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gforget |
1.2 |
function [fldOut]=gcmfaces_remap_3d(lon,lat,depIn,fldIn,nDblRes); |
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gforget |
1.1 |
%object: use bin average to remap a lat-lon-depth field to mygrid.mskC |
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%input: lon,lat,dep,fld are the gridded product arrays (2D,2D,1D,3D) |
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%assumption:fld should show NaN for missing values |
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gcmfaces_global; |
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%initiate triangulation: |
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gcmfaces_bindata; |
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%vertical levels: |
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nrIn=length(depIn); |
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depOut=-mygrid.RC; |
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nrOut=length(depOut); |
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gforget |
1.2 |
if isempty(whos('nDblRes')); nDblRes=3; end; |
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gforget |
1.1 |
%corresponding model mask: chosen to avoid vertical extrapolation later |
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% 1) from model just above |
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mskC=repmat(0*mygrid.XC,[1 1 nrIn]); |
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KK2=zeros(1,nrIn); |
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for kk=1:nrIn; |
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kk2=max(find(depOut<=depIn(kk)));%model level just above |
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if isempty(kk2); kk2=1; end;%pathological case |
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KK2(kk)=kk2; |
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mskC(:,:,kk)=mygrid.mskC(:,:,kk2); |
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end; |
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% 2) shift to above atlas level mask |
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for kk=nrIn:-1:2; |
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mskC(:,:,kk)=mskC(:,:,kk-1);%atlas level just above |
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end; |
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%test vertical interpolation to mygrid.RC of the mask: |
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% => the printed result should be 0 |
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if 0; |
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mskCout=atlas_interp_vert(mskC,depIn,depOut); |
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aa=convert2gcmfaces(isnan(mskCout)&~isnan(mygrid.mskC)); |
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nansum(aa(:)) |
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end; |
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%horizontal mapping to mygrid.XC, mygrid.YC, mskC: |
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fld1=mskC; |
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tocs=[]; |
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for kk=1:nrIn; |
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tic; |
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gforget |
1.2 |
fld1(:,:,kk)=gcmfaces_remap_2d(lon,lat,fldIn(:,:,kk),nDblRes,mskC(:,:,kk)); |
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gforget |
1.1 |
tocs=[tocs;toc]; |
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[kk nrIn mean(tocs)] |
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end; |
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%vertical interpolation to mygrid.RC |
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fld2=atlas_interp_vert(fld1,depIn,depOut); |
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%final mask handling: |
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%1) remask with mygrid.mskC (mskC was wider by design) |
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msk1=mygrid.mskC; tmp1=msk1.*fld2; |
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%2) extrapolate vertically (some deep canions may still miss data) |
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fldOut=atlas_extrap_vert(tmp1,msk1,depOut); |
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function [fldOut]=atlas_interp_vert(fldIn,depthIn,depthOut); |
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%vertical interpolation |
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gcmfaces_global; |
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nrIn=length(depthIn); |
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nrOut=length(depthOut); |
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%map depthIn to depthOut: |
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coeff=interp1(depthIn,[1:nrIn],depthOut); |
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tmp1=find(isnan(coeff)); coeff(tmp1)=nrIn-0.01; %quick fix |
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%vertical interpolation to mygrid.RC: |
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fldOut=repmat(0*mygrid.XC,[1 1 nrOut]); |
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for kk=1:nrOut; |
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tmp1=coeff(kk); tmp2=floor(tmp1); tmp1=tmp1-tmp2; |
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if tmp2==nrIn; |
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tmp3=fldIn(:,:,tmp2); |
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else; |
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tmp3=(1-tmp1)*fldIn(:,:,tmp2)+tmp1*fldIn(:,:,tmp2+1); |
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end; |
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fldOut(:,:,kk)=tmp3; |
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end; |
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function [fldOut]=atlas_extrap_vert(fldIn,mskOut,depthIn); |
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%vertical extrapolation when needed |
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fldOut=convert2array(fldIn); |
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mskOut=convert2array(mskOut); |
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nrIn=length(depthIn); |
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for kk=2:nrIn; |
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tmp_kk=fldOut(:,:,kk); |
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msk_kk=mskOut(:,:,kk); |
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[II,JJ]=find(isnan(tmp_kk)&~isnan(msk_kk)); |
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if ~isempty(II)&kk==2; |
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tmp_kkM1=fldOut(:,:,kk-1); |
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tmp1=find(isnan(tmp_kk)&~isnan(msk_kk)&~isnan(tmp_kkM1)); |
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tmp_kk(tmp1)=tmp_kkM1(tmp1); |
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fldOut(:,:,kk)=tmp_kk; |
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elseif ~isempty(II); |
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tmp_kkM1=fldOut(:,:,kk-1); |
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tmp_kkM2=fldOut(:,:,kk-2); |
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coeff=(depthIn(kk)-depthIn(kk-1))/(depthIn(kk-1)-depthIn(kk-2)); |
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tmp_kk_x=tmp_kkM1+coeff*(tmp_kkM1-tmp_kkM2); |
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tmp1=find(isnan(tmp_kk)&~isnan(msk_kk)&~isnan(tmp_kk_x)); |
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tmp_kk(tmp1)=tmp_kk_x(tmp1); |
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fldOut(:,:,kk)=tmp_kk; |
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end; |
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end; |
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fldOut=convert2array(fldOut); |
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