| 1 |
function []=cost_altimeter(dirModel,dirMat); |
| 2 |
%object: compute or plot the various sea level statistics |
| 3 |
% (std model-obs, model, obs, leading to cost function terms) |
| 4 |
%inputs: dirModel is the model run directory |
| 5 |
% dirMat is the directory where diagnozed .mat files will be saved |
| 6 |
% -> set it to '' to use the default [dirModel 'mat/'] |
| 7 |
% doComp is the switch from computation to plot |
| 8 |
|
| 9 |
doComp=1; |
| 10 |
if doComp==1; |
| 11 |
doSave=1; |
| 12 |
doPlot=0; |
| 13 |
else; |
| 14 |
doSave=0; |
| 15 |
doPlot=1; |
| 16 |
end; |
| 17 |
doPrint=0; |
| 18 |
|
| 19 |
%%%%%%%%%%% |
| 20 |
%load grid: |
| 21 |
%%%%%%%%%%% |
| 22 |
|
| 23 |
gcmfaces_global; |
| 24 |
if ~isfield(mygrid,'XC'); grid_load('./GRID/',5,'compact'); end; |
| 25 |
if ~isfield(mygrid,'LATS_MASKS'); gcmfaces_lines_zonal; end; |
| 26 |
|
| 27 |
%%%%%%%%%%%%%%% |
| 28 |
%define pathes: |
| 29 |
%%%%%%%%%%%%%%% |
| 30 |
|
| 31 |
%search for nctiles files |
| 32 |
useNctiles=0; |
| 33 |
dirNctiles=[dirModel 'nctiles_remotesensing/sealevel/']; |
| 34 |
if ~isempty(dir(dirNctiles)); useNctiles=1; end; |
| 35 |
|
| 36 |
nameSigma={'sigma_MDT_glob_eccollc.bin','slaerr_largescale_r5.err','slaerr_gridscale_r5.err'}; maxLatObs=90 |
| 37 |
|
| 38 |
dirSigma=dirModel; |
| 39 |
if ~isempty(dir([dirModel 'inputfiles/' nameSigma{1}])); |
| 40 |
dirSigma=[dirModel 'inputfiles/']; |
| 41 |
end; |
| 42 |
|
| 43 |
dirEcco=dirModel; |
| 44 |
if ~isempty(dir([dirModel 'barfiles'])); |
| 45 |
dirEcco=[dirModel 'barfiles' filesep]; |
| 46 |
end; |
| 47 |
|
| 48 |
if isempty(dirMat); dirMat=[dirModel 'mat/']; else; dirMat=[dirMat '/']; end; |
| 49 |
if isempty(dir(dirMat)); mkdir([dirMat]); end; |
| 50 |
if ~isdir([dirMat 'cost/']); mkdir([dirMat 'cost/']); end; |
| 51 |
runName=pwd; tmp1=strfind(runName,filesep); runName=runName(tmp1(end)+1:end); |
| 52 |
|
| 53 |
%%%%%%%%%%%%%%%%% |
| 54 |
%global means: |
| 55 |
%%%%%%%%%%%%%%%%% |
| 56 |
|
| 57 |
tmpName=dir([dirEcco 'm_eta_day*data']); |
| 58 |
avisoName=which('MSL_aviso.bin'); |
| 59 |
if length(tmpName)==1&~isempty(avisoName); |
| 60 |
m_eta_day=rdmds2gcmfaces([dirEcco tmpName.name(1:end-5)]); |
| 61 |
avisoName=which('MSL_aviso.bin'); |
| 62 |
etaglo_aviso=read2memory(avisoName)'; |
| 63 |
%global mean |
| 64 |
nt=size(m_eta_day{1},3); etaglo=NaN*zeros(1,nt); |
| 65 |
area=mygrid.mskC(:,:,1).*mygrid.RAC; areatot=nansum(area); |
| 66 |
for tt=1:nt; |
| 67 |
etaglo(tt)=nansum(area.*m_eta_day(:,:,tt))/areatot; |
| 68 |
end; |
| 69 |
%monthly mean |
| 70 |
etaglo_mon=NaN*zeros(1,240); |
| 71 |
etaglo_aviso_mon=NaN*zeros(1,240); |
| 72 |
etadate=datenum([1992 1 1 12 0 0])+[1:nt]-1; |
| 73 |
for mm=1:240; |
| 74 |
t0=datenum([1992 1+(mm-1) 1 0 0 0]); |
| 75 |
