar.edu/wrf/users/download/get_source.html. Once the tar file is gunzipped (gunzip WRFDAV3.TAR.gz), and untared (untar WRFDAV3.TAR), and it will create a WRFDA/ directory.
To configure WRF-Var, change to the WRFDA directory and type
-> ./configure wrfda
+> Go to WRFDA (top) directory and type
+./configure wrfda
A list of configuration options for your computer should appear. Each option combines a compiler type and a parallelism option; since the configuration script doesnt check which compilers are actually available, be sure to only select among the options for compilers that are available on your system. The parallelism option allows for a single-processor (serial) compilation, shared-memory parallel (smpar) compilation, distributed-memory parallel (dmpar) compilation, !
or a combination of shared-memory and distributed-memory paral!
lel (dm+
sm) compilation; for WRF-Var, parallel execution requires a dm option (see note below). After a selection from the list of options is made, a second choice for compiling nesting will appear. For example, on a Linux computer, the above steps look like:
+and a list of choices for your computer should appear. These choices range from compiling for a single processor job (serial), to using OpenMP shared-memory (smpar) or distributed-memory parallelization (dmpar) options for multiple processors, or combination of shared-memory and distributed memory options (dm+sm) (see notes below). When a selection is made, a second choice for compiling nesting will appear (see notes below). For example, on a Linux computer, the above steps look like:
> ./configure wrfda
checking for perl5... no
checking for perl... found /usr/bin/perl (perl)
@@ -76,160 +89,522 @@
Enter selection [1-24] : 3
------------------------------------------------------------------------
Compile for nesting? (1=basic, 2=preset moves, 3=vortex following) [default 1]: 1
+
Note: The WRF-Var system does not make usre of OpenMP, so shared memory (smpar) options do not apply to WRF-Var; parallel execution is only supported through distributed memory (dmpar) options.
Note: Nesting does not apply to WRF-Var, please select 1=basic.
+
After running the configure script and choosing a compilation and nesting option, a configure.wrf file will be created. Because of the variety of ways that a computer can be configured, if the WRF-Var build ultimately fails, there is a chance that minor modifications to the configure.wrf file may be needed.
-Hint: It is helpful to start with a very basic configuration, such as the serial build. If it is successful, move on to build dmpar code. Remember to type clean a between each build.
+Enter appropriate options that are bes!
t for your computer and application.
+When the return key is hit, a configure.wrf file will be created. Edit compile options/paths, if necessary.
+ If you have compiled WRF code, you may notice the build mechanism of WRF and WRFDA looks very similar. This is because WRF and WRFDA share the same build mechanism. But caution needs to be paid when compiling WRFDA.
+Note: OpenMP, or shared memory, or sm options do not apply to WRF-Var compilecompilation.
+Note: nesting does not apply to WRF-Var, please select 1=basicso please select the simplest option. If no-nesting is not available, select basic nesting option is OK.
+Note: WRF compiles with r4 option while WRFDA compiles with r8. That is why WRF and WRFDA can not reside and be compiled under the same directory.
+Hint: It is helpful to start with something simple, such as the serial build. If it is successful, move on to build dmpar code. Remember to type clean a between each build.
To compile the code, type
> !
./compile all_wrfvar
-Successful compilation of all_wrfvar w!
ill prod
uce several executables in the var/da directory including da_wrfvar.exe. You can list these executables by issuing the command (from the WRFDA directory)
-> ls -l var/da/*exe
+Successful compilation of all_wrfvar will produce several executables in var/da directory including da_wrfvar.exe. You can list these executables by issuing the command (from WRFDA directory)
+> ls -l var/da/*exe
--rwxr-xr-x users 2450389 var/da/da_advance_time.exe
--rwxr-xr-x users 3219026 var/da/da_bias_airmass.exe
--rwxr-xr-x users 2803020 var/da/da_bias_scan.exe
--rwxr-xr-x users 2775303 var/da/da_bias_sele.exe
--rwxr-xr-x users 3110924 var/da/da_bias_verif.exe
--rwxr-xr-x users 2765725 var/da/da_rad_diags.exe
--rwxr-xr-x users 2622925 var/da/da_tune_obs_desroziers.exe
--rwxr-xr-x users 2599307 var/da/da_tune_obs_hollingsworth1.exe
--rwxr-xr-x users 2469588 var/da/da_tune_obs_hollingsworth2.exe
--rwxr-xr-x users 2786060 var/da/da_update_bc.exe
--rwxr-xr-x users 3046!
675 var/da/da_verif_anal.exe
--rwxr-xr-x users 2518174 var/da/da_verif_obs.exe
--rwxr-xr-x users 23928871 var/da/da_wrfvar.exe
-lrwxrwxrwx users 26 var/da/gen_be_cov2d.exe ->
-../gen_be/gen_be_cov2d.exe
-lrwxrwxrwx users 26 var/da/gen_be_cov3d.exe ->
-../gen_be/gen_be_cov3d.exe
-lrwxrwxrwx users 26 var/da/gen_be_diags.exe ->
-../gen_be/gen_be_diags.exe
-lrwxrwxrwx users 31 var/da/gen_be_diags_read.exe ->
-../gen_be/gen_be_diags_read.exe
-lrwxrwxrwx users 28 var/da/gen_be_ensmean.exe ->
-../gen_be/gen_be_ensmean.exe
-lrwxrwxrwx users 26 var/da/gen_be_ensrf.exe ->
-../gen_be/gen_be_ensrf.exe
-lrwxrwxrwx users 24 var/da/gen_be_ep1.exe ->
-../gen_be/gen_be_ep1.exe
-lrwxrwxrwx users 24 var/da/gen_be_ep2.exe ->
-../gen_be/gen_be_ep2.exe
-lrwxrwxrwx users 25 var/da/gen_be_etkf.exe ->
-../gen_be/gen_be_etkf.exe
-lrwxrwxrwx users 31 var/da/gen_be_stage0_wrf.exe ->
-../gen_be/gen_be_s!
tage0_wrf.exe
-lrwxrwxrwx users 33 var/da/gen_be_stage1_!
1dvar.ex
e ->
-../gen_be/gen_be_stage1_1dvar.exe
-lrwxrwxrwx users 27 var/da/gen_be_stage1.exe ->
-../gen_be/gen_be_stage1.exe
-lrwxrwxrwx users 33 var/da/gen_be_stage2_1dvar.exe ->
-../gen_be/gen_be_stage2_1dvar.exe
-lrwxrwxrwx users 28 var/da/gen_be_stage2a.exe ->
-../gen_be/gen_be_stage2a.exe
-lrwxrwxrwx users 27 var/da/gen_be_stage2.exe ->
-../gen_be/gen_be_stage2.exe
-lrwxrwxrwx users 27 var/da/gen_be_stage3.exe ->
-../gen_be/gen_be_stage3.exe
-lrwxrwxrwx users 34 var/da/gen_be_stage4_global.exe ->
-../gen_be/gen_be_stage4_global.exe
-lrwxrwxrwx users 36 var/da/gen_be_stage4_regional.exe ->
-../gen_be/gen_be_stage4_regional.exe
-After successful compilation of WRF-Var, you are ready to run WRF-Var for the test case.
+-rwxr-xr-x 1 xinzhang users 2450389 Jun 16 11:45 var/da/da_advance_time.exe
+-rwxr-xr-x 1 xinzhang users 3219026 Jun 16 11:45 var/da/da_bias_airmass.exe
+-rwxr-xr-x 1 xinzhang users 280302!
0 Jun 16 11:45 var/da/da_bias_scan.exe
+-rwxr-xr-x 1 xinzhang users 2775303 Jun 16 11:45 var/da/da_bias_sele.exe
+-rwxr-xr-x 1 xinzhang users 3110924 Jun 16 11:45 var/da/da_bias_verif.exe
+-rwxr-xr-x 1 xinzhang users 2765725 Jun 16 11:46 var/da/da_rad_diags.exe
+-rwxr-xr-x 1 xinzhang users 2622925 Jun 16 11:46 var/da/da_tune_obs_desroziers.exe
+-rwxr-xr-x 1 xinzhang users 2599307 Jun 16 11:46 var/da/da_tune_obs_hollingsworth1.exe
+-rwxr-xr-x 1 xinzhang users 2469588 Jun 16 11:46 var/da/da_tune_obs_hollingsworth2.exe
+-rwxr-xr-x 1 xinzhang users 2786060 Jun 16 11:46 var/da/da_update_bc.exe
+-rwxr-xr-x 1 xinzhang users 3046675 Jun 16 11:46 var/da/da_verif_anal.exe
+-rwxr-xr-x 1 xinzhang users 2518174 Jun 16 11:45 var/da/da_verif_obs.exe
+-rwxr-xr-x 1 xinzhang users 23928871 Jun 16 11:45 var/da/da_wrfvar.exe
+lrwxrwxrwx 1 xinzhang users 26 Jun 16 11:46 var/da/gen_be_cov2d.exe -> ../gen_be/gen_be_cov2d.exe
+lrwxrwxrwx 1 xinzhang users 26 Jun 16 11:46 var!
/da/gen_be_cov3d.exe -> ../gen_be/gen_be_cov3d.exe
+lrwxrwx!
rwx 1 xi
nzhang users 26 Jun 16 11:46 var/da/gen_be_diags.exe -> ../gen_be/gen_be_diags.exe
+lrwxrwxrwx 1 xinzhang users 31 Jun 16 11:46 var/da/gen_be_diags_read.exe -> ../gen_be/gen_be_diags_read.exe
+lrwxrwxrwx 1 xinzhang users 28 Jun 16 11:46 var/da/gen_be_ensmean.exe -> ../gen_be/gen_be_ensmean.exe
+lrwxrwxrwx 1 xinzhang users 26 Jun 16 11:46 var/da/gen_be_ensrf.exe -> ../gen_be/gen_be_ensrf.exe
+lrwxrwxrwx 1 xinzhang users 24 Jun 16 11:46 var/da/gen_be_ep1.exe -> ../gen_be/gen_be_ep1.exe
+lrwxrwxrwx 1 xinzhang users 24 Jun 16 11:46 var/da/gen_be_ep2.exe -> ../gen_be/gen_be_ep2.exe
+lrwxrwxrwx 1 xinzhang users 25 Jun 16 11:46 var/da/gen_be_etkf.exe -> ../gen_be/gen_be_etkf.exe
+lrwxrwxrwx 1 xinzhang users 31 Jun 16 11:46 var/da/gen_be_stage0_wrf.exe -> ../gen_be/gen_be_stage0_wrf.exe
+lrwxrwxrwx 1 xinzhang users 33 Jun 16 11:46 var/da/gen_be_stage1_1dvar.exe -> ../gen_be/gen_be_stage1_1dvar.exe
+lrwx!
rwxrwx 1 xinzhang users 27 Jun 16 11:46 var/da/gen_be_stage1.exe -> ../gen_be/gen_be_stage1.exe
+lrwxrwxrwx 1 xinzhang users 33 Jun 16 11:46 var/da/gen_be_stage2_1dvar.exe -> ../gen_be/gen_be_stage2_1dvar.exe
+lrwxrwxrwx 1 xinzhang users 28 Jun 16 11:46 var/da/gen_be_stage2a.exe -> ../gen_be/gen_be_stage2a.exe
+lrwxrwxrwx 1 xinzhang users 27 Jun 16 11:46 var/da/gen_be_stage2.exe -> ../gen_be/gen_be_stage2.exe
+lrwxrwxrwx 1 xinzhang users 27 Jun 16 11:46 var/da/gen_be_stage3.exe -> ../gen_be/gen_be_stage3.exe
+lrwxrwxrwx 1 xinzhang users 34 Jun 16 11:46 var/da/gen_be_stage4_global.exe -> ../gen_be/gen_be_stage4_global.exe
+lrwxrwxrwx 1 xinzhang users 36 Jun 16 11:46 var/da/gen_be_stage4_regional.exe -> ../gen_be/gen_be_stage4_regional.exe
+da_wrfvar.exe is the main executable for running WRF-Var. Make sure it is created after the compilation. Sometimes (unfortunately) it is possible that other utilities get succe!
ssfully compiled while the main da_wrfvar.exe fails.
+The bas!
ic gen_b
e utility for regional model consists of gen_be_stage0_wrf.exe, gen_be_stage1.exe, gen_be_stage2.exe, gen_be_stage2a.exe, gen_be_stage3.exe, gen_be_stage4_regional.exe, and gen_be_diags.exe.
+da_updated_bc.exe is used for updating WRF boundary condition after a new WRF-Var analysis is done.
+da_advance_time.exe is a very handy and useful tool for date manipulation. Type da_advance_time to see its usage instruction.
+Executables for running WRF-Var and gen_be are created at this step. Proceed to the next section to learn how to build OBSPROC. After successful compilation of WRF-Var you are ready to run WRF-Var for the test case.
+Running Observation Preprocessor (OBSPROC)
+OBSPROC program reads in process decoded observations in LITTLE_R format (a legendary ASCII format since MM5 era)., Please refer to HYPERLINK "http://www.mmm.ucar.edu/mm5/mm5v3/data/how_to_get_rawdata.html" http://www.mmm.ucar.edu/mm5/mm5v3/data/how_to_get_rawdata.html for LITTLE_R fo!
rmat description. For this tutorial, an observation file in LITTLE_R format is provided. For your applications, you will have to prepare your own observation files. Please see HYPERLINK "http://www.mmm.ucar.edu/mm5/mm5v3/data/free_data.html" http://www.mmm.ucar.edu/mm5/mm5v3/data/free_data.html for the sources of some freely available observations and the program for converting the observations to LITTLE_R format. such as the ouput of the MM5 "gts_decoder" or the "fetch.csh" utilities for inputing into the WRF-Var system. If you have no idea about the LITTLE_R format, please refer to HYPERLINK "http://www.mmm.ucar.edu/mm5/mm5v3/data/how_to_get_rawdata.html" http://www.mmm.ucar.edu/mm5/mm5v3/data/how_to_get_rawdata.html. If you have observations in other various format, a sample program (LITTLE_R/util/upa.f) for writing out data in little_r format can be obtained from HYPERLINK "ftp://ftp.ucar.edu/mesouser/MM5V3/V3-7-0!
/LITTLE_R.TAR.gz" ftp://ftp.ucar.edu/mesouser/MM5V3/V3-!
7-0/LITT
LE_R.TAR.gz
+
+BThe basic operations performed by 3dvar_obsOBSPROC are:
+Remove observations outside the time range and domain (horizontal and top).
+Re-order and merge duplicate (in time and location) data reports.
+Retrieve pressure or height based on observed information using the hydrostatic assumption.
