<p><b>kkeene@ucar.edu</b> 2012-01-06 17:09:08 -0700 (Fri, 06 Jan 2012)</p><p>Corrected non-working links and updated format<br>
</p><hr noshade><pre><font color="gray">Modified: trunk/wrf/UsersGuide/users_guide_chap6.doc
===================================================================
--- trunk/wrf/UsersGuide/users_guide_chap6.doc 2012-01-06 22:58:52 UTC (rev 313)
+++ trunk/wrf/UsersGuide/users_guide_chap6.doc 2012-01-07 00:09:08 UTC (rev 314)
@@ -1,11 +1,11 @@
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Chapter 6: WRF Data Assimilation
Table of Contents
HYPERLINK \l "_Introduction_1"Introduction
HYPERLINK \l "_Installing_WRF-Var"Installing WRFDA HYPERLINK \l "_Installing_WRF-Var
"for 3D-Var Run
- HYPERLINK \l "_Installing_WRFNL_and"Installing HYPERLINK \l "_Installing_WRFNL_and"WRFPLUS HYPERLINK \l "_Installing_WRFNL_and"and WRFDA for 4D-Var Run
+ HYPERLINK \l "_Installing_WRFNL_and"Installing HYPERLINK \l "WRFPlus"WRFPLUS HYPERLINK \l "_Installing_WRFNL_and"and WRFDA for 4D-Var Run
HYPERLINK \l "_Running_Observation_Preprocessor_1"Running Observation Preprocessor (OBSPROC)
HYPERLINK \l "_Running_WRF-Var_1"Running WRFDA
HYPERLINK \l "_Radiance_Data_Assimilations"Radiance Data Assimilations in WRFDA
@@ -19,7 +19,7 @@
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, 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.
-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., f
rom the WRFDA web-page HYPERLINK "http://www.mmm.ucar.edu/wrf/users/wrfda/Docs/user_guide_V3.2/users_guide_chap6.htm"http://www.mmm.ucar.edu/wrf/users/wrfda/Docs/user_guide_V3.3 HYPERLINK "http://www.mmm.ucar.edu/wrf/users/wrfda/Docs/user_guide_V3.2/users_guide_chap6.htm"/users_guide_chap6.htm.
+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.
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/RE
AL output.
@@ -57,12 +57,12 @@
> setenv BUFR 1
If satellite radiance data are to be used, in addition to the NCEP BUFR library, RTM (Radiative Transfer Model) is required. The current RTM versions that WRFDA uses are CRTM V2.0.2 and RTTOV V10. WRFDA can compile with CRTM only, or RTTOV only, or both CRTM and RTTOV together.
Starting from V3.2.1, CRTM V2.0.2 is included in the WRFDA tar file.
-To have the CRTM library compiled and the CRTM-related WR F D A c o d e g e n e r a t e d a n d c o m p i l e d a f t e r c o n f i g u r e / c o m p i l e , t y p e :
-
- > s e t e n v C R T M 1
+To have the CRTM library compiled and the CRTM-related WRFDA code generated and compiled after configure/compile, type:
+
+ > s e t e n v C R T M 1
I f R T T O V v 1 0 i s t h e R T M t o b e u s e d f o r r a d i a n c e d a t a a s
s i m i l a t i o n , t h e u s e r s h o u l d d o w n l o a d a n d i n s t a l l t h e R T T O V l i b r a r y b e f o r e c o m p i l i n g W R F D A .
- R T T O V v 1 0 c a n b e d o w n l o a ded from http://research.metoffice.gov.uk/research/interproj/nwpsaf/rtm
+ R T T O V v 1 0 c a n b e d o w n l o a d e d f r o m 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/rtm
After following the RTTOV documentation to compile the RTTOV library, set the RTTOV environment variable to the path where lib/librttov10.1.0_*.a reside.
