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Transition to Thompson Microphysics Scheme for Microwave All-sky Assimilation #719

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azadeh-gh opened this issue Mar 14, 2024 · 34 comments · Fixed by #743
Closed

Transition to Thompson Microphysics Scheme for Microwave All-sky Assimilation #719

azadeh-gh opened this issue Mar 14, 2024 · 34 comments · Fixed by #743
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@azadeh-gh
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azadeh-gh commented Mar 14, 2024

PR#743
Description:
Transition from using the GFDL microphysics scheme, currently in operation, to the Thompson scheme (GFSv17) is proposed for the microwave all-sky assimilation. This transition aims to enhance the accuracy and reliability of forecasting.

steps:

1. Read in Hydrometer Variables:
Read in two additional hydrometer variables (rain and ice number concentrations) from the 6-hour forecast model.

2. Modify CRTM Interface:
Modify the Community Radiative Transfer Model (CRTM) interface to include the aforementioned additional hydrometer variables before calling CRTM.

3. Examine Simulated Brightness Temperature:
Examine the simulated brightness temperature after implementing the modifications mentioned above, utilizing diagnostic files for analysis.

4. Run Cycled Parallel Experiment:

Conduct a cycled parallel experiment to assess the impact of replacing the GFDL microphysics scheme with the Thompson microphysics scheme on the global forecast skills.

@RussTreadon-NOAA
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@azadeh-gh and @emilyhcliu : what's the status of this issue?

@azadeh-gh
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@RussTreadon-NOAA The 4 weeks cycled experiment run for v17 and v17+ThompsonMP modification in GSI are completed. I'm going to add the PyGSI evaluation plots and link to MetPlus plots here.
The v17 run (sanity check) was before Rocky-8 but the Thompson MP run was post Rocky-8

@RussTreadon-NOAA
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Thank you @azadeh-gh for the update. To which branch have the GSI changes been committed? This branch should be linked to this issue. Since we are running parallels, we should open a draft GSI PR. Can this be done?

@azadeh-gh
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@RussTreadon-NOAA Yes, draft PR#743

@RussTreadon-NOAA
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Perfect! Thank you @azadeh-gh for opening draft PR #743. Who would you like me to assign as reviewers?

@emilyhcliu
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I can be the reviewer.

@azadeh-gh
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@RussTreadon-NOAA
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@emilyhcliu and @xincjin-NOAA have been added as reviewers to PR #743

@RussTreadon-NOAA
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WCOSS2 ctests
Build azadeh-gh:feature/ThompsonMP_Azadeh on Cactus. Run ctests with following results

Test project /lfs/h2/emc/da/noscrub/russ.treadon/git/gsi/pr743/build
    Start 1: global_4denvar
    Start 2: rtma
    Start 3: rrfs_3denvar_glbens
    Start 4: netcdf_fv3_regional
    Start 5: hafs_4denvar_glbens
    Start 6: hafs_3denvar_hybens
    Start 7: global_enkf
1/7 Test #4: netcdf_fv3_regional ..............   Passed  483.41 sec
2/7 Test #3: rrfs_3denvar_glbens ..............   Passed  485.94 sec
3/7 Test #7: global_enkf ......................   Passed  850.74 sec
4/7 Test #2: rtma .............................   Passed  968.99 sec
5/7 Test #6: hafs_3denvar_hybens ..............   Passed  1153.82 sec
6/7 Test #5: hafs_4denvar_glbens ..............   Passed  1222.91 sec
7/7 Test #1: global_4denvar ...................***Failed  1682.77 sec

86% tests passed, 1 tests failed out of 7

Total Test time (real) = 1682.87 sec

The following tests FAILED:
          1 - global_4denvar (Failed)

The global_4denvar failure is due to non-reproducible results between updat (PR #743) and contrl (develop)

The results (penalty) between the two runs are nonreproducible,
thus the regression test has Failed on cost for global_4denvar_loproc_updat and global_4denvar_loproc_contrl analyses.

The initial radiance penalties differ between contrl (<) and updat (>)

3038c3038
< radiance                     2.7518804758106209E+04
---
> radiance                     2.7518805054642144E+04

The global_4denvar test runs with imp_physics=11 (GFDL microphysics). I would not expect changes for Thompson Microphysics, imp_physics=8, to impact imp_physics=11 unless we have altered the order of calculations.