t1=datenum([1992 1+mm 1 0 0 0]); |
| 76 |
tt=find(etadate>t0&etadate<t1); |
| 77 |
etaglo_mon(mm)=mean(etaglo(tt)); |
| 78 |
etaglo_aviso_mon(mm)=mean(etaglo_aviso(tt)); |
| 79 |
end; |
| 80 |
% |
| 81 |
if doSave; eval(['save ' dirMat 'cost/cost_altimeter_etaglo.mat etaglo*;']); end; |
| 82 |
end; |
| 83 |
|
| 84 |
%%%%%%%%%%%%%%%%% |
| 85 |
%uncertainties: |
| 86 |
%%%%%%%%%%%%%%%%% |
| 87 |
|
| 88 |
sig_mdt=NaN*mygrid.RAC; |
| 89 |
file0=[dirSigma nameSigma{1}]; |
| 90 |
if ~isempty(dir(file0)); sig_mdt=read_bin(file0,1,0); end; |
| 91 |
%missing field: |
| 92 |
%if useNctiles; sig_mdt=read_nctiles([dirNctiles 'sealevel'],'mdt_sigma'); end; |
| 93 |
|
| 94 |
sig_sladiff_smooth=NaN*mygrid.RAC; |
| 95 |
file0=[dirSigma nameSigma{2}]; |
| 96 |
if ~isempty(dir(file0)); sig_sladiff_smooth=read_bin(file0,1,0); end; |
| 97 |
if useNctiles; sig_sladiff_smooth=read_nctiles([dirNctiles 'sealevel'],'lsc_sigma_r5'); end; |
| 98 |
|
| 99 |
sig_sladiff_point=NaN*mygrid.RAC; |
| 100 |
file0=[dirSigma nameSigma{3}]; |
| 101 |
if ~isempty(dir(file0)); sig_sladiff_point=read_bin(file0,1,0); end; |
| 102 |
if useNctiles; sig_sladiff_point=read_nctiles([dirNctiles 'sealevel'],'point_sigma_r5'); end; |
| 103 |
|
| 104 |
sig_mdt(find(sig_mdt==0))=NaN; |
| 105 |
sig_sladiff_point(find(sig_sladiff_point==0))=NaN; |
| 106 |
sig_sladiff_smooth(find(sig_sladiff_smooth==0))=NaN; |
| 107 |
|
| 108 |
myflds.sig_mdt=sig_mdt; |
| 109 |
myflds.sig_sladiff_point=sig_sladiff_point; |
| 110 |
myflds.sig_sladiff_smooth=sig_sladiff_smooth; |
| 111 |
|
| 112 |
fprintf('done with init\n'); |
| 113 |
|
| 114 |
%%%%%%%%%%%%%%%%% |
| 115 |
%do computations: |
| 116 |
%%%%%%%%%%%%%%%%% |
| 117 |
|
| 118 |
for doDifObsOrMod=1:3; |
| 119 |
|
| 120 |
if doDifObsOrMod==1; suf='modMobs'; elseif doDifObsOrMod==2; suf='obs'; else; suf='mod'; end; |
| 121 |
|
| 122 |
if doComp==0; |
| 123 |
eval(['load ' dirMat 'cost/cost_altimeter_' suf '.mat myflds;']); |
| 124 |
else; |
| 125 |
|
| 126 |
%mdt cost function term (misfit plot) |
| 127 |
dif_mdt=NaN*mygrid.RAC; |
| 128 |
file0=[dirEcco 'mdtdiff_smooth.data']; |
| 129 |
if ~isempty(dir(file0)); dif_mdt=read_bin(file0,1,0); end; |
| 130 |
if useNctiles; dif_mdt=read_nctiles([dirNctiles 'sealevel'],'mdt_misfit'); end; |
| 131 |
% |
| 132 |
myflds.dif_mdt=dif_mdt; |
| 133 |
|
| 134 |
fprintf('done with mdt\n'); |
| 135 |
|
| 136 |
if ~useNctiles; |
| 137 |
%skip blanks: |
| 138 |
tmp1=dir([dirEcco 'sladiff_smooth*data']); |
| 139 |
nrec=tmp1.bytes/90/1170/4; |
| 140 |
ttShift=17; |
| 141 |
%skip 1992 |
| 142 |
listRecs=[1+365-ttShift:17+365*18-ttShift]; |
| 143 |
nRecs=length(listRecs); TT=1993+[0:nRecs-1]/365.25; |
| 144 |
|
| 145 |
tic; |
| 146 |
%pre-load lsc cost function term to add it back to pointwise/1day terms: |
