<p><b>xinzhang</b> 2009-04-03 11:04:08 -0600 (Fri, 03 Apr 2009)</p><p>Save for Chapt6 .<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 2009-04-03 15:54:54 UTC (rev 171)
+++ trunk/wrf/UsersGuide/users_guide_chap6.doc 2009-04-03 17:04:08 UTC (rev 172)
@@ -1,6 +1,5 @@
-ࡱ
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xf: WRF forecast output.
yo: observations processed by OBSPROC.
B0: background error statistics from generic be.data/gen_be.
-R: observational data error statistics.
+R: observational and representativeness data error statistics.
In this chapter, you will learn how to run the various components of WRF-Var system. For the training purpose, 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 (WPS/real output used as a first guess of the analysis), and c) Background error statistics (estimate of errors in the background file). You can download the test dataset from HYPERLINK "http://www.mmm.ucar.edu/wrf/users/wrfda/download/testdata.html" http://www.mmm.ucar.edu/wrf/users/wrfda/download/testdata.html. In your own work, you have to create all these input files yourselves. See the section HYPERLINK \l "_Running_Observation_Preprocessor_1" Running
Observation Preprocessor for creating your observation files. See section HYPERLINK \l "_Running_gen_be_1" Running gen_be for generating your background error statistics file if you want to use cv_options=5.
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 tutorial, you can try running other, more computationally intensive, case studies and experimenting with some of the many namelist variables.
@@ -375,7 +374,6 @@
&fdda
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Variable NamesDefault ValueDescription&wrfvar1write_incrementsfalse.true.: write out a binary analysis increment file.var4dfalse.true.: 4D-Var modemulti_inc0> 0: multi-incremental runvar4d_coupling21: var4d_coupling_disk_linear, 2: var4d_coupling_disk_simulprint_detail_radarfalseprint_detail_xxx: output extra (sometimes can be too many) diagnostics for debugging; not recommended to turn them on for production runs.print_detail_xafalseprint_detail_xbfalseprint_detail_obsfalseprint_detail_gradfalsethe purpose of print_detail_grad is changed in V3.1
.true.: to print out detailed gradient of each observation type at each iteration and write out detailed cost function and gradient into files called cost_fn and grad_fn.check_max_iv_printtrueobsolete (only used by Radar)&wrfvar2analysis_accu900seconds, if time difference between namelist setting
(analysis_date) and date info read in from first guess is larger than ana
lysis_accu, WRF-Var will issue a warning message ("=======> Wrong xb time found???"), but won't abort.
-calc_w_incrementfalsedt_cloud_modelfalse&wrfvar3fg_format1 1: fg_format_wrf_arw_regional (default)
+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 ar always computed, no matter calc_w_increment=true. or .false.
+.false.: the increment of the vertical velocity W is zero if no W information assimilated.dt_cloud_modelfalseNot used&wrfvar3fg_format1 1: fg_format_wrf_arw_regional (default)
2: fg_format_wrf_nmm_regional
3: fg_format_wrf_arw_global
4: fg_format_kma_global
@@ -1091,10 +1090,10 @@
-WRF-ARW V3: Users Guide 6- PAGE 52
+WRF-ARW V3: Users Guide 6- PAGE 40
-WRF-ARW V3: Users Guide 6- PAGE 53
+WRF-ARW V3: Users Guide 6- PAGE 41
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