1 |
gforget |
1.1 |
|
2 |
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domaine_global_def; domaine; |
3 |
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mask=squeeze(tmask3D(:,:,1)); recl=jpi*jpj*4; |
4 |
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5 |
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choice_plot=0; |
6 |
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rep_out='./'; |
7 |
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8 |
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%choiceBulkParam: |
9 |
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%1->LY 2->COARE 3->LY/NCEP 4-> LY/ECMWF |
10 |
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%choiceDataSet: |
11 |
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%1->NCEP 2->ECMWF 3-> CORE (LY) |
12 |
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13 |
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list_kcur=[1:5]; |
14 |
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for kcur=list_kcur |
15 |
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switch kcur |
16 |
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%main set |
17 |
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case 1 |
18 |
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choiceDataSet=1; choiceBulkParam=1; ycur0=1992; ycurMax=2006; |
19 |
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case 2 |
20 |
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choiceDataSet=2; choiceBulkParam=1; ycur0=1992; ycurMax=2006; |
21 |
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case 3 |
22 |
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choiceDataSet=3; choiceBulkParam=1; ycur0=1992; ycurMax=2006; |
23 |
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case 4 |
24 |
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choiceDataSet=1; choiceBulkParam=2; ycur0=1992; ycurMax=2006; |
25 |
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case 5 |
26 |
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choiceDataSet=1; choiceBulkParam=3; ycur0=1992; ycurMax=2006; |
27 |
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end |
28 |
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29 |
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30 |
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if choiceDataSet==1; data_cur='.ncep.'; data_heights=[10 2 2]; albedo=0.14; |
31 |
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elseif choiceDataSet==2; data_cur='.ecmwf.'; data_heights=[10 2 2]; albedo=0.05; |
32 |
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else data_cur='.core.'; data_heights=[10 10 10]; albedo=0.1; |
33 |
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end |
34 |
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35 |
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if choiceBulkParam==1 |
36 |
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suff_bulk='LY.'; fprintf([data_cur ' LY standard \n']); |
37 |
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elseif choiceBulkParam==2 |
38 |
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suff_bulk='coare.'; fprintf([data_cur ' COARE standard \n']); |
39 |
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elseif choiceBulkParam==3 |
40 |
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dragCur=1.4/1000; suff_bulk='LY4ncep.'; fprintf([data_cur ' LY with NCEP CST DRAG coeff \n']); |
41 |
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elseif choiceBulkParam==4 |
42 |
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dragCur=1.4/1000; suff_bulk='LY4ecmwf.'; fprintf([data_cur ' LY with ECMWF CST DRAG coeff \n']); |
43 |
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end |
44 |
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45 |
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cen2kel=273.15; |
46 |
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rhoConstFresh=999.8; |
47 |
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stefanBoltzmann = 5.670e-8; |
48 |
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ocean_emissivity=5.50e-8 / 5.670e-8; |
