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Add min area limiter
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@costachris
costachris committed Dec 2, 2023
1 parent dab93c7 commit 328e9fd
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Showing 6 changed files with 174 additions and 129 deletions.
2 changes: 1 addition & 1 deletion .buildkite/pipeline.yml
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@@ -1,6 +1,6 @@
env:
JULIA_VERSION: "1.9.3"
OPENMPI_VERSION: "4.0.4"
OPENMPI_VERSION: "4.1.5"
CUDA_VERSION: "11.2"
CLIMACOMMS_DEVICE: "CPU"
JULIA_CPU_TARGET: 'broadwell;skylake'
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9 changes: 6 additions & 3 deletions driver/generate_namelist.jl
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Expand Up @@ -111,8 +111,11 @@ function default_namelist(
namelist_defaults["turbulence"]["EDMF_PrognosticTKE"]["turbulent_entrainment_factor"] = 0.075
namelist_defaults["turbulence"]["EDMF_PrognosticTKE"]["entrainment_smin_tke_coeff"] = 0.3
namelist_defaults["turbulence"]["EDMF_PrognosticTKE"]["updraft_mixing_frac"] = 0.25
namelist_defaults["turbulence"]["EDMF_PrognosticTKE"]["area_limiter_scale"] = 4.0
namelist_defaults["turbulence"]["EDMF_PrognosticTKE"]["area_limiter_power"] = 10.0
namelist_defaults["turbulence"]["EDMF_PrognosticTKE"]["area_limiter_scale"] = 5.0
namelist_defaults["turbulence"]["EDMF_PrognosticTKE"]["area_limiter_power"] = 30.0
namelist_defaults["turbulence"]["EDMF_PrognosticTKE"]["limit_min_area"] = false
namelist_defaults["turbulence"]["EDMF_PrognosticTKE"]["min_area_limiter_scale"] = 3.0
namelist_defaults["turbulence"]["EDMF_PrognosticTKE"]["min_area_limiter_power"] = 2000.0
namelist_defaults["turbulence"]["EDMF_PrognosticTKE"]["entrainment_scale"] = 0.0004
namelist_defaults["turbulence"]["EDMF_PrognosticTKE"]["sorting_power"] = 2.0
namelist_defaults["turbulence"]["EDMF_PrognosticTKE"]["min_upd_velocity"] = 0.001
Expand Down Expand Up @@ -159,7 +162,7 @@ function default_namelist(
namelist_defaults["turbulence"]["EDMF_PrognosticTKE"]["entr_dim_scale"] = "buoy_vel" # {"buoy_vel", "inv_scale_height", "inv_z", "none"}
namelist_defaults["turbulence"]["EDMF_PrognosticTKE"]["detr_dim_scale"] = "buoy_vel" # {"buoy_vel", "inv_scale_height", "inv_z", "none"}
namelist_defaults["turbulence"]["EDMF_PrognosticTKE"]["entr_pi_subset"] = ntuple(i -> i, 6) # or, e.g., (1, 3, 6)
namelist_defaults["turbulence"]["EDMF_PrognosticTKE"]["pi_norm_consts"] = [478.298, 1.0, 1.0, 1.0, 1.0, 1.0] # normalization constants for Pi groups
namelist_defaults["turbulence"]["EDMF_PrognosticTKE"]["pi_norm_consts"] = [10.0, 5.0, 1.0, 1.0, 1.0, 1.0] # normalization constants for Pi groups
namelist_defaults["turbulence"]["EDMF_PrognosticTKE"]["stochastic_entrainment"] = "deterministic" # {"deterministic", "noisy_relaxation_process", "lognormal_scaling", "prognostic_noisy_relaxation_process"}

namelist_defaults["turbulence"]["EDMF_PrognosticTKE"]["pressure_closure_buoy"] = "normalmode"