+Check vertical consistency and super adiabatic for multi-level observations.
+Assign observational errors based on a pre-specified error file.
+Write out the observation file to be used by WRF-Var in ASCII or BUFR format.
+Plot the distribution of each observation type.
+1) Remove the observations outside the time range and domain (horizontal and top).
+2) Re-order and merge the duplicate (in time and location) data reports.
+3) Retrieve the pressure or height based on the observed information using the with the hydrostatic assumption.
+4) Check the vertical consistency and super adiabatic for multi-level observations.
+5) Estimate Assign observational errors based on!
the a pre-specified error file.
+6) Write out the observation file to be usedat the by WRF-Var in ASCII or BUFRinput format.
+7) Plot the distribution of for each type of observation types.
+
+WRF-Var observation preprocessor is residing under WRFDA/var/obsproc directory
+ > cd WRFDA/var/obsproc
+ > make
+Once this is completed (a minute or less on most machines), you can check for the presence of the OBSPROC executable src/3dvar_obs.exe
+Before running 3dvar_obs.exe, create the desired namelist file namelist.3dvar_obs (see WRFDA/var/obsproc/README.namelist, or section Description of Namelist Variables for details);
+For your reference in var/obsproc directory a file named namelist_3dvar_obs.wrfvar-tut have has already been created. Thus, proceed as follows.
+ > cp namelist.3dvar_obs.wrfvar-tut namelist.3dvar_obs
+edit namelist.3dvar_obs
+In this namelist file, all you need is to change the full path and name of the observation file (ob.little_r) d!
epending upon where this file is downloaded and where it final!
ly resid
es.
+To run OBSPROC, type
+ > 3dvar_obs.exe >&! 3dvar_obs.out
+Once 3dvar_obs.exe has completed successfully, you will see an observation data file: obs_gts_2007-01-02_00:00:00.3DVAR, in obsproc directory. This is the input observation file to WRF-Var.
+obs_gts_2007-01-02_00:00:00.3DVAR is an ASCII file that contains a header section (listed below) followed by observations. The meanings and format of observations in the file are described in the last 6 lines of the header section.
+TOTAL = 24424, MISS. =-888888.,
+SYNOP = 1014, METAR = 2551, SHIP = 270, BUOY = 295, BOGUS = 0, TEMP = 122,
+AMDAR = 224, AIREP = 1303, PILOT = 112, SATEM = 204, SATOB = 18216, GPSPW = 113,
+GPSZD = 0, GPSRF = 0, GPSEP = 0, SSMT1 = 0, SSMT2 = 0, TOVS = 0,
+QSCAT = 0, PROFL = 0, AIRSR = 0, OTHER = 0,
+PHIC = 40.92, XLONC = -98.00, TRUE1 = 30.00, TRUE2 = 60.00, XIM11 = 9.00, XJM11 = 9.00,
+base_temp= 300.00, base_lapse= !
50.00, PTOP = 5000., base_pres=100000., base_tropo_pres= 20000., base_st
+rat_temp= 215.,
+IXC = 61, JXC = 61, IPROJ = 1, IDD = 2, MAXNES= 2,
+NESTIX= 61, 45,
+NESTJX= 61, 45,
+NUMC = 1, 1,
+DIS = 200.00, 200.00,
+NESTI = 1, 9,
+NESTJ = 1, 9,
+INFO = PLATFORM, DATE, NAME, LEVELS, LATITUDE, LONGITUDE, ELEVATION, ID.
+SRFC = SLP, PW (DATA,QC,ERROR).
+EACH = PRES, SPEED, DIR, HEIGHT, TEMP, DEW PT, HUMID (DATA,QC,ERROR)*LEVELS.
+INFO_FMT = (A12,1X,A19,1X,A40,1X,I6,3(F12.3,11X),6X,A5)
+SRFC_FMT = (F12.3,I4,F7.2,F12.3,I4,F7.3)
+EACH_FMT = (3(F12.3,I4,F7.2),11X,3(F12.3,I4,F7.2),11X,3(F12.3,I4,F7.2)))
+#-----------------------------------------------------------------------------#
+ observations
+ Before running WRF-Var, you may like to learn more about various types of data you are aiming to assimilate for this case, its geographical distribution etc. This file is in ASCII forma!
t and so you can easily view it. To have a graphical view abo!
ut the c
ontent of this file, there is a MAP_plot utility to look at the data distribution for each type of observations. To exercise this, proceed as follows.
+> cd MAP_plot
+Modify the script Map.csh to set the time window and full path of input observation file (obs_gts_2007-01-02_00:00:00.3DVARobs_gts.3dvar). Precisely, the following string in this script as follows.
+ TIME_WINDOW_MIN = 2007010121
+ TIME_ANALYSIS = 2007010200
+ TIME_WINDOW_MAX = 2007010203
+ OBSDATA = ../obs_gts_2007-01-02_00:00:00.3DVARobs_gts.3dvar
+Type
+
+ > Map.csh
+When the job has completed, you will have a gmeta file gmeta.{analysis_time} corresponding to analysis_time=2007010200. This contains plots of data distribution for each type of observations contained in the OBS data file: obs_gts_2007-01-02_00:00:00.3DVARobs_gts.3dvar. To view this, type
+
+ > idt gmeta.2007010200
+It will display (panel by panel) geographical distribution of !
various types of data which are listed in the header of obs_gts.3dvar. Following is the geographic distribution of sonde observations for this case.
+
+
+After creating successfully your own observation file (obs_gts.3dvar), copy it to $DAT_DIR using the command (from obsproc directory)
+> mv obs_gts_2007-01-02_00:00:00.3DVAR & $DAT_DIR/ob/2007010200/ob.ascii
+
Running WRF-Var
-In this section, you will learn how to run WRF-Var using observations and a first guess from a low-resolution (200 km) CONUS domain.
+In this section, you will learn how to run WRF-Var using observations and a first guess from a low-resolution (200 km) CONUS domain (see below).
a. Download Test Data
-The WRF-Var system requires three input files to run: a) A WRF first guess input format file output from either WPS (cold-start) or WRF itself (warm-start), b) Observations (in ASCII little_r format or PREBUFR), and c) A background error statistics file (containing backgrou!
nd error covariance currently calculated via the NMC-method us!
ing gen
_be utility of WRF-Var).
+The WRF-Var system requires three input files to run: a) A WRF first guess input format file output from either WPS/real (cold-start) or WRF itself (warm-start), b) Observations (in ASCII little_r format or PREBUFR), and c) A background error statistics file (containing background error covariance currently calculated via the NMC-method), using gen_be utility of WRF-Var.
The following table summarizes the above info:
Input DataFormatCreated By
First Guess
-NETCDFWRF Preprocessing System (WPS)
+NETCDF
+WRF Preprocessing System (WPS) and real.exe
or WRFObservationsASCII
-(PREPBUFR also possible) HYPERLINK \l "_Running_Observation_Preprocessor" Observation Preprocessor (OBSPROC)Background Error StatisticsBinary HYPERLINK \l "_Running_gen_be" WRF-Var gen_be utilityIn the online tutorial, you will store data in a directory defined by the environment variable $DAT_DIR. This directory can be at any l!
ocation and it should have read access. To run this case there should be at least 100MB of space available (other cases can require significantly more). Type
- > setenv DAT_DIR dat_dir
-Here, "dat_dir" is your own chosen directory where WRF-Var input data will be stored. Create this directory, if it does not exist, and type
+(PREPBUFR also possible) HYPERLINK \l "_Running_Observation_Preprocessor" Observation Preprocessor (OBSPROC)Background Error StatisticsBinary HYPERLINK \l "_Running_gen_be" WRF-Var gen_be utilityIn the online tutorial, you will store data in a directory defined by the environment variable $DAT_DIR. This directory can be at any location and it should have read access. To run this case it is desired to have at least 100MB of memory to be made available on your machine (maybe much more for other cases). Type
+ > setenv DAT_DIR your_choice_of_dat_dir
+Here, "your_choice_of_dat_dir" is your o!
wn chosenthe directory where you aim to store the WRF-Var inp!
ut data.
Create this directory, if it does not exist, and type
> cd $DAT_DIR
-Download the tutorial test data for the con200 case, which is valid at 0000 UTC on 02 January 2007, from
+Download the tutorial test data for a con200 case which is valid at 00 UTC 02 January 2007 test case from
HYPERLINK "http://www.mmm.ucar.edu/wrf/src/data/WRFV3-Var-testdata.tar.gz" http://www.mmm.ucar.edu/wrf/src/data/WRFV3-Var-testdata.tar.gz
-Once you have downloaded WRFV3-Var-testdata.tar.gz file to $DAT_DIR, extract it by typing
+Once you have downloaded WRFV3-Var-testdata.tar.gz file to $DAT_DIR, then extract it by typing
> gunzip WRFV3-Var-testdata.tar.gz
> tar -xvf WRFV3-Var-testdata.tar
-After unpacking the test data, the following directories and files should exist within $DAT_DIR
-ob/2007010200/ob.little_r (Observation data in little_r format) rc/2007010200/wrfinput_d01 (First guess file) rc/2007010200/wrfbdy_d01 (Lateral boundary file) be/be.dat !
(Background error file)
-By this point, you have all three input files (first guess, observation, and background error statistics) required to run WRF-Var. Also, you have successfully downloaded and compiled the WRF-Var code. If not, these steps must first be completed in order to run the test case.
+Now you may should find the following three sub-directories/files under $DAT_DIR
+ ob/2007010200/ob.little_r ### Observation data in little_r format
+ rc/2007010200/wrfinput_d01 ###First guess file
+ rc/2007010200/&wrfbdy_d01 ###First guess &### lateral boundary file
+ be/be.dat ### Background error file
+You should first go through the section Running Observation Preprocessor (OBSPROC) and have a WRF-Var-ready observation file (obs_gts_2007-01-02_00:00:00.3DVAR) generated in your OBSPROC working directory. You could then copy or move obs_gts_2007-01-02_00:00:00.3DVAR !
to be in $DAT_DIR/ob/2007010200.
+NowBy this stage you have al!
l the th
ree input files (first guess, observation and background error statistics files in directory $DAT_DIR) required to run WRF-Var. Also, you have successfully downloaded and compiled the WRF-Var code. If this is correct, we are ready to learn how to run WRF-Var.
b. Run The Case
-The data for this case is valid at 00 UTC, 2nd January 2007. The first guess comes from the NCEP global final analysis system (FNL), passed through the WPS and real pre-processing packages. The first-guess level 18 potential temperature field is shown below, illustrating the domain:
+The data for this case is valid at 00 UTC 2nd January 2007. The first guess comes from the NCEP global final analysis system (FNL), passed through the WRF-WPS and real packagesprograms. The first-guess level 18 potential temperature field is shown below, illustrating the domain:
-Note: In WRF-Var, various NCL scripts are included under the var/graphics/ncl sub-directory to display results.
-We provide a sample script t!
o run the codes in WRFDA/var/scripts/wrappers/da_run_suite_wrapper_con200.ksh. In order to use the script, the following environment variables need to be set in this script.
-REL_DIR - Full path of the parent code directory WRFVAR_DIR - Full directory path of wrfvar under $REL_DIR DAT_DIR - Full path of data input holding ob, be, rc directories REGION - String representing region under $DAT_DIR OB_DIR - Full path for Observation directory RC_DIR - Full path for FG directory BE_DIR - Full path for background error (BE) directory INITIAL_DATE - Initial date for running WRF-Var FINAL_DATE - Final date for running WRF-Var
+NoteHint: In WRF-Var various NCL scripts are included under var/graphics/ncl sub-directory to display results.
+To run WRF-Var, first create a working directory, for example, WRFDA/var/test, then follow the steps below:
+cd WRFDA/var/test (go to the working directory)
+ln -sf WRFDA/run/LANDUSE.TBL ./LANDUSE.TBL
+ln -sf $DAT_DIR/rc/200701020!
0/wrfinput_d01 ./fg (link first guess file as fg)
+ln -sf WRFD!
A/var/ob
sproc/obs_gts_2007-01-02_00:00:00.3DVAR ./ob.ascii (link OBSPROC processed observation file as ob.ascii)
+ln -sf $DAT_DIR/be/be.dat ./be.dat (link background error statistics as be.dat)
+ln -sf WRFDA/var/da/da_wrfvar.exe ./da_wrfvar.exe (link executable)
+vi namelist.input (a very basic namelist.input for running the tutorial test case is shown below. Only time and domain settings need to be specified for a certain case if using default settings provided in WRFDA/Registry/Registry.wrfvar)
+&wrfvar1 / &wrfvar2 /
+&wrfvar3
+/
+&wrfvar4
+/
+&wrfvar5
+/
+&wrfvar6
+/
+&wrfvar7
+/
+&wrfvar8
+/
+&wrfvar9
+trace_use=false, (Note: if not specified, default trace_use=true is applied. A subdirectory trace has to be created in your working directory before running da_wrfvar.exe)
+/
+&wrfvar10
+/
+&wrfvar11
+/
+&wrfvar12
+/
+&wrfvar13
+/
+&wrfvar14
+/
+&wrfvar15
+/
+&wrfvar16
+/
+&wrfvar17
+/
+&wrfvar18
+analysis_da!
te="2007-01-02_00:00:00.0000",
+/
+&wrfvar19
+/
+&wrfvar20
+/
+&wrfvar21
+time_window_min="2007-01-01_21:00:00.0000",
+/
+&wrfvar22
+time_window_max="2007-01-02_03:00:00.0000",
+/
+&wrfvar23
+/
+&time_control
+start_year=2007,
+start_month=01,
+start_day=02,
+start_hour=00,
+end_year=2007,
+end_month=01,
+end_day=02,
+end_hour=00,
+/
+&dfi_control
+/
+&domains
+e_we=45,
+e_sn=45,
+e_vert=28,
+dx=200000,
+dy=200000,
+/
+&physics
+mp_physics=3,
+sf_surface_physics=1,
+num_soil_layers=5, (IMPORTANT: its essential to make sure the setting here is consistent with the number in your first guess file)
+/
+&fdda
+/
+&dynamics
+/
+&bdy_control
+/
+&grib2
+/
+&namelist_quilt
+/
+da_wrfvar.exe >&! wrfda.log
+wrfda.log (or rsl.out.0000 if running in MPP mode) contains important WRF-Var runtime log. Always check the log after a WRF-Var run:
+*** VARIATIONAL ANALYSIS ***
+ DYNAMICS OPTION: Eul!
erian Mass Coordinate
+ WRF NUMBER OF TILES = 1
+Set up obse!
rvations
(ob)
+
+Using ASCII format observation input
+
+Observation summary
+ ob time 1
+ sound 122 global, 121 local
+ synop 1007 global, 995 local
+ pilot 112 global, 112 local
+ satem 204 global, 203 local
+ geo amv 18216 global, 17336 local
+ polar amv 0 global, 0 local
+ airep 1527 global, 1521 local
+ gpspw 113 global, 113 local
+ gpsrf 0 global, 0 local
+ metar 2551 global, 2543 local
+ ship 270 global, 260 local
+ ssmi_rv 0 global, 0 local
+ ssmi_tb 0 global, 0 local
+ ssmt1 0 global, 0 local
+ ssmt2 0 global, 0 local
+ qscat 0 global, 0 local
+ profiler 0 global, 0 local
+ buoy 241 global, 236 local
+ bogus 0 global, !