| 147 |
if doDifObsOrMod==1; |
| 148 |
sladiff_smooth=cost_altimeter_read([dirEcco 'sladiff_smooth'],listRecs); |
| 149 |
elseif doDifObsOrMod==2; |
| 150 |
sladiff_smooth=cost_altimeter_read([dirEcco 'slaobs_smooth'],listRecs); |
| 151 |
else; |
| 152 |
sladiff_smooth=cost_altimeter_read([dirEcco 'sladiff_smooth'],listRecs); |
| 153 |
sladiff_smooth=sladiff_smooth+cost_altimeter_read([dirEcco 'slaobs_smooth'],listRecs); |
| 154 |
end; |
| 155 |
toc; |
| 156 |
end;%if ~useNctiles; |
| 157 |
|
| 158 |
if useNctiles; |
| 159 |
if doDifObsOrMod==1; |
| 160 |
sladiff_smooth=read_nctiles([dirNctiles 'sealevel'],'lsc_misfit'); |
| 161 |
elseif doDifObsOrMod==2; |
| 162 |
sladiff_smooth=read_nctiles([dirNctiles 'sealevel'],'lsc_sla'); |
| 163 |
else; |
| 164 |
sladiff_smooth=read_nctiles([dirNctiles 'sealevel'],'lsc_misfit'); |
| 165 |
sladiff_smooth=sladiff_smooth+read_nctiles([dirNctiles 'sealevel'],'lsc_sla'); |
| 166 |
end; |
| 167 |
nRecs=size(sladiff_smooth{1},3); |
| 168 |
TT=1992+[0:nRecs-1]/365.25; |
| 169 |
end; |
| 170 |
|
| 171 |
fprintf('done with lsc\n'); |
| 172 |
|
| 173 |
%pointwise/1day terms: |
| 174 |
sladiff_point=repmat(0*mygrid.RAC,[1 1 nRecs]); count_point=sladiff_point; |
| 175 |
for ii=1:3; |
| 176 |
if ii==1; myset='tp'; elseif ii==2; myset='gfo'; else; myset='ers'; end; |
| 177 |
%topex pointwise misfits: |
| 178 |
if ~useNctiles; |
| 179 |
if doDifObsOrMod==1; |
| 180 |
sladiff_tmp=cost_altimeter_read([dirEcco 'sladiff_' myset '_raw'],ttShift+listRecs); |
| 181 |
elseif doDifObsOrMod==2; |
| 182 |
sladiff_tmp=cost_altimeter_read([dirEcco 'slaobs_' myset '_raw'],ttShift+listRecs); |
| 183 |
else; |
| 184 |
sladiff_tmp=cost_altimeter_read([dirEcco 'sladiff_' myset '_raw'],ttShift+listRecs); |
| 185 |
sladiff_tmp=sladiff_tmp+cost_altimeter_read([dirEcco 'slaobs_' myset '_raw'],ttShift+listRecs); |
| 186 |
end; |
| 187 |
%add back the smoothed values that has been subtracted in cost_gencost_sshv4 |
| 188 |
sladiff_smooth_tmp=sladiff_smooth; |
| 189 |
sladiff_smooth_tmp(sladiff_tmp==0)=0; |
| 190 |
sladiff_tmp=sladiff_tmp+sladiff_smooth_tmp; |
| 191 |
end;%if ~useNctiles; |
| 192 |
|
| 193 |
if useNctiles; |
| 194 |
if doDifObsOrMod==1; |
| 195 |
sladiff_tmp=read_nctiles([dirNctiles 'sealevel'],[myset '_misfit']); |
| 196 |
elseif doDifObsOrMod==2; |
| 197 |
sladiff_tmp=read_nctiles([dirNctiles 'sealevel'],[myset '_sla']); |
| 198 |
else; |
| 199 |
sladiff_tmp=read_nctiles([dirNctiles 'sealevel'],[myset '_misfit']); |
| 200 |
sladiff_tmp=sladiff_tmp+read_nctiles([dirNctiles 'sealevel'],[myset '_sla']); |
| 201 |
end; |
| 202 |
sladiff_tmp(isnan(sladiff_tmp))=0; |
| 203 |
end; |
| 204 |
|
| 205 |
%add to overall data set: |
| 206 |
sladiff_point=sladiff_point+sladiff_tmp; count_point=count_point+(sladiff_tmp~=0); |