49 |
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|
50 |
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fid_runoff=fopen('/net/ross/raid0/gforget/DATAbin/forcing/CORE/runoffannual1x1','r','b'); |
51 |
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runoff=fread(fid_runoff,[jpi jpj],'float32').*mask; |
52 |
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fclose(fid_runoff); |
53 |
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54 |
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%SST and ICE data: |
55 |
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fid_sst=fopen('/net/ross/raid0/gforget/DATAbin/ICECONC/HADLEY/HadISST1_SST_9206_monthly','r','b'); |
56 |
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field_sst=fread(fid_sst,jpi*jpj*12,'float32'); fclose(fid_sst); field_sst=reshape(field_sst,jpi,jpj,12); |
57 |
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fid_ice=fopen('/net/ross/raid0/gforget/DATAbin/ICECONC/HADLEY/HadISST1_ICE_9206_monthly','r','b'); |
58 |
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field_ice=fread(fid_ice,jpi*jpj*12,'float32'); fclose(fid_ice); field_ice=reshape(field_ice,jpi,jpj,12); |
59 |
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|
60 |
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%for interannual sst: |
61 |
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rep_sst='/net/ross/raid2/king/data_1x1_92-03/obs/'; pref_sst='SST_monthly_r2_'; suff_sst=''; |
62 |
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63 |
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64 |
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65 |
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for ycur=ycur0:ycurMax |
66 |
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67 |
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suff_out=[data_cur suff_bulk num2str(ycur) '.daily.bin']; list_tcur=[1:365]; |
68 |
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doInitFiles=1; doWriteMean=0; |
69 |
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70 |
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for tcur=list_tcur |
71 |
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72 |
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for ttcur=1:4 |
73 |
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|
74 |
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hcur=(tcur-1)*4+ttcur; |
75 |
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|
76 |
|
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%part a: load fields |
77 |
|
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if choiceDataSet==1; [dataFlds]=ncep_load_fields(ycur,hcur); |
78 |
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elseif choiceDataSet==2; [dataFlds]=ecmwf_load_fields(ycur,hcur); |
79 |
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else; [dataFlds]=core_load_fields(ycur,hcur); |
80 |
|
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end; |
81 |
|
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|
82 |
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%part b: time interpolate sst and ice fields from monthly atlas |
83 |
|
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[mcur,mcurW]=coeff_MonthlyAtlasInterp(tcur); |
84 |
|
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sst=(1-mcurW)*field_sst(:,:,mcur(1))+mcurW*field_sst(:,:,mcur(2)); |
85 |
|
|
ice=(1-mcurW)*field_ice(:,:,mcur(1))+mcurW*field_ice(:,:,mcur(2)); |
86 |
|
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sst=sst.*mask; ice=ice.*mask; |
87 |
|
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|
88 |
|
|
%for interannual sst: |
89 |
|
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sstAtlas=sst; |
90 |
|
|
[sst]=sst_load_field(rep_sst,suff_sst,pref_sst,ycur,hcur); |
91 |
|
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sst(find(isnan(sst)))=sstAtlas(find(isnan(sst))); |
92 |
|
|
|
93 |
|
|
%part c: complete data structure: |
94 |
|
|
dataFlds=setfield(dataFlds,'sst',sst); |
95 |
|
|
dataFlds=setfield(dataFlds,'ice',ice); |
96 |
|
