<p><b>kavulich@ucar.edu</b> 2012-04-05 03:42:03 -0600 (Thu, 05 Apr 2012)</p><p>Chapter 6, version 3.4 complete!<br>
</p><hr noshade><pre><font color="gray">Modified: trunk/wrf/UsersGuide/users_guide_chap6.doc
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+++ trunk/wrf/UsersGuide/users_guide_chap6.doc        2012-04-05 09:42:03 UTC (rev 346)
@@ -1,4 +1,5 @@
-ࡱ&gt;        C                                                                    !         bjbjqq        ee]11&gt;&gt;&gt;&gt;&gt;TC?C?C??BC?JYNpNNNO@/W|X$Br-&gt;kY
 OOkYkY&gt;&gt;NN&quot;N999kYG&gt;N&gt;N9kY99ENb'C?Wh:TBKDE&gt;](9kYkYkY9kYkYkYkYkYkYkY
 kYkYkYkYkYkYkYkYkY1         =:         +ࡱ&gt;        C !                                                                  !
          bjbjqq        ee]11&gt;&gt;&gt;&gt;&gt;TC?C?C??BC?JYNpNNNOXGXZ$r-&gt;ZOOZZ&gt;&gt;NN&quot;JNZL&gt;N&gt;NZ
 N0rHC? +hTMBݼD&gt;&lt;ZZZZZZZZZZZZZZZZZZZ1         =:        
   Chapter 6: WRF Data Assimilation    Table of Contents @@ -7,7 +8,7 @@
  HYPERLINK  \l &quot;_Installing_WRFNL_and&quot;Installing HYPERLINK  \l &quot;WRFPlus&quot;WRFPLUS  HYPERLINK  \l &quot;_Installing_WRFNL_and&quot;and WRFDA for  4D-Var Run   HYPERLINK  \l &quot;_Running_Observation_Preprocessor_1&quot;Running Observation Preprocessor (OBSPROC)   HYPERLINK  \l &quot;_Running_WRF-Var_1&quot;Running WRFDA - HYPERLINK  \l &quot;_Radiance_Data_Assimilations&quot;Radiance Data Assimilations in WRFDA + HYPERLINK  \l &quot;_Radiance_Data_Assimilations&quot;Radiance Data Assimilation in WRFDA   HYPERLINK  \l &quot;Precipitation&quot; Precipitation Data Assimilation in WRFDA 4D-Var   HYPERLINK  \l &quot;_Updating_WRF_lateral_1&quot;Updating WRF Boundary Conditions   HYPERLINK  \l &quot;_Running_gen_be_1&quot;Running gen_be @@ -30,12 +31,11 @@
 B0        background error statistics from generic BE data (CV3) or gen_be.  R        observational and representative error statistics.  In this chapter, you will learn how to install and run the various components of the WRFDA system. For training purposes, you are supplied with a test case, including the following input data:  -an observation file (in LITTLE_R format, which must be processed through OBSPROC), -a netCDF background file (WPS/REAL output, used as the first guess of the analysis), and +an observation file (which must be processed through OBSPROC), +a netCDF background file (WPS/REAL 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 &quot;http://www.mmm.ucar.edu/wrf/users/wrfda/download/testdata.html&quot;http://www.mmm.ucar.edu/wrf/users/wrfda/download/testdata.html), and will be described later in more detail. In your own wor
 k, however, you will have to create all these input files yourself. See the section  HYPERLINK  \l &quot;_Running_Observation_Preprocessor_1&quot;Running Observation Preprocessor for creating your observation files. See the section  HYPERLINK  \l &quot;_Running_gen_be_1&quot;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, more 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.  As a professional courtesy, we request that you include the following references in any publication that uses any component of the community WRFDA system: @@ -59,11 +59,10 @@
 &gt; setenv NETCDF your_netcdf_path  If observational data in the PREPBUFR format are to be used, the NCEP BUFR library must be compiled, and BUFR-related WRFDA code must be generated and compiled after configure/compile. Do do this, set the environment variable BUFR before configuring:  &gt; setenv BUFR  1 -If satellite radiance data are to be used, in addition to the NCEP BUFR library, a  Radiative Transfer Model (RTM) is required. The current RTM versions that WRFDA uses are CRTM V2.0.2 and RTTOV V10. WRFDA can be compiled with either of these, or both together, but note than only one may be used in each individual run.  -Starting with V3.2.1, CRTM V2.0.2 is included in the WRFDA tar file. -To have the CRTM library compiled and the CRTM-related WRFDA code generated and compiled, se