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246 changes: 123 additions & 123 deletions post_processing/mse_tables.jl
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Expand Up @@ -5,76 +5,76 @@
all_best_mse = OrderedCollections.OrderedDict()
#
all_best_mse["ARM_SGP"] = OrderedCollections.OrderedDict()
all_best_mse["ARM_SGP"]["qt_mean"] = 0.2552463890767408
all_best_mse["ARM_SGP"]["updraft_area"] = 327.3520363312712
all_best_mse["ARM_SGP"]["updraft_w"] = 154.36957785345137
all_best_mse["ARM_SGP"]["updraft_qt"] = 30.61454320120155
all_best_mse["ARM_SGP"]["updraft_thetal"] = 172.0123422125184
all_best_mse["ARM_SGP"]["qt_mean"] = 0.29076673178995216
all_best_mse["ARM_SGP"]["updraft_area"] = 330.984813969893
all_best_mse["ARM_SGP"]["updraft_w"] = 147.24652157952917
all_best_mse["ARM_SGP"]["updraft_qt"] = 29.164231737860703
all_best_mse["ARM_SGP"]["updraft_thetal"] = 172.00836919579936
all_best_mse["ARM_SGP"]["u_mean"] = 1.3235797273549681e-5
all_best_mse["ARM_SGP"]["tke_mean"] = 1104.669205982547
all_best_mse["ARM_SGP"]["temperature_mean"] = 0.00012756357403675883
all_best_mse["ARM_SGP"]["ql_mean"] = 212.1064083740767
all_best_mse["ARM_SGP"]["tke_mean"] = 1071.1115837851398
all_best_mse["ARM_SGP"]["temperature_mean"] = 0.000145284205847849
all_best_mse["ARM_SGP"]["ql_mean"] = 191.43313382586433
all_best_mse["ARM_SGP"]["qi_mean"] = "NA"
all_best_mse["ARM_SGP"]["thetal_mean"] = 0.00011934280706982167
all_best_mse["ARM_SGP"]["Hvar_mean"] = 1639.1273022543226
all_best_mse["ARM_SGP"]["QTvar_mean"] = 894.4270510115464
all_best_mse["ARM_SGP"]["thetal_mean"] = 0.00013400187653103297
all_best_mse["ARM_SGP"]["Hvar_mean"] = 464.6765528832271
all_best_mse["ARM_SGP"]["QTvar_mean"] = 187.56407976591296
#
all_best_mse["Bomex"] = OrderedCollections.OrderedDict()
all_best_mse["Bomex"]["qt_mean"] = 0.09739390729999153
all_best_mse["Bomex"]["updraft_area"] = 127.52486658438369
all_best_mse["Bomex"]["updraft_w"] = 17.600460504489188
all_best_mse["Bomex"]["updraft_qt"] = 6.874952845534643
all_best_mse["Bomex"]["updraft_thetal"] = 69.79142187577207
all_best_mse["Bomex"]["v_mean"] = 64.9563162432342
all_best_mse["Bomex"]["u_mean"] = 0.26581933718389134
all_best_mse["Bomex"]["tke_mean"] = 70.51469538441916
all_best_mse["Bomex"]["temperature_mean"] = 3.926286649960636e-5
all_best_mse["Bomex"]["ql_mean"] = 8.237082183571355
all_best_mse["Bomex"]["qt_mean"] = 0.09011341001015058
all_best_mse["Bomex"]["updraft_area"] = 128.11120831307056
all_best_mse["Bomex"]["updraft_w"] = 15.071877299719867
all_best_mse["Bomex"]["updraft_qt"] = 6.880009558381172
all_best_mse["Bomex"]["updraft_thetal"] = 69.78077555044864
all_best_mse["Bomex"]["v_mean"] = 65.48877768586455
all_best_mse["Bomex"]["u_mean"] = 0.26993515144140345
all_best_mse["Bomex"]["tke_mean"] = 70.2632736760826
all_best_mse["Bomex"]["temperature_mean"] = 3.2721342748183155e-5
all_best_mse["Bomex"]["ql_mean"] = 7.5634994360906225