|
dataFlds=setfield(dataFlds,'runoff',runoff); |
97 |
|
|
|
98 |
|
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|
99 |
|
|
%part 1: bulk formulae |
100 |
|
|
|
101 |
|
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if choiceBulkParam==1; [bulkFlds]=exf_bulk_largeyeager04(dataFlds,data_heights); |
102 |
|
|
elseif choiceBulkParam==2; [bulkFlds]=gmaze_bulk_coare(dataFlds,data_heights,albedo); |
103 |
|
|
else; [bulkFlds]=exf_bulk_largeyeager04(dataFlds,data_heights,dragCur); |
104 |
|
|
end; |
105 |
|
|
|
106 |
|
|
%[bulkFlds]=gfdl_largeyeager04(dataFlds); |
107 |
|
|
|
108 |
|
|
|
109 |
|
|
%part 2: net fluxes |
110 |
|
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|
111 |
|
|
%-- Compute net from downward and downward from net longwave and |
112 |
|
|
% shortwave radiation, if needed. |
113 |
|
|
% lwflux = Stefan-Boltzmann constant * emissivity * SST - lwdown |
114 |
|
|
% swflux = - ( 1 - albedo ) * swdown |
115 |
|
|
lwflux=stefanBoltzmann*ocean_emissivity*((dataFlds.sst+cen2kel).^4)-dataFlds.lwdn; |
116 |
|
|
swflux=-(1-albedo)*dataFlds.swdn; |
117 |
|
|
% Net surface heat flux. |
118 |
|
|
% qnet = ( - hs - hl + lwflux + swflux ); |
119 |
|
|
qnet = (1-dataFlds.ice).*( - bulkFlds.hs - bulkFlds.hl + lwflux + swflux ); |
120 |
|
|
% Salt flux from Precipitation and Evaporation. |
121 |
|
|
% empmr = ( evap - precip - runoff ); |
122 |
|
|
evap=bulkFlds.evap*rhoConstFresh; %m/s->kg/m^2/s |
123 |
|
|
empmr = (1-dataFlds.ice).*( evap - dataFlds.precip ) - dataFlds.runoff; |
124 |
|
|
% put in structure as well: |
125 |
|
|
netFlds=struct('lwflux',lwflux,'swflux',swflux,'qnet',qnet,'empmr',empmr); |
126 |
|
|
|
127 |
|
|
%part 3: time average |
128 |
|
|
swflux = (1-dataFlds.ice).*( swflux ); turbflux = (1-dataFlds.ice).*( - bulkFlds.hs - bulkFlds.hl + lwflux ); |
129 |
|
|
writeFlds=struct('ustress',bulkFlds.ustress,'vstress',bulkFlds.vstress,'qnet',netFlds.qnet,'empmr',netFlds.empmr,'turbflux',turbflux,'swflux',swflux,'precip',dataFlds.precip); |
130 |
|
|
|
131 |
|
|
averagesFields(doInitFiles,doWriteMean,rep_out,suff_out,writeFlds); |
132 |
|
|
doInitFiles=0; |
133 |
|
|
|
134 |
|
|
%part 4: plot results |
135 |
|
|
if choice_plot==1; fig0=(choiceDataSet-1)*3; |
136 |
|
|
%sign conventions are not the same in exf and largyeager ... I use largeyeager |
137 |
|
|
%convention for plot, positive=into the ocean |
138 |
|
|
figure(fig0+1); |
139 |
|
|
subplot(2,2,1); pcolor(lon2D_t,lat2D_t,bulkFlds.ustress); shading flat; caxis([-1 1]*0.2); colorbar; |
140 |
|
|
subplot(2,2,2); pcolor(lon2D_t,lat2D_t,bulkFlds.vstress); shading flat; caxis([-1 1]*0.1); colorbar; |
141 |
|
|
subplot(2,2,3); pcolor(lon2D_t,lat2D_t,-qnet); shading flat; caxis([-1 1]*200); colorbar; |
142 |
|
|
subplot(2,2,4); pcolor(lon2D_t,lat2D_t,-empmr); shading flat; caxis([-1 1]*1e-4); colorbar; |
143 |
|
|
figure(fig0+2); |
144 |
|
|
subplot(2,2,1); pcolor(lon2D_t,lat2D_t,-swflux); shading flat; caxis([-1 1]*300); colorbar; |
145 |
|
|
subplot(2,2,2); pcolor(lon2D_t,lat2D_t,-lwflux); shading flat; caxis([-1 1]*100); colorbar; |
146 |
|
|
subplot(2,2,3); pcolor(lon2D_t,lat2D_t,bulkFlds.hl); shading flat; caxis([-1 0.5]*200); colorbar; |
147 |
|
|
subplot(2,2,4); pcolor(lon2D_t,lat2D_t,bulkFlds.hs); shading flat; caxis([-1 1]*50); colorbar; |
148 |
|
|
figure(fig0+3); |
149 |
|
|
subplot(3,1,1); pcolor(lon2D_t,lat2D_t,dataFlds.precip); shading flat; caxis([-1 1]*1e-4); colorbar; |
150 |
|
|
subplot(3,1,2); pcolor(lon2D_t,lat2D_t,-evap); shading flat; caxis([-1 1]*1e-4); colorbar; |
151 |
|
|
subplot(3,1,3); pcolor(lon2D_t,lat2D_t,dataFlds.runoff); shading flat; caxis([-1 1]*1e-4); colorbar; |
152 |
|
|
return; |
153 |
|
|
end%if choice_plot==1 |
154 |
|
|
|
155 |
|
|
end%for ttcur=1:4 |
156 |
|
|
doWriteMean=1; |
157 |
|
|
averagesFields(doInitFiles,doWriteMean,rep_out,suff_out,writeFlds); |
158 |
|
|
doWriteMean=0; |
159 |
|
|
end%for tcur=1:365 |
160 |
|
|
|
161 |
|
|
doInitFiles=-1; doWriteMean=0; |
162 |
|
|
averagesFields(doInitFiles,doWriteMean,rep_out,suff_out,writeFlds); |
163 |
|
|
|
164 |
|
|
end%for ycur=ycur0:ycurMax |
165 |
|
|
end%for kcur=1:3 |
166 |
|
|
|
167 |
|
|
|