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diff --git a/notebooks/01-rcespinup.jl b/notebooks/01-rcespinup.jl index 6f7e9fb..f35f790 100644 --- a/notebooks/01-rcespinup.jl +++ b/notebooks/01-rcespinup.jl @@ -1,5 +1,5 @@ ### A Pluto.jl notebook ### -# v0.19.41 +# v0.19.46 using Markdown using InteractiveUtils @@ -69,8 +69,12 @@ else end # ╔═╡ 20d88eb4-8035-43d3-bfd1-084e38726b4b -if prefix == "P" && iszero(dsize) - md"Toggle Horizontal Resolution: $(@bind hres PlutoUI.Slider(1:2,default=1))" +if iszero(dsize) + if prefix == "P" + md"Toggle Horizontal Resolution: $(@bind hres PlutoUI.Slider(0:2,default=1))" + else + md"Toggle Horizontal Resolution: $(@bind hres PlutoUI.Slider(0:1,default=1))" + end else hres = 1 md"" @@ -117,9 +121,17 @@ begin md"Number of Vertical Levels: $(nvert)" end +# ╔═╡ 2ec96d61-c6f5-4015-b9bb-f2b544914ab3 +if (prefix == "P" || prefix == "T") && isone(hres) && iszero(dsize) && iszero(is2D) && iszero(isfsf) + md"Temperature? $(@bind sst PlutoUI.Slider(300:5:305,default=300))" +else + sst = 300 + md"" +end + # ╔═╡ ac8b9d4c-5ade-11eb-06f4-33bff063bbde begin - config = "$(prefix)$(@sprintf("%03d",128*2. ^dsize))$(@sprintf("%d",2. ^hres))km300V$(nvert)" + config = "$(prefix)$(@sprintf("%03d",128*2. ^dsize))$(@sprintf("%d",2. ^hres))km$(sst)V$(nvert)" if isone(is2D); config = "$(config)_2D" end if isone(isfsf); config = "$(config)_FSF" end nen = 10 @@ -347,6 +359,7 @@ end # ╟─5940bed1-cf63-4caa-a954-b4aa8d3ab459 # ╟─8697387f-a384-41a6-bba1-f61f47056bd0 # ╟─fab65122-bf01-44d7-8a92-e0b842983a98 +# ╟─2ec96d61-c6f5-4015-b9bb-f2b544914ab3 # ╟─ac8b9d4c-5ade-11eb-06f4-33bff063bbde # ╟─7842e150-822b-11eb-1ded-f35ee4cc6d8c # ╟─99dca670-81e5-11eb-24b8-cf1b23d8c1f7 diff --git a/notebooks/02-wtgstrength.jl b/notebooks/02-wtgstrength.jl index bf18a15..877d839 100644 --- a/notebooks/02-wtgstrength.jl +++ b/notebooks/02-wtgstrength.jl @@ -1,5 +1,5 @@ ### A Pluto.jl notebook ### -# v0.19.41 +# v0.19.46 using Markdown using InteractiveUtils @@ -51,12 +51,12 @@ begin pplt.close() fig,axs = pplt.subplots(ncols=6,aspect=0.3,axwidth=0.9,sharey=0,wspace=[1,1,4,1,1]) - ds_rceprcp = NCDataset(datadir("precipitation","RCE-P1282km300V64.nc")) + ds_rceprcp = NCDataset(datadir("precipitation","RCE-P0642km300V64.nc")) prcp_RCE = ds_rceprcp["precipitation"][:,:] / 24 prcpRCEμ_P = mean(prcp_RCE[1001:2000,:]) close(ds_rceprcp) - ds_rceprcp = NCDataset(datadir("precipitation","RCE-T1282km300V64.nc")) + ds_rceprcp = NCDataset(datadir("precipitation","RCE-T0642km300V64.nc")) prcp_RCE = ds_rceprcp["precipitation"][:,:] / 24 prcpRCEμ_T = mean(prcp_RCE[1001:2000,:]) close(ds_rceprcp) @@ -68,7 +68,7 @@ begin for conDGW in configDGW - fnc = "DGW-T1282km300V64-$(dampingstrprnt(conDGW)).nc" + fnc = "DGW-T0642km300V64-$(dampingstrprnt(conDGW)).nc" ds_dgwprcp = NCDataset(datadir("precipitation",fnc)) prcp = ds_dgwprcp["precipitation"][:,:] / 24 @@ -132,7 +132,7 @@ begin close(ds_dgwprcp) - fnc = "DGW-P1282km300V64-$(dampingstrprnt(conDGW)).nc" + fnc = "DGW-P0642km300V64-$(dampingstrprnt(conDGW)).nc" ds_dgwprcp = NCDataset(datadir("precipitation",fnc)) prcp = ds_dgwprcp["precipitation"][:,:] / 24 @@ -168,7 +168,7 @@ begin for conWTG in configWTG - fnc = "SPC-T1282km300V64-$(relaxscalestrprnt(conWTG)).nc" + fnc = "SPC-T0642km300V64-$(relaxscalestrprnt(conWTG)).nc" ds_wtgprcp = NCDataset(datadir("precipitation",fnc)) prcp = ds_wtgprcp["precipitation"][:,:] / 24 @@ -230,7 +230,7 @@ begin close(ds_wtgprcp) - fnc = "SPC-P1282km300V64-$(relaxscalestrprnt(conWTG)).nc" + fnc = "SPC-P0642km300V64-$(relaxscalestrprnt(conWTG)).nc" ds_wtgprcp = NCDataset(datadir("precipitation",fnc)) prcp = ds_wtgprcp["precipitation"][:,:] / 24 diff --git a/notebooks/03-timeseriesanalysis.jl b/notebooks/03-timeseriesanalysis.jl index c13b6bf..e6e5d88 100644 --- a/notebooks/03-timeseriesanalysis.jl +++ b/notebooks/03-timeseriesanalysis.jl @@ -1,5 +1,5 @@ ### A Pluto.jl notebook ### -# v0.19.41 +# v0.19.42 using Markdown using InteractiveUtils @@ -110,7 +110,7 @@ begin if isfile(datadir("precipitation",fnc)) ds_dgwprcp = NCDataset(datadir("precipitation",fnc)) dt = ds_dgwprcp["time"][:] - prcp = ds_dgwprcp["precipitation"][:] / 24 + prcp = ds_dgwprcp["precipitation"][:,:] / 24 ats[1].plot(dt,prcp,c=blues_WTG[ic]) close(ds_dgwprcp) end @@ -149,7 +149,7 @@ begin nmem = 0 if isfile(datadir("precipitation",fnc)) ds_dgwprcp = NCDataset(datadir("precipitation",fnc)) - prcp = ds_dgwprcp["precipitation"][:] / 24 + prcp = ds_dgwprcp["precipitation"][:,:] / 24 close(ds_dgwprcp) for imem = 1 : 15 if sum(.!isnan.(prcp[:,imem])) == 6000 diff --git a/notebooks/05-2Doutput.jl b/notebooks/05-2Doutput.jl index 71ab587..e37b76b 100644 --- a/notebooks/05-2Doutput.jl +++ b/notebooks/05-2Doutput.jl @@ -1,5 +1,5 @@ ### A Pluto.jl notebook ### -# v0.19.27 +# v0.19.42 using Markdown using InteractiveUtils @@ -49,12 +49,12 @@ In this notebook, we investigate and develop a way to implement the WTG forcing # ╔═╡ a63de98c-5b35-11eb-0a8f-b7a1ebd441b6 begin - configWTG = [0.02,0.05,0.1,0.2,0.5,1,2,5] + configWTG = [0.1,0.2,0.5,1] nconWTG = length(configWTG) blues_WTG = pplt.get_colors("Blues",(nconWTG)) lgd_WTG = Dict("frame"=>false,"ncols"=>3) md"Loading time dimension and defining the damping experiments ..." - prcp = zeros(Float32,32,32,480,8) + olr = zeros(Float32,32,32,480,8) md"Some preallocation and setup" end @@ -66,47 +66,57 @@ begin if isone(isanim) for ic in 1 : nconWTG - prcpii = @view prcp[:,:,:,ic] + olrii = @view olr[:,:,:,ic] fnc = datadir( "DGW","T0642km300V64",dampingstrprnt(configWTG[ic]),"OUT_2D", "DGW_ExploreWTGSpace-T0642km300V64-member01-OUT2D_32.2Dcom_1.nc" ) ds_dgwprcp = NCDataset(datadir(fnc)) - NCDatasets.load!