@emilyhcliu
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emilyhcliu commented May 7, 2024

WCOSS2 ctests Build azadeh-gh:feature/ThompsonMP_Azadeh on Cactus. Run ctests with following results

Test project /lfs/h2/emc/da/noscrub/russ.treadon/git/gsi/pr743/build
    Start 1: global_4denvar
    Start 2: rtma
    Start 3: rrfs_3denvar_glbens
    Start 4: netcdf_fv3_regional
    Start 5: hafs_4denvar_glbens
    Start 6: hafs_3denvar_hybens
    Start 7: global_enkf
1/7 Test #4: netcdf_fv3_regional ..............   Passed  483.41 sec
2/7 Test #3: rrfs_3denvar_glbens ..............   Passed  485.94 sec
3/7 Test #7: global_enkf ......................   Passed  850.74 sec
4/7 Test #2: rtma .............................   Passed  968.99 sec
5/7 Test #6: hafs_3denvar_hybens ..............   Passed  1153.82 sec
6/7 Test #5: hafs_4denvar_glbens ..............   Passed  1222.91 sec
7/7 Test #1: global_4denvar ...................***Failed  1682.77 sec

86% tests passed, 1 tests failed out of 7

Total Test time (real) = 1682.87 sec

The following tests FAILED:
          1 - global_4denvar (Failed)

The global_4denvar failure is due to non-reproducible results between updat (PR #743) and contrl (develop)

The results (penalty) between the two runs are nonreproducible,
thus the regression test has Failed on cost for global_4denvar_loproc_updat and global_4denvar_loproc_contrl analyses.

The initial radiance penalties differ between contrl (<) and updat (>)

3038c3038
< radiance                     2.7518804758106209E+04
---
> radiance                     2.7518805054642144E+04

The global_4denvar test runs with imp_physics=11 (GFDL microphysics). I would not expect changes for Thompson Microphysics, imp_physics=8, to impact imp_physics=11 unless we have altered the order of calculations.

Looking at the code changes.
The 'crtm_interface. f90' routine is the most likely routine that could cause differences between the control and the experiment.

I am looking into crtm_interface.f90 ....

@emilyhcliu
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emilyhcliu commented May 8, 2024

Ran mp_physics = 11 (GFDL) using GSI develop (ctl) and GSI develop+Thompson (exp) with the same initial conditions and namelist options.

Checking 1st out loop results
Found a difference in the number of assimilated obs for atms n20. Other data types are all identical between ctl and exp
exp

o-g 01 rad  npp       atms           15399934       248380       184596    35445.       35445.      0.19202      0.19202
o-g 01 rad  n20       atms           15399934       249818       186288    30859.       30859.      0.16565      0.16565

ctl

o-g 01 rad  npp       atms           15399934       248380       184596    35445.       35445.      0.19202      0.19202
o-g 01 rad  n20       atms           15399934       249818       186294    30859.       30859.      0.16565      0.16565

Looking into details in J table for exp and ctl ...
The difference is in the seventh contribution terms from radiance type

exp

36:  Begin J table inner/outer loop           0           1
 36:     J contribution                 1             2             3             4             5             6             7
 36: excess   moisture       1.038060E-01  1.022006E-01  9.917719E-02  9.676580E-02  9.450601E-02  9.240119E-02  9.174519E-02
 36: surface pressure        2.086444E+03  1.372570E+03  1.533485E+03  3.147490E+03  1.523351E+03  1.548708E+03  2.702178E+02
 36: temperature             3.427017E+03  7.915216E+03  1.409329E+04  2.510802E+04  1.635268E+04  1.077687E+04  6.418437E+03
 36: wind                    1.067022E+04  2.944788E+04  4.418823E+04  7.090250E+04  4.770293E+04  2.950454E+04  1.285591E+04
 36: moisture                2.380456E+02  6.506857E+02  1.997037E+03  2.970110E+03  6.774430E+02  5.684451E+02  5.771391E+02
 36: sst                     6.210391E+02  7.369277E+02  6.919969E+02  8.500345E+02  8.214371E+02  9.258306E+02  2.263290E+02
 36: ozone                   1.848853E+03  4.215697E+03  3.856476E+03  3.346073E+03  3.572811E+03  4.415193E+03  3.317195E+03
 36: gps bending angle       2.681869E+04  6.264942E+04  6.544016E+04  6.323547E+04  6.456239E+04  7.190747E+04  3.558029E+04
 36: radiance                1.086624E+05  1.802950E+05  2.222895E+05  1.985615E+05  1.961689E+05  2.203436E+05  9.342203E+04
 36:      J term                                     J
 36: excess   moisture            6.8060200122208536E-01
 36: surface pressure             1.1482265379852146E+04
 36: temperature                  8.4091529639478380E+04
 36: wind                         2.4527220340226620E+05
 36: moisture                     7.6789053004405077E+03
 36: sst                          4.8735948698984866E+03
 36: ozone                        2.4572298114449095E+04
 36: gps bending angle            3.9019388484551443E+05
 36: radiance                     1.2197429725271498E+06
 36:  -----------------------------------------------------
 36:  J Global                    1.9879083346810502E+06
 36:  End Jo table inner/outer loop           0           1

