<p><b>kavulich@ucar.edu</b> 2015-01-12 11:26:34 -0700 (Mon, 12 Jan 2015)</p><p>Chapter 6:<br>
<br>
-Updated web URLS<br>
-Updated some RTTOV links and instructions for version 11<br>
</p><hr noshade><pre><font color="gray">Modified: trunk/wrf/UsersGuide/users_guide_chap6.doc
===================================================================
--- trunk/wrf/UsersGuide/users_guide_chap6.doc 2015-01-12 04:35:37 UTC (rev 523)
+++ trunk/wrf/UsersGuide/users_guide_chap6.doc 2015-01-12 18:26:34 UTC (rev 524)
@@ -1,5 +1,5 @@
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Chapter 6: WRF Data Assimilation
Table of Contents
HYPERLINK \l "_Introduction"Introduction
@@ -20,7 +20,7 @@
Introduction
Data assimilation is the technique by which observations are combined with an NWP product (the first guess or background forecast) and their respective error statistics to provide an improved estimate (the analysis) of the atmospheric (or oceanic, Jovian, etc.) state. Variational (Var) data assimilation achieves this through the iterative minimization of a prescribed cost (or penalty) function. Differences between the analysis and observations/first guess are penalized (damped) according to their perceived error. The difference between three-dimensional (3D-Var) and four-dimensional (4D-Var) data assimilation is the use of a numerical forecast model in the latter.
-The MMM Division of NCAR supports a unified (global/regional, multi-model, 3/4D-Var) model-space data assimilation system (WRFDA) for use by the NCAR staff and collaborators, and is also freely available to the general community, together with further documentation, test results, plans etc., from
the WRFDA web-page (HYPERLINK "http://www.mmm.ucar.edu/wrf/users/wrfda/index.html"http://www.mmm.ucar.edu/wrf/users/wrfda/index.html).
+The MMM Division of NCAR supports a unified (global/regional, multi-model, 3/4D-Var) model-space data assimilation system (WRFDA) for use by the NCAR staff and collaborators, and is also freely available to the general community, together with further documentation, test results, plans etc., from the WRFDA web-page (HYPERLINK "http://www.mmm.ucar.edu/wrf/users/wrfda/index.html"http://www2.mmm.ucar.edu/wrf/users/wrfda/index.html).
Various components of the WRFDA system are shown in blue in the sketch below, together with their relationship with the rest of the WRF system.
xb first guess, either from a previous WRF forecast or from WPS/real.exe output.
@@ -34,7 +34,7 @@
an observation file (which must be processed through OBSPROC),
a netCDF background file (WPS/real.exe output, the first guess of the analysis)
background error statistics (estimate of errors in the background file).
-This tutorial dataset can be downloaded from the WRFDA Users Page ( HYPERLINK "http://www.mmm.ucar.edu/wrf/users/wrfda/download/testdata.html"http://www.mmm.ucar.edu/wrf/users/wrfda/download/testdata.html), and will be described later in more detail. In your own work, however, you will have to create all these input files yourself. See the section HYPERLINK \l "_Running_Observation_Preprocessor_1"Running Observation Preprocessor for creating your observation files. See the section HYPERLINK \l "_Running_gen_be"Running gen_be for generating your background error statistics file, if you want to use cv_options=5 or cv_options=6.
+This tutorial dataset can be downloaded from the WRFDA Users Page ( HYPERLINK "http
://www.mmm.ucar.edu/wrf/users/wrfda/download/testdata.html"http://www2.mmm.ucar.edu/wrf/users/wrfda/download/testdata.html), and will be described later in more detail. In your own work, however, you will have to create all these input files yourself. See the section HYPERLINK \l "_Running_Observation_Preprocessor_1"Running Observation Preprocessor for creating your observation files. See the section HYPERLINK \l "_Running_gen_be"Running gen_be for generating your background error statistics file, if you want to use cv_options=5 or cv_options=6.
Before using your own data, we suggest that you start by running through the WRFDA- related programs 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 capable of running the entire modeling system. After you have done the tutorial, you can try running other, mo
re computationally intensive case studies, and experimenting with some of the many namelist variables.
WARNING: It is impossible to test every permutation of computer, compiler, number of processors, case, namelist option, etc. for every WRFDA release. The namelist options that are supported are indicated in the WRFDA/var/README.namelist, and these are the default options.
Hopefully, our test cases will prepare you for the variety of ways in which you may wish to run your own WRFDA experiments. Please inform us about your experiences.
@@ -49,7 +49,7 @@
Installing WRFDA for 3D-Var Run
Obtaining WRFDA Source Code
-Users can download the WRFDA source code from HYPERLINK "http://www.mmm.ucar.edu/wrf/users/wrfda/download/get_source.html"http://www.mmm.ucar.edu/wrf/users/wrfda/download/get_source.html.
+Users can download the WRFDA source code from HYPERLINK "http://www.mmm.ucar.edu/wrf/users/wrfda/download/get_source.html"http://www2.mmm.ucar.edu/wrf/users/wrfda/download/get_source.html.
Note: WRFDA compiles with the r8 (8-byte real numbers) option while WRF compiles withr4 (4-byte real numbers). For this reason, WRF and WRFDA cannot reside or be compiled in the same directory tree.
After the tar file is unzipped (gunzip WRFDAV3.6.TAR.gz) and untarred (tar -xf WRFDAV3.6.TAR), the directory WRFDA should be created. This directory contains the WRFDA source, external libraries, and fixed files. The following is a list of the system components and content for each subdirectory:
@@ -65,7 +65,7
@@
If satellite radiance data are to be used, a Radiative Transfer Model (RTM) is required. The current RTM versions that WRFDA supports are CRTM V2.1.3 and RTTOV V11.1/11.2.
The CRTM V2.1.3 source code is included in the WRFDA tar file. To compile the library, prior to compilation set the environment variable CRTM:
> setenv CRTM 1
-If the user wishes to use RTTOV, download and install the RTTOV v11 library before compiling WRFDA. This library can be downloaded from HYPERLINK "http://research.metoffice.gov.uk/research/interproj/nwpsaf/rtm" http://research.metoffice.gov.uk/research/interproj/nwpsaf/rtm. The RTTOV libraries must be compiled with the emis_atlas option in order to work with WRFDA; see the RTTOV readme.txt. After compiling RTTOV (see the RTTOV documentation for detailed instructions), set the RTTOV environment variable to the path where the lib directory resides. For example, if the library files can be found in /usr/local/rttov11/pgi/lib/
librttov11.*.a, you should set RTTOV as:
+If the user wishes to use RTTOV, download and install the RTTOV v11 library before compiling WRFDA. This library can be downloaded from HYPERLINK "http://nwpsaf.eu/deliverables/rtm/index.html" http://nwpsaf.eu/deliverables/rtm/index.html. The RTTOV libraries must be compiled with the emis_atlas option in order to work with WRFDA; see the RTTOV readme.txt for instructions on how to do this. After compiling RTTOV (see the RTTOV documentation for detailed instructions), set the RTTOV environment variable to the path where the lib directory resides. For example, if the library files can be found in /usr/local/rttov11/pgi/lib/librttov11.*.a, you should set RTTOV as:
> setenv RTTOV /usr/local/rttov11/pgi
Note: Make sure the required libraries were all compiled using the same compiler that will be used to build WRFDA, since the libraries produced by one compiler may not be compatible with code compiled with anoth
er.
