<p><b>xinzhang</b> 2008-08-04 09:46:30 -0600 (Mon, 04 Aug 2008)</p><p>Fix for WRF-Var home page.<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 2008-08-04 15:14:56 UTC (rev 118)
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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, whatever) 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.
-MMM Division of NCAR supports a unified (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.mmm.ucar.edu/wrf/WG4/wrfvar/wrfvar.htm.
+MMM Division of NCAR supports a unified (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.mmm.ucar.edu/wrf/users/docs/user_guide_V3/users_guide_chap6.htm" http://www.mmm.ucar.edu/wrf/users/docs/user_guide_V3/users_guide_chap6.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.
xb: first guess either from previous WRF forecast or from WPS/real output.
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-WRF-ARW V3: Users Guide 6- PAGE 44
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WRF-ARW V3: Users Guide 6- PAGE 1
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