0 local
+ pseudo 0 global, 0 local
+ radar 0 global, 0 local
+ airs retrieval 0 global, 0 local
+ sonde_sfc 122 global, 121 local
+
+Set up background errors for regional application
+ WRF-Var dry control variables are:psi, chi_u, t_u and psfc
+ Humidity control variable is q/qsg
+ Using the latitude-dependent regression coefficients for unbalanced part
+
+Vertical truncation for psi = 7( 99.00%)
+Vertical truncation for chi_u = 13( 99.00%)
+Vertical truncation for t_u = 18( 99.00%)
+Vertical truncation for rh = 19( 99.00%)
+
+Calculate innovation vector(iv)
+
+Minimize cost function using CG method
+For this run cost function diagnostics will not be written
+
+Starting outer iteration : 1
+Original gradient is 1.61953446D+03
+For this outer iteration gradient target is 1.61953446D+01
+Starting cost function: 3.72932670D+04 gradient= 1.61953446D+03
+-----------!
-----------------------------------------------
+Iter Gra!
dient
Step
+ 1 1.13151571D+03 8.79101077D-04
+ 2 1.46537384D+03 6.98252394D-04
+ 3 1.19033459D+03 6.88681033D-04
+ 4 8.78826374D+02 6.17939851D-04
+ 5 7.83595468D+02 1.45421881D-03
+ 6 6.99681898D+02 1.29468392D-03
+ 7 6.39856666D+02 2.00297168D-03
+ 8 5.33499758D+02 1.65057269D-03
+ 9 4.69363328D+02 2.15663522D-03
+ 10 4.01600476D+02 2.53583608D-03
+ 11 3.73654859D+02 2.76667326D-03
+ 12 3.90839239D+02 1.84643620D-03
+ 13 3.23899036D+02 2.99752511D-03
+ 14 2.67936599D+02 3.49609161D-03
+ 15 2.64310685D+02 5.35852133D-03
+ 16 2.23077349D+02 4.23941655D-03
+ 17 5.68372735D+02 4.31270668D-03
+ 18 2.31310832D+02 2.90459005D-04
+ 19 2.09446584D+02 3.16564182D-03
+ 20 1.94649895D+02 4.16554352D-03
+ 21 1.86709131D+02 5.00033208D-03
+ 22 3.78235215D+02 !
3.49485805D-03
+ 23 1.69342578D+02 5.81454290D-04
+ 24 1.44526289D+02 5.01503626D-03
+ 25 1.53530244D+02 4.89240828D-03
+ 26 1.35043290D+02 4.38122156D-03
+ 27 1.43780803D+02 5.71128726D-03
+ 28 1.95861290D+02 3.72046008D-03
+ 29 1.10475835D+02 8.16205000D-04
+ 30 2.87379421D+02 4.51750717D-03
+ 31 1.06941836D+02 2.83923368D-04
+ 32 1.04814926D+02 5.97535144D-03
+ 33 1.01539664D+02 4.95983149D-03
+ 34 1.06306876D+02 1.48102495D-03
+ 35 7.92189989D+01 3.68566289D-03
+ 36 8.36273942D+01 6.84077832D-03
+ 37 8.59028495D+01 4.09124884D-03
+ 38 7.84949162D+01 1.08802337D-03
+ 39 1.01018622D+02 1.05878433D-03
+ 40 5.37227188D+01 2.47360775D-03
+ 41 7.04278915D+01 7.89824806D-03
+ 42 6.62336908D+01 1.43025762D-03
+ 43 9.33770584D+01 3.62044738D-03
+ 44 5.55140747D+01 !
2.72494346D-04
+ 45 3.93342642D+01 5.87168964D-03!
+ 46
4.94905278D+01 9.86698816D-03
+ 47 4.03899127D+01 1.88442819D-03
+ 48 3.81187624D+01 4.57030374D-03
+ 49 2.98708908D+01 6.61640123D-03
+ 50 4.86119145D+01 9.34025763D-03
+ 51 3.18604235D+01 7.74495910D-04
+ 52 2.39159452D+01 6.05519031D-03
+ 53 2.50398997D+01 9.18225574D-03
+ 54 3.23991828D+01 8.61134331D-04
+ 55 6.58894613D+01 3.48288133D-03
+ 56 1.81965287D+01 2.56097798D-04
+ 57 1.70228972D+01 1.21796000D-02
+ 58 2.66169790D+01 6.64619203D-03
+ 59 2.21045264D+01 2.20570553D-03
+ 60 1.87163164D+01 1.30663254D-03
+ 61 1.29292558D+01 7.10679099D-03
+----------------------------------------------------------
+
+Inner iteration stopped after 61 iterations
+
+Final: 61 iter, J= 2.99744265D+04, g= 1.29292558D+01
+----------------------------------------------------------
+
+Diagnostics
+ Final cost function J !
= 29974.43
+
+ Total number of obs. = 68544
+ Final value of J = 29974.42650
+ Final value of Jo = 28880.81151
+ Final value of Jb = 1093.61499
+ Final value of Jc = 0.00000
+ Final value of Je = 0.00000
+ Final J / total num_obs = 0.43730
+ Jb factor used(1) = 1.00000
+ Jb factor used(2) = 1.00000
+ Jb factor used(3) = 1.00000
+ Jb factor used(4) = 1.00000
+ Jb factor used(5) = 1.00000
+ Jb factor used = 1.00000
+ Je factor used = 1.00000
+
+SUCCESS COMPLETE WRFVAR
+
+ *** WRF-Var completed successfully ***
+A file called namelist.output (which contains the complete namelist settings) will be generated after a successful da_wrfvar.exe run. Those settings appear in namelist.output that are not specified in!
your namelist.input are the default values from WRFDA/Registr!
y/Regist
ry.wrfvar.
+After We provides a sample script to run the codes in WRFDA/var/scripts/wrappers/da_run_suite_wrapper_con200.ksh. Following environment variables needs to be set in this script depending upon your case.
+REL_DIR - Full path of the parent code directory
+WRFVAR_DIR - Full directory path of wrfvar under $REL_DIR
+DAT_DIR - Full path of data input holding ob, be, rc directories
+REGION - String representing region under $DAT_DIR
+OB_DIR - Full path for Observation directory
+RC_DIR - Full path for FG directory
+BE_DIR - Full path for background error (BE) directory
+INITIAL_DATE - Initial date for running WRF-Var
+FINAL_DATE - Final date for running WRF-Var
+Following environment variables are optional:
+EXPT - Experiment ID (expt)
+RUN_DIR - Full path for run directory
+FC_DIR - Analysis output directory
+Note: Since output is written in $RUN_DIR, user has to ensure that this directory/area has proper write permission.
+Once you have set the !
necessary environment variables, you can run this case by typing
+ da_run_suite_wrapper_con200.ksh
+in WRFDA/var/scripts/wrappers subdirectory or from the directory where your modified wrapper script is located.
+Ssuccessful completion of job, wrfvar_output (the WRF-Var analysis file, i.e. the new initial condition for WRF) should appear in the working directory along with results in a number of output diagnostic files in ${RUN_DIR} directory. The final analysis file (wrfinput_d01) will appear under $FC_DIR/2007010200 directory. Various textual diagnostics output files will be explained in the next section (HYPERLINK \l "_WRF-Var_Diagnostics_1"WRF-Var Diagnostics).
+In order to understand the role of various important WRF-Var options, try re-running WRF-Var by changing different namelist options via wrapper script. For example, making WRF-Var convergence criteria more stringent by reducing the value of EPS to e.g. 0.0001 by settadding "NL_EPS=0.0001!
" in namelist.input record &wrfvar6your wrapper scrip!
t. If WR
F-Var has not converged by the maximum number of iterations (NTMAX=200) then you may need to increase the value of NTMAX variable by setting "export NL_NTMAX=500" in your wrapper script and may like to run the case again this case. Last section of this tutorial deals with many such WRF-Var additional exercises.
+Note: You may like to change RUN_DIR environment variable to store results separately for each run. In your wrapper script by setting the option CLEAN=true, you can save lot of space as this option removes contents of working directory.
-The following environment variables are optional:
-EXPT - Experiment ID (expt) RUN_DIR - Full path for run directory FC_DIR - Analysis output directory
-Note: Since output is written in $RUN_DIR, it is important for this directory to have write permissions enabled for the user account under which the test case will be run.
-Once you have set the necessary environment variables, the case may be run by typ!
ing
- > da_run_suite_wrapper_con200.ksh
-in the WRFDA/var/scripts/wrappers subdirectory (or from the directory where your modified wrapper script is located).
-Successful completion of the test case results in a number of output diagnostic files in the ${RUN_DIR} directory. The final analysis file (wrfinput_d01) will appear under the ${FC_DIR}/2007010200 directory. The various textual diagnostics output files will be explained in the next section (HYPERLINK \l "_WRF-Var_Diagnostics_1"WRF-Var Diagnostics).
-In order to understand the role of various important WRF-Var options, try re-running WRF-Var by changing different namelist options via the wrapper script. For example, make the WRF-Var minimization convergence criteria more stringent by reducing the value of EPS to, e.g., 0.0001 by setting "NL_EPS=0.0001" in your wrapper script. If WRF-Var has not converged by the maximum number of iterations (NTMAX=200) then you may need to increase the !
value of NTMAX variable by setting "export NL_NTMAX=500&q!
uot; in
your wrapper script, and in this event, you may like to run the case again. The last section of this tutorial deals with many such WRF-Var additional exercises.
-Note: You may like to change the ${RUN_DIR} environment variable to store results separately for each run. In your wrapper script, setting the option CLEAN=true can save lot of space, since this option removes the contents of the working directory.
-
WRF-Var Diagnostics
WRF-Var produces a number of diagnostic files that contain useful information on how the data assimilation has performed. This section will introduce you to some of these files, and what to look for.
-Having run WRF-Var, it is important to check a number of output files to see if the assimilation appears sensible. Change directory to where you ran this case:
- > cd ${RUN_DIR}/2007010200/wrfvar
+Having run WRF-Var, it is important to check a number of output files to see if the assimilation appears sensible. Change In the working directory!
to where you ran this case:
+ > cd ${RUN_DIR}/2007010200/wrfvar
> ls -l
-You will see something like the following:
--rw-r--r-- 1 users 2248804 check_max_iv -rw-r--r-- 1 users 1985 cost_fn -rw-r--r-- 1 users 1745 grad_fn -rw-r--r-- 1 users 9048641 gts_omb_oma -rw-r--r-- 1 users 8213 index.html -rw-r--r-- 1 users 2167 jo -rw-r--r-- 1 users 2009 namelist.input -rw-r--r-- 1 users 276658 namelist.output -rw-r--r-- 1 users 22730 statistics drwxr-xr-x 2 users 4096 trace -rw-r--r-- 1 users 4393186 unpert_obs drwxr-xr-x 3 users 4096 working
-The contents of some of the more useful diagnostic files are as follows:
-cost_fn and grad_fn: These files hold (in ASCII format) WRF-Var cost and gradient function values, respectively, for the first and last iterations. However, if you run with NL_CALCULATE_CG_COST_FN=true, these values will be listed for each iteration; this can be helpful for visualization purposes. The NCL script WRFDA/var/graphcs/ncl!
/plot_cost_grad_fn.ncl may be used to plot the content of cos!
t_fn and
grad_fn, if these files are generated with NL_CALCULATE_CG_COST_FN=true.
-Note: Make sure that you remove the first two records (header) in cost_fn and grad_fn. Also you need to specify the directory name for these two files.
-gts_omb_oma: This file holds (in ASCII format) information about each type of observation, such as value, quality, observation error, observation minus background (OMB) and observation minus analysis (OMA). This information is very useful for analysis or forecasts verification purposes.
-namelist.input: This is the WRF-Var namelist input file. It displays all the non-default options that have been defined by the user. If any of namelist-defined options did not appear in this file, you may like to check the variable name and verify that it matches a namelist entry in WRFDA/Registry/Registry.wrfvar.
-namelist.output: This file contains a consolidated list of all the namelist options used.
-rsl: A directory containing information on stand!
ard WRF-Var output from individual processors, in runs where multiple processors were used. It contains a wealth of information on the number of observations, minimization, timings, etc. Additional diagnostics may be printed in these files by including various print WRF-Var namelist options. To learn more about these additional print options, search for the string print_ in WRFDA/Registry/Registry.wrfvar.
-statistics: This text file contains OMB (OI), and OMA (OA) statistics (minimum, maximum, mean, and standard deviation) for each observation type and variable. This information is very useful in diagnosing how WRF-Var has used different components of the observing system. Also contained are the analysis minus background (A-B) statistics, i.e., statistics of the analysis increments for each model variable at each model level. This information is very useful in checking the range of analysis increment values found in the analysis, and where they are in the WRF-model g!
rid space.
-The final analysis file should be located in ${RUN!
_DIR}/20
07010200/wrfvar /working/wrfvar_output, and a second copy should also be found in ${FC_DIR}/2007010200/wrfinput_d01. It is in WRF (NETCDF) format, and may be visualized using the NCL script WRFDA/var/graphcs/ncl/WRF-Var_plot.ncl.
-You need to specify the analsyis_file name, its full path etc. The details are listed in this script as comments.
-As an example, if you are aiming to display U-component of the analysis at level 18, execute the following command after modifying the script WRFDA/var/graphcs/ncl/WRF-Var_plot.ncl
-> ncl WRF-Var_plot.ncl
-If successful, the script should display a figure similar the one below.
+You will see something like the following files generated after a successful WRF-Var run:
+total 15748
+-rw-r--r-- 1 xinzhang 2248804 Jun 18 13:17 check_max_iv
+-rw-r--r-- 1 xinzhang 1985 Jun 18 13:17 cost_fn
+-rw-r--r-- 1 xinzhang 1745 Jun 18 13:17 grad_fn
+-rw-r--r-- 1 xinzhang 9048641 Jun 18 13:17 gts_omb_oma
+-rw-r--r-- 1 xinzhang 8213 Jun 18!