@@ -196,7 +196,7 @@
Installing WRFPLUS and WRFDA for 4D-Var Run
If you intend to run WRF 4D-Var, it is necessary to have WRFPLUS installed. WRFPLUS contains the adjoint and tangent linear models based on a simplified WRF model, which includes a few simplified physics packages, such as surface drag, large scale condensation and precipitation, and cumulus parameterization.
To install WRFPLUS:
-Get the WRFPLUS zipped tar file from HYPERLINK "http://www.mmm.ucar.edu/wrf/users/wrfda/download/wrfplus.html"http://www.mmm.ucar.edu/wrf/users/wrfda/download/wrfplus.html
+Get the WRFPLUS zipped tar file from HYPERLINK "http://www.mmm.ucar.edu/wrf/users/wrfda/download/wrfplus.html"http://www2.mmm.ucar.edu/wrf/users/wrfda/download/wrfplus.html
Unzip and untar the WRFPLUS file, then run the configure script
> gunzip WRFPLUSV3.6_r7153.tar.gz
> tar -xf WRFPLUSV3.6_r7153.tar
@@ -222,7 +222,7 @@
You should see the same 44 executables as are listed in the above 3D-Var section, including da_wrfvar.exe
Running Observation Preprocessor (OBSPROC)
-The OBSPROC program reads observations in LITTLE_R format (a text-based format, in use since the MM5 era). We have provided observations for the tutorial case, but for your own applications, you will have to prepare your own observation files. Please see HYPERLINK "http://www.mmm.ucar.edu/wrf/users/wrfda/download/free_data.html" http://www.mmm.ucar.edu/wrf/users/wrfda/download/free_data.html for the sources of some freely-available observations. Because the raw observation data files have many possible formats, such as ASCII, BUFR, PREPBUFR, MADIS (note: a converter for MADIS data to LITTLE_R is available on the WRFDA website: HYPERLINK "http://www.mmm.ucar.edu/wrf/users/wrfda/download/madis.html" www.mmm.ucar.edu/wrf/users/wrfda/download/madis.html), and HDF, the free data site also contains inst
ructions for converting the observations to LITTLE_R format. To make the WRFDA system as general as possible, the LITTLE_R format was adopted as an intermediate observation data format for the WRFDA system, however, the conversion of the user-specific source data to LITTLE_R format is the users task. A more complete description of the LITTLE_R format, as well as conventional observation data sources for WRFDA, can be found by reading the Observation Pre-processing tutorial found at HYPERLINK "http://www.mmm.ucar.edu/wrf/users/wrfda/Tutorials/2012_July/tutorial_presentation_summer_2012.html" http://www.mmm.ucar.edu/wrf/users/wrfda/Tutorials/2012_July/tutorial_presentation_summer_2012.html, or by referencing HYPERLINK "http://www.mmm.ucar.edu/wrf/users/docs/user_guide_V3/users_guide_chap7.htm" \l "format" Chapter 7 of this Users Guide.
+The OBSPROC program reads observations in LITTLE_R format (a text-based format, in use since the M
M5 era). We have provided observations for the tutorial case, but for your own applications, you will have to prepare your own observation files. Please see HYPERLINK "http://www.mmm.ucar.edu/wrf/users/wrfda/download/free_data.html" http://www2.mmm.ucar.edu/wrf/users/wrfda/download/free_data.html for the sources of some freely-available observations. Because the raw observation data files have many possible formats, such as ASCII, BUFR, PREPBUFR, MADIS (note: a converter for MADIS data to LITTLE_R is available on the WRFDA website: HYPERLINK "http://www.mmm.ucar.edu/wrf/users/wrfda/download/madis.html" www2.mmm.ucar.edu/wrf/users/wrfda/download/madis.html), and HDF, the free data site also contains instructions for converting the observations to LITTLE_R format. To make the WRFDA system as general as possible, the LITTLE_R format was adopted as an intermediate observation data format for the WRFDA system, however, the conversion of the user-specif
ic source data to LITTLE_R format is the users task. A more complete description of the LITTLE_R format, as well as conventional observation data sources for WRFDA, can be found by reading the Observation Pre-processing tutorial found at HYPERLINK "http://www.mmm.ucar.edu/wrf/users/wrfda/Tutorials/2012_July/tutorial_presentation_summer_2012.html" http://www2.mmm.ucar.edu/wrf/users/wrfda/Tutorials/2012_July/tutorial_presentation_summer_2012.html, or by referencing HYPERLINK "http://www.mmm.ucar.edu/wrf/users/docs/user_guide_V3/users_guide_chap7.htm" \l "format" Chapter 7 of this Users Guide.
The purpose of OBSPROC is to:
Remove observations outside the specified temporal and spatial domains
Re-order and merge duplicate (in time and location) data reports
@@ -231,7 +231,7 @@
Assign observation errors based on a pre-specified error file
Write out the observation file to be used by WRFDA in ASCII or BUFR format
The OBSPROC program (obsproc.exe) should be found under the directory $WRFDA_DIR/var/obsproc/src if compile all_wrfvar completed successfully.
-If you havent already, you should download the tutorial case, which contains example files for all the exercises in this Users Guide. The case can be found at the WRFDA website ( HYPERLINK "http://www.mmm.ucar.edu/wrf/users/wrfda/download/testdata.html"http://www.mmm.ucar.edu/wrf/users/wrfda/download/testdata.html).
+If you havent already, you should download the tutorial case, which contains example files for all the exercises in this Users Guide. The case can be found at the WRFDA website ( HYPERLINK "http://www.mmm.ucar.edu/wrf/users/wrfda/download/testdata.html"http://www2.mmm.ucar.edu/wrf/users/wrfda/download/testdata.html).
a. Prepare observational data for
3D-Var
As an example, to prepare the observation file at the analysis time, all the observations in the range 1h will be processed, which means that (in the example case) the observations between 23h and 1h are treated as the observations at 0h. This is illustrated in the following figure:
@@ -268,7 +268,7 @@
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 WRFDA, you may find it useful to learn more about various types of data that will be processed (e.g., their geographical distribution). This file is in ASCII format and so you can easily view it. For a graphical view of the file's content, there are NCL scripts available which can display the distribution and type of observations. In the WRFDA Tools package (can be downloaded at HYPERLINK "http://www.mmm.ucar.edu/wrf/users/wrfda/download/tools.html"http://www.mmm.ucar.edu/wrf/users/wrfda/download/tools.html), the relevant script is located at $TOOLS_DIR/var/graphics/ncl/plot_ob_ascii_loc.ncl. You will need have NCL installed in your system to use this script; for more information on NCL, the NCAR Command Language, see HYPERLINK "http://www.ncl.ucar.edu/"http
://www.ncl.ucar.edu/.