all_best_mse["Bomex"]["qi_mean"] = "NA"
all_best_mse["Bomex"]["thetal_mean"] = 3.986607753531752e-5
all_best_mse["Bomex"]["Hvar_mean"] = 3047.497956802109
all_best_mse["Bomex"]["QTvar_mean"] = 1117.6728870383952
all_best_mse["Bomex"]["thetal_mean"] = 3.33221329251271e-5
all_best_mse["Bomex"]["Hvar_mean"] = 5256.502176612955
all_best_mse["Bomex"]["QTvar_mean"] = 1819.1486275444367
#
all_best_mse["DryBubble"] = OrderedCollections.OrderedDict()
all_best_mse["DryBubble"]["updraft_area"] = 4.6329380448915837e-5
all_best_mse["DryBubble"]["updraft_w"] = 0.00037381367465367816
all_best_mse["DryBubble"]["updraft_thetal"] = 5.200056656308287e-13
all_best_mse["DryBubble"]["u_mean"] = 1.7011568606656658e-9
all_best_mse["DryBubble"]["tke_mean"] = 8.79488719128737e-5
all_best_mse["DryBubble"]["temperature_mean"] = 2.6855797193846195e-14
all_best_mse["DryBubble"]["thetal_mean"] = 2.042988524531394e-14
all_best_mse["DryBubble"]["Hvar_mean"] = 3.869104151246155e-6
all_best_mse["DryBubble"]["updraft_area"] = 193.75911462032647
all_best_mse["DryBubble"]["updraft_w"] = 1222.4535227571926
all_best_mse["DryBubble"]["updraft_thetal"] = 4.82595176836427e-5
all_best_mse["DryBubble"]["u_mean"] = 0.0002439086451975369
all_best_mse["DryBubble"]["tke_mean"] = 35499.24049194259
all_best_mse["DryBubble"]["temperature_mean"] = 1.6369287103293815e-5
all_best_mse["DryBubble"]["thetal_mean"] = 1.439036815409058e-5
all_best_mse["DryBubble"]["Hvar_mean"] = 8082.579936607187
#
all_best_mse["DYCOMS_RF01"] = OrderedCollections.OrderedDict()
all_best_mse["DYCOMS_RF01"]["qt_mean"] = 0.03222926628265145
all_best_mse["DYCOMS_RF01"]["ql_mean"] = 35.24367441898816
all_best_mse["DYCOMS_RF01"]["updraft_area"] = 29.91828462584687
all_best_mse["DYCOMS_RF01"]["updraft_w"] = 6.11595116920508
all_best_mse["DYCOMS_RF01"]["updraft_qt"] = 1.8880856499695946
all_best_mse["DYCOMS_RF01"]["updraft_thetal"] = 46.187665218886046
all_best_mse["DYCOMS_RF01"]["v_mean"] = 0.010541287021836489
all_best_mse["DYCOMS_RF01"]["u_mean"] = 0.10339578823912228
all_best_mse["DYCOMS_RF01"]["tke_mean"] = 17.149948550493168
all_best_mse["DYCOMS_RF01"]["temperature_mean"] = 9.952426281664225e-5
all_best_mse["DYCOMS_RF01"]["thetal_mean"] = 9.872176762671295e-5
all_best_mse["DYCOMS_RF01"]["Hvar_mean"] = 1280.4368757405791
all_best_mse["DYCOMS_RF01"]["QTvar_mean"] = 514.6927676054853
all_best_mse["DYCOMS_RF01"]["qt_mean"] = 0.03219020337215431
all_best_mse["DYCOMS_RF01"]["ql_mean"] = 34.90616805309427
all_best_mse["DYCOMS_RF01"]["updraft_area"] = 29.853966612468575
all_best_mse["DYCOMS_RF01"]["updraft_w"] = 6.102139340266054
all_best_mse["DYCOMS_RF01"]["updraft_qt"] = 1.8860814628700717
all_best_mse["DYCOMS_RF01"]["updraft_thetal"] = 46.18765704475976
all_best_mse["DYCOMS_RF01"]["v_mean"] = 0.010463555165664547
all_best_mse["DYCOMS_RF01"]["u_mean"] = 0.10329852122057932
all_best_mse["DYCOMS_RF01"]["tke_mean"] = 17.105518846534395
all_best_mse["DYCOMS_RF01"]["temperature_mean"] = 0.0001000176747758382