> setenv RTTOV /usr/local/rttov10/pgi (in this example, there should exist /usr/local/rttov10/pgi/lib/librttov10.1.0_*.a)
@@ -199,6 +199,8 @@
Assign observational 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 programobsproc.exe--should be found under the directory WRFDA/var/obsproc/src if compile all_wrfvar was completed successfully.
+
+
a. Prepare observational data for 3D-Var
To prepare the observation file, for example, at the analysis time, 0h for 3D-Var, all the observations between 1h (or 1.5h) will be processed, which means that the observations between 23h and 1h are treated as the observations at 0h. This is illustrated in the following figure:
@@ -263,6 +265,8 @@
An alternative way to plot the observation is to use the ncl script: WRFDA/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 from slot1 to slot7, as illustrated in the following figure:
NOTE: The Analysis time in the figure below 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.
@@ -288,7 +292,6 @@
num_slots_past = 3, ; the number of time slots before time_analysis
num_slots_ahead = 3, ; the number of time slots after time_analysis
-
To run OBSPROC, type
> obsproc.exe >&! obsproc.out
Once obsproc.exe has completed successfully, you will see 7 observation data files:
@@ -301,7 +304,6 @@
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. You can also 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:
@@ -443,6 +445,8 @@
&perturbation
/
> da_wrfvar.exe >&! wrfda.log
+
+
The file wrfda.log (or rsl.out.0000, if run in distributed-memory mode) contains important WRFDA runtime log information. Always check the log after a WRFDA run:
*** VARIATIONAL ANALYSIS ***
DYNAMICS OPTION: Eulerian Mass Coordinate
@@ -568,9 +572,11 @@
VarBC factor used = 1.00000
*** 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. The settings appearing in namelist.output, but not specified in your namelist.input, are the default values from WRFDA/Registry/Registry.wrfvar.
After successful completion of the job, wrfvar_output (the WRFDA analysis file, i.e. the new initial condition for WRF) should appear in the working directory along with a number of diagnostic files. Various text diagnostics output files will be explained in the next section ( HYPERLINK \l "_WRF-Var_Diagnostics_1"WRFDA Diagnostics).
-To understand the role of various important WRFDA options, try re-running WRFDA by changing different namelist options; for example, making WRFDA convergence criteria more stringent. This is achieved by reducing the value of the convergence criteria EPS to
e.g. 0.0001 by adding "EPS=0.0001" in the namelist.input record &wrfvar6. See the section ( HYPERLINK \l "_Additional_WRF-Var_Exercises:"WRFDA additional exercises) for more namelist options.
+To understand the role of various important WRFDA options, try re-running WRFDA by changing different namelist options; for example, making WRFDA convergence criteria more stringent. This is achieved by reducing the value of the convergence criteria EPS to e.g. 0.0001 by adding "EPS=0.0001" in the namelist.input record &wrfvar6. See the section (HYPERLINK \l "_Additional_WRFDA_Exercises:_1"WRFDA additional exercises) for more namelist options.
c. Run the Case4D-Var
To run WRF 4D-Var, first create and enter into a working directory, such as WRFDA/var/test/4dvar.
Note: If you want to set up your own directories to run 4D-Var, please make sure you follow the linkages and namelist.input under WRFDA/var/test/4dvar.
@@ -664,6
+670,8 @@
(CRTM only) > ln -sf WRFDA/var/run/crtm_coeffs ./crtm_coeffs #(crtm_coeffs is a directory)
(RTTOV only) > ln -sf your_path/rtcoef_rttov10/rttov7pred51L ./rttov_coeffs # (rttov_coeffs is a directory)
+
+
See the following sections for more details on each aspect.
b. Radiance Data Ingest
@@ -1065,6 +1073,9 @@
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 WRFDA 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 grid space.
The WRFDA analysis file is wrfvar_output. It is in WRF (NetCDF) format. It will become the input file wrfinput_d01 of any subsequent WRF run after lateral boundary and/or lower boundary conditions are updated by another WRFDA utility (See the section Updating WRF boundary conditions).
An NCL script, WRFDA/var/graphics/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 details.