+Before running WRFDA, you may find it useful to learn more about various types of data that will be processed (e.g., their geographical distribution). This file is in ASCII format and so you can easily view it. For a graphical view of the file's content, there are NCL scripts available which can display the distribution and type of observations. In the WRFDA Tools package (can be downloaded at HYPERLINK "http://www.mmm.ucar.edu/wrf/users/wrfda/download/tools.html"http://www2.mmm.ucar.edu/wrf/users/wrfda/download/tools.html), the relevant script is located at $TOOLS_DIR/var/graphics/ncl/plot_ob_ascii_loc.ncl. You will need have NCL installed in your system to use this script; for more information on NCL, the NCAR Command Language, see HYPERLINK "http://www.ncl.ucar.edu/"http://www.ncl.ucar.edu/.
b. Prepare observational data for 4D-Var
To prepare the observation file, for example, at the analysis time 0h for 4D-Var, all
observations from 0h to 6h will be processed and grouped in 7 sub-windows (slot1 through slot7) as illustrated in the following figure:
@@ -304,7 +304,7 @@
or generic CV3In the test case, you will store data in a directory defined by the environment variable $DAT_DIR. This directory can be in any location, and it should have read access. Type
> setenv DAT_DIR your_choice_of_dat_dir
Here, your_choice_of_dat_dir is the directory where the WRFDA input data is stored.
-If you have not already done so, download the example data for the tutorial case, valid at 12 UTC 5th February 2008, from HYPERLINK "http://www.mmm.ucar.edu/wrf/users/wrfda/download/testdata.html"http://www.mmm.ucar.edu/wrf/users/wrfda/download/testdata.html
+If you have not already done so, download the example data for the tutorial case, valid at 12 UTC 5th February 2008, from HYPERLINK "http://www.mmm.ucar.edu/wrf/users/wrfda/download/testdata.html"http://www2.mmm.ucar.edu/wrf/users/wrfda/download/testdata.html
Once you have downloaded the WRFDAV3.6-testdata.tar.gz file to $DAT_DIR, extract it by typing
> gunzip WRFDAV3
.6-testdata.tar.gz > tar -xvf WRFDAV3.6-testdata.tar
Now you should find the following four files under $DAT_DIR
@@ -672,7 +672,7 @@
> ln -sf $WRFDA_DIR/var/run/radiance_info ./radiance_info # (radiance_info is a directory)
> ln -sf $WRFDA_DIR/var/run/VARBC.in ./VARBC.in
(CRTM only) > ln -sf WRFDA/var/run/crtm_coeffs ./crtm_coeffs #(crtm_coeffs is a directory)
-(RTTOV only) > ln -sf your_RTTOV_path/rtcoef_rttov10/rttov7pred51L ./rttov_coeffs # (rttov_coeffs is a directory)
+(RTTOV only) > ln -sf your_RTTOV_path/rtcoef_rttov11/rttov7pred51L ./rttov_coeffs # (rttov_coeffs is a directory)
See the following sections for more details on each aspect of radiance assimilation.
@@ -687,7 +687,7 @@
NCEP BUFR file namesWRFDA naming conventiongdas1.t00z.airsev.tm00.bufr_dairs.bufrgdas1.t00z.1bamua.tm00.bufr_damsua.bufrgdas1.t00z.1bamub.tm00.bufr_damsub.bufrgdas1.t00z.atms.tm00.bufr_datms.bufrgdas1.t00z.1bhrs3.tm00.bufr_dhirs3.bufrgdas1.t00z.1bhrs4.tm00.bufr_dhirs4.bufrgdas1.t00z.mtiasi.tm00.bufr_diasi.bufrgdas1.t00z.1bmhs.tm00.bufr_dmhs.bufrgdas1.t00z.sevcsr.tm00.bufr_dseviri.bufr
Namelist parameters are used to control the reading of corresponding BUFR files into WRFDA. For instance, USE_AMSUAOBS, USE_AMSUBOBS, USE_HIRS3OBS, USE_HIRS4OBS, USE_MHSOBS, USE_AIRSOBS, USE_EOS_AMSUAOBS, USE_SSMISOBS, USE_ATMSOBS, USE_IASIOBS, and USE_SEVIRIOBS control whether or not the respective file is read. These are logical parameters that are assigned to .FALSE. by default; therefore they must be set to .TRUE. to read the respective observation file. Also note that these parameters only control whether the data is read, not whether the data included in the
files is to be assimilated. This is controlled by other namelist parameters explained in the next section.
-Sources for downloading these and other data can be found on the WRFDA website: HYPERLINK "http://www.mmm.ucar.edu/wrf/users/wrfda/download/free_data.html" http://www.mmm.ucar.edu/wrf/users/wrfda/download/free_data.html.
+Sources for downloading these and other data can be found on the WRFDA website: HYPERLINK "http://www.mmm.ucar.edu/wrf/users/wrfda/download/free_data.html" http://www2.mmm.ucar.edu/wrf/users/wrfda/download/free_data.html.
@@ -703,14 +703,13 @@
RTMINIT_SATID = 15, 16, 18, 19, 2, 2, 15, 16, 17, 18, 19, 2, 2, 16, 2
RTMINIT_SENSOR = 3, 3, 3, 3, 3, 3, 4, 4, 4, 15, 15, 15, 11, 10, 16,
-The instrument triplets (platform, satellite, and sensor ID) in the namelist can be ranked in any order. More detail about the convention of instrument triples can be found on the web page HYPERLINK "http://research.metoffice.gov.uk/research/interproj/nwpsaf/rtm/rttov_description.html"http://research.metoffice.gov.uk/research/interproj/nwpsaf/rtm/rttov_description.html
- HYPERLINK "http://research.metoffice.gov.uk/research/interproj/nwpsaf/rtm/rttov_description.html"or in tables 2 and 3 in the RTTOV v10 Users Guide ( HYPERLINK "http://research.metoffice.gov.uk/research/interproj/nwpsaf/rtm/docs_rttov10/users_guide_10_v1.5.pdf" research.metoffice.gov.uk/research/interproj/nwpsaf/rtm/docs_rttov10/users_guide_10_v1.5.pdf)
+The instrument triplets (platform, satellite, and sensor ID) in the na
melist can be ranked in any order. More detail about the convention of instrument triples can be found on the web page HYPERLINK "http://nwpsaf.eu/deliverables/rtm/rttov_description.html" http://nwpsaf.eu/deliverables/rtm/rttov_description.html HYPERLINK "http://research.metoffice.gov.uk/research/interproj/nwpsaf/rtm/rttov_description.html"or in tables 2 and 3 in the RTTOV v11 Users Guide ( HYPERLINK "http://nwpsaf.eu/deliverables/rtm/docs_rttov11/users_guide_11_v1.3.pdf" http://nwpsaf.eu/deliverables/rtm/docs_rttov11/users_guide_11_v1.3.pdf)
CRTM uses a different instrument-naming method, however, a conversion routine inside WRFDA is implemented such that the user interface remains the same for RTTOV and CRTM, using the same instrument triplet for both.