all_best_mse["DYCOMS_RF01"]["thetal_mean"] = 9.923984901176976e-5
all_best_mse["DYCOMS_RF01"]["Hvar_mean"] = 1280.408036883615
all_best_mse["DYCOMS_RF01"]["QTvar_mean"] = 514.493100959033
#
all_best_mse["DYCOMS_RF02"] = OrderedCollections.OrderedDict()
all_best_mse["DYCOMS_RF02"]["qt_mean"] = 0.05233788915003277
all_best_mse["DYCOMS_RF02"]["ql_mean"] = 6.697294177859994
all_best_mse["DYCOMS_RF02"]["qr_mean"] = 20.281931096948025
all_best_mse["DYCOMS_RF02"]["updraft_area"] = 29.027058046698794
all_best_mse["DYCOMS_RF02"]["updraft_w"] = 9.878615074729101
all_best_mse["DYCOMS_RF02"]["updraft_qt"] = 4.690371468923403
all_best_mse["DYCOMS_RF02"]["updraft_thetal"] = 40.545366095516705
all_best_mse["DYCOMS_RF02"]["v_mean"] = 43.26323125566431
all_best_mse["DYCOMS_RF02"]["u_mean"] = 19.893392920851007
all_best_mse["DYCOMS_RF02"]["tke_mean"] = 11.975979927159647
all_best_mse["DYCOMS_RF02"]["temperature_mean"] = 2.2777109899054987e-5
all_best_mse["DYCOMS_RF02"]["thetal_mean"] = 1.828111212362259e-5
all_best_mse["DYCOMS_RF02"]["Hvar_mean"] = 1188.6712169919972
all_best_mse["DYCOMS_RF02"]["QTvar_mean"] = 264.1835681681652
all_best_mse["DYCOMS_RF02"]["qt_mean"] = 0.05242881589199175
all_best_mse["DYCOMS_RF02"]["ql_mean"] = 7.1954552121017885
all_best_mse["DYCOMS_RF02"]["qr_mean"] = 21.140592728847118
all_best_mse["DYCOMS_RF02"]["updraft_area"] = 28.648700307033906
all_best_mse["DYCOMS_RF02"]["updraft_w"] = 9.102157759959661
all_best_mse["DYCOMS_RF02"]["updraft_qt"] = 4.677162503059372
all_best_mse["DYCOMS_RF02"]["updraft_thetal"] = 40.54508942465268
all_best_mse["DYCOMS_RF02"]["v_mean"] = 43.29499782280301
all_best_mse["DYCOMS_RF02"]["u_mean"] = 19.893374629727017
all_best_mse["DYCOMS_RF02"]["tke_mean"] = 14.089722969784196
all_best_mse["DYCOMS_RF02"]["temperature_mean"] = 2.4808639216725863e-5
all_best_mse["DYCOMS_RF02"]["thetal_mean"] = 1.9854090822300147e-5
all_best_mse["DYCOMS_RF02"]["Hvar_mean"] = 1259.1163139965176
all_best_mse["DYCOMS_RF02"]["QTvar_mean"] = 342.95732990596997
#
all_best_mse["GABLS"] = OrderedCollections.OrderedDict()
all_best_mse["GABLS"]["updraft_thetal"] = 5.0057325456092485e-8
Expand All @@ -86,84 +86,84 @@ all_best_mse["GABLS"]["thetal_mean"] = 5.0057325456092485e-8
all_best_mse["GABLS"]["Hvar_mean"] = 0.09340414179438572
#
all_best_mse["life_cycle_Tan2018"] = OrderedCollections.OrderedDict()
all_best_mse["life_cycle_Tan2018"]["qt_mean"] = 2.1980099071504733e-6
all_best_mse["life_cycle_Tan2018"]["ql_mean"] = 0.007720864286987472
all_best_mse["life_cycle_Tan2018"]["updraft_area"] = 0.003533017591198568
all_best_mse["life_cycle_Tan2018"]["updraft_w"] = 0.005830504321530831
all_best_mse["life_cycle_Tan2018"]["updraft_qt"] = 0.002239096166327306
all_best_mse["life_cycle_Tan2018"]["updraft_thetal"] = 1.2775945212521939e-6
all_best_mse["life_cycle_Tan2018"]["v_mean"] = 0.00012527220315071
all_best_mse["life_cycle_Tan2018"]["u_mean"] = 2.838533918504724e-7