(ds_dgwprcp["TB"].var,prcpii,:,:,:) + NCDatasets.load!(ds_dgwprcp["TB"].var,olrii,:,:,:) close(ds_dgwprcp) end + mkpath(plotsdir("02Doutput")) for ii = 1 : 480 pplt.close() - fts,ats = pplt.subplots(nrows=2,ncols=4,axwidth=1) + fts,ats = pplt.subplots(ncols=4,axwidth=1) - lvls = 200 : 5 : 300 - - for ic = 1 : nconWTG - ats[ic].pcolormesh(1:2:63,1:2:63,prcp[:,:,ii,ic],levels=lvls,cmap="Blues",extend="both") + lvls = 200 : 10 : 300 + + c = + ats[1].pcolormesh(1:2:63,1:2:63,olr[:,:,ii,1],levels=lvls,cmap="Blues",extend="both") + for ic = 2 : nconWTG + ats[ic].pcolormesh(1:2:63,1:2:63,olr[:,:,ii,ic],levels=lvls,cmap="Blues",extend="both") end for ax in ats ax.format( - xlim=(0,64),ylim=(0,64), + xlim=(0,64),xlocator=0:16:64,xlabel="X / km", + ylim=(0,64),ylocator=0:16:64,ylabel="Y / km", ) end - - fts.savefig(plotsdir("02Doutput-$ii.png"),transparent=false,dpi=150) + + ats[1].format(ltitle=L"$a_m=$0.1 day$^{-1}$") + ats[2].format(ltitle=L"$a_m=$0.2 day$^{-1}$") + ats[3].format(ltitle=L"$a_m=$0.5 day$^{-1}$") + ats[4].format(ltitle=L"$a_m=$1 day$^{-1}$") + + fts.colorbar(c,label=L"$T_b$ / K") + fts.savefig(plotsdir("02Doutput/$ii.png"),transparent=false,dpi=150) end end end # ╔═╡ 42024543-700e-42bf-acd2-b9edabe73cf6 -load(plotsdir("02Doutput-1.png")) +load(plotsdir("02Doutput/1.png")) # ╔═╡ Cell order: # ╟─e78a75c2-590f-11eb-1144-9127b0309135 # ╟─681658b0-5914-11eb-0d65-bbace277d145 # ╟─6dce35fc-5914-11eb-0ce2-0d4e164e1898 -# ╟─a63de98c-5b35-11eb-0a8f-b7a1ebd441b6 +# ╠═a63de98c-5b35-11eb-0a8f-b7a1ebd441b6 # ╟─be7a062d-7424-48d9-bea2-a4c58b132030 # ╟─dc06d1f6-b3ab-4c7e-9f30-cfe1bb5e9cbd -# ╟─42024543-700e-42bf-acd2-b9edabe73cf6 +# ╠═42024543-700e-42bf-acd2-b9edabe73cf6 diff --git a/notebooks/FigureS2.jl b/notebooks/FigureS2.jl index 5431471..cb22340 100644 --- a/notebooks/FigureS2.jl +++ b/notebooks/FigureS2.jl @@ -1,5 +1,5 @@ ### A Pluto.jl notebook ### -# v0.19.27 +# v0.19.42 using Markdown using InteractiveUtils @@ -36,11 +36,8 @@ md" # ╔═╡ a63de98c-5b35-11eb-0a8f-b7a1ebd441b6 begin - configDGW = [0.2,0.5,1,2,5,10,20,50,100,200,500] - configWTG = [ - sqrt(2),2,2*sqrt(2.5),5,5*sqrt(2),10, - 10*sqrt(2),20,20*sqrt(2.5),50,50*sqrt(2) - ] + configDGW = [0.02,0.05,0.1,0.2,500] + configWTG = [0.1*sqrt(2),0.2,0.2*sqrt(2.5),0.5,0.5*sqrt(2),50*sqrt(2)] nconDGW = length(configDGW) nconWTG = length(configWTG) blues_DGW = pplt.get_colors("Blues",(nconDGW+2)) @@ -53,23 +50,23 @@ end # ╔═╡ 