Add mean temperature to mse tables / output plots

integration_tests/ARM_SGP.jl

@@ -18,6 +18,7 @@ best_mse["updraft_qt"] = 5.2600486259435868e+01
 best_mse["updraft_thetal"] = 6.9238569266089868e+01
 best_mse["u_mean"] = 8.7994360629094174e+01
 best_mse["tke_mean"] = 2.9609371778386242e+00
+best_mse["temperature_mean"] = 2.5666937507309872e-04
 
 @testset "ARM_SGP" begin
     println("Running ARM_SGP...")
@@ -48,5 +49,6 @@ best_mse["tke_mean"] = 2.9609371778386242e+00
     test_mse(computed_mse, best_mse, "updraft_thetal")
     test_mse(computed_mse, best_mse, "u_mean")
     test_mse(computed_mse, best_mse, "tke_mean")
+    test_mse(computed_mse, best_mse, "temperature_mean")
     nothing
 end

integration_tests/Bomex.jl

@@ -19,6 +19,7 @@ best_mse["updraft_thetal"] = 2.3059746455183749e+01
 best_mse["v_mean"] = 1.2344255867930939e+02
 best_mse["u_mean"] = 5.3486981021128493e+01
 best_mse["tke_mean"] = 3.2038984505851317e+01
+best_mse["temperature_mean"] = 3.1019627325766795e-05
 
 @testset "Bomex" begin
     println("Running Bomex...")
@@ -50,5 +51,6 @@ best_mse["tke_mean"] = 3.2038984505851317e+01
     test_mse(computed_mse, best_mse, "v_mean")
     test_mse(computed_mse, best_mse, "u_mean")
     test_mse(computed_mse, best_mse, "tke_mean")
+    test_mse(computed_mse, best_mse, "temperature_mean")
     nothing
 end

integration_tests/DYCOMS_RF01.jl

@@ -20,6 +20,7 @@ best_mse["updraft_thetal"] = 1.2761175177117382e+01
 best_mse["v_mean"] = 4.0030917247593457e+01
 best_mse["u_mean"] = 3.5747549053942961e+01
 best_mse["tke_mean"] = 1.4604034781584005e+01
+best_mse["temperature_mean"] = 3.8670907549444306e-06
 
 
 @testset "DYCOMS_RF01" begin
@@ -52,5 +53,6 @@ best_mse["tke_mean"] = 1.4604034781584005e+01
     test_mse(computed_mse, best_mse, "v_mean")
     test_mse(computed_mse, best_mse, "u_mean")
     test_mse(computed_mse, best_mse, "tke_mean")
+    test_mse(computed_mse, best_mse, "temperature_mean")
     nothing
 end

integration_tests/GABLS.jl

@@ -16,6 +16,7 @@ best_mse["updraft_thetal"] = 5.0418613105717345e+00
 best_mse["v_mean"] = 5.2842359224499695e+00
 best_mse["u_mean"] = 9.7164923816186999e+00
 best_mse["tke_mean"] = 4.1067897074868842e+00
+best_mse["temperature_mean"] = 1.1313951480001104e-05
 
 @testset "GABLS" begin
     println("Running GABLS...")
@@ -43,5 +44,6 @@ best_mse["tke_mean"] = 4.1067897074868842e+00
     test_mse(computed_mse, best_mse, "v_mean")
     test_mse(computed_mse, best_mse, "u_mean")
     test_mse(computed_mse, best_mse, "tke_mean")
+    test_mse(computed_mse, best_mse, "temperature_mean")
     nothing
 end

integration_tests/Nieuwstadt.jl

@@ -16,6 +16,7 @@ best_mse["updraft_w"] = 3.9197923601593011e+01
 best_mse["updraft_thetal"] = 2.9892400636969811e+01
 best_mse["u_mean"] = 7.6422297657642343e+02
 best_mse["tke_mean"] = 6.9178066709527812e+01
+best_mse["temperature_mean"] = 1.6456374707932590e-05
 
 @testset "Nieuwstadt" begin
     println("Running Nieuwstadt...")
@@ -44,5 +45,6 @@ best_mse["tke_mean"] = 6.9178066709527812e+01
     test_mse(computed_mse, best_mse, "updraft_thetal")
     test_mse(computed_mse, best_mse, "u_mean")
     test_mse(computed_mse, best_mse, "tke_mean")
+    test_mse(computed_mse, best_mse, "temperature_mean")
     nothing
 end

integration_tests/Rico.jl

@@ -19,6 +19,7 @@ best_mse["updraft_thetal"] = 6.5601697606639760e+01
 best_mse["v_mean"] = 1.0610811546766800e+02
 best_mse["u_mean"] = 1.1387870745418634e+02
 best_mse["tke_mean"] = 9.1707254861508807e+02
+best_mse["temperature_mean"] = 2.4294131149581795e-04
 
 @testset "Rico" begin
     println("Running Rico...")
@@ -50,5 +51,6 @@ best_mse["tke_mean"] = 9.1707254861508807e+02
     test_mse(computed_mse, best_mse, "v_mean")
     test_mse(computed_mse, best_mse, "u_mean")
     test_mse(computed_mse, best_mse, "tke_mean")
+    test_mse(computed_mse, best_mse, "temperature_mean")
     nothing
 end

integration_tests/Soares.jl

@@ -18,6 +18,7 @@ best_mse["updraft_qt"] = 1.0651734450298703e+01
 best_mse["updraft_thetal"] = 2.1622611589959376e+01
 best_mse["u_mean"] = 3.9550058876376834e+03
 best_mse["tke_mean"] = 5.8683619102955831e+01
+best_mse["temperature_mean"] = 1.9035536936412582e-05
 
 @testset "Soares" begin
     println("Running Soares...")
@@ -48,5 +49,6 @@ best_mse["tke_mean"] = 5.8683619102955831e+01
     test_mse(computed_mse, best_mse, "updraft_thetal")
     test_mse(computed_mse, best_mse, "u_mean")
     test_mse(computed_mse, best_mse, "tke_mean")
+    test_mse(computed_mse, best_mse, "temperature_mean")
     nothing
 end

integration_tests/TRMM_LBA.jl

@@ -19,6 +19,7 @@ best_mse["updraft_thetal"] = 1.1072811439923926e+02
 best_mse["v_mean"] = 2.9406070722883624e+02
 best_mse["u_mean"] = 1.6903159369948669e+03
 best_mse["tke_mean"] = 2.8961135498264639e+03
+best_mse["temperature_mean"] = 8.3990495389032029e-04
 
 @testset "TRMM_LBA" begin
     println("Running TRMM_LBA...")
@@ -50,5 +51,6 @@ best_mse["tke_mean"] = 2.8961135498264639e+03
     test_mse(computed_mse, best_mse, "v_mean")
     test_mse(computed_mse, best_mse, "u_mean")
     test_mse(computed_mse, best_mse, "tke_mean")
+    test_mse(computed_mse, best_mse, "temperature_mean")
     nothing
 end

integration_tests/utils/variable_map.jl

@@ -19,4 +19,5 @@ var_map_les(::Val{:updraft_ql}) = "updraft_ql"
 var_map_les(::Val{:updraft_qr}) = "updraft_ql"
 var_map_les(::Val{:updraft_thetal}) = "updraft_thetali"
 var_map_les(::Val{:tke_mean}) = "tke_mean"
+var_map_les(::Val{:temperature_mean}) = "temperature_mean"
 #! format: on