 t the environment variable CRTM:  -  &gt; setenv CRTM  1 -If the user wishes to use RTTOV, download and install the RTTOV v10 library before compiling WRFDA. This library can be downloaded from  HYPERLINK &quot;http://research.metoffice.gov.uk/research/interproj/nwpsaf/rtm&quot; http://research.metoffice.gov.uk/research/interproj/nwpsaf/rtm. After using the RTTOV documentation to compile the library, 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/rttov10/pgi/lib/librttov10.2.0_*.a, you should set RTTOV as: +If satellite radiance data are to be used, in addition to the NCEP BUFR library, a  Radiative Transfer Model (RTM) is required. The current RTM versions that WRFDA uses are CRTM V2.0.2 and RTTOV V10. WRFDA can be compiled with either of these, or both together, but note than only one may be used in each individual
  run.  +Starting with V3.2.1, CRTM V2.0.2 is included in the WRFDA tar file. To have the CRTM library compiled and the CRTM-related WRFDA code generated and compiled, set the environment variable CRTM:  + &gt; setenv CRTM  1 +If the user wishes to use RTTOV, download and install the RTTOV v10 library before compiling WRFDA. This library can be downloaded from  HYPERLINK &quot;http://research.metoffice.gov.uk/research/interproj/nwpsaf/rtm&quot; http://research.metoffice.gov.uk/research/interproj/nwpsaf/rtm. After using the RTTOV documentation to compile the library, 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/rttov10/pgi/lib
 /librttov10.2.0_*.a, you should set RTTOV as:    &gt; setenv RTTOV /usr/local/rttov10/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 another.  @@ -185,7 +184,6 @@
 -rwxr-xr-x 1 user users 23113961 Apr  3 15:22 main/real.exe  -rwxr-xr-x 1 user users 22991725 Apr  3 15:22 main/tc.exe  -rwxr-xr-x 1 user users 32785447 Apr  3 15:20 main/wrf.exe -  Finally, set the environment variable WRFPLUS_DIR to the appropriate directory:  &gt;setenv WRFPLUS_DIR ${your_source_code_dir}/WRFPLUSV3  To install WRFDA for the 4D-Var run: @@ -194,6 +192,7 @@
 Note: As of V3.4, WRFDA 4D-Var may be compiled to run in parallel mode.   &gt;./compile all_wrfvar &gt;ls -ls var/build/*.exe var/obsproc/*.exe  You should see the same 43 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 legendary ASCII format, in use since the MM5 era). The LITTLE_R format is also used in the OBSGRID program. Please refer to the documentation in  HYPERLINK &quot;http://www.mmm.ucar.edu/wrf/users/docs/user_guide_V3/users_guide_chap7.htm&quot; \l &quot;format&quot; Chapter 7 of this Users Guide for the LITTLE_R format description. For your applications, besides those observations provided for the tutorial case, you will have to prepare your own observation files. Please see  HYPERLINK &quot;http://www.mmm.ucar.edu/wrf/users/wrfda/download/free_data.html&quot; 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, 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-specific source data to the LITTLE_R format observation data file is the users task. A more complete description of the LITTLE_R format and conventional observation data sources for WRFDA can be found by reading the tutorial found at   HYPERLINK &quot;http://www.mmm.ucar.edu/wrf/users/wrfda/Tutorials/2010_Aug/tutorial_presentation_summer_2010.html&quot; http://www.mmm.ucar.edu/wrf/users/wrfda/Tutorials/2010_Aug/tutorial_presentation_summer_2010.html.   The purposes of OBSPROC are to: @@ -245,8 +244,7 @@
 TIME_WINDOW_MIN = 2008020511             TIME_ANALYSIS   = 2008020512           TIME_WINDOW_MAX = 2008020513           OBSDATA  = ../obs_gts_2008-02-05_12:00:00.3DVAR -Next, type         -&gt; Map.csh +Next, type Map.csh to run the script  When the job has completed, you will have a gmeta file, gmeta.2008020512. This contains plots of data distribution for each type of observation contained in the OBS data file: obs_gts_2008-02-05_12:00:00.3DVAR. To view this, type                  &gt; idt gmeta.2008020512  It will display a panel-by-panel geographical distribution of various types of data. The following graphic shows the geographic distribution of sonde observations for this case.  @@ -254,7 +252,6 @@