+
+
+
As an example, if you are aiming to display the U-component of the analysis at level 18, execute the following command after modifying the script WRFDA/var/graphcs/ncl/WRF-Var_plot.ncl, and make sure the following pieces of codes are uncommented:
var = "U"
fg = first_guess->U
@@ -1091,7 +1102,6 @@
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.
@@ -1112,6 +1122,11 @@
A set of initial ensemble members must be prepared before the hybrid application can be started. These ensembles can be obtained from other ensemble model outputs or you can generate them yourself; for example, adding random noise to the initial conditions at a previous time and integrating each member to the desired time. Once you have the initial ensembles, the ensemble mean and perturbations can be calculated following the steps below:
+
+
+
+
+
1) Calculate the ensemble mean
Copy or link the ensemble forecasts to your working directory. In this example, the time is 2006102712.
@@ -1203,6 +1218,7 @@
.true.: Compute and write out cost function and gradient of each iteration into files called cost_fn and grad_fn.
false.: Only the initial and final cost functions are computed and output.lat_stats_optionfalsedo not change&wrfvar12balance_type1obsolete&wrfvar13vert_corr2do not changevertical_ip0obsoletevert_evalue1do not changemax_vert_var199.0specify the maximum truncation value (in percentage) to explain the variance of stream function in eigenvector decompositionmax_vert_var299.0specify the maximum truncation value (in percentage) to explain the variance of unbalanced potential velocity in eigenvector decompositionmax_vert_var399.0specify the maximum truncation value (in percentage) to explain the variance of the unbalanced temperature in eigenvector decompositionmax_vert_var499.0specify the maximum truncation value (percentage) to explain the variance of pseudo relative humidity in eigenvector decompositionmax_vert_var
599.0for unbalanced surface pressure, it should be a non-zero positive numer.
set max_vert_var5=0.0 only for offline VarBC applications.psi_chi_factor1.0Parameter to control contribution of stream function in defining balanced part of velocity potentialpsi_t_factor1.0Parameter to control contribution of stream function in defining balanced part of temperaturepsi_ps_factor1.0Parameter to control contribution of stream function in defining balanced part of surface pressurepsi_rh_factor1.0Parameter to control contribution of stream function in defining balanced part of moisturechi_u_t_factor1.0Parameter to control contribution of unbalanced part of velocity potential in defining balanced part of temperaturechi_u_ps_factor1.0Parameter to control contribution of unbalanced part of velocity potential in defining balanced part of surface pressurechi_u_rh_factor1.0Parameter to control contribution of unbalanced part of velocity potential in defining ba
lanced part of moisturet_u_rh_factor1.0Parameter to control contribution of unbalanced part of temperature in defining balanced part of moistureps_u_rh_factor1.0Parameter to control contribution of unbalanced part of surface pressure in defining balanced part of moisture
+
&wrfvar14the following 4 variables (rtminit_nsensor, rtminit_platform, rtminit_satid, rtminit_sensor) together control what sensors to be assimilated.rtminit_nsensor1total number of sensors to be assimilatedrtminit_platform-1
(max_instruments)platforms IDs array (used dimension: rtminit_nsensor); e.g., 1 for NOAA, 9 for EOS, 10 for METOP and 2 for DMSPrtminit_satid-1.0
(max_instruments)satellite IDs array (used dimension: rtminit_nsensor)rtminit_sensor-1.0
@@ -1245,6 +1261,13 @@
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_pilotIf keep pilot obs in obs_gts (ASCII) files.write_soundIf keep sound 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 gpsre
f 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.