13:17 index.html
+-rw-r--r-- 1 xinzhang 2167 Jun 18 13:17 jo
+-rw-r--r-- 1 xinzhang 2009 Jun 18 13:16 namelist.input
+-rw-r--r-- 1 xinzhang 276658 Jun 18 13:17 namelist.output
+-rw-r--r-- 1 xinzhang 22730 Jun 18 13:17 statistics
+drwxr-xr-x 2 xinzhang 4096 Jun 18 13:15 trace
+-rw-r--r-- 1 xinzhang 4393186 Jun 18 13:17 unpert_obs
+drwxr-xr-x 3 xinzhang 4096 Jun 18 13:17 working-rw-r--r-- 1 xinzhang 3651560 Jun 18 13:17 wrfvar_output
+Content of some useful diagnostic files are as follows:
+cost_fn & grad_fn: The twoese files hold (in ASCII format) WRF-Var cost & gradient function values respectively for only the first and last iterations. However, iIf you setrun with NL_CALCULATE_CG_COST_FN=true (in record &WRFVAR11 in namelist.input), it lists thesethe cost function values forof each iteration will be calculateds,. For visualization purpose, sometimes it is good to run WRF-Var with this option, as it will list the cost and gradient function fo!
r each iteratihowever, the run time will be significantly incr!
easedon.
FollowingA NCL script (WRFDA/var/graphcs/ncl/plot_cost_grad_fn.ncl) may be used tois provided for plotting the content of cont_fn & grad_fn , if these files are generated with NL_CALCULATE_CG_COST_FN=true. It may be visualized using following NCL script: WRFDA/var/graphcs/ncl/plot_cost_grad_fn.ncl as:
+
+ Note: Make sure that you removed first two records lines (header) in cost_fn & grad_fn before you plot. Also you need to specify the directory name for these two files.
+gts_omb_oma: It holds (in ASCII format) information of each type ofall observations, that got passed in WRF-Var. like its Each observation has its observed valuevalue, quality flag, observation error, observation minus background (OMB), and & observation minus analysis (OMA). This information is very useful for (both analysis or forecasts) verification purposes.
+namelist.input: WRF-Var input namelist file. It displays all the non-default options which user defined. If !
any of your namelist defined options did not appear in this file, you may like to check its name and match it with the WRFDA/Registry/Registry.wrfvar.
+namelist.output: Consolidated list of all the namelist options used.
+Rslrsl*: Directory Files containing information of standard WRF-Var output from individual processors when multiple processors are used. It contains host of information on number of observations, minimization, timings etc. Additional diagnostics may be printed in these files by including various print WRF-Var namelist options. TO To learn more about these additional print options, search print_ string in WRFDA/Registry/Registry.wrfvar.
+statistics: Text file containing OMB (OI), OMA (OA) statistics (minimum, maximum, mean and standard deviation) for each observation type and variable. This information is very useful in diagnosing how WRF-Var has used different components of the observing system. Also contained are the analysis minus ba!
ckground (A-B) statistics i.e. statistics of the analysis incr!
ements f
or each model variable at each model level. This information is very useful in checking the range of analysis increment values found in the analysis, and where they are in the WRF-model grid space.
+The final WRF-Var analysis file resides asis ${RUN_DIR}/2007010200/wrfvar /working/wrfvar_output,. also has a copy as $FC_DIR/2007010200/wrfinput_d01. It is in WRF (NETCDF) format. It will be the wrfinput_d01 of your following WRF run after lateral boundary and/or low boundary conditions are updated by another WRF-Var utility (See section Updating WRF lateral boundary conditions).
+It may be visualized using followingA NCL script: WRFDA/var/graphcs/ncl/WRF-Var_plot.ncl, is provided for plotting.
+You need to specify the analsyis_file name, its full path etc. Please see the in-line comments in the script for The details are listed in this script as comments..
+As an example, if you are aiming to display U-component of the analysis at level 18, execute following co!
mmand after modifying the script WRFDA/var/graphcs/ncl/WRF-Var_plot.ncl, make sure following piece of codes are uncommented:
+var = "U"
+fg = first_guess->U ;Theta-T0
+an = analysis->U ;Theta-T0
+plot_data = an
+When you execute the following command from WRFDA/var/graphics/ncl.
+ > ncl WRF-Var_plot.ncl
+It will display like:
-
-You may like to change the variable name, level, etc., in this script to display the variable of your choice at the desired sigma level.
+You may like to change the variable name, level etc in this script to display the variable of youre your choice at the desired sigma eta level.
Take time to look through the textual output files to ensure you understand how WRF-Var has performed. For example,
How closely has WRF-Var fitted individual observation types? Look at the statistics file to compare the O-B and O-A statistics.
How big are the analysis increments? Again, look in the statistics!
file to see minimum/maximum values of A-B for each variable a!
t variou
s levels. It will give you a feel of the impact of input observation data you assimilated via WRF-Var by modifying the input analysis first guess.
-How long did WRF-Var take to converge? Does it really converge? You will get the answers of all these questions by looking into rsl-files, as it indicates the number of iterations taken by WRF-Var to converge. If this is the same as the maximum number of iterations specified in the namelist (NTMAX) or its default value (=200) set in WRFDA/Registry/Registry.wrfvar, then it means that the analysis solution did not converge. If so, so you may like to increase the value of NTAMAX and re-run your case to ensure that the convergence is achieved.
-A good visual way of seeing the impact of assimilation of observations is to plot the analysis increments (i.e., analysis minus first guess difference). There are many different graphics packages used (e.g. RIP, NCL, GRADS etc) that can do this. The plot of level 18 theta increments, below!
, was produced using the particular NCL script. This script is located at WRFDA/var/graphcs/ncl/WRF-Var_plot.ncl
-You need to modify this script to fix the full path for first_guess and analysis files. You may also like to modify the display level by setting kl and the name of the variable to display by setting var. Further details are given in this script.
-If you are aiming to display increment of potential temperature at level 18, after modifying WRFDA/var/graphcs/ncl/WRF-Var_plot.ncl suitably.
-When you execute the following command from WRFDA/var/graphics/ncl.
-> ncl WRF-Var_plot.ncl
-The plot created should look similar to the one below.
+How long did WRF-Var take to converge? Does it really converge? You will get the answers of all these questions by looking into rsl-files, as it indicates the number of iterations taken by WRF-Var to converge. If this is the same as the maximum number of iterations specified in the namelist (NTMAX) or its default value (=2!
00) set in WRFDA/Registry/Registry.wrfvar, then it means that!
the ana
lysis solution did not converge. If so, so you may like to increase the value of NTAMAX and rerun your case to ensure that the convergence is achieved. On the other hand, a normal WRF-Var run should usually converge within 100 iterations. If it still doesnt converge in 200 iterations, that means there might be some problem in the observations or first guess.
+A good visual way of seeing the impact of assimilation of observations is to plot the analysis increments (i.e. analysis minus first guess difference). There are many different graphics packages used (e.g. RIP4, NCL, GRADS etc) that can do this. The plot of level 18 theta increments below was produced using the particular NCL script. This script is located at
+WRFDA/var/graphcs/ncl/WRF-Var_plot.ncl.
+You need to modify this script to fix the full path for first_guess & analysis files. You may also like to modify the display level by setting kl and the name of the variable to display by setting var. Further!
details are given in this script.
+If you are aiming to display increment of potential temperature at level 18, after modifying WRFDA/var/graphcs/ncl/WRF-Var_plot.ncl suitably, make sure following pieces of codes are uncommented:
+var = "T"
+fg = first_guess->T ;Theta- 300
+an = analysis->T ;Theta- 300
+plot_data = an - fg
+When you execute the following command from WRFDA/var/graphics/ncl.
+ > ncl WRF-Var_plot.ncl
+The plot created will looks as follows:
Note: Larger analysis increments indicate a larger data impact in the corresponding region of the domain.
+Note: Higher the analysis increments, more is the data impact in that region.
Updating WRF lateral boundary conditions
-Before running NWP forecasts using the WRF-model, you must modify the tendencies within the lateral boundary condition files to make it consistent with the new WRF-Var initial conditions (analysis). This is absolutely essential because when you initially genera!
ted the tendencies for the lateral boundary condition (in wrfb!
dy_d01 f
ile), it was consistent; but, subsequently, by doing WRF-Var, you changed the initial value (at t=0) and so, accordingly, the initial tendencies needs to be updated in this file (wrfbdy_d01) to adjust the change at the initial time.
-This is a simple procedure performed by the WRF utility da_updated_bc.
-Note: Make sure that you have da_update_bc.exe in the WRFDA/var/da directory. This executable automatically gets created when you compiled WRF-Var system.
-The da_update_bc.exe program is run (via the same wrapper script used for the con200 case) by adding following line to your wrapper script:
-export RUN_UPDATE_BC=true
-By setting this option, the standard script located at WRFDA/var/scripts/da_run_update_bc.ksh will be activated to update the content of the wrfbdy_d01 file. The new lateral boundary input file will be located at the $FC_DIR and with the same name. You may like to check its date of creation by issuing the following command
-> ls ltr $FC_DIR/200701020!
0/wrfbdy_d01
+Before running NWP forecast using WRF-model, you must modify the tendencies within the lateral boundary condition files to make it consistent with the new WRF-Var initial conditions (analysis). This is absolutely essential because when you initially generated the tendencies for the lateral boundary condition (in wrfbdy_d01 file), it was consistent but subsequently by doing WRF-Var you changed the initial value (at t=0) and so accordingly the initial tendencies needs to be updated in this file (wrfbdy_d01) to adjust the change at the initial time. Moreover, in the cycling run mode (warm-start), the low boundary in the WRF-Var anaylsis file also need to be updated based on the information of the wrfinput file generated by WPS/real.exe at the analysis time. So there are three input files: WRF-Var analysis, wrfinput and wrfbdy files from WPS/real.exe, and a namelist file: param.in for running update_bc.exe.
+This is a simple procedure performed by the WRF-Var uti!
lity called da_updated_bc.exe.
+Note: Make sure that you h!
ave da_
update_bc.exe in WRFDA/var/da directory. This executable automatically getsshould be created when you compiled WRF-Var systemcode,
+To run da_update_bc.exe, follow the steps below:
+cd WRFDA/var/test (the directory where you ran WRF-Var)
+cp p $DAT_DIR/rc/2007010200/wrfbdy_d01 ./wrfbdy_d01 (IMPORTANT: make a copy of wrfbdy_d01 as the wrf_bdy_file will be overwritten by da_update_bc.exe)
+vi param.in
+&control_param
+ wrfvar_output_file = './wrfvar_output'
+ wrf_bdy_file = './wrfbdy_d01'
+ wrf_input = '$DAT_DIR/rc/2007010200/wrfinput_d01'
+ cycling = .false. (set to .true. if WRF-Var first guess comes from a previous WRF forecast.)
+ debug = .true.
+ low_bdy_only = .false.
+ update_lsm = .false.
+/
+ln sf WRFDA/var/da/da_update_bc.exe ./da_update_bc.exe
+./da_updatebc.exe
+At this stage, you should have wrfvar_output and wrfbdy_d01 in your WRF-Var working. They are the WRF-Var updated initial condition and boundary condition for yo!
ur following WRF model run. Link of copy wrfvar_output and wrfbdy_d01 to be wrfinput_d01 and wrfbdy_d01 respectively in your WRF working directory.
+The update_bc.exe is run via the same wrapper script, you ran con200 by adding following line in your wrapper script.
+ export RUN_UPDATE_BC=true
+With this option standard script located at WRFDA/var/scripts/da_run_update_bc.ksh will be activated to update the content of wrfbdy_d01. The new lateral boundary input file will be located at the $FC_DIR and with the same name. You may like to check its date of creation by issuing the following command
+ > ls ltr $FC_DIR/2007010200/wrfbdy_d01
+
Running gen_be
-The gen_be utility is part of the WRF-Var system, and is therefore distributed as part of the WRFDA release. The Fortran code for gen_be can be found in WRFDA/var/gen_be. The scripts to run these codes are in WRFDA/var/scripts/gen_be.
+The background error statistics file supplied with the tutorial test!
case can NOT be used for your applications other than the tut!
orial ca
se. It is necessary to generate your domain-specific background error statistics with the gen_be utility.
-The input data for gen_be are WRF forecasts, which are used to generate model perturbations, used as a proxy for estimates of forecast error. As discussed above, for the NMC-method, the model perturbations are differences between forecasts (e.g., T+24 minus T+12 is typical for regional applications, T+48 minus T+24 for global) valid at the same time. Given input from an ensemble prediction system (EPS), the inputs are the ensemble forecasts, and the model perturbations created are the transformed ensemble perturbations.
+The gen_be utility is part of the WRF-Var system, and is therefore distributed as part of the WRFDA release. The fFortran main programscodes for gen_be can be found in WRFDA/var/gen_be. The executables of gen_be should be created after you have compiled the WRF-Var code (as described earlier). The scripts to run these codes are in WRFDA/var/scripts/g!
en_be.
-It is important to include forecast differences from at least 00Z and 12Z through the period, to remove the diurnal cycle (i.e., do not run gen_be using just 00Z or 12Z model perturbations alone).
+The input data for gen_be are WRF forecasts, which are used to generate model perturbations, used as a proxy for estimates of forecast error. As discussed above, fFor the NMC-method, the model perturbations are differences between forecasts (e.g. T+24 minus T+12 is typical for regional applications, T+48 minus T+24 for global) valid at the same time. Climatological estimates of background error may then be obtained by averaging such forecast differences over a period of time (e.g. one month). Given input from an ensemble prediction system (EPS), the inputs are the ensemble forecasts, and the model perturbations created are the transformed ensemble perturbations. The gen_be code has been designed to work with either forecast difference, or ensemble-based perturbations.!
The former is illustrated in this tutorial example.
-The in!
puts to
gen_be are NetCDF WRF forecast output ("wrfout") files at specified forecast ranges. To avoid unnecessarily large single data files, it is assumed that all forecast ranges are output to separate files. For example, if we wish to calculate BE statistics using the NMC-method with T+24 minus T+12 forecast differences (the default for regional) then by setting the WRF namelist.input options history_interval=12, and frames_per_outfile=1 we get the necessary output datasets. If the files are then arranged as follows, the gen_be_wrapper.ksh script can be used without significant modification to calculate the necessary "perturbations".
+It is important to include forecast differences from at least 00Z and 12Z through the period, to remove the diurnal cycle (i.e. do not run gen_be using just 00Z or 12Z model perturbations alone).