 An alternative way to plot the observations is to use the ncl script: $WRFDA_DIR/var/graphics/ncl/plot_ob_ascii_loc.ncl. With this method, however, you need to provide the first guess file to the ncl script, and have ncl installed in your system.   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: -    NOTE: The Analysis time in the above figure is not the actual analysis time (0h). It indicates the time_analysis setting in the namelist file and is set to three hours later than the actual analysis time. The actual analysis time is still 0h.  An example file (namelist_obsproc.4dvar.wrfvar-tut) has already been provided in the var/obsproc directory. Thus, proceed as follows: @@ -273,13 +270,13 @@
 obs_gts_2008-02-05_17:00:00.4DVAR  obs_gts_2008-02-05_18:00:00.4DVAR  They are the input observation files to WRF 4D-Var. As with 3D-Var, you can use MAP_Plot to view the geographic distribution of different observations at different time slots. +  Running WRFDA  a. Download Test Data   The WRFDA system requires three input files to run: - a) WRF first guess and boundary input files output from either WPS/real (cold-start)  -     or WRF forecast (warm-start) -b) Observations (in ASCII format, PREPBUFR or BUFR for radiance) -c) A background error statistics file (containing background error covariance) + a)        WRF first guess and boundary input files output from either WPS/real (cold-start) or WRF forecast (warm-start) +b)        Observations (in ASCII format, PREPBUFR or BUFR for radiance) +c)        A background error statistics file (containing background error covariance)  The following table summarizes the above info:  Input DataFormatCreated ByFirst Guess  NETCDFWRF Preprocessin
 g System (WPS) and real.exe @@ -421,6 +418,7 @@
 No edits should be needed if you are running the tutorial case without radiance data. If you plan to use the PREPBUFR format data, change the ob_format=1 in &amp;wrfvar3 in namelist.input and link the data as ob.bufr,     &gt; ln -fs $DAT_DIR/ob/2008020512/gds1.t12.prepbufr.nr  ob.bufr +  Please note: Although WRFDA does not include any physics packages listed in &amp;physics, users still have to keep the namelist options in &amp;physics the same as which in your firstguess (use ncdump h fg to get the physics options the firstguess uses), as the WRFDA I/O utility decides which 4D variables will be output based on the physics options.  Once you have changed any other necessary namelist variables, run WRFDA 3D-Var:   &gt; da_wrfvar.exe &gt;&amp;! wrfda.log @@ -648,6 +646,7 @@
 &gt; ./da_wrfvar.exe &gt;&amp;! wrfda.log    Please note: If you utilize the lateral boundary conditions option (var4d_lbc=true), in addition to the analysis at the beginning of the time window (wrfvar_output), the analysis at the end of the time window will also be generated as ana02, which will be used in subsequent updating of boundary conditions before the forecast. +  Radiance Data Assimilation in WRFDA  This section gives a brief description for various aspects related to radiance assimilation in WRFDA. Each aspect is described mainly from the viewpoint of usage, rather than more technical and scientific details, which will appear in a separate technical report and scientific paper. Namelist parameters controlling different aspects of radiance assimilation will be detailed in the following sections. It should be noted that this section does not cover general aspects of the WRFDA assimilation. These can be found in other sections of chapter 6 of this users guide, or ot
 her WRFDA documentation.   @@ -761,7 +760,7 @@
 Passive observations  Some observations are useful for preprocessing (e.g. Quality Control, Cloud detection) but you might not want to assimilate them. If you still need to estimate their bias correction, these observations need to go through the VarBC code in the minimization. For this purpose, the VarBC uses a separate threshold on the QC values, called &quot;qc_varbc_bad&quot;. This threshold is currently set to the same value as &quot;qc_bad&quot;, but can easily be changed to any ad hoc value.   -g. Other namelist variables to control radiance assimilation + g. Other namelist variables to control radiance assimilation    RAD_MONITORING (30)          Integer array of dimension RTMINIT_NSENSER, 0 for assimilating mode, 1 for monitoring mode (only calculates innovation). @@ -867,6 +866,7 @@
