Merge pull request #2922 from CliMA/read_les_files

Add logic for reading/interpolating GCM forcings from file and storing in cache

config/default_configs/default_config.yml

@@ -232,6 +232,9 @@ ls_adv:
 external_forcing:
   help: "External forcing for single column experiments [`nothing` (default), `GCM`]"
   value: ~
+external_forcing_file:
+  help: "External forcing file containing large-scale forcings, initial conditions, and boundary conditions [`nothing` (default), `path/to/file`]"
+  value: ~
 fps:
   help: "Frames per second for animations"
   value: 5

config/model_configs/prognostic_edmfx_gcmdriven_column.yml

@@ -1,6 +1,7 @@
 job_id: "prognostic_edmfx_gcmdriven_column"
 initial_condition: "Bomex"
 external_forcing: "GCM"
+external_forcing_file: "/groups/esm/zhaoyi/GCMForcedLES/cfsite/07/HadGEM2-A/amip/Output.cfsite23_HadGEM2-A_amip_2004-2008.07.4x/stats/Stats.cfsite23_HadGEM2-A_amip_2004-2008.07.nc"
 surface_setup: "Bomex"
 turbconv: "prognostic_edmfx"
 implicit_diffusion: true

src/prognostic_equations/forcing/external_forcing.jl

@@ -5,12 +5,24 @@
 import Thermodynamics as TD
 import ClimaCore.Spaces as Spaces
 import ClimaCore.Fields as Fields
+import NCDatasets as NC
+import StatsBase
+import Dierckx
+
+function interp_vertical_prof(x, xp, fp)
+    spl = Dierckx.Spline1D(xp, fp; k = 1)
+    return spl(vec(x))
+end
+
+mean_nc_data(data, group, var; imin = 100) =
+    StatsBase.mean(data.group[group][var][:, :][:, imin:end], dims = 2)[:]
+init_nc_data(data, group, var) = data.group[group][var][:, :][:, 1]
 
 external_forcing_cache(Y, atmos::AtmosModel) =
     external_forcing_cache(Y, atmos.external_forcing)
 
-external_forcing_cache(Y, ::Nothing) = (;)
-function external_forcing_cache(Y, ::GCMForcing)
+external_forcing_cache(Y, external_forcing::Nothing) = (;)
+function external_forcing_cache(Y, external_forcing::GCMForcing)
     FT = Spaces.undertype(axes(Y.c))
     ᶜdTdt_fluc = similar(Y.c, FT)
     ᶜdqtdt_fluc = similar(Y.c, FT)
@@ -25,21 +37,49 @@ function external_forcing_cache(Y, ::GCMForcing)
     ᶜτ_scalar = similar(Y.c, FT)
     ᶜls_subsidence = similar(Y.c, FT)
 
-    # TODO: read profiles from LES files and add here
-    @. ᶜdTdt_fluc = 0
-    @. ᶜdqtdt_fluc = 0
-    @. ᶜdTdt_hadv = 0
-    @. ᶜdqtdt_hadv = 0
-    @. ᶜdTdt_rad = 0
-    @. ᶜT_nudge = 290
-    @. ᶜqt_nudge = FT(0.01)
-    @. ᶜu_nudge = -5
-    @. ᶜv_nudge = 0
-    @. ᶜls_subsidence = 0
-    # TODO: make it a function of z and add timescale to climaparams
-    hr = 3600
-    @. ᶜτ_wind = 6hr
-    @. ᶜτ_scalar = 24hr
+    external_forcing_file = external_forcing.external_forcing_file
+
+    NC.Dataset(external_forcing_file, "r") do ds
+        function setvar!(cc_field, varname, colidx, zc_gcm, zc_les)
+            parent(cc_field[colidx]) .= interp_vertical_prof(
+                zc_gcm,
+                zc_les,
+                mean_nc_data(ds, "profiles", varname),
+            )
+        end
+
+        function setnudgevar!(cc_field, varname, colidx, zc_gcm, zc_les)
+            parent(cc_field[colidx]) .= interp_vertical_prof(
+                zc_gcm,
+                zc_les,
+                init_nc_data(ds, "profiles", varname),
+            )
+        end
+
+        Fields.bycolumn(axes(Y.c)) do colidx
+
+            zc_les = Array(ds.group["profiles"]["z_half"])
+            zc_gcm = Fields.coordinate_field(Y.c).z[colidx]
+
+            setvar!(ᶜdTdt_fluc, "dtdt_fluc", colidx, zc_gcm, zc_les)
+            setvar!(ᶜdqtdt_fluc, "dqtdt_fluc", colidx, zc_gcm, zc_les)
+            setvar!(ᶜdTdt_hadv, "dtdt_hadv", colidx, zc_gcm, zc_les)
+            setvar!(ᶜdqtdt_hadv, "dqtdt_hadv", colidx, zc_gcm, zc_les)
+            setvar!(ᶜdTdt_rad, "dtdt_rad", colidx, zc_gcm, zc_les)
+            setvar!(ᶜls_subsidence, "ls_subsidence", colidx, zc_gcm, zc_les)
+
+            setnudgevar!(ᶜT_nudge, "temperature_mean", colidx, zc_gcm, zc_les)
+            setnudgevar!(ᶜqt_nudge, "qt_mean", colidx, zc_gcm, zc_les)
+            setnudgevar!(ᶜu_nudge, "u_mean", colidx, zc_gcm, zc_les)
+            setnudgevar!(ᶜv_nudge, "v_mean", colidx, zc_gcm, zc_les)
+
+            # TODO: make it a function of z for scalar (call function above)
+            hr = 3600
+            parent(ᶜτ_wind[colidx]) .= 6hr
+            parent(ᶜτ_scalar[colidx]) .= 24hr
+        end
+    end
+
     return (;
         ᶜdTdt_fluc,
         ᶜdqtdt_fluc,

src/solver/model_getters.jl

@@ -362,7 +362,7 @@ function get_external_forcing_model(parsed_args)
     return if isnothing(external_forcing)
         nothing
     elseif external_forcing == "GCM"
-        GCMForcing()
+        GCMForcing(parsed_args["external_forcing_file"])
     end
 end
 

src/solver/types.jl

@@ -115,7 +115,9 @@ struct LargeScaleAdvection{PT, PQ}
     prof_dqtdt::PQ # Set large-scale drying
 end
 # maybe need to <: AbstractForcing
-struct GCMForcing end
+struct GCMForcing{S}
+    external_forcing_file::S
+end
 
 struct EDMFCoriolis{U, V, FT}
     prof_ug::U