+The inputs to gen_be are NETCDF WRF forecast output ("wrfout") files at specified forecast ranges. To avoid unnecessary l!
arge single data files, it is assumed that all forecast ranges are output to separate files. For example, if we wish to calculate BE statistics using the NMC-method with (T+24)-(T+12) forecast differences (default for regional) then by setting the WRF namelist.input options history_interval=12, and frames_per_outfile=1 we get the necessary output datasets. If Then the forecast output files are thenshould be arranged as follows: directory name is the forecast initial time, time info in the file name is the forecast valid time. 2007010100/wrfout_d01_2007-01-01_12:00:00 mean a 12-hour forecast valid at 2007010112 initialized at 2007010100., the gen_be_wrapper.ksh script can be used without significant modification to calculate the necessary "perturbations".
+
+
Example directory/files structure for a CON200 domain (45 x 45 x 28 gridpoints):
+-rw-r--r-- 1 xinzhang users 3246536 Jun 16 15:07 2007010100/wrfout_d01_2007-01-01_00:00:00
-rw-r--r-- 1 users 3246536 2007!
010100/wrfout_d01_2007-01-01_00:00:00
-rw-r--r-- 1 users 3246!
536 2007
010100/wrfout_d01_2007-01-01_12:00:00
-rw-r--r-- 1 users 3246536 2007010100/wrfout_d01_2007-01-02_00:00:00
@@ -245,152 +620,188 @@
-rw-r--r-- 1 users 3246536 2007010300/wrfout_d01_2007-01-03_00:00:00
-rw-r--r-- 1 users 3246536 2007010300/wrfout_d01_2007-01-03_12:00:00
-rw-r--r-- 1 users 3246536 2007010300/wrfout_d01_2007-01-04_00:00:00
+-rw-r--r-- 1 xinzhang users 3246536 Jun 16 15:07 2007010100/wrfout_d01_2007-01-01_12:00:00
+-rw-r--r-- 1 xinzhang users 3246536 Jun 16 15:07 2007010100/wrfout_d01_2007-01-02_00:00:00
+-rw-r--r-- 1 xinzhang users 3246536 Jun 16 15:08 2007010112/wrfout_d01_2007-01-01_12:00:00
+-rw-r--r-- 1 xinzhang users 3246536 Jun 16 15:08 2007010112/wrfout_d01_2007-01-02_00:00:00
+-rw-r--r-- 1 xinzhang users 3246536 Jun 16 15:08 2007010112/wrfout_d01_2007-01-02_12:00:00
+-rw-r--r-- 1 xinzhang users 3246536 Jun 16 15:09 2007010200/wrfout_d01_2007-01-02_00:00:00
+-rw-r--r-- 1 xinzhang users 3246536 Jun 16 15:09 2007010200/wrfout_d01_2007-01-02_12:00:00
+-rw-r--r-- 1 xinzhang users 3246536 Jun 16 15:09 2007010200/wrfout_d01_2007-01-03_00:00:00
+-rw-r--r-- 1 xinzhang users 3246536 Jun 16!
14:42 2007010212/wrfout_d01_2007-01-02_12:00:00
+-rw-r--r-- 1 xinzhang users 3246536 Jun 16 14:42 2007010212/wrfout_d01_2007-01-03_00:00:00
+-rw-r--r-- 1 xinzhang users 3246536 Jun 16 14:42 2007010212/wrfout_d01_2007-01-03_12:00:00
+-rw-r--r-- 1 xinzhang users 3246536 Jun 16 14:43 2007010300/wrfout_d01_2007-01-03_00:00:00
+-rw-r--r-- 1 xinzhang users 3246536 Jun 16 14:43 2007010300/wrfout_d01_2007-01-03_12:00:00
+-rw-r--r-- 1 xinzhang users 3246536 Jun 16 14:43 2007010300/wrfout_d01_2007-01-04_00:00:00
-In the above example, only 3 days (00Z 01 Jan to 00Z 03 Jan. 2007) of forecasts, every 12 hours, are supplied to gen_be_wrapper to estimate forecast error covariance; this is only for demonstration. The minimum number of forecasts required depends on the application, number of grid points, etc. Month-long (or longer) datasets are typical for the NMC-method. Generally, at least 1-month dataset should be used.
+In the above example, only 3 days (00Z 01 Jan to 00Z 03 Jan. 2!
007) of forecasts, every 12 hours are supplied to gen_be_wrapp!
er to es
timate forecast error covariance. It is only for demonstration. The minimum number of forecasts required depends on the application, number of grid points, etc. Month-long (or longer) datasets are typical for the NMC-method. Generally, at least 1-month dataset should be used.
-Under the WRFDA/var/scripts/gen_be directory, the gen_be_wrapper.ksh is used to generate the BE data, and the following variables need to be set to fit your case:
+Under WRFDA/var/scripts/gen_be, gen_be_wrapper.ksh is used to generate the BE data, following variables need to be set to fit your case:
WRFVAR_DIR=/karri/users/xinzhang/support/WRFDA #WRFDA path
REGION=con200 #Region ID
EXPT=expt # Experiment ID
EXP_DIR=/karri/users/xinzhang/support/$REGION/$EXPT
START_DATE=2007010200
-END_DATE=2007010300
+END_DATE=20070103002007010312
NUM_LEVELS=28
+Note: The START_DATE and END_DATE are perturbation valid dates. As show in the forecast list above, when you have 24-hour and 12-hour forec!
asts initialized at 2007010100 through 2007010300, the first and final forecast difference valid dates are 2007010200 and 2007010312 respectively.
+
Note: The forecast dataset should be located in $EXP_DIR/fc. Then type:
-> gen_be_wrapper.ksh
+ > gen_be_wrapper.ksh
-Once gen_be_wrapper.ksh completes, the be.dat file can be found under the $EXP_DIR/gen_be directory.
+Once gen_be_wrapper.ksh runs completed, the be.dat can be found under $EXP_DIR/gen_be directory.
-To get a clearer idea about what are include in BE, the script gen_be_plot_wrapper.ksh may be used to plot various data in be.dat such as
+To get a clear idea about what are included in BEbe.dat, the script gen_be_plot_wrapper.ksh may be used to plot various data in be.dat such as:
-
-
-Running Observation Preprocessor (OBSPROC)
-The OBSPROC program decodes observations in LITTLE_R format, such as the ouput of the MM5 "gts_decoder" or the "fetch.csh" utilities for inputti!
ng into the WRF-Var system. For more information about the LIT!
TLE_R fo
rmat, please refer to HYPERLINK "http://www.mmm.ucar.edu/mm5/mm5v3/data/how_to_get_rawdata.html" http://www.mmm.ucar.edu/mm5/mm5v3/data/how_to_get_rawdata.html.
-The basic operations performed by OBSPROC are:
-Remove the observations outside the time range and domain (horizontal and top).
-Re-order and merge the duplicate (time and location) data reports.
-Retrieve the pressure or height based on the observed information with the hydrostatic assumption.
-Check the vertical consistency and super adiabatic for multi-level observations.
-Estimate observational error based on the pre-specified error file.
-Write out at the WRF-Var input format.
-Plot the distribution for each type of observations.
-
-The WRF-Var observation preprocessor may be found in the WRFDA/var/obsproc directory
-> cd WRFDA/var/obsproc
- > make
-Once this is complete (a minute or less on most machines), you can check for the presence of the OBSPROC executable src/3dvar_obs.exe.
-Bef!
ore running 3dvar_obs.exe, create the desired namelist file namelist.3dvar_obs (see README.namelist for details);
-For your reference in var/obsproc directory, a file named namelist_3dvar_obs.wrfvar-tut has already been created. Thus, proceed as follows:
- > cp namelist.3dvar_obs.wrfvar-tut namelist.3dvar_obs
-edit namelist.3dvar_obs
-In this namelist file, all you need is to change the full path and name of the observation file (ob.little_r) depending upon where this file is downloaded and where it finally resides.
-To run OBSPROC, type
-> 3dvar_obs.exe >&! 3dvar_obs.out
-Once 3dvar_obs.exe has completed successfully, you will see an observation data file, obs_gts.3dvar, in the obsproc directory. This is the input observation file to WRF-Var. Before running WRF-Var, you may like to learn more about various types of data you are aiming to assimilate for this case, for example, their geographical distribution, etc. This file is in ASCII format and so you c!
an easily view it. To graphically view the contents of this f!
ile, the
re is a MAP_plot utility to look at the data distribution for each type of observations. To run MAP_plot, proceed as follows.
-> cd MAP_plot
-Modify the script Map.csh to set the time window and full path of input observation file (obs_gts.3dvar). Precisely, the following string in this script as follows.
-TIME_WINDOW_MIN = 2007010121 TIME_ANALYSIS = 2007010200 TIME_WINDOW_MAX = 2007010203 OBSDATA = ../obs_gts.3dvar
-Type
-> Map.csh
-When the job has completed, you will have a gmeta file gmeta.{analysis_time} corresponding to analysis_time=2007010200. This contains plots of data distribution for each type of observations contained in the OBS data file, obs_gts.3dvar. To view this, type
-> idt gmeta.2007010200
-It will display (panel by panel) geographical distribution of various types of data that are listed in the header of obs_gts.3dvar. The geographical distribution of sonde observations for this test case are shown in the figure below.
-
-
-After !
successfully creating your own observation file (obs_gts.3dvar), copy it to $DAT_DIR using the command (issued from the obsproc directory)
- > mv obs_gts.3dvar $DAT_DIR/ob/2007010200/ob.ascii
-
+
Additional WRF-Var Exercises:
(a) Single Observation response in WRF-Var:
-In WRF-Var, when you activate the namelist option pseudo=1 by defining
+Single observation test is done Iin WRF-Var by , when yousetting num_pseudo=1 along with other pre-specified values in record &wrfvar15 and &wrfvar19 of namelist.input, activate the namelist option pseudo=1 by defining
+export NL_NUM_PSEUDO=1
+
+With the settings shown below, WRF-Var generates a single observation with pre-specified innovation Observation First Guess) value at desired location e.g at (in terms of grid co-ordinate) 23x23, level 14 for U observation with error characteristics 1 m/s, innovation size = 1.0 m/s, include following options in your da_run_suite_wrapper_con200.ksh script and run it..
!
+&wrfvar15
+num_pseudo = 1,
+pseudo_x = 23.0
+pseudo_y = 2!
3.0
+pse
udo_z = 14.0
+pseudo_err = 1.0
+pseudo_val = 1.0
+/
+&wrfvar19
+pseudo_var = u (Note: pseudo_var can be u, v, t, p, q. If pseudo_var is q, then the reasonable values of pseudo_err and pseudo_val are 0.001)
+/
+A shot-cut is export SINGLE_OBS=true.
export NL_NUM_PSEUDO=1
-WRF-Var generates a single observation with a pre-specified innovation (Observation First Guess) value at a specified location, e.g., at (in terms of grid co-ordinate) 23x23, level 14 for U observation with error characteristics 1 m/s, innovation size = 1.0 m/s, include the following options in your da_run_suite_wrapper_con200.ksh script and run it. A short-cut is export SINGLE_OBS=true.
-export NL_NUM_PSEUDO=1 export NL_PSEUDO_VAR="u" #Can be "u v t p q" export NL_PSEUDO_X=23.0 export NL_PSEUDO_Y=23.0 export NL_PSEUDO_Z=14.0 export NL_PSEUDO_ERR=1.0 #Should be "1.0 1.0 1.0 1.0 0.001" export NL_PSEUDO_VAL=1.0 #Should be "1.0 1.0 1.0 1.0 0.001"
!
-Also set export runplot_psot=1.
+export NL_PSEUDO_VAR="u" #Can be "u v t p q"
+export NL_PSEUDO_X=23.0
+export NL_PSEUDO_Y=23.0
+export NL_PSEUDO_Z=14.0
+export NL_PSEUDO_ERR=1.0 #Should be "1.0 1.0 1.0 1.0 0.001"
+export NL_PSEUDO_VAL=1.0 #Should be "1.0 1.0 1.0 1.0 0.001"
+Also set export runplot_psot=1
Note: You may also like to change your RUN_DIR to generate output in separate directory. You may also notice that in this sample wrapper script for con200, all these parameters are already set but they are commented. So you need to just remove the undesired comments.
After you have run this new wrapper script successfully, look at various diagnostics files to understand the response of one single U observation almost at the middle of the domain. You can display the analysis increments as you did previously or run the same wrapper script by setting:
- export runplot_psot=2
-It will activate some standard NCL s!
cript residing in WRFDA/var/graphics/ncl and generate followin!
g three
files in your new $RUN_DIR/plotpsot directory.
-xy_psot1.pdf (XY cross-section) xz_psot1.pdf (XZ cross-section) yz_psot1.pdf (YZ cross-section)
-Note: You may like to repeat this exercise for other observations like temperature (t), pressure ps, specific humidity, etc.
+ export runplot_psot=2
+It will activate some standard NCL script residing in WRFDA/var/graphics/ncl and generate following three files in your new $RUN_DIR/plotpsot directory.
+xy_psot1.pdf --- XY cross-section
+xz_psot1.pdf --- XZ cross-section
+yz_psot1.pdf --- YZ cross-section
+
+Note: You may like to repeat this exercise for other observations like temperature (t), pressure ps, specific humidity q etc.
(b) Response of BE length scaling parameter:
-Run single observation test with following additional parameters
-export NL_LEN_SCALING1=0.5 # reduce length psi-scale by 50% export NL_LEN_SCALING2=0.5 # reduce length chi_u-scale by 50% export NL_LEN_SCA!
LING3=0.5 # reduce length T-scale by 50% export NL_LEN_SCALING4=0.5 # reduce length Q-scale by 50% export NL_LEN_SCALING5=0.5 # reduce length ps-scale by 50%
+Run single observation test with following additional parameters in record &wrfvar7 of namelist.input
+&wrfvar7
+len_scaling1 = 0.5, # reduce psi length scale by 50%
+len_scaling2 = 0.5, # reduce chi_u length scale by 50%
+len_scaling3 = 0.5, # reduce T length scale by 50%
+len_scaling4 = 0.5, # reduce q length scale by 50%
+len_scaling5 = 0.5, # reduce Ps length scale by 50%
+/
+
+export NL_LEN_SCALING1=0.5 # reduce length psi-scale by 50%
+export NL_LEN_SCALING2=0.5 # reduce length chi_u-scale by 50%
+export NL_LEN_SCALING3=0.5 # reduce length T-scale by 50%
+export NL_LEN_SCALING4=0.5 # reduce length Q-scale by 50%
+export NL_LEN_SCALING5=0.5 # reduce length ps-scale by 50%
Note: You may like to try the response of individual variable by setting one parameter at one time. See the spr!
ead of analysis increment.