When running WRFDA with radiance assimilation switched on, a set of RTM coefficient files need to be loaded. For the RTTOV option, RTTOV coefficient files are to be copied or
linked to a sub-directory rttov_coeffs/ under the working directory. For the CRTM option, CRTM coefficient files are to be copied or linked to a sub-directory crtm_coeffs/ under the working directory. Only coefficients listed in the namelist are needed. Potentially WRFDA can assimilate all sensors as long as the corresponding coefficient files are provided. In addition, necessary developments on the corresponding data interface, quality control, and bias correction are important to make radiance data assimilate properly; however, a modular design of radiance relevant routines already facilitates the addition of more instruments in WRFDA.
-The RTTOV package is not distributed with WRFDA, due to licensing and supporting issues. Users need to follow the instructions at HYPERLINK "http://research.metoffice.gov.uk/research/interproj/nwpsaf/rtm"http://research.metoffice.gov.uk/research/interproj/nwpsaf/rtm to download the RTTOV source code and supplement coeffici
ent files and the emissivity atlas dataset. Only RTTOV v11 can be used in WRFDA, so if you have an older version you must upgrade.
+The RTTOV package is not distributed with WRFDA, due to licensing and supporting issues. Users need to follow the instructions at HYPERLINK "http://research.metoffice.gov.uk/research/interproj/nwpsaf/rtm"http://research.metoffice.gov.uk/research/interproj/nwpsaf/rtm to download the RTTOV source code and supplement coefficient files and the emissivity atlas dataset. Only RTTOV v11 can be used in WRFDA version 3.6.1, so if you have an older version you must upgrade.
As mentioned in a previous paragraph, the CRTM package is distributed with WRFDA, and is located in $WRFDA_DIR/var/external/crtm_2.1.3. The CRTM code in WRFDA is the same as the source code that users can download from HYPERLINK "ftp://ftp.emc.ncep.noaa.gov/jcsda/CRTM" ftp://ftp.emc.ncep.noaa.gov/jcsda/CRTM, with only minor modifications (mainly for eas
e of compilation).
@@ -863,7 +862,7 @@
(4) Radiance diagnostics plotting
-Two NCL scripts (available as part of the WRFDA Tools package, which can be downloaded at HYPERLINK "http://www.mmm.ucar.edu/wrf/users/wrfda/download/tools.html"http://www.mmm.ucar.edu/wrf/users/wrfda/download/tools.html) are used for plotting: $TOOLS_DIR/var/graphics/ncl/plot_rad_diags.ncl and $TOOLS_DIR/var/graphics/ncl/advance_cymdh.ncl. The NCL scripts can be run from a shell script, or run alone with an interactive ncl command (the NCL script and set the plot options must be edited, and the path of advance_cymdh.ncl, a date-advancing script loaded in the main NCL plotting script, may need to be modified).
+Two NCL scripts (available as part of the WRFDA Tools package, which can be downloaded at HYPERLINK "http://www.mmm.ucar.edu/wrf/users/wrfda/download/tools.html"http://www2.mmm.ucar.edu/wrf/users/wrfda/download/tools.html) are used for plotting: $TOOLS_DIR/var/graphics/ncl/plot_rad_diags.ncl and $TOO
LS_DIR/var/graphics/ncl/advance_cymdh.ncl. The NCL scripts can be run from a shell script, or run alone with an interactive ncl command (the NCL script and set the plot options must be edited, and the path of advance_cymdh.ncl, a date-advancing script loaded in the main NCL plotting script, may need to be modified).
Steps (3) and (4) can be done by running a single ksh script (also in the WRFDA Tools package: $TOOLS_DIR/var/scripts/da_rad_diags.ksh) with proper settings. In addition to the settings of directories and what instruments to plot, there are some useful plotting options, explained below.
@@ -893,7 +892,7 @@
WRFDA 4D-Var can assimilate NCEP Stage IV radar and gauge precipitation data. NCEP Stage IV archived data are available on the NCAR CODIAC web page at: HYPERLINK "http://data.eol.ucar.edu/codiac/dss/id=21.093"http://data.eol.ucar.edu/codiac/dss/id=21.093 (for more information, please see the NCEP Stage IV Q&A Web page at HYPERLINK "http://www.emc.ncep.noaa.gov/mmb/ylin/pcpanl/QandA/"http://www.emc.ncep.noaa.gov/mmb/ylin/pcpanl/QandA/). The original precipitation data are at 4-km resolution on a polar-stereographic grid. Hourly, 6-hourly and 24-hourly analyses are available. The following image shows the accumulated 6-h precipitation for the tutorial case.
-It should be mentioned that the NCEP Stage IV archived data is in GRIB1 format and it cannot be ingested into the WRFDA directly. A tool precip_converter is provided to reformat GRIB1 observations into the WRFDA-readable ASCII format. It can be downloaded from the WRFDA users page at
HYPERLINK "http://www.mmm.ucar.edu/wrf/users/wrfda/download/precip_converter.tar.gz" http://www.mmm.ucar.edu/wrf/users/wrfda/download/precip_converter.tar.gz. The NCEP GRIB libraries, w3 and g2 are required to compile the precip_converter utility. These libraries are available for download from NCEP at HYPERLINK "http://www.nco.ncep.noaa.gov/pmb/codes/GRIB2/" http://www.nco.ncep.noaa.gov/pmb/codes/GRIB2/. The output file to the precip_converter utility is named in the format ob.rain.yyyymmddhh.xxh; The 'yyyymmddhh' in the file name is the ending hour of the accumulation period, and 'xx' (=01,06 or 24) is the accumulating time period.
+It should be mentioned that the NCEP Stage IV archived data is in GRIB1 format and it cannot be ingested into the WRFDA directly. A tool precip_converter is provided to reformat GRIB1 observations into the WRFDA-readable ASCII format. It can be downloaded from the WRFDA users page at HYPERLINK "http://www.m
mm.ucar.edu/wrf/users/wrfda/download/precip_converter.tar.gz" http://www2.mmm.ucar.edu/wrf/users/wrfda/download/precip_converter.tar.gz. The NCEP GRIB libraries, w3 and g2 are required to compile the precip_converter utility. These libraries are available for download from NCEP at HYPERLINK "http://www.nco.ncep.noaa.gov/pmb/codes/GRIB2/" http://www.nco.ncep.noaa.gov/pmb/codes/GRIB2/. The output file to the precip_converter utility is named in the format ob.rain.yyyymmddhh.xxh; The 'yyyymmddhh' in the file name is the ending hour of the accumulation period, and 'xx' (=01,06 or 24) is the accumulating time period.