ctl

 36:  Begin J table inner/outer loop           0           1
 36:     J contribution                 1             2             3             4             5             6             7
 36: excess   moisture       1.038060E-01  1.022006E-01  9.917719E-02  9.676580E-02  9.450601E-02  9.240119E-02  9.174519E-02
 36: surface pressure        2.086444E+03  1.372570E+03  1.533485E+03  3.147490E+03  1.523351E+03  1.548708E+03  2.702178E+02
 36: temperature             3.427017E+03  7.915216E+03  1.409329E+04  2.510802E+04  1.635268E+04  1.077687E+04  6.418437E+03
 36: wind                    1.067022E+04  2.944788E+04  4.418823E+04  7.090250E+04  4.770293E+04  2.950454E+04  1.285591E+04
 36: moisture                2.380456E+02  6.506857E+02  1.997037E+03  2.970110E+03  6.774430E+02  5.684451E+02  5.771391E+02
 36: sst                     6.210391E+02  7.369277E+02  6.919969E+02  8.500345E+02  8.214371E+02  9.258306E+02  2.263290E+02
 36: ozone                   1.848853E+03  4.215697E+03  3.856476E+03  3.346073E+03  3.572811E+03  4.415193E+03  3.317195E+03
 36: gps bending angle       2.681869E+04  6.264942E+04  6.544016E+04  6.323547E+04  6.456239E+04  7.190747E+04  3.558029E+04
 36: radiance                1.086624E+05  1.802950E+05  2.222895E+05  1.985615E+05  1.961689E+05  2.203436E+05  9.342202E+04
 36:      J term                                     J
 36: excess   moisture            6.8060200122208536E-01
 36: surface pressure             1.1482265379852146E+04
 36: temperature                  8.4091529639478380E+04
 36: wind                         2.4527220340226620E+05
 36: moisture                     7.6789053004405077E+03
 36: sst                          4.8735948698984866E+03
 36: ozone                        2.4572298114449095E+04
 36: gps bending angle            3.9019388484551443E+05
 36: radiance                     1.2197429651381408E+06
 36:  -----------------------------------------------------
 36:  J Global                    1.9879083272920412E+06
 36:  End Jo table inner/outer loop           0           1


Will find out why there are differences in atms n20 tomorrow.

@RussTreadon-NOAA
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Thank you @emilyhcliu for digging into the differences. The behavior in your test is consistent the global_4denvar.

The contrl and updat initial radiance penalties are identical for the first 8 printed digits. fort.207 printout on the first outer loop differs for amsua_n15, amsua_n18, amsua_n19, amsua_metop-b, amsua_metop-c, atms_npp, atms_n20, and atms_n21. Again differences are small suggesting that the updat and contrl process data with different numerical constants, a different order of calculations, or a combination of both.

@RussTreadon-NOAA
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@emilyhcliu and @azadeh-gh : please do not misread my comments about analysis differences. Differences are OK as long as they are expected and/or explainable (documented). If differences are not expected or explainable, we need to figure out what's going on and document it.

Do ctests on other machines yield results consistent with WCOSS2?

@emilyhcliu
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@azadeh-gh
Changes in the branch should work for both Thompson (imp_physic=8) and GFDL (imp_physic=11). However, I tested and found that this is not the case.

I suggest using the single-cycle run to do sanity checks:

  • You can use the single-cycle script I pointed out to you yesterday. In the script, the initial conditions point to the ROTDIR of your parallel run, which has a high concentration of ice and rain in the background files.