   NCL scripts (WRFDA/var/graphics/ncl/plot_rad_varbc_param.ncl and WRFDA/var/graphics/ncl/advance_cymdh.ncl) are used for plotting the evolution of VarBC parameters.   +  Precipitation Data Assimilation in WRFDA 4D-Var  The assimilation of precipitation observations in WRFDA 4D-Var is described in this section. Currently, WRFPLUS has already included the adjoint and tangent linear codes of large-scale condensation and cumulus scheme, therefore precipitation data can be assimilated directly in 4D-Var. Users who are interested in the scientific detail of 4D-Var assimilation of precipitation should refer to related scientific papers, as this section is only a basic guide to running WRFDA Precipitation Assimilation. This section instructs users on data processing, namelist variable settings, and how to run WRFDA 4D-Var with precipitation observations.   @@ -1010,6 +1010,8 @@
  update_low_bdy     = .false.    This updates the lateral boundary conditions (wrf_bdy_file will be overwritten by da_update_bc). + +  Running gen_be  Starting with WRFDA version 3.1, users have three choices to define the background error covariance (BE). We call them CV3, CV5, and CV6 . With CV3 and CV5, the background errors are applied to the same set of the control variables, stream function, unbalanced potential velocity, unbalanced temperature, unbalanced surface pressure, and pseudo-relative-humidity. However, for CV6 the moisture control variable is the unbalanced part of pseudo-relative-humidity. With CV3, the control variables are in physical space while with CV5 and CV6, the control variables are in eigenvector space. The major difference between these two kinds of BE is the vertical covariance; CV3 uses the vertical recursive filter to model the vertical covariance but CV5 and CV6 use an empirical orthogonal function (EOF) to represent the vertical covariance. T
 he recursive filters to model the horizontal covariance are also different with these BEs. We have not conducted the systematic comparison of the analyses based on these BEs. However, CV3 (a BE file provided with our WRFDA system) is a global BE and can be used for any regional domain, while CV5 and CV6 BEs are domain-dependent, which should be generated based on the forecast data from the same domain. At this time, it is hard to tell which BE is better; the impact on analysis may vary from case to case.   @@ -1121,15 +1123,14 @@
 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. Further details may be seen at:   HYPERLINK &quot;https://wiki.ucar.edu/download/attachments/60622477/WRFDA__update_for_cv6.pdf&quot; https://wiki.ucar.edu/download/attachments/60622477/WRFDA__update_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  After successfully generating multivariate background error statistics file be.dat, the procedure for running WRFDA is straight-forward. If WRFDA is run through the wrapper script, suitably declare the namelist variable NL_CV_OPTIONS=6 in the wrapper script. If WRFDA is run directly (by executing da_wrfvar.exe), then include cv_options=6 in the namelist.input file under the &amp;wrfvar7 list of namelist options.  c. How to tune multivariate background error statistics in running WRFDA  Below is a list of n
 ine tuning parameters available in WRFDA. Default values for these variables are set as 1.0. Setting corresponding values &gt; 1.0 (&lt; 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 defining balanced part o
 f 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 +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 v
 elocity potential in defining balanced part of temperaturechi_u_ps_factorParameter to control contribution of unbalanced part of velocity potential in defining 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 moisture + WRFDA 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 &quot;http://www.mmm.ucar.edu/wrf/users/wrfda/download/tools.html&quot;http://www.mmm.ucar.edu/wrf/users/wrfda/download/tools.html  The content of some useful diagnostic files are as follows: @@ -1168,8 +1169,9 @@