For users wishing to use their own observations instead of NCEP Stage IV, it is the users responsibility to write a Fortran main program and call subroutine writerainobs (in write_rainobs.f90) to generate their own precipitation data. For more information please refer to the README file in the precip_converter directory.
@@ -1055,7 +1054,7
@@
The inputs to gen_be are netCDF WRF forecast output ("wrfout") files at specified forecast ranges. To avoid unnecessary 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)-(T+12) forecast differences (default for regional) then by setting the WRF namelist.input options history_interval=720, and frames_per_outfile=1 we get the necessary output datasets. Then the forecast output files should be arranged as follows: directory name is the forecast initial time, time info in the file name is the forecast valid time. 2008020512/wrfout_d01_2008-02-06_00:00:00 means a 12-hour forecast valid at 2008020600, initialized at 2008020512.
-Example dataset for a test case (90 x 60 x 41 gridpoints) can be downloaded from HYPERLINK "http://www.mmm.ucar.edu/wrf/users/wrfda/download/testdata.html"http://www.mmm.ucar.edu/wrf/users/wrfda/downloa
d/testdata.html. Untar the gen_be_forecasts_20080205.tar.gz file. You will have:
+Example dataset for a test case (90 x 60 x 41 gridpoints) can be downloaded from HYPERLINK "http://www.mmm.ucar.edu/wrf/users/wrfda/download/testdata.html"http://www2.mmm.ucar.edu/wrf/users/wrfda/download/testdata.html. Untar the gen_be_forecasts_20080205.tar.gz file. You will have:
>ls $FC_DIR
@@ -1176,7 +1175,7 @@
Huang, X.-Y., F. Gao, N. A. Jacobs, and H. Wang, 2013: Assimilation of wind speed and direction observations: a new formulation and results from idealised experiments. Tellus A, 65, 19936, doi:10.3402/tellusa.v65i0.19936.
WRFDA with Multivariate Background Error (MBE) Statistics
-A new control variable option to implement multivariate background error (MBE) statistics in WRFDA has been introduced. It may be activated by setting the namelist variable cv_options=6. This option introduces six additional correlation coefficients in the definition of the balanced part of analysis control variables. Thus with this implementation, moisture analysis is multivariate, in the sense that temperature and wind may lead to moisture increments, and vise-versa. The gen_be utility has also been updated to compute the desired MBE statistics required for this option. The updates include basic source code, scripts, and graphics to display some important diagnostics about MBE statistics. Furth
er details may be seen at: HYPERLINK "http://www.mmm.ucar.edu/wrf/users/wrfda/Docs/WRFDA_updated_for_cv6.pdf" http://www.mmm.ucar.edu/wrf/users/wrfda/Docs/WRFDA_updated_for_cv6.pdf
+A new control variable option to implement multivariate background error (MBE) statistics in WRFDA has been introduced. It may be activated by setting the namelist variable cv_options=6. This option introduces six additional correlation coefficients in the definition of the balanced part of analysis control variables. Thus with this implementation, moisture analysis is multivariate, in the sense that temperature and wind may lead to moisture increments, and vise-versa. The gen_be utility has also been updated to compute the desired MBE statistics required for this option. The updates include basic source code, scripts, and graphics to display some important diagnostics about MBE statistics. Further details may be seen at: HYPERLINK "http://www.mmm.ucar.edu/wrf/users/wrfda/D
ocs/WRFDA_updated_for_cv6.pdf" http://www2.mmm.ucar.edu/wrf/users/wrfda/Docs/WRFDA_updated_for_cv6.pdf
a. How to generate multivariate background error statistics for WRFDA
Multivariate background error statistics for WRFDA is generated by executing a top-level script, gen_be/wrapper_gen_be_gsi.ksh, residing under SCRIPTS_DIR via a suitable wrapper script. The rest of the procedure remains the same as with normal running of the gen_be utility. A successful run will create a be.dat file in the RUN_DIR directory.
b. How to run WRFDA with multivariate background error statistics
@@ -1185,7 +1184,7 @@
Below is a list of nine tuning parameters available in WRFDA. Default values for these variables are set as 1.0. Setting corresponding values > 1.0 (< 1.0) will increase (decrease) the corresponding contributions as described in the following Table:
Variable name Descriptionpsi_chi_factorParameter to control contribution of stream function in defining balanced part of velocity potentialpsi_t_factorParameter to control contribution of stream function in defining balanced part of temperaturepsi_ps_factorParameter to control contribution of stream function in defining balanced part of surface pressurepsi_rh_factorParameter to control contribution of stream function in defining balanced part of moisturechi_u_t_factorParameter to control contribution of unbalanced part of velocity potential in defining balanced part of temperaturechi_u_ps_factorParameter to control contribution of unbalanced part of velocity potential in defi
ning balanced part of surface pressurechi_u_rh_factorParameter to control contribution of unbalanced part of velocity potential in defining balanced part of moisturet_u_rh_factorParameter to control contribution of unbalanced part of temperature in defining balanced part of moistureps_u_rh_factorParameter to control contribution of unbalanced part of surface pressure in defining balanced part of moistureWRFDA Diagnostics
WRFDA 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.
-After running WRFDA, it is important to check a number of output files to see if the assimilation appears sensible. The WRFDA package, which includes several useful scripts, may be downloaded from HYPERLINK "http://www.mmm.ucar.edu/wrf/users/wrfda/download/tools.html"http://www.mmm.ucar.edu/wrf/users/wrfda/download/tools.html
+After run
ning WRFDA, it is important to check a number of output files to see if the assimilation appears sensible. The WRFDA package, which includes several useful scripts, may be downloaded from HYPERLINK "http://www.mmm.ucar.edu/wrf/users/wrfda/download/tools.html"http://www2.mmm.ucar.edu/wrf/users/wrfda/download/tools.html
The content of some useful diagnostic files are as follows:
cost_fn and grad_fn: These files hold (in ASCII format) WRFDA cost and gradient function values, respectively, for the first and last iterations. If you run with PRINT_DETAIL_GRAD=true, however, these values will be listed for each iteration; this can be helpful for visualization purposes. The NCL script WRFDA/var/graphics/ncl/plot_cost_grad_fn.ncl may be used to plot the content of cost_fn and grad_fn, if these files are generated with PRINT_DETAIL_GRAD=true.