  • Prepare two GSI branches: one is the develop branch, and the other is your branch (updated with develop)

  • Run GSI single cycle with the same set of initial conditions:

    Exp1: develop and set imp_physics=11 in the namelist (this is the operational configuration)
    Exp2: your branch and set imp_physics=11
    Exp3: your branch and set imp_physics =8

The expected results are:

  • Exp1 should be identical to Exp2 --- currently, they are not and need to be corrected.
  • Exp2 and Exp3 results should be similar

@azadeh-gh
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@emilyhcliu Thank you Emily. I will run these experiments and update you.

@emilyhcliu
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emilyhcliu commented May 20, 2024

@azadeh-gh I created a branch feature/thompson-emily from GSI develop and manually added changes from your feature/ThompsonMP_Azadeh

This branch (feature/thompson-emily) can reproduce GSI develop result.
There are differences between feature/thompson-emily and GSI develop

Please take a look and compare with your and run single cycle tests
Here are my tests on hera:
source code:
/scratch1/NCEPDEV/da/Emily.Liu/git/GSI/GSI-emilyhcliu/GSI. --- develop
/scratch1/NCEPDEV/da/Emily.Liu/git/GSI/GSI-emilyhcliu/GSI-thompson-emily

scripts:
/scratch1/NCEPDEV/da/Emily.Liu/git/GSI/GSI-emilyhcliu/scripts/rungsi.sh
/scratch1/NCEPDEV/da/Emily.Liu/git/GSI/GSI-emilyhcliu/scripts/rungsi_thompson_emily.sh

single-cycle runs: /scratch2/NCEPDEV/stmp1/Emily.Liu/GSI382

  • develop. (imp_physics = 11)
  • thompson-emily-anavinfo_orig. (imp_physics = 11 + original anavinfo ( no ni and nr)
  • thompson-emily-anavinfo_thompson. (imp_physic=11 + updated anavinfo (ni and nr added)

The results of the three runs are identical

@emilyhcliu
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@azadeh-gh Here is the next step.
I am checking the two subroutines added for Thompson:

  • calc_thompson_reff
  • calc_thompson_cloudfrac

And then run single-cycle test with imp_physics == 8
I did spot errors in calculating relative humidity (rh). Please see my comments in PR #743

I will have this done this afternoon.

@azadeh-gh
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@emilyhcliu Thank you Emily, I added your changes to the code. The results of the single cycle run from GSI develop branch and GSI feature/ThompsonMP_Azadeh branch with GFDL physics (imp_physics==11) are identical.

@RussTreadon-NOAA
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WCOSS2 test
Install azadeh-gh:feature/ThompsonMP_Azadeh at abed302 on Cactus. Run ctests with contrl being develop at 59d7578.

Test project /lfs/h2/emc/da/noscrub/russ.treadon/git/gsi/pr743/build
    Start 1: global_4denvar
    Start 2: rtma
    Start 3: rrfs_3denvar_glbens
    Start 4: netcdf_fv3_regional
    Start 5: hafs_4denvar_glbens
    Start 6: hafs_3denvar_hybens
    Start 7: global_enkf
1/7 Test #4: netcdf_fv3_regional ..............***Failed  738.54 sec
2/7 Test #3: rrfs_3denvar_glbens ..............   Passed  801.89 sec
3/7 Test #7: global_enkf ......................   Passed  1038.62 sec
4/7 Test #6: hafs_3denvar_hybens ..............   Passed  1582.37 sec
5/7 Test #5: hafs_4denvar_glbens ..............   Passed  1657.16 sec
6/7 Test #1: global_4denvar ...................   Passed  2412.55 sec
7/7 Test #2: rtma .............................   Passed  2419.02 sec

86% tests passed, 1 tests failed out of 7

Total Test time (real) = 2419.12 sec

The following tests FAILED:
          4 - netcdf_fv3_regional (Failed)

netcdf_fv3_regional failure is due to the memory threshold test

The memory for netcdf_fv3_regional_loproc_updat is 280348 KBs.  This has exceeded maximum allowable memory of 199122 KBs,
resulting in Failure memthresh of the regression test.

This test is not a reliable measure memory used by gsi.x. This is not a fatal fail.

@emilyhcliu
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@azadeh-gh
I generated output for you to plot the TCC from GFDL and Thpmoson (Xu-Randall) schemes
All runs are from your updated branch (azadeh-gh:feature/ThompsonMP_Azadeh)
GFDL: imp_physics = 11; and points to GFDL cloud table
Thompson: imp_physics=9; and points to Thpmoson cloud table.

I ran 2023050200 and 2023050206 for all AMTS and AMSU-A without thinning and set use_edge to true. So, we should get good coverage to check the TCC from GFDL and Thompson.