all_best_mse["life_cycle_Tan2018"]["tke_mean"] = 0.000367555656715684
all_best_mse["life_cycle_Tan2018"]["temperature_mean"] = 5.085403105269906e-10
all_best_mse["life_cycle_Tan2018"]["thetal_mean"] = 5.269388688258327e-10
all_best_mse["life_cycle_Tan2018"]["Hvar_mean"] = 159.43305140611452
all_best_mse["life_cycle_Tan2018"]["QTvar_mean"] = 72.86468810491557
all_best_mse["life_cycle_Tan2018"]["qt_mean"] = 0.020171806854823088
all_best_mse["life_cycle_Tan2018"]["ql_mean"] = 16.55376904476486
all_best_mse["life_cycle_Tan2018"]["updraft_area"] = 4.045935338129409
all_best_mse["life_cycle_Tan2018"]["updraft_w"] = 4.033393062729022
all_best_mse["life_cycle_Tan2018"]["updraft_qt"] = 0.06312055546212496
all_best_mse["life_cycle_Tan2018"]["updraft_thetal"] = 3.5567317572989377e-5
all_best_mse["life_cycle_Tan2018"]["v_mean"] = 0.10255562921273272
all_best_mse["life_cycle_Tan2018"]["u_mean"] = 0.00030063658835013224
all_best_mse["life_cycle_Tan2018"]["tke_mean"] = 0.12558848426117689
all_best_mse["life_cycle_Tan2018"]["temperature_mean"] = 9.226065845501585e-6
all_best_mse["life_cycle_Tan2018"]["thetal_mean"] = 9.666638291720499e-6
all_best_mse["life_cycle_Tan2018"]["Hvar_mean"] = 148.89166182594923
all_best_mse["life_cycle_Tan2018"]["QTvar_mean"] = 67.6929850413386
#
all_best_mse["Nieuwstadt"] = OrderedCollections.OrderedDict()
all_best_mse["Nieuwstadt"]["updraft_area"] = 98.80140636900379
all_best_mse["Nieuwstadt"]["updraft_w"] = 14.173869320877497
all_best_mse["Nieuwstadt"]["updraft_thetal"] = 117.60593923755371
all_best_mse["Nieuwstadt"]["u_mean"] = 13.55387743355792
all_best_mse["Nieuwstadt"]["tke_mean"] = 283.65725551447355
all_best_mse["Nieuwstadt"]["temperature_mean"] = 1.1363361194923952e-5
all_best_mse["Nieuwstadt"]["thetal_mean"] = 1.1151563794475668e-5
all_best_mse["Nieuwstadt"]["Hvar_mean"] = 718.0543948198399
all_best_mse["Nieuwstadt"]["updraft_area"] = 112.10957975882653
all_best_mse["Nieuwstadt"]["updraft_w"] = 14.588033431933509
all_best_mse["Nieuwstadt"]["updraft_thetal"] = 117.60593461573117
all_best_mse["Nieuwstadt"]["u_mean"] = 13.55271333393709
all_best_mse["Nieuwstadt"]["tke_mean"] = 283.0506941645682
all_best_mse["Nieuwstadt"]["temperature_mean"] = 1.1410628938335005e-5
all_best_mse["Nieuwstadt"]["thetal_mean"] = 1.1197150405915735e-5
all_best_mse["Nieuwstadt"]["Hvar_mean"] = 719.9710717939784
#
all_best_mse["Rico"] = OrderedCollections.OrderedDict()
all_best_mse["Rico"]["qt_mean"] = 1.135326031628782
all_best_mse["Rico"]["updraft_area"] = 479.44450709772644
all_best_mse["Rico"]["updraft_w"] = 82.9293746327154
all_best_mse["Rico"]["updraft_qt"] = 17.238873618857568
all_best_mse["Rico"]["updraft_thetal"] = 133.87379116769426
all_best_mse["Rico"]["v_mean"] = 0.5144924022690499
all_best_mse["Rico"]["u_mean"] = 0.421100716597955
all_best_mse["Rico"]["tke_mean"] = 155.81504934027012
all_best_mse["Rico"]["temperature_mean"] = 0.0005444683250475638
all_best_mse["Rico"]["ql_mean"] = 28324.553421041834