Note: Make sure that you remove the first two lines (header) in cost_fn and grad_fn before you plot. You also need to sp
ecify the directory name for these two files.
@@ -1241,7 +1240,7 @@
The procedure is the same as running 3D-Var/4D-Var, with the exception of some extra input files and namelist settings. The basic input files for WRFDA are LANDUSE.TBL, ob.ascii or ob.bufr (depending on which observation format you use), and be.dat (static background errors). Additional input files required by the hybrid are a single ensemble mean file (used as the fg for the hybrid application) and a set of ensemble perturbation files (used to represent flow-dependent background errors).
-A set of initial ensemble members must be prepared before the hybrid application can be started. The ensemble can be obtained from other ensemble model outputs, or you can generate them yourself. This can be done, for example, adding random noise to the initial conditions at a previous time and integrating each member to the desired time. A tutorial case with a test ensemble can be found at HYPERLINK "http://www.mmm.ucar.edu/wrf/users/wrfda/download/wrfda_hybrid_etkf_testdata.ta
r.gz"http://www.mmm.ucar.edu/wrf/users/wrfda/download/wrfda_hybrid_etkf_testdata.tar.gz. In this example, the ensemble forecasts were initialized at 2006102712 and valid 2006102800. A hybrid analysis at 2006102800 will be performed using the ensemble valid 2006102800 as input. Once you have the initial ensemble, the ensemble mean and perturbations can be calculated following the steps below:
+A set of initial ensemble members must be prepared before the hybrid application can be started. The ensemble can be obtained from other ensemble model outputs, or you can generate them yourself. This can be done, for example, adding random noise to the initial conditions at a previous time and integrating each member to the desired time. A tutorial case with a test ensemble can be found at HYPERLINK "http://www.mmm.ucar.edu/wrf/users/wrfda/download/wrfda_hybrid_etkf_testdata.tar.gz"http://www2.mmm.ucar.edu/wrf/users/wrfda/download/wrfda_hybrid_etkf_testdata.tar.gz
. In this example, the ensemble forecasts were initialized at 2006102712 and valid 2006102800. A hybrid analysis at 2006102800 will be performed using the ensemble valid 2006102800 as input. Once you have the initial ensemble, the ensemble mean and perturbations can be calculated following the steps below:
1) Set an environment variable for your working directory and your data directory
@@ -1324,7 +1323,7 @@
b. Running the ETKF System
-The first procedure is to update the ensemble perturbations. A set of initial ensemble members must be prepared before the ETKF application can be started. The ensemble can be obtained from a previous ensemble forecast. A tutorial case with a test ensemble can be found at HYPERLINK "http://www.mmm.ucar.edu/wrf/users/wrfda/download/wrfda_hybrid_etkf_testdata.tar.gz" http://www.mmm.ucar.edu/wrf/users/wrfda/download/wrfda_hybrid_etkf_testdata.tar.gz. In this example, the ensemble forecasts were initialized at 2006102712 and valid 2006102800. ETKF will be performed using the ensemble valid 2006102800 as input. Once you have the initial ensemble, the ensemble perturbations can be updated by following the steps below:
+The first procedure is to update the ensemble perturbations. A set of initial ensemble members must be prepared before the ETKF application can be started. The ensemble can be obtained from a previous ensemble forecast.
A tutorial case with a test ensemble can be found at HYPERLINK "http://www.mmm.ucar.edu/wrf/users/wrfda/download/wrfda_hybrid_etkf_testdata.tar.gz" http://www2.mmm.ucar.edu/wrf/users/wrfda/download/wrfda_hybrid_etkf_testdata.tar.gz. In this example, the ensemble forecasts were initialized at 2006102712 and valid 2006102800. ETKF will be performed using the ensemble valid 2006102800 as input. Once you have the initial ensemble, the ensemble perturbations can be updated by following the steps below:
1) Set environment variables for convenience
@@ -1563,7 +1562,7 @@
'q' = Specific humidity
"pw": total precipitable water
"ref": refractivity
-"ztd": zenith total delay&wrfvar20documentation_urlhttp://www.mmm.ucar.edu/people/wrfhelp/wrfvar/code/trunk&wrfvar21time_window_min"2002-08-02_21:00:00.0000"start time of assimilation time window used for ob_format=1 and radiances to select observations inside the defined time_window. Note: Start from V3.1, this variable is also used for ob_format=2 to double-check if the obs are within the specified time window.
+"ztd": zenith total delay&wrfvar20documentation_urlhttp://www2.mmm.ucar.edu/people/wrfhelp/wrfvar/code/trunk&wrfvar21time_window_min"2002-08-02_21:00:00.0000"start time of assimilation time window used for ob_format=1 and radiances to select observations inside the defined time_window. Note: Start from V3.1, this variable is also used for ob_format=2 to double-check if the obs are withi
n the specified time window.
&wrfvar22time_window_max"2002-08-03_03:00:00.0000"end time of assimilation time window used for ob_format=1 and radiances to select observations inside the defined time_window. Note: this variable is also used for ob_format=2 to double-check if the obs are within the specified time window.&perturbation (settings related to the 4D-Var)jcdfi_usefalse.true.: Include JcDF term in cost function.
.false.: Ignore JcDF term in cost function.jcdfi_diag10: Doesn't print out the value of Jc.
1:Print out the value of Jc.jcdfi_penalty10The weight to Jc term.enable_identity.false..true.: use identity adjoint and tangent linear model in 4D-Var.