The output diagnostic files can be found in the following location:

GFDL
/scratch2/NCEPDEV/stmp1/Emily.Liu/GSI382/thompson-azadeh-amsua-atms-for-gfdl.2023050200
/scratch2/NCEPDEV/stmp1/Emily.Liu/GSI382/thompson-azadeh-amsua-atms-for-gfdl.2023050206

Thompson
/scratch2/NCEPDEV/stmp1/Emily.Liu/GSI382/thompson-azadeh-amsua-atms-for-gfdl.2023050200
/scratch2/NCEPDEV/stmp1/Emily.Liu/GSI382/thompson-azadeh-amsua-atms-for-gfdl.2023050206

Please let me know if you have any questions.

@emilyhcliu
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@azadeh-gh We fixed the bug in the effective radius for Graupel last Thursday by changing 10E4 to 10.
This gives reasonable effective radius values for graupel.
Just to be cautious, please double-check the changes again to ensure we are not getting the wrong answers for the wrong reason. You can cross-check the GFS model code or the fv3-jedi for comparison.

We can activate your GSI PR for active review after double-checking the following:

  • fix for Graupel effective radius (10e4 vs. 10)
  • TCC plot for Thompson (Randall-Xu scheme)
  • Regression test (should be all passing) --- I have performed single-cycle 4DEnvar tests for control (develop)and experiment (your branch) using the same configuration (imp_physics=11; GFDL). The results are identical.

@azadeh-gh
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@emilyhcliu Thanks Emily. The reason I changed the Graupel fix value from 10E4 to 10 was the fix value in fv3-jedi code. The units of Graupel equation in the slides you shared with me before were different from fv3-jedi.

@azadeh-gh
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azadeh-gh commented Jun 3, 2024

image

TCC plots for Thompson vs GFDL

amsua_n18_CloudFraction_thomson
amsua_n18_CloudFraction_gfdl
amsua_n18_CloudFraction_diff

@azadeh-gh
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azadeh-gh commented Jun 3, 2024

atms_n20_CloudFraction_gfdl

atms_n20_CloudFraction_thomson

atms_n20_CloudFraction_diff

@emilyhcliu
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For debugging:

/scratch1/NCEPDEV/da/Emily.Liu/git/GSI/GSI-emilyhcliu/GSI-thompson-azadeh/src/gsi/crtm_interface.f90

Search the keyword debug to get to the debugging print out section.
I removed the jacoian print out. So, the output will be just deterministic background (T, q, rh, cfrac, qx, reff) so the output is more readable.

@emilyhcliu
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emilyhcliu commented Jun 3, 2024

Based on the cloud fraction formula (Xu ad Randall), there are some sanity checks we can do:
RH >= 1.0 ---- CF=1.0
RH <= 0.65. --- CF = 0.0
0.65 < RH < 1 --- 0.0 < CF < 1.0

The following MPI processor (1013902) contains many cloudy profiles. Here is the first profile from that MPI output. rh is added next to cf.

/scratch2/NCEPDEV/stmp1/Emily.Liu/GSI382/thompson-azadeh-amsua_n19.2023050200/fort.1013902