| 207 |
%finalize data set: |
| 208 |
sladiff_tmp(sladiff_tmp==0)=NaN; |
| 209 |
%compute rms: |
| 210 |
count_tmp=sum(~isnan(sladiff_tmp),3); count_tmp(find(count_tmp<10))=NaN; msk_tmp=1+0*count_tmp; |
| 211 |
eval(['myflds.rms_' myset '=sqrt(nansum(sladiff_tmp.^2,3)./count_tmp);']); |
| 212 |
eval(['myflds.std_' myset '=nanstd(sladiff_tmp,0,3).*msk_tmp;']); |
| 213 |
end; |
| 214 |
|
| 215 |
fprintf('done with point\n'); |
| 216 |
|
| 217 |
%finalize overall data set: |
| 218 |
count_point(count_point==0)=NaN; |
| 219 |
sladiff_point=sladiff_point./count_point; |
| 220 |
%compute overall rms,std: |
| 221 |
count_tmp=sum(~isnan(sladiff_point),3); count_tmp(find(count_tmp<10))=NaN; msk_tmp=1+0*count_tmp; |
| 222 |
myflds.rms_sladiff_point=sqrt(nansum(sladiff_point.^2,3)./count_tmp); |
| 223 |
myflds.std_sladiff_point=nanstd(sladiff_point,0,3).*msk_tmp; |
| 224 |
% |
| 225 |
msk_point=1*(count_point>0); |
| 226 |
%fill blanks: |
| 227 |
warning('off','MATLAB:divideByZero'); |
| 228 |
msk=mygrid.mskC(:,:,1); msk(find(abs(mygrid.YC)>maxLatObs))=NaN; |
| 229 |
myflds.xtrp_rms_sladiff_point=diffsmooth2D_extrap_inv(myflds.rms_sladiff_point,msk); |
| 230 |
myflds.xtrp_std_sladiff_point=diffsmooth2D_extrap_inv(myflds.std_sladiff_point,msk); |
| 231 |
warning('on','MATLAB:divideByZero'); |
| 232 |
|
| 233 |
if ~useNctiles; |
| 234 |
%computational mask : only points that were actually observed, and in 35d average |
| 235 |
msk_point35d=cost_altimeter_read([dirEcco 'sladiff_raw'],listRecs); |
| 236 |
msk_point35d=1*(msk_point35d~=0); |
| 237 |
tmp1=sum(msk_point35d==0&msk_point~=0); |
| 238 |
tmp2=sum(msk_point35d~=0&msk_point~=0); |
| 239 |
fprintf('after masking : %d omitted, %d retained \n',tmp1,tmp2); |
| 240 |
msk_point=msk_point.*msk_point35d; |
| 241 |
end;%if ~useNctiles; |
| 242 |
|
| 243 |
%plotting mask : regions of less than 100 observations are omitted |
| 244 |
msk_point(msk_point==0)=NaN; |
| 245 |
msk_100pts=1*(nansum(msk_point,3)>=100); |
| 246 |
msk_100pts(msk_100pts==0)=NaN; |
| 247 |
%store |
| 248 |
myflds.msk_100pts=msk_100pts; |
| 249 |
|
| 250 |
fprintf('done with msk100\n'); |
| 251 |
|
| 252 |
if ~useNctiles; |
| 253 |
tic; |
| 254 |
%lsc cost function term: |
| 255 |
if doDifObsOrMod==1; |
| 256 |
sladiff_smooth=cost_altimeter_read([dirEcco 'sladiff_smooth'],listRecs); |
| 257 |
elseif doDifObsOrMod==2; |
| 258 |
sladiff_smooth=cost_altimeter_read([dirEcco 'slaobs_smooth'],listRecs); |
| 259 |
else; |
| 260 |
sladiff_smooth=cost_altimeter_read([dirEcco 'sladiff_smooth'],listRecs); |
| 261 |
sladiff_smooth=sladiff_smooth+cost_altimeter_read([dirEcco 'slaobs_smooth'],listRecs); |
| 262 |
end; |
| 263 |
%mask missing points: |
| 264 |
sladiff_smooth(sladiff_smooth==0)=NaN; |