@@ -1639,10 +1638,10 @@
-WRF-ARW V3: Users Guide 6- PAGE 38
+WRF-ARW V3: Users Guide 6- PAGE 24
-WRF-ARW V3: Users Guide 6- PAGE 39
+WRF-ARW V3: Users Guide 6- PAGE 25
@@ -1687,10 +1686,10 @@
-WRF-ARW V3: Users Guide 6- PAGE 70
+WRF-ARW V3: Users Guide 6- PAGE 64
-WRF-ARW V3: Users Guide 6- PAGE 53
+WRF-ARW V3: Users Guide 6- PAGE 63
@@ -1698,13 +1697,13 @@
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@@ -1774,7 +1777,7 @@
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< h t t p : / / w w w . m m m . u c a r . e d u / w r f / u s e r s / w r f d a / d o w n l o a d / t o o l s . h t m l V * G h t t p : / / w w w . m m m . u c a r . e d u / w r f / u s e r s / w r f d a / D o c s / W R F D A _ u p d a t e d _ f o r _ c v 6 . p d f 5 ; ? h t t p : / / w w w . m m m . u c a r . e d u / w r f / u s e r s / w r f d a / d o w n l o a d / t e s t d a t a . h t m l J . h t t p : / / w w w . n c o . n c e p . n o a a . g o v / p m b / c o d e s / G R I B 2 / O , I h t t p : / / w w w . m m m . u c a r . e d u / w r f / u s e r s / w r f d a / d o w n l o a d / p r e c i p _ c o n v e r t e r . t a r . g z e 7 4 h t t p : / / w w w . e m c . n c e p . n o a a . g o v / m m b / y l i n /
p c p a n l / Q a n d A / V . h t t p : / / d a t a . e o l . u c a r . e d u / c o d i a c / d s s / i d = 2 1 . 0 9 3 x w < h t t p : / / w w w . m m m . u c a r . e d u / w r f / u s e r s / w r f d a / d o w n l o a d / t o o l s . h t m l | = ' f t p : / / f t p . e m c . n c e p . n o a a . g o v / j c s d a / C R T M b g ? h t t p : / / r e s e a r c h . m e t o f f i c e . g o v . u k / r e s e a r c h / i n t e r p r o j / n w p s a f / r t m d h t t p : / / r e s e a r c h . m e t o f f i c e . g o v . u k / r e s e a r c h / i n t e r p r o j / n w p s a f / r t m / d o c s _ r t t o v 1 0 / u s e r s _ g u i d e _ 1 0 _ v 1 . 5 . p d f ' V h t t p : / / r e s e a r
c h . m e t o f f i c e . g o v . u k / r e s e a r c h / i n t e r p r o j / n w p s a f / r t m / r t t o v _ d e s c r i p t i o n . h t m l ' ~ V h t t p : / / r e s e a r c h . m e t o f f i c e . g o v . u k / r e s e a r c h / i n t e r p r o j / n w p s a f / r t m / r t t o v _ d e s c r i p t i o n . h t m l | C { @ h t t p : / / w w w . m m m . u c a r . e d u / w r f / u s e r s / w r f d a / d o w n l o a d / f r e e _ d a t a . h t m l ? ~ x 3 h t t p : / / w w w . n c o . n c e p . n o a a . g o v / s i b / d e c o d e r s / B U F R L I B / 6 u _ R u n n i n g _ W R F - V a r _ 1 u d r _ A d d i t i o n a l _ W R F D A _ E x e r c i s e s : _ 1 & o _ W R F
- V a r _ D i a g n o s t i c s _ 1 5 ; l ? h t t p : / / w w w . m m m . u c a r . e d u / w r f / u s e r s / w r f d a / d o w n l o a d / t e s t d a t a . h t m l O y i _ R u n n i n g _ g e n _ b e ; f " _ R u n n i n g _ O b s e r v a t i o n _ P r e p r o c e s s o r Q c _ D e s c r i p t i o n _ o f _ N a m e l i s t _ 2 X ` h t t p : / / w w w . n c l . u c a r . e d u / x w ] < h t t p : / / w w w . m m m . u c a r . e d u / w r f / u s e r s / w r f d a / d o w n l o a d / t o o l s . h t m l Q Z _ D e s c r i p t i o n _ o f _ N a m e l i s t _ 2 5 ; W ? h t t p : / / w w w . m
m m . u c a r . e d u / w r f / u s e r s / w r f d a / d o w n l o a d / t e s t d a t a . h t m l \ I T K h t t p : / / w w w . m m m . u c a r . e d u / w r f / u s e r s / d o c s / u s e r _ g u i d e _ V 3 / u s e r s _ g u i d e _ c h a p 7 . h t m f o r m a t F Q c h t t p : / / w w w . m m m . u c a r . e d u / w r f / u s e r s / w r f d a / T u t o r i a l s / 2 0 1 2 _ J u l y / t u t o r i a l _ p r e s e n t a t i o n _ s u m m e r _ 2 0 1 2 . h t m l s e N < h t t p : / / w w w . m m m . u c a r . e d u / w r f / u s e r s / w r f d a / d o w n l o a d / m a d i s . h t m l | C K @ h t t p : / / w w w . m m m . u c a r . e d u / w r f / u s e r s / w r f d a / d o w n l o a d / f r e e _ d a t a . h t m l @ H
_ I n s t a l l i n g _ W R F - V a r E > h t t p : / / w w w . m m m . u c a r . e d u / w r f / u s e r s / w r f d a / d o w n l o a d / w r f p l u s . h t m l I ] B $ _ R u n n i n g _ O b s e r v a t i o n _ P r e p r o c e s s o r _ 1 W C ? _ U p d a t i n g _ W R F _ l a t e r a l _ 1 b g < ? h t t p : / / r e s e a r c h . m e t o f f i c e . g o v . u k / r e s e a r c h / i n t e r p r o j / n w p s a f / r t m f Z 9 A h t t p : / / w w w . m m m . u c a r . e d u / w r f / u s e r s / w r f d a / d o w n l o a d / g e t _ s o u r c e . h t m l O y 6 _ R u n n i n g _ g e n _ b e I ] 3 $ _ R u n n i n g _ O b s e r v a t i o n _
P r e p r o c e s s o r _ 1 5 ; 0 ? h t t p : / / w w w . m m m . u c a r . e d u / w r f / u s e r s / w r f d a / d o w n l o a d / t e s t d a t a . h t m l ` - - 3 h t t p : / / w w w . m m m . u c a r . e d u / w r f / u s e r s / w r f d a / i n d e x . h t m l Q * _ D e s c r i p t i o n _ o f _ N a m e l i s t _ 2 y Y ' _ E T K F _ D a t a _ A s s i m i l a t i o n j k $ _ H y b r i d _ D a t a _ A s s i m i l a t i o n _ 2 & ! _ W R F - V a r _ D i a g n o s t i c s _ 1 \ _ W R F D A _ w i t h _ M u l t i v a r i a t e _ 2 * U _ A d d i t i o n a l _ W R F D A _ E x e
r c i s e s : O y _ R u n n i n g _ g e n _ b e W C _ U p d a t i n g _ W R F _ l a t e r a l _ 1 P r e c i p i t a t i o n h C _ R a d i a n c e _ D a t a _ A s s i m i l a t i o n 6 _ R u n n i n g _ W R F - V a r _ 1 I ] $ _ R u n n i n g _ O b s e r v a t i o n _ P r e p r o c e s s o r _ 1 } w W R F P l u s 1 _ I n s t a l l i n g _ W R F D A _ f o r - _ I n t r o d u c t i o n