(c) Response of changing BE varian!
ce:
-Ru
n single observation test with following additional parameters
-export NL_VAR_SCALING1=0.25 # reduce psi-variance by 75% export NL_VAR_SCALING2=0.25 # reduce chi_u-variance by 75% export NL_VAR_SCALING3=0.25 # reduce T-variance by 75% export NL_VAR_SCALING4=0.25 # reduce Q-variance by 75% export NL_VAR_SCALING5=0.25 # reduce ps-variance by 75%
+Run single observation test with following additional parameters in record &wrfvar7 of namelist.input
+&wrfvar7
+var_scaling1 = 0.25, # reduce psi variance by 75%
+var_scaling2 = 0.25, # reduce chi_u variance by 75%
+var_scaling3 = 0.25, # reduce T variance by 75%
+var_scaling4 = 0.25, # reduce q variance by 75%
+var_scaling5 = 0.25, # reduce Ps variance by 75%
+/
+
+export NL_VAR_SCALING1=0.25 # reduce psi-variance by 75%
+export NL_VAR_SCALING2=0.25 # reduce chi_u-variance by 75%
+export NL_VAR_SCALING3=0.25 # reduce T-variance by 75%
+export NL_VAR_SCALING4=0.25 # reduce Q-variance by 75%
+exp!
ort NL_VAR_SCALING5=0.25 # reduce ps-variance by 75%
Note: You may like to try the response of individual variable by setting one parameter at one time. See the magnitude of analysis increments.
(d) Response of convergence criteria:
Run con200 case with
+ &wrfvar6
+eps = 0.0001
+
+/
export NL_EPS=0.0001
-See rsl.out.0000.html and if the solution did not converge in 200 iterations which is the default value for minimization inner iterations loop, increase its limit by setting
-export NL_NTMAX=1000
+ See rsl.out.0000.html and if the solution did not converge in 200 iterations which is the default value for minimization inner iterations loop, increase its limit by setting
+ export NL_NTMAX=1000
You may like to compare various diagnostics with earlier run.
(e) Response of outer loop on minimization:
-Run con200 case with
-export NL_MAX_EXT_ITS=2
+ Run con200 case with
+&wrfvar6
+max_ext_its = 2
+/
+ export NL_MAX_EXT_ITS=2
With this !
setting outer loop for the minimization procedure will get a!
ctivated
. You may like to compare various diagnostics with earlier run.
Note: Maximum permissible value for MAX_EXT_ITS is 10
-(f) Response of suppressing a particular type of data in WRF-Var:
-Suppose if someone wants not to include SYNOP type of data. One way is that do not process it via obsproc by not including it in little_r. However, it can be suppressed in WRF-Var through namelist option by setting
-export NL_USE_SYNOPOBS=false
+(f) Response of suppressing a particular types of data in WRF-Var:
+The types of observations that WRF-Var gets to use actually depend on what is included in the observation file and the WRF-Var namelist settings. For example, if you have SYNOP data in the observation file, you can suppress its usage in WRF-Var by setting use_synopobs=false in record &wrfvar4 of namelist.input. It is OK if there is no SYNOP data in the observation file and use_synopobs=true.
+Turning on and off of certain types of observations are widely used for assess!
ing impact of observations on data assimilations.
+Note: It is important to go through the default use_* settings in record &wrfvar4 in WRFDA/Registry/Registry.wrfvar to know what observations are activated in default.
+ Suppose if someone wants not to include SYNOP type of data. One way is that do not process it via obsproc by not including it in little_r. However, it can be suppressed in WRF-Var through namelist option by setting
+ export NL_USE_SYNOPOBS=false
Note: grep use_ string in WRFDA/Registry.wrfvar to learn about all types of data used in WRF-Var.
Description of Namelist Variables
-The following is a description of WRF-Var namelist variables.
+WRF-Var namelist variables.
-Variable NamesDefault ValueDescription&wrfvar1
-write_incrementsfalse.TRUE.: causes analysis increment to be written to a file, which is useful for plotting the increments fields, especially for the SINGLE-OBS test.
- .FALSE.: no analysis_increme!
nts file will be written out.wrfvar_mem_model0Not usedv!
ar4d00
: 3D-Var mode; 1: 4D-Var modemulti_inc00: normal run; 1: multi-incremental runvar4d_coupling2Not usedglobalfalseNot usedprint_detail_airepfalseprint_detail_radarfalseprint_detail_radfalseprint_detail_xafalseprint_detail_xbfalseprint_detail_obsfalseprint_detail_f_obsfalseprint_detail_gradfalseprint_detail_regressionfalseprint_detail_spectralfalseprint_detail_testingfalseprint_detail_parallelfalseprint_detail_befalseprint_detail_timingfalsecheck_max_iv_printtrue&wrfvar2analysis_accu900Specify the accuracy of the time difference, in seconds, between the analysis time and the first guess time. calc_w_incrementfalse.TRUE.: the increment of the vertical velocity W will be diagnosed based on the increments of other fields. If there is information of the W from observations assimilated, such as the Radar radial velocity, the W increments are always computed, no matter CALC_W_INCREMENTS=.TRUE. or .!
FALSE.
+Variable NamesDefault ValueDescription&wrfvar1write_incrementsfalse.TRUE.: indicates to write out the analysis increment file, which is useful for plotting the increments fields, especially for the SINGLE-OBS test.
+ .FALSE.: no increment file:analysis_increments' written out.wrfvar_mem_model0Not usedvar4d00: 3D-Var mode; 1: 4D-Var modemulti_inc00: normal run; 1: multi-incremental runvar4d_coupling2Not usedglobalfalseNot usedprint_detail_airepfalseprint_detail_radarfalseprint_detail_radfalseprint_detail_xafalseprint_detail_xbfalseprint_detail_obsfalseprint_detail_f_obsfalseprint_detail_gradfalseprint_detail_regressionfalseprint_detail_spectralfalseprint_detail_testingfalseprint_detail_parallelfalseprint_detail_befalseprint_detail_timingfalsecheck_max_iv_printtrue&wrfvar2analysis_accu900Specify the accuracy of the time difference in seconds between the analysis tim!
e and the first guess time. calc_w_incrementfalse.TRUE.: !
the incr
ement of the vertical velocity W will be diagnosed based on the increments of other fields. If there is information of the W from observations assimilated, such as the Radar radial velocity, the W increments ar always computed, no matter CALC_W_INCREMENTS=.TRUE. or .FALSE.
.FALSE.: the increment of the vertical velocity W is zero if no W information assimilated.
-dt_cloud_modelfalsewrite_qcwfalsewrite_qrnfalsewrite_qcifalsewrite_qsnfalsewrite_qgrfalsewrite_filtered_obsfalse&wrfvar3fg_format1Indicates the first guess format: 1 = WRF; ( 2 = MM5; 3 = KMA, not tested)ob_format2Indicates the observation file format: 1 = BURF; 2 = ASCIInum_fgat_time11 = 3DVar, >1 apply FGAT and 4DVar&wrfvar4use_synopobstrue.TRUE.: assimilate any available SYNOP data.
-.FALSE.: do not assimilate the SYNOP data, even if provided in the OBS file.use_shipsobstrue.TRUE.: assimilate any available SHIPS data.
-.FALSE.: do not assimilate S!
HIPS data, even if provided in the OBS file.use_metarobstrue.TRUE.: assimilate any available METAR data.
-.FALSE.: do not assimilate METAR data, even if provided in the OBS file.use_soundobstrue.TRUE.: assimilate any available SOUND data.
-.FALSE.: do not assimilate SOUND data, even if provided in the OBS file.use_mtgirsobstrue.TRUE.: assimilate any available MTGIRS data.
-.FALSE.: do not assimilate MTGIRS data, even if provided in the OBS file.use_pilotobstrue.TRUE.: assimilate any available PILOT data.
-.FALSE.: do not assimilate PILOT data, even if provided in the OBS file.use_airepobstrue.TRUE.: assimilate any available AIREP data.
-.FALSE.: do not assimilate AIREP data, even if provided in the OBS file.use_geoamvobstrue.TRUE.: assimilate any available GEOAMV data.
-.FALSE.: do not assimilate GEOAMV data, even if provided in the OBS file.use_polaramvobstrue.TRUE.: assimilate any available POLARAMV data.
-.FALSE.: do not assimilate POLA!
RAMV data, even if provided in the OBS file.use_bogusobstru!
e.TRUE.
: assimilate any available BOGUS data.
-.FALSE.: do not assimilate BOGUS data, even if provided in the OBS file.use_buoyobstrue.TRUE.: assimilate any available BUOY data.
-.FALSE.: do not assimilate BUOY data, even if provided in the OBS file.use_profilerobstrue.TRUE.: assimilate any available PROFILER data.
-.FALSE.: do not assimilate PROFILER data, even if provided in the OBS file.use_satemobstrue.TRUE.: assimilate any available SATEM data.
-.FALSE.: do not assimilate SATEM data, even if provided in the OBS file.
-** Currently only the retrieved SATEM thickness data can be assimilateduse_gpsztdobsfalse.TRUE.: assimilate any available GPSZTD data.
-.FALSE.: do not assimilate GPSZTD data, even if provided in the OBS file.use_gpspwobstrue.TRUE.: assimilate any available GPSPW data.
-.FALSE.: do not assimilate GPSPW data, even if provided in the OBS file.use_gpsrefobstrue.TRUE.: assimilate any available GPSREF data.
-.FALSE.: do not assimilate GP!
SREF data, even if provided in the OBS file.use_ssmiretrievalobsfalse.TRUE.: assimilate the SSMI retrieval data (PW and surface wind speed) if any available.
+dt_cloud_modelfalsewrite_qcwfalsewrite_qrnfalsewrite_qcifalsewrite_qsnfalsewrite_qgrfalsewrite_filtered_obsfalse&wrfvar3fg_format1Indicates the first guess format: 1 = WRF; ( 2 = MM5; 3 = KMA, not tested)ob_format2Indicates the observation file format: 1 = BURF; 2 = ASCIInum_fgat_time11 = 3DVar, >1 apply to FGAT and 4DVar&wrfvar4use_synopobstrue.TRUE.: assimilate the SYNOP data if any available.
+.FALSE.: not assimilate the SYNOP data even if available from OBS file.use_shipsobstrue.TRUE.: assimilate the SHIPS data if any available.
+.FALSE.: not assimilate the SHIPS data even if available from OBS file.use_metarobstrue.TRUE.: assimilate the METAR data if any available.
+.FALSE.: not assimilate the METAR data even if available from OBS file.!
use_soundobstrue.TRUE.: assimilate the SOUND data if any av!
ailable.
+.FALSE.: not assimilate the SOUND data even if available from OBS file.use_mtgirsobstrue.TRUE.: assimilate the MTGIRS data if any available.
+.FALSE.: not assimilate the MTGIRS data even if available from OBS file.use_pilotobstrue.TRUE.: assimilate the PILOT data if any available.
+.FALSE.: not assimilate the PILOT data even if available from OBS file.use_airepobstrue.TRUE.: assimilate the AIREP data if any available.
+.FALSE.: not assimilate the AIREP data even if available from OBS file.use_geoamvobstrue.TRUE.: assimilate the GEOAMV data if any available.
+.FALSE.: not assimilate the GEOAMV data even if available from OBS file.use_polaramvobstrue.TRUE.: assimilate the POLARAMV data if any available.
+.FALSE.: not assimilate the POLARAMV data even if available from OBS file.use_bogusobstrue.TRUE.: assimilate the BOGUS data if any available.
+.FALSE.: not assimilate the BOGUS data even if available from OBS file.use_buoyobstrue.TRUE.: ass!
imilate the BUOY data if any available.
+.FALSE.: not assimilate the BUOY data even if available from OBS file.use_profilerobstrue.TRUE.: assimilate the PROFILER data if any available.
+.FALSE.: not assimilate the PROFILER data even if available from OBS file.use_satemobstrue.TRUE.: assimilate the SATEM data if any available.
+.FALSE.: not assimilate the SATEM data even if available from OBS file.
+** Currently only the retrieved SATEM thickness data can be assimilateduse_gpsztdobsfalse.TRUE.: assimilate the GPSZTD data if any available.
+.FALSE.: not assimilate the GPSZTD data even if available from OBS file.use_gpspwobstrue.TRUE.: assimilate the GPSPW data if any available.
+.FALSE.: not assimilate the GPSPW data even if available from OBS file.use_gpsrefobstrue.TRUE.: assimilate the GPSREF data if any available.
+.FALSE.: not assimilate the GPSREF data even if available from OBS file.use_ssmiretrievalobsfalse.TRUE.: assimilate the SSMI retri!
eval data (PW and surface wind speed) if any available.
.FALS!
E.: not
assimilate the SSMI retrieval data (PW and surface wind
-speed) even if available from OBS file.use_ssmitbobsfalse.TRUE.: assimilate any available SSMI Brightness temperature data.
-.FALSE.: do not assimilate SSMI Brightness temperature data, even if provided in the OBS file.use_ssmt1obsfalse.TRUE.: assimilate any available SSMT1 (temperature) data.
-.FALSE.: do not assimilate SSMT1 (temperature) data, even if provided in the OBS file.use_ssmt2obsfalse.TRUE.: assimilate any available SSMT2 (relative humidity) data.
-.FALSE.: do not assimilate SSMT2 (relative humidity) data, even if provided in the OBS file.use_qscatobstrue.TRUE.: assimilate any available Quik SCAT (SeaWinds) data.
-.FALSE.: do not assimilate Quik SCAT (SeaWinds) data, even if provided in the OBS file.
+speed) even if available from OBS file.use_ssmitbobsfalse.TRUE.: assimilate the SSMI Brightness temperature data if any available.
+.FALSE.: not assimilate the SSMI Brightness temperat!
ure data even if available from OBS file.
+use_ssmt1obsfalse.TRUE.: assimilate the SSMT1 (temperature) data if any available.
+.FALSE.: not assimilate the SSMT1 (temperature) data even if available
+from OBS file.use_ssmt2obsfalse.TRUE.: assimilate the SSMT2 (relative humidity) data if any available.
+.FALSE.: not assimilate the SSMT2 (relative humidity) data even if available from OBS file.
+use_qscatobstrue.TRUE.: assimilate the Quik SCAT (SeaWinds) data if any available.
+.FALSE.: not assimilate the Quik SCAT (SeaWinds) data even if available
** Note at this moment, assimilation of only the SeaWinds Level 2B data from JPL.
-use_radarobsfalse.TRUE.: assimilate any available RADAR data.