 The plot created will look as follows:    Note: Larger analysis increments indicate a larger data impact in the corresponding region of the domain. +  Hybrid Data Assimilation in WRFDA -The WRFDA system also includes a hybrid data assimilation technique, which is based on the existing 3DVAR. The difference between hybrid and 3DVAR schemes is that 3DVAR relies solely on a static covariance model to specify the background errors, while the hybrid system uses a combination of 3DVAR static error covariances and ensemble-estimated error covariances to incorporate a flow-dependent estimate of the background error statistics. Please refer to Wang et al. (2008a,b) for a detailed description of the methodology used in the WRF hybrid system. The following section will give a brief introduction of some aspects of using the hybrid system. +The WRFDA system also includes a hybrid data assimilation technique, which is based on the existing 3D-Var. The difference between hybrid and 3D-Var
  schemes is that 3D-Var relies solely on a static covariance model to specify the background errors, while the hybrid system uses a combination of 3D-Var static error covariances and ensemble-estimated error covariances to incorporate a flow-dependent estimate of the background error statistics. Please refer to Wang et al. (2008a,b) for a detailed description of the methodology used in the WRF hybrid system. The following section will give a brief introduction of some aspects of using the hybrid system.      a. Source Code @@ -1181,11 +1183,11 @@
 WRFDA/var/build/da_wrfvar.exe  WRFDA/var/build/gen_be_vertloc.exe   -gen_be_ensmean.exe is used to calculate the ensemble mean, while gen_be_ep2.exe is used to calculate the ensemble perturbations. gen_be_vertloc.exe is used for vertical localization. As with 3DVAR/4DVAR, da_wrfvar.exe is the main WRFDA program. However, in this case, da_wrfvar.exe will run in the hybrid mode. +gen_be_ensmean.exe is used to calculate the ensemble mean, while gen_be_ep2.exe is used to calculate the ensemble perturbations. gen_be_vertloc.exe is used for vertical localization. As with 3D-Var/4D-Var, da_wrfvar.exe is the main WRFDA program. However, in this case, da_wrfvar.exe will run in the hybrid mode.    b. Running The Hybrid System   -The procedure is the same as running 3DVAR/4DVAR, 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 backg
 round 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).  +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 ini
 tial 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 &quot;http://www.mmm.ucar.edu/wrf/users/wrfda/Tutorials/2011_July/data/wrfda_hybrid_testdata.tar.gz&quot; http://www.mmm.ucar.edu/wrf/users/wrfda/Tutorials/2011_July/data/wrfda_hybrid_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:   @@ -1252,6 +1254,7 @@
 alpha standard deviation. Default value is 1.0   alpha_vertloc   for vertical localization.  .true.=use vertical localization; .false.=no vertical localization  +  Description of Namelist Variables  WRFDA namelist variables.   Variable NamesDefault ValueDescription&amp;wrfvar1write_incrementsfalse.true.: write out a binary analysis increment filevar4dfalse.true.: 4D-Var modevar4d_lbctrue.true.: on/off for lateral boundary control in 4D-Varvar4d_bin3600seconds, observation sub-window length for 4D-Var   var4d_bin_rain3600seconds, precipitation observation sub-window length for 4D-Var multi_inc0&gt; 0: multi-incremental runprint_detail_radarfalseprint_detail_xxx: output extra (sometimes can be too many) diagnostics for debugging; not recommended to turn these on for production runsprint_detail_xafalseprint_detail_xbfalseprint_detail_obsfalseprint_detail_gradfalse.true.: to print out a detailed gradient of each observation type at
  each iterationcheck_max_iv_printtrueobsolete (used only by Radar)&amp;wrfvar2analysis_accu900in seconds, if the time difference between the namelist setting (analysis_date) and date info read-in from the first guess is larger than analysis_accu, WRFDA will issue a warning message (&quot;=======&gt; Wrong xb time found???&quot;), but won't abort. @@ -1401,10 +1404,10 @@
      -WRF-ARW V3: Users Guide                6- PAGE 60 +WRF-ARW V3: Users Guide                6- PAGE 52     -WRF-ARW V3: Users Guide                6- PAGE 59 +WRF-ARW V3: Users Guide                6- PAGE 53       @@ -1412,79 +1415,83 @@
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