+ L X ` h p Chapter 6: WRF-VAR kavulich Normal Me 36 Microsoft Office Word @ # @ 96@ @ %. F S &
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+ NCAR / Chapter 6: WRF-VAR Title ( 8 @ _PID_HLINKS A \ & H S h t t p : / / w w w . m m m . u c a r . e d u / w r f / u s e r s / w r f d a / d o w n l o a d / w r f d a _ h y b r i d _ e t k f _ t e s t d a t a . t a r . g z & H S h t t p : / / w w w . m m m . u c a r . e d u / w r f / u s e r s / w r f d a / d o w n l o a d / w r f d a _ h y b r i d _ e t k f _ t e s t d a t a . t a r . g z P ` _ U p d a t i n g _ W R F _ B o u n d a r y x w < h t t
p : / / w w w . m m m . u c a r . e d u / w r f / u s e r s / w r f d a / d o w n l o a d / t o o l s . h t m l V * G h t t p : / / w w w . m m m . u c a r . e d u / w r f / u s e r s / w r f d a / D o c s / W R F D A _ u p d a t e d _ f o r _ c v 6 . p d f 5 ; ? h t t p : / / w w w . m m m . u c a r . e d u / w r f / u s e r s / w r f d a / d o w n l o a d / t e s t d a t a . h t m l J . h t t p : / / w w w . n c o . n c e p . n o a a . g o v / p m b / c o d e s / G R I B 2 / O , I h t t p : / / w w w . m m m . u c a r . e d u / w r f / u s e r s / w r f d a / d o w n l o a d / p r e c i p _ c o n v e r t e r . t a r . g z e 7 4 h t t p : / / w w w . e m c . n c e p . n o a a . g o v / m m b / y l i n / p c p a n l / Q a n d A /
V . h t t p : / / d a t a . e o l . u c a r . e d u / c o d i a c / d s s / i d = 2 1 . 0 9 3 x w < h t t p : / / w w w . m m m . u c a r . e d u / w r f / u s e r s / w r f d a / d o w n l o a d / t o o l s . h t m l | = ' f t p : / / f t p . e m c . n c e p . n o a a . g o v / j c s d a / C R T M b g ? h t t p : / / r e s e a r c h . m e t o f f i c e . g o v . u k / r e s e a r c h / i n t e r p r o j / n w p s a f / r t m G _ G h t t p : / / n w p s a f . e u / d e l i v e r a b l e s / r t m / d o c s _ r t t o v 1 1 / u s e r s _ g u i d e _ 1 1 _ v 1 . 3 . p d f ' V h t t p : / / r e s e a r c h . m e t o f f i c e . g o v . u k / r e s e a r c h / i n t e r p r o j / n w p
s a f / r t m / r t t o v _ d e s c r i p t i o n . h t m l N v ~ 9 h t t p : / / n w p s a f . e u / d e l i v e r a b l e s / r t m / r t t o v _ d e s c r i p t i o n . h t m l | C { @ h t t p : / / w w w . m m m . u c a r . e d u / w r f / u s e r s / w r f d a / d o w n l o a d / f r e e _ d a t a . h t m l ? ~ x 3 h t t p : / / w w w . n c o . n c e p . n o a a . g o v / s i b / d e c o d e r s / B U F R L I B / 6 u _ R u n n i n g _ W R F - V a r _ 1 u d r _ A d d i t i o n a l _ W R F D A _ E x e r c i s e s : _ 1 & o _ W R F - V a r _ D i a g n o s t i c s _ 1 5 ; l ? h t t p : / / w w w . m m m . u c a r . e d u / w r f / u
s e r s / w r f d a / d o w n l o a d / t e s t d a t a . h t m l O y i _ R u n n i n g _ g e n _ b e ; f " _ R u n n i n g _ O b s e r v a t i o n _ P r e p r o c e s s o r Q c _ D e s c r i p t i o n _ o f _ N a m e l i s t _ 2 X ` h t t p : / / w w w . n c l . u c a r . e d u / x w ] < h t t p : / / w w w . m m m . u c a r . e d u / w r f / u s e r s / w r f d a / d o w n l o a d / t o o l s . h t m l Q Z _ D e s c r i p t i o n _ o f _ N a m e l i s t _ 2 5 ; W ? h t t p : / / w w w . m m m . u c a r . e d u / w r f / u s e r s / w r f d a / d o w n l o a d / t e s t d a t a . h t m l \ I T
K h t t p : / / w w w . m m m . u c a r . e d u / w r f / u s e r s / d o c s / u s e r _ g u i d e _ V 3 / u s e r s _ g u i d e _ c h a p 7 . h t m f o r m a t F Q c h t t p : / / w w w . m m m . u c a r . e d u / w r f / u s e r s / w r f d a / T u t o r i a l s / 2 0 1 2 _ J u l y / t u t o r i a l _ p r e s e n t a t i o n _ s u m m e r _ 2 0 1 2 . h t m l s e N < h t t p : / / w w w . m m m . u c a r . e d u / w r f / u s e r s / w r f d a / d o w n l o a d / m a d i s . h t m l | C K @ h t t p : / / w w w . m m m . u c a r . e d u / w r f / u s e r s / w r f d a / d o w n l o a d / f r e e _ d a t a . h t m l @ H _ I n s t a l l i n g _ W R F - V a r E > h t t p : / / w w w . m m m . u c a r . e d u / w r f
/ u s e r s / w r f d a / d o w n l o a d / w r f p l u s . h t m l I ] B $ _ R u n n i n g _ O b s e r v a t i o n _ P r e p r o c e s s o r _ 1 W C ? _ U p d a t i n g _ W R F _ l a t e r a l _ 1 Y M < - h t t p : / / n w p s a f . e u / d e l i v e r a b l e s / r t m / i n d e x . h t m l f Z 9 A h t t p : / / w w w . m m m . u c a r . e d u / w r f / u s e r s / w r f d a / d o w n l o a d / g e t _ s o u r c e . h t m l O y 6 _ R u n n i n g _ g e n _ b e I ] 3 $ _ R u n n i n g _ O b s e r v a t i o n _ P r e p r o c e s s o r _ 1 5 ; 0 ? h t t p : / / w w w . m m m . u c a r . e d u / w r f / u s e r s / w r f d a / d o w n l o a d / t e s
t d a t a . h t m l ` - - 3 h t t p : / / w w w . m m m . u c a r . e d u / w r f / u s e r s / w r f d a / i n d e x . h t m l Q * _ D e s c r i p t i o n _ o f _ N a m e l i s t _ 2 y Y ' _ E T K F _ D a t a _ A s s i m i l a t i o n j k $ _ H y b r i d _ D a t a _ A s s i m i l a t i o n _ 2 & ! _ W R F - V a r _ D i a g n o s t i c s _ 1 \ _ W R F D A _ w i t h _ M u l t i v a r i a t e _ 2 * U _ A d d i t i o n a l _ W R F D A _ E x e r c i s e s : O y _ R u n n i n g _ g e n _ b e W C _ U p d a t i n g _ W
R F _ l a t e r a l _ 1 P r e c i p i t a t i o n h C _ R a d i a n c e _ D a t a _ A s s i m i l a t i o n 6 _ R u n n i n g _ W R F - V a r _ 1 I ] $ _ R u n n i n g _ O b s e r v a t i o n _ P r e p r o c e s s o r _ 1 } w W R F P l u s 1 _ I n s t a l l i n g _ W R F D A _ f o r - _ I n t r o d u c t i o n
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