| 265 |
sladiff_smooth=sladiff_smooth.*msk_point; |
| 266 |
count_tmp=sum(~isnan(sladiff_smooth),3); count_tmp(find(count_tmp<10))=NaN; msk_tmp=1+0*count_tmp; |
| 267 |
%compute rms: |
| 268 |
rms_sladiff_smooth=msk_tmp.*sqrt(nanmean(sladiff_smooth.^2,3)); |
| 269 |
std_sladiff_smooth=msk_tmp.*nanstd(sladiff_smooth,0,3); |
| 270 |
toc; |
| 271 |
end;%if ~useNctiles; |
| 272 |
|
| 273 |
if useNctiles; |
| 274 |
rms_sladiff_smooth=sqrt(nanmean(sladiff_smooth.^2,3)); |
| 275 |
std_sladiff_smooth=nanstd(sladiff_smooth,0,3); |
| 276 |
end; |
| 277 |
|
| 278 |
%store: |
| 279 |
myflds.rms_sladiff_smooth=rms_sladiff_smooth; |
| 280 |
myflds.std_sladiff_smooth=std_sladiff_smooth; |
| 281 |
|
| 282 |
fprintf('done with rms\n'); |
| 283 |
|
| 284 |
if ~useNctiles; |
| 285 |
tic; |
| 286 |
%pointwise/point35days cost function term: |
| 287 |
if doDifObsOrMod==1; |
| 288 |
sladiff_point35d=cost_altimeter_read([dirEcco 'sladiff_raw'],listRecs); |
| 289 |
elseif doDifObsOrMod==2; |
| 290 |
sladiff_point35d=cost_altimeter_read([dirEcco 'slaobs_raw'],listRecs); |
| 291 |
else; |
| 292 |
sladiff_point35d=cost_altimeter_read([dirEcco 'sladiff_raw'],listRecs); |
| 293 |
sladiff_point35d=sladiff_point35d+cost_altimeter_read([dirEcco 'slaobs_raw'],listRecs); |
| 294 |
end; |
| 295 |
%mask missing points: |
| 296 |
sladiff_point35d(sladiff_point35d==0)=NaN; |
| 297 |
sladiff_point35d=sladiff_point35d.*msk_point; |
| 298 |
count_tmp=sum(~isnan(sladiff_point35d),3); count_tmp(find(count_tmp<10))=NaN; msk_tmp=1+0*count_tmp; |
| 299 |
%compute rms: |
| 300 |
rms_sladiff_point35d=msk_tmp.*sqrt(nanmean(sladiff_point35d.^2,3)); |
| 301 |
std_sladiff_point35d=msk_tmp.*nanstd(sladiff_point35d,0,3); |
| 302 |
%store: |
| 303 |
myflds.rms_sladiff_point35d=rms_sladiff_point35d; |
| 304 |
myflds.std_sladiff_point35d=std_sladiff_point35d; |
| 305 |
|
| 306 |
if 0; |
| 307 |
%difference between scales |
| 308 |
rms_sladiff_35dMsmooth=msk_tmp.*sqrt(nanmean((sladiff_point35d-sladiff_smooth).^2,3)); |
| 309 |
std_sladiff_35dMsmooth=msk_tmp.*nanstd((sladiff_point35d-sladiff_smooth),0,3); |
| 310 |
%store: |
| 311 |
myflds.rms_sladiff_35dMsmooth=rms_sladiff_35dMsmooth; |
| 312 |
myflds.std_sladiff_35dMsmooth=std_sladiff_35dMsmooth; |
| 313 |
|
| 314 |
%difference between scales |
| 315 |
rms_sladiff_pointMpoint35d=msk_tmp.*sqrt(nanmean((sladiff_point-sladiff_point35d).^2,3)); |
| 316 |
std_sladiff_pointMpoint35d=msk_tmp.*nanstd((sladiff_point-sladiff_point35d),0,3); |
| 317 |
%store: |
| 318 |
myflds.rms_sladiff_pointMpoint35d=rms_sladiff_pointMpoint35d; |
| 319 |
myflds.std_sladiff_pointMpoint35d=std_sladiff_pointMpoint35d; |
| 320 |
end; |
| 321 |
toc; |
| 322 |
end;%if ~useNctiles; |
| 323 |
|
| 324 |
if useNctiles; |
| 325 |
%store: |
| 326 |