 icmask        :  T
 lat lon       :    30.2192000000000        316.149400000000
 channel no.   :            2
 emissivity    :   0.477746047818629        247.014760669587
tsim tsim_clr :    1.703098297519187838E+02   1.642988156975805225E+02   9.338687397796135992E-01
 tcc           :   0.933868739779614
     k                          P                          T                          q                         rh                         cf                         ql                    reff_ql                         qi                    reff_qi                         qr                    reff_qr                         qs                    reff_qs                         qg                    reff_qg                         ni                         nr
     1   0.129351734935520858E-01   0.188530496251106911E+03   0.144102089018563538E-02   0.122513718178328586E-03   0.100099999999999987E-11   0.000000000000000000E+00   0.000000000000000000E+00   0.100099999999999982E-05   0.500100000000000033E+01   0.000000000000000000E+00   0.000000000000000000E+00   0.100099999999999982E-05   0.500100000000000033E+01   0.100099999999999982E-05   0.500100000000000033E+01   0.000000000000000000E+00   0.000000000000000000E+00
     2   0.205601572045758935E-01   0.206244249489605238E+03   0.185952298937200116E-02   0.287660318963116777E-04   0.100099999999999987E-11   0.000000000000000000E+00   0.000000000000000000E+00   0.100099999999999982E-05   0.500100000000000033E+01   0.000000000000000000E+00   0.000000000000000000E+00   0.100099999999999982E-05   0.500100000000000033E+01   0.100099999999999982E-05   0.500100000000000033E+01   0.000000000000000000E+00   0.000000000000000000E+00
     3   0.320997447702045177E-01   0.209944180384666254E+03   0.273520352616295767E-02   0.537867069636239367E-04   0.100099999999999987E-11   0.000000000000000000E+00   0.000000000000000000E+00   0.100099999999999982E-05   0.500100000000000033E+01   0.000000000000000000E+00   0.000000000000000000E+00   0.100099999999999982E-05   0.500100000000000033E+01   0.100099999999999982E-05   0.500100000000000033E+01   0.000000000000000000E+00   0.000000000000000000E+00
     4   0.492447328290632480E-01   0.214992898935368544E+03   0.335651292102077860E-02   0.102349828089217767E-03   0.100099999999999987E-11   0.000000000000000000E+00   0.000000000000000000E+00   0.100099999999999982E-05   0.500100000000000033E+01   0.000000000000000000E+00   0.000000000000000000E+00   0.100099999999999982E-05   0.500100000000000033E+01   0.100099999999999982E-05   0.500100000000000033E+01   0.000000000000000000E+00   0.000000000000000000E+00
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     k                          P                          T                          q                         rh                         cf                         ql                    reff_ql                         qi                    reff_qi                         qr                    reff_qr                         qs                    reff_qs                         qg                    reff_qg                         ni                         nr

@azadeh-gh
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azadeh-gh commented Jun 4, 2024

@emilyhcliu The routine calculating cloud properties (paths and cloud fraction) used with Thompson is named progcld_thompson_wsm6 in radiation_clouds.f. It calls cloud_fraction_mass_flx_2 to calculate the cloud fraction for radiation. The subroutine that I added to the crtm_interface code is similar to cloud_fraction_mass_flx_2.
There is another cloud_fraction_XuRandall subroutine that uses Xu-Randall cloud fraction scheme when mass-flux shallow conv is False.
So the current cloud fraction in the GSI is not Xu Randall.

@azadeh-gh
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Hera ctests results

image

@emilyhcliu
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@emilyhcliu The routine calculating cloud properties (paths and cloud fraction) used with Thompson is named progcld_thompson_wsm6 in radiation_clouds.f. It calls cloud_fraction_mass_flx_2 to calculate the cloud fraction for radiation. The subroutine that I added to the crtm_interface code is similar to cloud_fraction_mass_flx_2. There is another cloud_fraction_XuRandall subroutine that uses Xu-Randall cloud fraction scheme when mass-flux shallow conv is False. So the current cloud fraction in the GSI is not Xu Randall.

I set lmfdee2 = .true. for cloud fraction calculation in the crtm_interface.f90
The results can be found in the following location on HERA:

/scratch2/NCEPDEV/stmp1/Emily.Liu/GSI382/thompson-azadeh-amsua-atms-2.2023050200
/scratch2/NCEPDEV/stmp1/Emily.Liu/GSI382/thompson-azadeh-amsua-atms-2.2023050206

(They are still running.....)

@azadeh-gh
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azadeh-gh commented Jun 5, 2024

@emilyhcliu

Results from adding lmfdee2 = .true. for cloud fraction calculation in the crtm_interface.f90

Updatedamsua_n18_CloudFraction_thomson
updated_amsua_n18_CloudFraction_diff

@azadeh-gh
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adding lmfdee2 = .true. for cloud fraction calculation in the crtm_interface.f90 increased cloud fraction

NewMinusOld_amsua_n18_CloudFraction_diff

@emilyhcliu
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@azadeh-gh Could you also plot ATMS_N20? Thanks.

@azadeh-gh
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azadeh-gh commented Jun 5, 2024

@emilyhcliu ATMS_N20 plots using lmfdee2 = .true. for cloud fraction calculation
updated_atms_n20_CloudFraction_thomson
updated_atms_n20_CloudFraction_diff
new_old_atms_n20_CloudFraction_diff

@azadeh-gh
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azadeh-gh commented Jul 24, 2024

allskyens_ctrl : imp_physics=11 in GSI
allskyens: imp_physics=8 in GSI

gsistat_uvtq_Bias
gsistat_uvtq_Count
gsistat_uvtq_RMSE

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4 participants