-.FALSE.: do not assimilate RADAR data, even if provided in the OBS file.use_radar_rvfalseuse_hirs2obsfasleuse_hirs3obsfalseuse_hirs4obsfalseuse_mhsobsfalseuse_msuobsfalseuse_amsuaobsfalseuse_amsubobsfalseuse_airsobsfalseuse_airsret!
obstrueuse_eos_amsuaobsfalseuse_eos_radobsfalseu!
se_hsbob
sfalseuse_ssmisobsfalseuse_kma1dvarfalseuse_filtered_radfalseuse_obs_errfacfalse.TRUE.: apply OBS error tuning factors.
-.FALSE.: do not apply the OBS error tuning factors.
-** Currently, always set use_obs_errfac =.FALSE.
+use_radarobsfalse.TRUE.: assimilate the RADAR data if any available.
+.FALSE.: not assimilate the RADAR data even if available from OBS file.
+use_radar_rvfalseuse_hirs2obsfasleuse_hirs3obsfalseuse_hirs4obsfalseuse_mhsobsfalseuse_msuobsfalseuse_amsuaobsfalseuse_amsubobsfalseuse_airsobsfalseuse_airsretobstrueuse_eos_amsuaobsfalseuse_eos_radobsfalseuse_hsbobsfalseuse_ssmisobsfalseuse_kma1dvarfalseuse_filtered_radfalseuse_obs_errfacfalse.TRUE.: the OBS error tuning factors need to be applied.
+.FALSE.: no the OBS error tuning factors need to be applied. At this moment, always set use_obs_errfac =.FALSE., not change.
&wrfvar5
-check_max_ivtrue.TRUE.: G!
o through the Maximum OBS error check based on the innovations (O-B). For safety, in general, it should set to .TRUE.
-.FALSE.: no Maximum OBS error check. Set to .FALSE. only when you sure that all of the observation data are of good quality, such as in the SINGLE-OBS tests, you can set check_max_iv = .FALSE.
-put_rand_seedfalseset put_rand_seed = .FALSE., do not changeomb_set_randfalseset omb_set_rand = .FALSE., do not change omb_add_noisefalseset omb_add_noise = .FALSE., do not change.position_lev_dependantfalseobs_qc_pointer0Indicates the quality flag (qc) criterion, integer number, default is 0:
+check_max_ivtrue.TRUE.: Go through the Maximum OBS error check based on the innovations (O-B). For safety, in general, it should set check_max_iv = .TRUE.
+.FALSE.: no Maximum OBS error check. Only when you sure that all of the observation data have the good quality, such as in the SINGLE-OBS tests, you can set check_max_iv = .FALSE.
+put_rand_seed!
falseset put_rand_seed = .FALSE., not changeomb_set_randfa!
lseset
omb_set_rand = .FALSE., not change omb_add_noisefalseset omb_add_noise = .FALSE., not change.position_lev_dependantfalseobs_qc_pointer0Indicates the quality flag (qc) criterion, integer number, default is 0:
the data with qc >= obs_qc_pointer are assimilated.
-the data with qc < obs_qc_pointer are discarded.max_sound_input5000max_mtgirs_input50000max_synop_input50000max_geoamv_input300000max_polaramv_input300000max_airep_input200000max_satem_input50000max_pilot_input30000max_radar_input10000max_metar_input30000max_gpspw_input4000max_ships_input20000max_profiler_input30000max_bogus_input5000max_buoy_input30000max_ssmi_rv_input30000max_ssmi_tb_input30000max_ssmt1_input30000max_ssmt2_input30000max_qscat_input50000max_gpsref_input800000max_airsr_input100000max_tovs_input10000000max_ssmis_input10000000report_start1report_end10000000tovs_start1tovs_end!
10000000&wrfvar6max_ext_its1Used to assign the number of the outer loops. For example, 1 = a single outer loop, 3 = 3 outer loops, etc.,
-Currently, the maximum
-number of outer loops is 10.ntmax200The maximum number of iterations of the minimization in internal loopnsave4Not usedwrite_interval5Not usedeps
+the data with qc < obs_qc_pointer are discarded.max_sound_input5000max_mtgirs_input50000max_synop_input50000max_geoamv_input300000max_polaramv_input300000max_airep_input200000max_satem_input50000max_pilot_input30000max_radar_input10000max_metar_input30000max_gpspw_input4000max_ships_input20000max_profiler_input30000max_bogus_input5000max_buoy_input30000max_ssmi_rv_input30000max_ssmi_tb_input30000max_ssmt1_input30000max_ssmt2_input30000max_qscat_input50000max_gpsref_input800000max_airsr_input100000max_tovs_input10000000max_ssmis_input10000000repo!
rt_start1report_end10000000tovs_start1tovs_end100!
00000
&wrfvar6max_ext_its1Used to assign the number of the outer loops. For example, 1 = a single outer loop, 3 = 3 outer loops, etc., now the maximum
+number of outer loops is allowed to be 10.ntmax200The maximum number of iterations of the minimization in internal loopnsave4Not usedwrite_interval5Not usedeps
0.01 (max_ext_its)Used to assign the minimization convergence criterion for the internal loop
-within each of the outer loops.precondition_cgfalseprecondition_factor1.0&wrfvar7rf_passes6Used to assign the number of passes of recursive filter.var_scaling11.0The background error variance tuning factor for control variable 1 --- stream function PSI.var_scaling21.0The background error variance tuning factor for control variable 2 --- potential velocity CHI.var_scaling31.0The background error variance tuning factor for control variable 3 --- unbalanced pressure Pu.var_scaling41.0The background error variance tuning factor!
for control variable 4 --- specific humidity q or relative humidity RH.var_scaling51.0Not used currentlylen_scaling11.0The scale-length (used in the recursive filter) tuning factor for control variable 1 --- Stream function PSI.len_scaling21.0The scale-length (used in the recursive filter) tuning factor for control variable 2 --- potential velocity CHI.len_scaling31.0The scale-length (used in the recursive filter) tuning factor for control variable 3 --- unbalanced pressure Pu.len_scaling41.0The scale-length (used in the recursive filter) tuning factor for control variable 4 --- specific humidity q or relative humidity RH.len_scaling51.0Not used currentlyjb_factor1.0je_factor1.0power_truncation1.0&wrfvar8def_sub_domainfalsex_start_sub_domain1.0y_start_sub_domain1.0x_end_sub_domain1.0e10y_end_sub_domain1.0e10&wrfvar9stdout6stderr0trace_unit7trace_pe0trace_repeat_head10trace_repeat_bo!
dy10trace_max_depth30trace_usetruetrace_use_freque!
ntfalse
trace_use_dullfalsetrace_memorytruetrace_all_pesfalsetrace_csvtrueuse_htmltruewarnings_are_fatalfalse&wrfvar10test_transformsfalse.TRUE.: Do the VToX transform correctness check. Here V represents the control variables, X represents the analyzed variables. VToX means the transform formulas and their adjoint. When you change the V or X, you must do the VToX check first to guarantee the correctness. Program stopped after check finished.
-.FALSE. Do not do adjoint check, but do the data assimilation.test_statisticsfalseinterpolate_statstrueNot usedtest_dm_exactfalse&wrfvar11cv_options_hum11 --> Use the specific humidity q as the control variable.
+within each of the outer loops.precondition_cgfalseprecondition_factor1.0&wrfvar7rf_passes6Used to assign the number of passes of recursive filter.var_scaling11.0The background error variance tuning factor for control variable 1 --- stream function PS!
I.var_scaling21.0The background error variance tuning factor for control variable 2 --- potential velocity CHI.var_scaling31.0The background error variance tuning factor for control variable 3 --- unbalanced pressure Pu.var_scaling41.0The background error variance tuning factor for control variable 4 --- specific humidity q or relative humidity RH.var_scaling51.0Not used currentlylen_scaling11.0The scale-length (used in the recursive filter) tuning factor for control variable 1 --- Stream function PSI.len_scaling21.0The scale-length (used in the recursive filter) tuning factor for control variable 2 --- potential velocity CHI.len_scaling31.0The scale-length (used in the recursive filter) tuning factor for control variable 3 --- unbalanced pressure Pu.len_scaling41.0The scale-length (used in the recursive filter) tuning factor for control variable 4 --- specific humidity q or relative humidity RH.len_scaling51.0Not used currentlyjb_facto!
r1.0je_factor1.0power_truncation1.0&wrfvar8d!
ef_sub_d
omainfalsex_start_sub_domain1.0y_start_sub_domain1.0x_end_sub_domain1.0e10y_end_sub_domain1.0e10&wrfvar9stdout6stderr0trace_unit7trace_pe0trace_repeat_head10trace_repeat_body10trace_max_depth30trace_usetruetrace_use_frequentfalsetrace_use_dullfalsetrace_memorytruetrace_all_pesfalsetrace_csvtrueuse_htmltruewarnings_are_fatalfalse&wrfvar10test_transformsfalseTRUE.: Do the VToX transform correctness check. Here V represents the control variables, X represents the analyzed variables. VToX means the transform formulas and their adjoint. When you change the V or X, you must do the VToX check first to guarantee the correctness. Program stopped after check finished.
+.FALSE. Not do adjoint check, but do the data assimilation.test_statisticsfalseinterpolate_statstrueNot usedtest_dm_exactfalse&wrfvar11cv_options_hum11 --> Use the specific humidity q as the contro!
l variable.
2 --> Use the relative humidity RH as the control variable.check_rh20 --> No supersaturation check after minimization.
-1 --> With the supersaturation (rh>100%) and minimum rh (rh<10%) check, and make the local adjustment of the specific humidity.
+1 --> With the supersaturation (rh>100%) and minimum rh (rh<10%) check, and make the local adjustment of thespecific humidity.
2 --> With the maximum (rh>95%) and minimum (rh<11%) rh check, and make the multi-level q adjustment under the constraints of integrated water vapor in column conserved.set_omb_rand_fac1.0Scaling factor for random O-B (*sigma_o). Not change.seed_array10The first element of the seed for subroutine random_seed. Not change.seed_array2 0The second element of the seed for subroutine random_seed. Not change.sfc_assi_options11 --> Before the minimization, the surface observed parameters (wind, temperature, moisture and pressure) are reduced to!
the lowest model level. This means that the original observat!
ions are
modified based on the information of the first guess fields. The observations are discarded when the elevations of the observing sites are too far from the lowest model level height (> 100m).
2 --> Based on the surface similarity theory in PBL, some of the observation operators (Hx) are developed to get the analysis equivalent of the surface observed parameters, then the innovations are computed.
The original values of the surface observation are never changed. Regardless of the elevations of the observing sites, the analysis 10-m wind and 2-m temperature, moisture are computed. Only the analysis pressure computation need to consider the station heights.calculate_cg_cost_fnfalse.TRUE.: Compute the cost functions every iteration and output.
@@ -404,18 +815,26 @@
1=SQRT(pressure),
2=pressurevert_evalue11 --> use the global eigenvector/eigenvalue. Now program hardwired vert_evalue = 1, other values will stop the job. Not change it.
2 --> use the I-dependent eigenvector/eigenvalue.
-Note: Although the I-dependent (approximately latitude-dependent) eigenvector and eigenvalue are available in BE file, the GLOBAL eigenvector/eigenvalue gave smoother analysis results.max_vert_var199.0Specify the maximum truncation value (percentage) to explain the variance of the control variable 1 -- Stream function, in eigenvector decompositionmax_vert_var299.0Specify the maximum truncation value (percentage) to explain the variance of the control variable 2 -- Potential velocity, in eigenvector decompositionmax_vert_var399.0Specify the maximum truncation value (percentage) to explain the variance of the control variable 3 -- Unbalanced part of pressure, in eigenvector decompositionmax_vert_var499.0Specify the maximum trunca!
tion value (percentage) to explain the variance of the control variable 4 -- Specify humidity or relative humidity, in eigenvector decompositionmax_vert_var599.0Not used&wrfvar14rtminit_print0no longwave radiationrtminit_nsensor1rrtm schemertminit_platform3CAM schemertminit_satid99GFDL (Eta) longwave (semi-supported)rtminit_sensorshortwave radiation optionrad_monitoring0no shortwave radiationthinning_mesh1Dudhia schemethinning_mesh2Goddard short waveread_biascoef3CAM schemebiascorr99GFDL (Eta) longwave (semi-supported)biasprep30minutes between radiation physics calls. Recommend 1 minute per km of dx (e.g. 10 for 10 km grid); use the same value for all nestswrite_profile1CO2 transmission function flag for GFDL radiation only. Set it to 1 for ARW, which allows generation of CO2 function internallywrite_jacobian21600CAM clear sky longwave absorption calculation frequency (recommended minimum value to speed !
scheme up)qc_rad59for CAM radiation input ozone levelswr!
ite_iv_r
ad_ascii29for CAM radiation input aerosol levelswrite_oa_rad_ascii4for CAM absorption save arraywrite_filtered_radsame as e_vertfor CAM 2nd absorption save arrayuse_error_factor_radsurface-layer option use_landem0no surface-layermw_emis_sea1Monin-Obukhov schemetovs_min_transfer2Monin-Obukhov (Janjic Eta) schemetovs_batch3NCEP GFS scheme (NMM only)tovs_batch7Pleim-Xu (ARW only), only tested with Pleim-Xu surface and ACM2 PBLrtm_optionland-surface option (set before running real; also set correct num_soil_layers)use_crtm_kmatrix0no surface temp predictionuse_crtm_kmatrix_fast1thermal diffusion schemecrtm_cloud2unified Noah land-surface modelonly_sea_rad3RUC land-surface modeluse_simulated_rad7Pleim-Xu scheme (ARW only)use_pseudo_radboundary-layer optionpseudo_rad_platid0no boundary-layer pseudo_rad_satid1YSU schemepseudo_rad_senid2Mellor-Yamada-Janjic (Eta) TKE schemepseudo_rad_ichan3NCEP GFS sche!
me (NMM only)pseudo_rad_lat7ACM2 (Pleim) schemepseudo_rad_lon99MRF scheme (to be removed)pseudo_rad_err0minutes between boundary-layer physics calls. 0 = call every time stepspccoeff_filecumulus optiontaucoeff_file0no cumulusaerosolcoeff_file1Kain-Fritsch (new Eta) schemecloudcoeff_file2Betts-Miller-Janjic schemeemiscoeff_file3Grell-Devenyi ensemble schemeuse_varbc4Simplied Arakawa-Schubert (NMM only)freeze_varbc5New Grell scheme (G3)varbc_factor99previous Kain-Fritsch schemeuse_airs_mmr0minutes between cumulus physics calls.