864f1d31-c629-412b-825a-98fe9398b591 begin pplt.close() - fts,ats = pplt.subplots(nrows=3,aspect=3,axwidth=4) + fts,ats = pplt.subplots(nrows=2,aspect=3,axwidth=4) for ic in 1 : nconDGW - fnc = "DGW-P1282km300V64-$(dampingstrprnt(configDGW[ic])).nc" + fnc = "DGW-D1282km300V64-$(dampingstrprnt(configDGW[ic])).nc" ds_dgwprcp = NCDataset(datadir("precipitation",fnc)) - tdgw = ds_dgwprcp["time"][:]; tdgw = reshape(tdgw,24,:) - tdgw = dropdims(mean(tdgw,dims=1),dims=1) - prcpdgw = ds_dgwprcp["precipitation"][:] / 24 + tdgw = ds_dgwprcp["time"][:]; #tdgw = reshape(tdgw,24,:) + # tdgw = dropdims(mean(tdgw,dims=1),dims=1) + prcpdgw = ds_dgwprcp["precipitation"][:,:] / 24 for ien = 1 : 15 prcpii = prcpdgw[:,ien] - prcpii = reshape(prcpii,24,:) - prcpii = dropdims(mean(prcpii,dims=1),dims=1) + # prcpii = reshape(prcpii,24,:) + # prcpii = dropdims(mean(prcpii,dims=1),dims=1) if ien == 1 constr = @sprintf("%.1e",configDGW[ic]) @@ -90,59 +87,59 @@ begin for ic in 1 : nconWTG - fnc = "TGR-P1282km300V64-$(relaxscalestrprnt(configWTG[ic])).nc" - ds_wtgprcp = NCDataset(datadir("precipitation",fnc)) + # fnc = "TGR-P1282km300V64-$(relaxscalestrprnt(configWTG[ic])).nc" + # ds_wtgprcp = NCDataset(datadir("precipitation",fnc)) - twtg = ds_wtgprcp["time"][:]; twtg = reshape(twtg,24,:) - twtg = dropdims(mean(twtg,dims=1),dims=1) - prcpwtg = ds_wtgprcp["precipitation"][:] / 24 + # twtg = ds_wtgprcp["time"][:]; twtg = reshape(twtg,24,:) + # twtg = dropdims(mean(twtg,dims=1),dims=1) + # prcpwtg = ds_wtgprcp["precipitation"][:] / 24 - for ien = 1 : 15 - - prcpii = prcpwtg[:,ien] - prcpii = reshape(prcpii,24,:) - prcpii = dropdims(mean(prcpii,dims=1),dims=1) - - if ien == 1 - constr = @sprintf("%.1e",configWTG[ic]) - ats[2].plot( - twtg,prcpii,color=blues_WTG[ic+1], - label=(L"$\tau =$" * " $(constr) hr"), - legend="r",legend_kw=lgd_WTG - ) - else - ats[2].plot(twtg,prcpii,color=blues_WTG[ic+1]) - end + # for ien = 1 : 15 + + # prcpii = prcpwtg[:,ien] + # prcpii = reshape(prcpii,24,:) + # prcpii = dropdims(mean(prcpii,dims=1),dims=1) + + # if ien == 1 + # constr = @sprintf("%.1e",configWTG[ic]) + # ats[2].plot( + # twtg,prcpii,color=blues_WTG[ic+1], + # label=(L"$\tau =$" * " $(constr) hr"), + # legend="r",legend_kw=lgd_WTG + # ) + # else + # ats[2].plot(twtg,prcpii,color=blues_WTG[ic+1]) + # end - end + # end - close(ds_wtgprcp) + # close(ds_wtgprcp) - fnc = "SPC-P1282km300V64-$(relaxscalestrprnt(configWTG[ic])).nc" + fnc = "SPC-D1282km300V64-$(relaxscalestrprnt(configWTG[ic])).nc" ds_wtgprcp = NCDataset(datadir("precipitation",fnc)) - twtg = ds_wtgprcp["time"][:]; twtg = reshape(twtg,24,:) - twtg = dropdims(mean(twtg,dims=1),dims=1) - prcpwtg = ds_wtgprcp["precipitation"][:] / 24 + twtg = ds_wtgprcp["time"][:]; #twtg = reshape(twtg,24,:) + # twtg = dropdims(mean(twtg,dims=1),dims=1) + prcpwtg = ds_wtgprcp["precipitation"][:,:] / 24 - for ien = 1 : 15 + for ien = 1 : 1 prcpii = prcpwtg[:,ien] - prcpii = reshape(prcpii,24,:) - prcpii = dropdims(mean(prcpii,dims=1),dims=1) + # prcpii = reshape(prcpii,24,:) + # prcpii = dropdims(mean(prcpii,dims=1),dims=1) if ien == 1 constr = @sprintf("%.1e",configWTG[ic]) - ats[3].plot( + ats[2].plot( twtg,prcpii,color=blues_WTG[ic+1], label=(L"$\tau =$" * " $(constr) hr"), legend="r",legend_kw=lgd_WTG ) else - ats[3].plot(twtg,prcpii,color=blues_WTG[ic+1]) + ats[2].plot(twtg,prcpii,color=blues_WTG[ic+1]) end end @@ -153,25 +150,25 @@ begin ds_rceprcp = NCDataset(datadir("precipitation","RCE-P1282km300V64.nc")) - t_RCE = ds_rceprcp["time"][:] - prcp_RCE = ds_rceprcp["precipitation"][:] / 24 - ats[1].plot(t_RCE,prcp_RCE[:,1],c="k",label="RCE",legend="r") - ats[2].plot(t_RCE,prcp_RCE[:,1],c="k",label="RCE",legend="r") - ats[3].plot(t_RCE,prcp_RCE[:,1],c="k",label="RCE",legend="r") - ats[1].plot(t_RCE,prcp_RCE[:,2:10],c="k") - ats[2].plot(t_RCE,prcp_RCE[:,2:10],c="k") - ats[3].plot(t_RCE,prcp_RCE[:,2:10],c="k") + # t_RCE = ds_rceprcp["time"][:] + # prcp_RCE = ds_rceprcp["precipitation"][:] / 24 + # ats[1].plot(t_RCE,prcp_RCE[:,1],c="k",label="RCE",legend="r") + # ats[2].plot(t_RCE,prcp_RCE[:,1],c="k",label="RCE",legend="r") + # ats[3].plot(t_RCE,prcp_RCE[:,1],c="k",label="RCE",legend="r") + # ats[1].plot(t_RCE,prcp_RCE[:,2:10],c="k") + # ats[2].plot(t_RCE,prcp_RCE[:,2:10],c="k") + # ats[3].plot(t_RCE,prcp_RCE[:,2:10],c="k") ats[1].format(ultitle="(a) Damped Gravity Wave") ats[2].format(ultitle="(b) Temperature Gradient Relaxation") - ats[3].format(ultitle="(c) Spectral WTG") + ats[2].format(ultitle="(c) Spectral WTG") close(ds_rceprcp) for ax in ats ax.format( - xlim=(000,250),yscale="symlog",yscale_kw=Dict("linthresh"=>0.1), - ylim=(0,2), + xlim=(0,250),#yscale="symlog",yscale_kw=Dict("linthresh"=>0.1), + ylim=(0,5), ylabel=L"Daily-Averaged Rainfall Rate / mm hr$^{-1}$",xlabel="Days" ) end @@ -180,9 +177,13 @@ begin load(projectdir("figures","figS2-timeseries-P1282km300V64.png")) end +# ╔═╡ 92277ba1-1cd2-4f8a-8587-1f32f04f068b + + # ╔═╡ Cell order: # ╟─e78a75c2-590f-11eb-1144-9127b0309135 # ╟─681658b0-5914-11eb-0d65-bbace277d145 # ╟─6dce35fc-5914-11eb-0ce2-0d4e164e1898 # ╟─a63de98c-5b35-11eb-0a8f-b7a1ebd441b6 -# ╟─864f1d31-c629-412b-825a-98fe9398b591 +# ╠═864f1d31-c629-412b-825a-98fe9398b591 +# ╠═92277ba1-1cd2-4f8a-8587-1f32f04f068b diff --git a/notebooks/FigureS3.jl b/notebooks/FigureS3.jl index 89f2663..b6252c4 100644 --- a/notebooks/FigureS3.jl +++ b/notebooks/FigureS3.jl @@ -1,5 +1,5 @@ ### A Pluto.jl