myflds.rms_sladiff_point35d=NaN*rms_sladiff_smooth; |
| 327 |
myflds.std_sladiff_point35d=NaN*std_sladiff_smooth; |
| 328 |
end; |
| 329 |
|
| 330 |
%compute zonal mean/median: |
| 331 |
for ii=1:4; |
| 332 |
switch ii; |
| 333 |
case 1; tmp1='mdt'; cost_fld=(mygrid.mskC(:,:,1).*myflds.dif_mdt./myflds.sig_mdt).^2; |
| 334 |
case 2; tmp1='lsc'; cost_fld=(mygrid.mskC(:,:,1).*myflds.rms_sladiff_smooth./myflds.sig_sladiff_smooth).^2; |
| 335 |
case 3; tmp1='point35d'; cost_fld=(mygrid.mskC(:,:,1).*myflds.rms_sladiff_point35d./myflds.sig_sladiff_point).^2; |
| 336 |
case 4; tmp1='point'; cost_fld=(mygrid.mskC(:,:,1).*myflds.rms_sladiff_point./myflds.sig_sladiff_point).^2; |
| 337 |
end; |
| 338 |
cost_zmean=calc_zonmean_T(cost_fld); eval(['mycosts_mean.' tmp1 '=cost_zmean;']); |
| 339 |
cost_zmedian=calc_zonmedian_T(cost_fld); eval(['mycosts_median.' tmp1 '=cost_zmedian;']); |
| 340 |
end; |
| 341 |
|
| 342 |
fprintf(['done with ' suf '\n']); |
| 343 |
|
| 344 |
%write to disk: |
| 345 |
if doSave; eval(['save ' dirMat 'cost/cost_altimeter_' suf '.mat myflds mycosts_mean mycosts_median;']); end; |
| 346 |
|
| 347 |
end;%if doComp |
| 348 |
|
| 349 |
if doPlot; |
| 350 |
cc=[-0.4:0.05:-0.25 -0.2:0.03:-0.05 -0.03:0.01:0.03 0.05:0.03:0.2 0.25:0.05:0.4]; |
| 351 |
figure; m_map_gcmfaces(myflds.dif_mdt,0,{'myCaxis',cc}); drawnow; |
| 352 |
cc=[0:0.005:0.02 0.03:0.01:0.05 0.06:0.02:0.1 0.14:0.03:0.2 0.25:0.05:0.4]; |
| 353 |
figure; m_map_gcmfaces(myflds.rms_sladiff_smooth,0,{'myCaxis',cc}); drawnow; |
| 354 |
figure; m_map_gcmfaces(myflds.rms_sladiff_point35d,0,{'myCaxis',cc}); drawnow; |
| 355 |
figure; m_map_gcmfaces(myflds.rms_sladiff_point,0,{'myCaxis',cc}); drawnow; |
| 356 |
end; |
| 357 |
|
| 358 |
if doPlot&doPrint; |
| 359 |
dirFig='../figs/altimeter/'; ff0=gcf-4; |
| 360 |
for ff=1:4; |
| 361 |
figure(ff+ff0); saveas(gcf,[dirFig runName '_' suf num2str(ff)],'fig'); |
| 362 |
eval(['print -depsc ' dirFig runName '_' suf num2str(ff) '.eps;']); |
| 363 |
eval(['print -djpeg90 ' dirFig runName '_' suf num2str(ff) '.jpg;']); |
| 364 |
end; |
| 365 |
end; |
| 366 |
|
| 367 |
end;%for doDifObsOrMod=1:3; |
| 368 |
|
| 369 |
|
| 370 |
|
| 371 |
function [fldOut]=cost_altimeter_read(fileIn,recIn); |
| 372 |
|
| 373 |
nrec=length(recIn); |
| 374 |
global mygrid; siz=[size(convert2gcmfaces(mygrid.XC)) nrec]; |
| 375 |
lrec=siz(1)*siz(2)*4; |
| 376 |
myprec='float32'; |
| 377 |
|
| 378 |
fldOut=zeros(siz); |
| 379 |
fid=fopen([fileIn '.data'],'r','b'); |
| 380 |
for irec=1:nrec; |
| 381 |
status=fseek(fid,(recIn(irec)-1)*lrec,'bof'); |
| 382 |
fldOut(:,:,irec)=fread(fid,siz(1:2),myprec); |
| 383 |
end; |
| 384 |
|
| 385 |
fldOut=convert2gcmfaces(fldOut); |
| 386 |
|
| 387 |
|
| 388 |
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