all_best_mse["Rico"]["qt_mean"] = 0.8915568529497633
all_best_mse["Rico"]["updraft_area"] = 482.7071788979082
all_best_mse["Rico"]["updraft_w"] = 45.699277721275664
all_best_mse["Rico"]["updraft_qt"] = 13.984219462606
all_best_mse["Rico"]["updraft_thetal"] = 133.86163327416165
all_best_mse["Rico"]["v_mean"] = 0.6974206687894534
all_best_mse["Rico"]["u_mean"] = 0.37189477593429493
all_best_mse["Rico"]["tke_mean"] = 160.79024884653123
all_best_mse["Rico"]["temperature_mean"] = 0.0005293027359347022
all_best_mse["Rico"]["ql_mean"] = 75.08746656949579
all_best_mse["Rico"]["qi_mean"] = "NA"
all_best_mse["Rico"]["qr_mean"] = 670.3960900621912
all_best_mse["Rico"]["thetal_mean"] = 0.0005771832405292491
all_best_mse["Rico"]["Hvar_mean"] = 154085.2917284029
all_best_mse["Rico"]["QTvar_mean"] = 34840.39704458511
all_best_mse["Rico"]["qr_mean"] = 769.6650438545246
all_best_mse["Rico"]["thetal_mean"] = 0.0005031085794766699
all_best_mse["Rico"]["Hvar_mean"] = 9174.696982539586
all_best_mse["Rico"]["QTvar_mean"] = 1972.7385780751413
#
all_best_mse["Soares"] = OrderedCollections.OrderedDict()
all_best_mse["Soares"]["qt_mean"] = 0.14292527789723997
all_best_mse["Soares"]["updraft_area"] = 94.35222363436445
all_best_mse["Soares"]["updraft_w"] = 13.065908605313801
all_best_mse["Soares"]["updraft_qt"] = 23.639209142240095
all_best_mse["Soares"]["updraft_thetal"] = 65.72137520255045
all_best_mse["Soares"]["u_mean"] = 93.8971313259509
all_best_mse["Soares"]["tke_mean"] = 216.61325540883917
all_best_mse["Soares"]["temperature_mean"] = 1.3148802683589108e-5
all_best_mse["Soares"]["thetal_mean"] = 1.2072841930884616e-5
all_best_mse["Soares"]["Hvar_mean"] = 680.5458129832058
all_best_mse["Soares"]["qt_mean"] = 0.11271305497300416
all_best_mse["Soares"]["updraft_area"] = 101.11400451128685
all_best_mse["Soares"]["updraft_w"] = 14.146144460387697
all_best_mse["Soares"]["updraft_qt"] = 23.527627665482296
all_best_mse["Soares"]["updraft_thetal"] = 65.72134058135259
all_best_mse["Soares"]["u_mean"] = 93.79119005503397
all_best_mse["Soares"]["tke_mean"] = 209.99387775984619
all_best_mse["Soares"]["temperature_mean"] = 1.320395745424993e-5
all_best_mse["Soares"]["thetal_mean"] = 1.204745446281957e-5
all_best_mse["Soares"]["Hvar_mean"] = 697.9330920610389
#
all_best_mse["TRMM_LBA"] = OrderedCollections.OrderedDict()
all_best_mse["TRMM_LBA"]["qt_mean"] = 2.1442449884684387
all_best_mse["TRMM_LBA"]["updraft_area"] = 1254.0204932517388
all_best_mse["TRMM_LBA"]["updraft_w"] = 9840.030762797738
all_best_mse["TRMM_LBA"]["updraft_qt"] = 263.6487773314778
all_best_mse["TRMM_LBA"]["updraft_thetal"] = 541.3714404624005
all_best_mse["TRMM_LBA"]["v_mean"] = 71.08717681449379
all_best_mse["TRMM_LBA"]["u_mean"] = 30.401331899246482
all_best_mse["TRMM_LBA"]["tke_mean"] = 48667.31593951556
all_best_mse["TRMM_LBA"]["temperature_mean"] = 0.0005684346487320295
all_best_mse["TRMM_LBA"]["ql_mean"] = 248342.16732818636