notebook ### -# v0.19.27 +# v0.19.42 using Markdown using InteractiveUtils @@ -36,7 +36,7 @@ md" # ╔═╡ a63de98c-5b35-11eb-0a8f-b7a1ebd441b6 begin - configDGW = [0.02,0.05,0.1,0.2,0.5,1,2,5,10,20,50,100,200,500] + configDGW = [0.02,0.05,0.1,0.2,0.5,1,2,5,100,200,500] configWTG = [ 0.1*sqrt(2),0.2,0.2*sqrt(2.5),0.5,0.5*sqrt(2),1, sqrt(2),2,2*sqrt(2.5),5,5*sqrt(2),10, @@ -54,23 +54,23 @@ end # ╔═╡ 864f1d31-c629-412b-825a-98fe9398b591 begin pplt.close() - fts,ats = pplt.subplots(nrows=3,aspect=3,axwidth=4) + fts,ats = pplt.subplots(nrows=2,aspect=3,axwidth=4) for ic in 1 : nconDGW fnc = "DGW-T1282km300V64-$(dampingstrprnt(configDGW[ic])).nc" ds_dgwprcp = NCDataset(datadir("precipitation",fnc)) - tdgw = ds_dgwprcp["time"][:]; tdgw = reshape(tdgw,24,:) - tdgw = dropdims(mean(tdgw,dims=1),dims=1) - prcpdgw = ds_dgwprcp["precipitation"][:] / 24 + tdgw = ds_dgwprcp["time"][:]; #tdgw = reshape(tdgw,24,:) + # tdgw = dropdims(mean(tdgw,dims=1),dims=1) + prcpdgw = ds_dgwprcp["precipitation"][:,:] / 24 - for ien = 1 : 15 + for ien = 1 : 1 prcpii = prcpdgw[:,ien] - prcpii = reshape(prcpii,24,:) - prcpii = dropdims(mean(prcpii,dims=1),dims=1) + # prcpii = reshape(prcpii,24,:) + # prcpii = dropdims(mean(prcpii,dims=1),dims=1) if ien == 1 constr = @sprintf("%.1e",configDGW[ic]) @@ -91,59 +91,59 @@ begin for ic in 1 : nconWTG - fnc = "TGR-T1282km300V64-$(relaxscalestrprnt(configWTG[ic])).nc" - ds_wtgprcp = NCDataset(datadir("precipitation",fnc)) + # fnc = "TGR-T1282km300V64-$(relaxscalestrprnt(configWTG[ic])).nc" + # ds_wtgprcp = NCDataset(datadir("precipitation",fnc)) - twtg = ds_wtgprcp["time"][:]; twtg = reshape(twtg,24,:) - twtg = dropdims(mean(twtg,dims=1),dims=1) - prcpwtg = ds_wtgprcp["precipitation"][:] / 24 + # twtg = ds_wtgprcp["time"][:]; twtg = reshape(twtg,24,:) + # twtg = dropdims(mean(twtg,dims=1),dims=1) + # prcpwtg = ds_wtgprcp["precipitation"][:] / 24 - for ien = 1 : 15 - - prcpii = prcpwtg[:,ien] - prcpii = reshape(prcpii,24,:) - prcpii = dropdims(mean(prcpii,dims=1),dims=1) - - if ien == 1 - constr = @sprintf("%.1e",configWTG[ic]) - ats[2].plot( - twtg,prcpii,color=blues_WTG[ic+1], - label=(L"$\tau =$" * " $(constr) hr"), - legend="r",legend_kw=lgd_WTG - ) - else - ats[2].plot(twtg,prcpii,color=blues_WTG[ic+1]) - end + # for ien = 1 : 15 + + # prcpii = prcpwtg[:,ien] + # prcpii = reshape(prcpii,24,:) + # prcpii = dropdims(mean(prcpii,dims=1),dims=1) + + # if ien == 1 + # constr = @sprintf("%.1e",configWTG[ic]) + # ats[2].plot( + # twtg,prcpii,color=blues_WTG[ic+1], + # label=(L"$\tau =$" * " $(constr) hr"), + # legend="r",legend_kw=lgd_WTG + # ) + # else + # ats[2].plot(twtg,prcpii,color=blues_WTG[ic+1]) + # end - end + # end - close(ds_wtgprcp) + # close(ds_wtgprcp) fnc = "SPC-T1282km300V64-$(relaxscalestrprnt(configWTG[ic])).nc" ds_wtgprcp = NCDataset(datadir("precipitation",fnc)) - twtg = ds_wtgprcp["time"][:]; twtg = reshape(twtg,24,:) - twtg = dropdims(mean(twtg,dims=1),dims=1) - prcpwtg = ds_wtgprcp["precipitation"][:] / 24 + twtg = ds_wtgprcp["time"][:]; #twtg = reshape(twtg,24,:) + # twtg = dropdims(mean(twtg,dims=1),dims=1) + prcpwtg = ds_wtgprcp["precipitation"][:,:] / 24 - for ien = 1 : 15 + for ien = 1 : 1 prcpii = prcpwtg[:,ien] - prcpii = reshape(prcpii,24,:) - prcpii = dropdims(mean(prcpii,dims=1),dims=1) + # prcpii = reshape(prcpii,24,:) + # prcpii = dropdims(mean(prcpii,dims=1),dims=1) if ien == 1 constr = @sprintf("%.1e",configWTG[ic]) - ats[3].plot( + ats[2].plot( twtg,prcpii,color=blues_WTG[ic+1], label=(L"$\tau =$" * " $(constr) hr"), legend="r",legend_kw=lgd_WTG ) else - ats[3].plot(twtg,prcpii,color=blues_WTG[ic+1]) + ats[2].plot(twtg,prcpii,color=blues_WTG[ic+1]) end end @@ -155,23 +155,23 @@ begin ds_rceprcp = NCDataset(datadir("precipitation","RCE-T1282km300V64.nc")) t_RCE = ds_rceprcp["time"][:] - prcp_RCE = ds_rceprcp["precipitation"][:] / 24 - ats[1].plot(t_RCE,prcp_RCE[:,1],c="k",label="RCE",legend="r") - ats[2].plot(t_RCE,prcp_RCE[:,1],c="k",label="RCE",legend="r") - ats[3].plot(t_RCE,prcp_RCE[:,1],c="k",label="RCE",legend="r") - ats[1].plot(t_RCE,prcp_RCE[:,2:10],c="k") - ats[2].plot(t_RCE,prcp_RCE[:,2:10],c="k") - ats[3].plot(t_RCE,prcp_RCE[:,2:10],c="k") + prcp_RCE = ds_rceprcp["precipitation"][:,:] / 24 + # ats[1].plot(t_RCE,prcp_RCE[:,1],c="k",label="RCE",legend="r") + # ats[2].plot(t_RCE,prcp_RCE[:,1],c="k",label="RCE",legend="r") + # # ats[3].plot(t_RCE,prcp_RCE[:,1],c="k",label="RCE",legend="r") + # ats[1].plot(t_RCE,prcp_RCE[:,2:10],c="k") + # ats[2].plot(t_RCE,prcp_RCE[:,2:10],c="k") + # ats[3].plot(t_RCE,prcp_RCE[:,2:10],c="k") ats[1].format(ultitle="(a) Damped Gravity Wave") - ats[2].format(ultitle="(b) Temperature Gradient Relaxation") - ats[3].format(ultitle="(c) Spectral WTG") + # ats[2].format(ultitle="(b) Temperature Gradient Relaxation") + ats[2].format(ultitle="(b) Spectral WTG") close(ds_rceprcp) for ax in ats ax.format( - xlim=(000,250),#yscale="symlog",yscale_kw=Dict("linthresh"=>0.01), + xlim=(225,250),#yscale="symlog",yscale_kw=Dict("linthresh"=>0.01), ylim=(0,0.6), ylabel=L"Daily-Averaged Rainfall Rate / mm hr$^{-1}$",xlabel="Days" ) @@ -185,5 +185,5 @@ end # ╟─e78a75c2-590f-11eb-1144-9127b0309135 # ╟─681658b0-5914-11eb-0d65-bbace277d145 # ╟─6dce35fc-5914-11eb-0ce2-0d4e164e1898 -# ╟─a63de98c-5b35-11eb-0a8f-b7a1ebd441b6 -# ╟─864f1d31-c629-412b-825a-98fe9398b591 +# ╠═a63de98c-5b35-11eb-0a8f-b7a1ebd441b6 +# ╠═864f1d31-c629-412b-825a-98fe9398b591