+
+
+
+
+
+
+
WRFDA
@@ -1252,10 +1275,10 @@
-WRF-ARW V3: Users Guide 6- PAGE 12
+WRF-ARW V3: Users Guide 6- PAGE 36
-WRF-ARW V3: Users Guide 6- PAGE 11
+WRF-ARW V3: Users Guide 6- PAGE 35
@@ -1300,7 +1323,7 @@
-WRF-ARW V3: Users Guide 6- PAGE 58
+WRF-ARW V3: Users Guide 6- PAGE 60
WRF-ARW V3: Users Guide 6- PAGE 59
@@ -1311,100 +1334,155 @@
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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 K o 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 A [ l = h t t p : / / w w w . d t c e n t e r . o r g / c o m - G S I / u s e r s / s u p p o r t / f a q s / i n d e x . p h p 6 i _ R u n n i n g _ W R F - V a r _ 1 A [ f = h t t p : / / w w w . d t c e n t e r . o r g / c o m - G S I / u s e r s / s u p p o r t / f a q s / i n d e x . p h p O } c _ A d d i t i o n a l _ W R F - V a r _ E x e r c i s e s : & `
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o w n l o a d / g e t _ s o u r c e . h t m l & < _ R u n n i n g _ g e n _ b e _ 1 x ] 9 $ _ 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 ; 6 ? 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 w 5 3 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 c s / u s e r _ g u i d e _ V 3 . 2 / u s e r s _ g u i d e _ c h a p 6 . h t m w 5 0 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 c s / u s e r _ g u i d e _ V 3 . 2 / u s e r s _ g u i d e _ c h a p 6 . h t m Q
- - _ D e s c r i p t i o n _ o f _ N a m e l i s t _ 1 X k * _ H y b r i d _ D a t a _ A s s i m i l a t i o n _ 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 : \ $ _ W R F D A _ w i t h _ M u l t i v a r i a t e _ 2 & ! _ R u n n i n g _ g e n _ b e _ 1 f C _ U p d a t i n g _ W R F _ l a t e r a l _ 1 & _ W R F - V a r _ D i a g n o s t i c s _ 1 0 _ R a d i a n c e _ D a t a _ A s s i m i l a t i o n s 6 _ R u n n i n g _ W R F - V a r _ 1 x ] $ _ 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 _ _ I n s t a l l i n g _ W R F N L _ a n d _ _ I n s t a l l i n g _ W R F N L _ a n d _ _ I n s t a l l i n g _ W R F N L _ a n d 2 _ I n s t a l l i n g _ W R F - V a r 2 _ I n s t a l l i n g _ W R F - V a r r C _ I n t r o d u c t i o n _ 1
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p K 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 p A [ i = h t t p : / / w w w . d t c e n t e r . o r g / c o m - G S I / u s e r s / s u p p o r t / f a q s / i n d e x . p h p p 6 f p _ R u n n i n g _ W R F - V a r _ 1 A [ c = h t t p : / / w w w . d t c e n t e r . o r g / c o m - G S I / u s e r s / s u p p o r t / f a q s / i n d e x . p h p p u d ` p _ 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 & ] p _ W R F - V a r _ D i a g n o s t i c s _ 1 5 ; Z ? 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 p * y W p _ R u n n i n g _ g e n _ b e I T p " _ 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
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/ d o w n l o a d / g e t _ s o u r c e . h t m l p & 9 p _ R u n n i n g _ g e n _ b e _ 1 x ] 6 p $ _ 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 ; 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 / d o w n l o a d / t e s t d a t a . h t m l p ` - 0 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 p Q
+ - p _ D e s c r i p t i o n _ o f _ N a m e l i s t _ 1 X k * p _ H y b r i d _ D a t a _ A s s i m i l a t i o n _ 2 * U ' p _ A d d i t i o n a l _ W R F D A _ E x e r c i s e s : \ $ p _ W R F D A _ w i t h _ M u l t i v a r i a t e _ 2 & ! p _ R u n n i n g _ g e n _ b e _ 1 f C p _ U p d a t i n g _ W R F _ l a t e r a l _ 1 & p _ W R F - V a r _ D i a g n o s t i c s _ 1 0 p _ R a d i a n c e _ D a t a _ A s s i m i l a t i o n s 6 p _ R u n n i n g _ W R F - V a r _ 1 x ] p $ _ R u n
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@@ -18813,8 +19367,7 @@
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