all_best_mse["TRMM_LBA"]["qt_mean"] = 2.158945215178641
all_best_mse["TRMM_LBA"]["updraft_area"] = 1253.439729231915
all_best_mse["TRMM_LBA"]["updraft_w"] = 9878.718995281484
all_best_mse["TRMM_LBA"]["updraft_qt"] = 263.03596919055025
all_best_mse["TRMM_LBA"]["updraft_thetal"] = 541.3148993223426
all_best_mse["TRMM_LBA"]["v_mean"] = 71.03842471884745
all_best_mse["TRMM_LBA"]["u_mean"] = 30.388590194053364
all_best_mse["TRMM_LBA"]["tke_mean"] = 49629.51054235478
all_best_mse["TRMM_LBA"]["temperature_mean"] = 0.0005737239966376086
all_best_mse["TRMM_LBA"]["ql_mean"] = 249942.5982903604
all_best_mse["TRMM_LBA"]["qi_mean"] = "NA"
all_best_mse["TRMM_LBA"]["qr_mean"] = "NA"
all_best_mse["TRMM_LBA"]["qs_mean"] = "NA"
all_best_mse["TRMM_LBA"]["thetal_mean"] = 0.0005004674375363604
all_best_mse["TRMM_LBA"]["Hvar_mean"] = 447022.7713463382
all_best_mse["TRMM_LBA"]["QTvar_mean"] = 6288.665467442509
all_best_mse["TRMM_LBA"]["thetal_mean"] = 0.0005039122622028263
all_best_mse["TRMM_LBA"]["Hvar_mean"] = 448888.3884070762
all_best_mse["TRMM_LBA"]["QTvar_mean"] = 6271.940536560742
#
all_best_mse["LES_driven_SCM"] = OrderedCollections.OrderedDict()
all_best_mse["LES_driven_SCM"]["qt_mean"] = 0.1542447335052964
all_best_mse["LES_driven_SCM"]["v_mean"] = 0.32696315559512423
all_best_mse["LES_driven_SCM"]["u_mean"] = 0.0769025499324574
all_best_mse["LES_driven_SCM"]["temperature_mean"] = 5.7834193462998045e-5
all_best_mse["LES_driven_SCM"]["ql_mean"] = 18320.242710110357
all_best_mse["LES_driven_SCM"]["thetal_mean"] = 5.255557008915138e-5
all_best_mse["LES_driven_SCM"]["qt_mean"] = 0.1484084653743486
all_best_mse["LES_driven_SCM"]["v_mean"] = 0.33921695947124486
all_best_mse["LES_driven_SCM"]["u_mean"] = 0.08104493298620415
all_best_mse["LES_driven_SCM"]["temperature_mean"] = 5.4200539879417664e-5
all_best_mse["LES_driven_SCM"]["ql_mean"] = 15786.512018314408
all_best_mse["LES_driven_SCM"]["thetal_mean"] = 5.3216351612268395e-5
#
#################################
#################################
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12 changes: 11 additions & 1 deletion src/closures/entr_detr.jl
View file
Original file line number Diff line number Diff line change
Expand Up @@ -171,10 +171,20 @@ function εδ_dyn(εδ_model, εδ_vars, entr_dim_scale, detr_dim_scale, ε_nond
δ_dim_scale = entrainment_inv_length_scale(εδ_model, εδ_vars, detr_dim_scale)

area_limiter = max_area_limiter(εδ_model, εδ_vars.max_area, εδ_vars.a_up)
min_limiter = min_area_limiter(εδ_model, εδ_vars.a_up)

ε_dim_scale = min(ε_dim_scale, 1.0)
δ_dim_scale = min(δ_dim_scale, 1.0)

# fractional dynamical entrainment / detrainment [1 / m]
ε_dyn = ε_dim_scale * ε_nondim
δ_dyn = δ_dim_scale * (δ_nondim + area_limiter)
δ_dyn = δ_dim_scale * δ_nondim

if εδ_params(εδ_model).limit_min_area
ε_dyn += max(δ_dyn, ε_dyn) * min_limiter
end

δ_dyn += max(ε_dyn, δ_dyn) * area_limiter

return ε_dyn, δ_dyn
end
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