-0 = call every time stepairs_warmest_fov1heat and moisture fluxes from the surface (only works for sf_sfclay_physics = 1)
-1 = with fluxes from the surface
-0 = no flux from the surfacecrtm_atmosphere0snow-cover effects (only works for sf_surface_physics = 1)
-1 = with snow-cover effect
-0 = without snow-cover effect&wrfvar151cloud effect to the optical depth in radiation (only works!
for ra_sw_physics = 1 and ra_lw_physics = 1)
-1 = with cloud!
effect
-0 = without cloud effectnum_pseudo1.Scattering tuning parameter (default 1 is 1.e-5 m2/kg)pseudo_x1,2where landuse and soil category data come from:
-1 = WPS/geogrid;
-2 = GRIB data from another model (only if arrays VEGCAT/SOILCAT exist)pseudo_y number of soil layers in land surface model (set in real)pseudo_z5thermal diffusion scheme for temp onlypseudo_val4Noah land-surface modelpseudo_err6RUC land-surface model&wrfvar162Pleim-Xu land-surface modelalphacv_method1PX LSM soil moisture initialization option
-0: from analysis
-1: from LANDUSE.TBL (SLMO)ensdim_alpha0activate urban canopy model (in Noah LSM only) (0=no, 1=yes)alpha_truncation1Grell-Devenyi onlyalpha_corr_type3G-D onlyalpha_corr_scale3G-D onlyalpha_std_dev16 G-D only&wrfvar17144 G-D only. These are recommended numbers. If you would like to use any other number, consult the code, know what you are doing.analysis_type271.tsk < seaice_thresh!
old, if water point and 5-layer slab scheme, set to land point and permanent ice; if water point and Noah scheme, set to land point, permanent ice, set temps from 3 m to surface, and set smois and sh2o&wrfvar18option to use time-varying SST, seaice, vegetation fraction, and albedo during a model simulation (set before running real)analysis_date0no SST update &wrfvar191real.exe will create wrflowinp_d01 file at the same time interval as the available input data. To use it in wrf.exe, add auxinput4_inname = "wrflowinp_d<domain>", auxinput4_interval in namelist section &time_controlpseudo_var.false.whether to use monthly albedo map instead of LANDUSE.TBL values. Recommended for sst_update = 1&wrfvar200slope effects for ra_sw_physics=1 (1=on, 0=off)documentation_url0neighboring-point shadow effects for ra_sw_physics=1 (1=on, 0=off)&wrfvar2125000.max shadow length in meters for topo_shading = 1time_window_min0!
simple ocean mixed layer model. (1=on, 0=off)&wrfvar22!
time_
window_max50.initial ocean mixed layer depth (m), constant everywhere&wrfvar230.14lapse rate in deep water for oml (K m-1)jcdfi_use0alternative Ck, Cd for tropical storm application. (1=on, 0=off)jcdfi_iojcdfi_taucfor grid and obs nudgingjcdfi_gamajcdfi_error_wind1grid-nudging on (=0 off) for each domainjcdfi_error_twrffdda_d<domain>Defined name in realjcdfi_error_q360Time interval (min) between analysis timesjcdfi_error_mu6Time (h) to stop nudging after start of forecast
+Note: Although the I-dependent (approximately latitude-dependent) eigenvector and eigenvalue are available in BE file, the GLOBAL eigenvector/eigenvalue gave smoother analysis results.max_vert_var199.0Specify the maximum truncation value (percentage) to explain the variance of the control variable 1 -- Stream function, in eigenvector decompositionmax_vert_var299.0Specify the maximum truncation value (percentage) to explain the variance of !
the control variable 2 -- Potential velocity, in eigenvector decompositionmax_vert_var399.0Specify the maximum truncation value (percentage) to explain the variance of the control variable 3 -- Unbalanced part of pressure, in eigenvector decompositionmax_vert_var499.0Specify the maximum truncation value (percentage) to explain the variance of the control variable 4 -- Specify humidity or relative humidity, in eigenvector decompositionmax_vert_var599.0Not used&wrfvar14rtminit_print1rtminit_nsensor1rtminit_platform-1 (max_instruments)rtminit_satid-1.0 (max_instruments)rtminit_sensor-1.0 (max_instruments)rad_monitoring0 (max_instruments)thinning_mesh60.0 (max_instruments)thinning_meshfalseread_biascoeftruebiascorrfalsebiasprepfalsewrite_profilefalsewrite_jacobianfalseqc_radtruewrite_iv_rad_asciifalsewrite_oa_rad_asciifalsewrite_filtered_radfalseuse_error_factor_radfalseuse_landemfalse!
mw_emis_sea1tovs_min_transfer10tovs_batchfalser!
tm_optio
n1use_crtm_kmatrixfalseuse_crtm_kmatrix_fastfalsecrtm_cloudfalseonly_sea_radfalseuse_simulated_radfalseuse_pseudo_radfalsepseudo_rad_platid1pseudo_rad_satid16pseudo_rad_senid3pseudo_rad_ichan6pseudo_rad_lat35.0pseudo_rad_lon130.0pseudo_rad_tb258.0pseudo_rad_err1.0spccoeff_fileCRTM_SpcCoeff.bintaucoeff_fileCRTM_TauCoeff.binaerosolcoeff_fileCRTM_AerosolCoeff.bincloudcoeff_fileCRTM_CldCoeff.binemiscoeff_fileCRTM_EmisCoeff.binuse_varbcfalsefreeze_varbcfalsevarbc_factor1.0use_airs_mmrfalseairs_warmest_fovfalsecrtm_atmosphere0&wrfvar15num_pseudo0Set the number of pseudo observations. Currently only the value of 1 is allowed, i.e. num_pseudo = 1 --- the SINGLE-OBS testpseudo_x1.0Set the x-position (J) of the OBS in unit of grid-point.pseudo_y1.0Set the y-position (I) of the OBS in unit of grid-point.pseudo_z1.0Set the z-position (ZK) of OBS with the vertical l!
evel index.pseudo_val1.0Set the innovation of the OBS variable: u/v at m/s, p at Pa, t at degree, q at kg/kg.pseudo_err1.0Set the OBS error of the OBS variable.&wrfvar16alphacv_method1ensdim_alpha0alpha_truncation1alpha_corr_type3alpha_corr_scale3alpha_std_dev16 &wrfvar17analysis_type3D-VARIndicates the job type, now only '3D-VAR', not change.&wrfvar18analysis_date2002-08-03_00:00:00.0000Specify the analysis time.&wrfvar19pseudo_vartSet the name of the OBS variable:
+'u' = X-direction component of wind,
+'v' = Y-direction component of wind,
+'t' = Temperature,
+'p' = Prerssure,
+'q' = Specific humidity&wrfvar20documentation_urlhttp://www.mmm.ucar.edu/people/wrfhelp/wrfvar/code/trunk&wrfvar21time_window_min"2002-08-02_21:00:00.0000"&wrfvar22time_window_max"2002-08-03_03:00:00.0000"&wrfvar23jcdfi_usefalse.True.: Include JcDF term in cost func!
tion.
+.False.: Ignore JcDF term in cost function.jcdfi_iof!
alse.Tr
ue.: Read JcDF output from WRF+. Even jcdfi_use= false. Used for diagnosis.
+.False.: Ignore the JcDF output from WRF+jcdfi_tauc10800Filter time window second.jcdfi_gama1.0Scaling number used to tune the weight of JcDF termjcdfi_error_wind3.0Error for Wind (m/s) used in JcDFjcdfi_error_t1.0Error for Temperature (k) used in JcDFjcdfi_error_q0.001Error for Specific Humidity (kg/kg) used in JcDFjcdfi_error_mu1000.Error for MU (Pa) used in JcDF
+OBSPROC namelist variables.
+Variable NamesDescription&record1obs_gts_filenamename and path of decoded observation filefg_format'MM5' for MM5 application, 'WRF' for WRF applicationobserr.txtname and path of observational error filefirst_guess_filename and path of the first guess file&record2time_window_minBeginning of time window (included) as ccyy-mm-dd_hh:mn:sstime_analysisAnanlysis time as ccyy-mm-dd_hh:mn:sstime_window_maxEnd of time window (included) as ccyy-mm-dd_hh:mn:s!
s
+** Note : Only observations between [time_window_min, time_window_max] will kept.&record3max_number_of_obsMaximum number of observations to be loaded, ie in domain and time window, this is independent of the number of obs actually read.fatal_if_exceed_max_obs.TRUE.: will stop when more than max_number_of_obs are loaded
+.FALSE.: will process the first max_number_of_obs loaded observations. &record4qc_test_vert_consistency.TRUE. will perform a vertical consistency quality control check on soundingqc_test_convective_adj.TRUE. will perform a convective adjustment quality control check on soundingqc_test_above_lid.TRUE. will flag the observation above model lidremove_above_lid.TRUE. will remove the observation above model liddomain_check_h.TRUE. will discard the observations outside the domainThining_SATOB.FALSE.: no thinning for SATOB data.
+.TRUE.: thinning procedure applied to SATOB data.Thining_SSMI.FALSE.: no thinning for SSMI dat!
a.
+.TRUE.: thinning procedure applied to SSMI data.Thining_!
QSCAT.F
ALSE.: no thinning for SATOB data.
+.TRUE.: thinning procedure applied to SSMI data.&record5print_gts_readTRUE. will write diagnostic on the decoded obs reading in file obs_gts_read.diagprint_gpspw_read.TRUE. will write diagnostic on the gpsppw obs reading in file obs_gpspw_read.diagprint_recoverp.TRUE. will write diagnostic on the obs pressure recovery in file obs_recover_pressure.diagprint_duplicate_loc.TRUE. will write diagnostic on space duplicate removal in file obs_duplicate_loc.diagprint_duplicate_time.TRUE. will write diagnostic on time duplicate removal in file obs_duplicate_time.diagprint_recoverh.TRUE will write diagnostic on the obs height recovery in file obs_recover_height.diagprint_qc_vert.TRUE will write diagnostic on the vertical consistency check in file obs_qc1.diagprint_qc_conv.TRUE will write diagnostic on the convective adjustment check in file obs_qc1.diagprint_qc_lid.TRUE. will write diagnostic on the above model lid!
height check in file obs_qc2.diagprint_uncomplete.TRUE. will write diagnostic on the uncompleted obs removal in file obs_uncomplete.diaguser_defined_area.TRUE.: read in the record6: x_left, x_right, y_top, y_bottom,
+.FALSE.: not read in the record6.&record6x_leftWest border of sub-domain, not usedx_rightEast border of sub-domain, not usedy_bottomSouth border of sub-domain, not usedy_topNorth border of sub-domain, not usedptopReference pressure at model topps0Reference sea level pressurebase_presSame as ps0. User must set either ps0 or base_pres.ts0Mean sea level temperaturebase_tempSame as ts0. User must set either ts0 or base_temp.tlpTemperature lapse ratebase_lapseSame as tlp. User must set either tlp or base_lapse.pis0Tropopause pressure, the default = 20000.0 Pabase_tropo_presSame as pis0. User must set either pis0 or base_tropo_prestis0Isothermal temperature above tropopause (K), the default = 215 K.base_start_t!
empSame as tis0. User must set either tis0 or base_start_temp!
.&
record7IPROJMap projection (0 = Cylindrical Equidistance, 1 = Lambert Conformal, 2 = Polar stereographic, 3 = Mercator)PHICCentral latitude of the domainXLONCCentral longitude of the domainTRUELAT1True latitude 1TRUELAT2True latitude 2MOAD_CEN_LATThe central latitude for the Mother Of All DomainsSTANDARD_LONThe standard longitude (Y-direction) of the working domain.&record8IDDDomain ID (1=< ID =< MAXNES), Only the observations geographically located on that domain will be processed. For WRF application with XLONC /= STANDARD_LON, set IDD=2, otherwise set 1.MAXNESMaximum numbe of domains as needed.NESTIXThe I(y)-direction dimension for each of the domainsNESTJXThe J(x)-direction dimension for each of the domainsDISThe grid size for each of the domains. For WRF application, always set NESTIX(1),NESTJX(1), and DIS(1) based on the infomation in wrfinput.NUMCThe mother domain ID number for each of the domainsNESTIThe I locati!
on in its mother domain of the nest domain's low left corner -- point (1,1)NESTIThe J location in its mother domain of the nest domain's low left corner -- point (1,1). For WRF application, NUMC(1), NESTI(1), and NESTJ(1) are always set to be 1.&record9prepbufr_output_filenameName of the prebufr OBS file.prepbufr_table_filename'prepbufr_table_filename' ; not changeoutput_ob_formatoutput 1, prebufr OBS file only;
+ 2, ASCII OBS file only;
+ 3, Both prebufr and ASCII OBS files.use_for'3DVAR' obs file, same as before, default
+'FGAT ' obs files for FGAT
+'4DVAR' obs files for 4DVARnum_slots_pastthe number of time slots before time_analysisnum_slots_aheadthe number of time slots after time_analysiswrite_synopIf keep synop obs in obs_gts (ASCII) files.write_shipIf keep ship obs in obs_gts (ASCII) files.write_metarIf keep metar obs in obs_gts (ASCII) files.write_buoyIf keep buoy obs in obs_gts (ASCII) files.write_pilot!
If keep pilot obs in obs_gts (ASCII) files.write_soundIf k!
eep soun
d obs in obs_gts (ASCII) files.write_amdarIf keep amdar obs in obs_gts (ASCII) files.write_satemIf keep satem obs in obs_gts (ASCII) files.write_satobIf keep satob obs in obs_gts (ASCII) files.write_airepIf keep airep obs in obs_gts (ASCII) files.write_gpspwIf keep gpspw obs in obs_gts (ASCII) files.write_gpsztdIf keep gpsztd obs in obs_gts (ASCII) files.write_gpsrefIf keep gpsref obs in obs_gts (ASCII) files.write_gpsephIf keep gpseph obs in obs_gts (ASCII) files.write_ssmt1If keep ssmt1 obs in obs_gts (ASCII) files.write_ssmt2If keep ssmt2 obs in obs_gts (ASCII) files.write_ssmiIf keep ssmi obs in obs_gts (ASCII) files.write_tovsIf keep tovs obs in obs_gts (ASCII) files.write_qscatIf keep qscat obs in obs_gts (ASCII) files.write_proflIf keep profile obs in obs_gts (ASCII) files.write_bogusIf keep bogus obs in obs_gts (ASCII) files.write_airsIf keep airs obs in obs_gts (ASCII) files.
@@ -431,7 +850,7 @@
-WRF-ARW V3: Users Guide 6- PAGE 20
+WRF-ARW V3: Users Guide 6- PAGE 6
WRF-ARW V3: Users Guide 6- PAGE 1
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\ No newline at end of file
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