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function [varargout]=gcmfaces_loc_tile(ni,nj,varargin); |
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%object : compute map of tile indices and (optional) associate |
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% select location (1D vectors) with tile indices etc. |
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%input : ni,nj is the MITgcm tile size (2 numbers total) |
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% (optional) |
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% AND XC,YC (vectors) |
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% OR iTile, jTile, tileNo (vectors) |
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% OR iTile, jTile, XC11, YC11, XCNINJ, YCNINJ (vectors) |
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%where : |
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% XC, YC are lon/lat of the grid point |
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% tileNo is the grid point s tile number (assuming no blank tiles) |
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% iTile, jTile is the grid point tile index |
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% XC11, YC11 is lat/lon for the tile SE corner |
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% XCNINJ, YCNINJ is lat/lon for the tile NW corner |
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% |
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%output : (nargin==2) tileNo is the map of tile numbers |
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% (nargin >3) loc_tile incl. XC,YC, tileNo, XC11, YC11, XCNINJ, YCNINJ |
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% |
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%notes : - if XC, YC are provided as input, then loc_tile.XC, YC is nearest neighbor |
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% - by assumption tile numbers increase from w to e (2nd dim), |
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% then from s to n (1st dim), then with face number |
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|
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gcmfaces_global; |
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global mytiles; |
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loc_arrays={'XC','YC','XC11','YC11','XCNINJ','YCNINJ','iTile','jTile','tileNo'}; |
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|
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%1) check that tile arrays are up to date |
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if isempty(mytiles); |
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mytiles.dirGrid=mygrid.dirGrid; mytiles.nFaces=mygrid.nFaces; |
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mytiles.fileFormat=mygrid.fileFormat; mytiles.ioSize=mygrid.ioSize; |
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mytiles.ni=-1; mytiles.nj=-1; |
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end; |
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|
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test1=strcmp(mytiles.dirGrid,mygrid.dirGrid)&(mytiles.nFaces==mygrid.nFaces)&... |
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strcmp(mytiles.fileFormat,mygrid.fileFormat)&(sum(mytiles.ioSize~=mygrid.ioSize)==0); |
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test2=(mytiles.ni==ni)&(mytiles.nj==nj); |
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|
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%2) update tile arrays if not up to date |
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if ~test1|~test2; |
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% |
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mytiles.dirGrid=mygrid.dirGrid; mytiles.nFaces=mygrid.nFaces; |
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mytiles.fileFormat=mygrid.fileFormat; mytiles.ioSize=mygrid.ioSize; |
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% |
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XC=mygrid.XC; YC=mygrid.YC; |
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XC11=XC; YC11=XC; XCNINJ=XC; YCNINJ=XC; iTile=XC; jTile=XC; tileNo=XC; |
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tileCount=0; |
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for iF=1:XC11.nFaces; |
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face_XC=XC{iF}; face_YC=YC{iF}; |
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for ii=1:size(face_XC,1)/ni; |
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for jj=1:size(face_XC,2)/nj; |
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%the MITgcm exch2 package proceeds this way instead: |
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% for jj=1:size(face_XC,2)/nj; |
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% for ii=1:size(face_XC,1)/ni; |
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tileCount=tileCount+1; |
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tmp_i=[1:ni]+ni*(ii-1); |
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tmp_j=[1:nj]+nj*(jj-1); |
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tmp_XC=face_XC(tmp_i,tmp_j); |
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tmp_YC=face_YC(tmp_i,tmp_j); |
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XC11{iF}(tmp_i,tmp_j)=tmp_XC(1,1); |
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YC11{iF}(tmp_i,tmp_j)=tmp_YC(1,1); |
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XCNINJ{iF}(tmp_i,tmp_j)=tmp_XC(end,end); |
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YCNINJ{iF}(tmp_i,tmp_j)=tmp_YC(end,end); |
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iTile{iF}(tmp_i,tmp_j)=[1:ni]'*ones(1,nj); |
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jTile{iF}(tmp_i,tmp_j)=ones(ni,1)*[1:nj]; |
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tileNo{iF}(tmp_i,tmp_j)=tileCount*ones(ni,nj); |
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end; |
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end; |
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end; |
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|
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for iF=1:length(loc_arrays); |
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eval(['mytiles.' loc_arrays{iF} '=convert2array(' loc_arrays{iF} ');']); |
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eval(['clear ' loc_arrays{iF} ';']); |
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end; |
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end; |
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|
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%3) decide what is needed based on the number or arguments |
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% (this needs to happen after mytiles is computed, since |
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% I use the same variable names in that bloc and below) |
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if nargin==2; |
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%simply return mytiles as loc_tile |
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tileNo=convert2array(mytiles.tileNo); |
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varargout={tileNo}; |
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return; |
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elseif nargin==4; |
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XC=varargin{1}; YC=varargin{2}; |
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tmp1=find(XC>180); XC(tmp1)=XC(tmp1)-360; |
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iTile=[]; jTile=[]; tileNo=[]; |
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XC11=[]; YC11=[]; XCNINJ=[]; YCNINJ=[]; |
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elseif nargin==5; |
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XC=[]; YC=[]; |
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iTile=varargin{1}; jTile=varargin{2}; tileNo=varargin{3}; |
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XC11=[]; YC11=[]; XCNINJ=[]; YCNINJ=[]; |
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elseif nargin==8; |
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XC=[]; YC=[]; |
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iTile=varargin{1}; jTile=varargin{2}; tileNo=[]; |
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XC11=varargin{3}; YC11=varargin{4}; XCNINJ=varargin{5}; YCNINJ=varargin{6}; |
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else; |
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error('wrong argument list'); |
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end; |
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|
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%3) find the grid points indices in array format |
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if ~isempty(XC); |
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%identify nearest neighbor on the sphere |
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XCgrid=convert2array(mygrid.XC); |
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YCgrid=convert2array(mygrid.YC); |
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x=sin(pi/2-YCgrid*pi/180).*cos(XCgrid*pi/180); |
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y=sin(pi/2-YCgrid*pi/180).*sin(XCgrid*pi/180); |
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z=cos(pi/2-YCgrid*pi/180); |
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xx=sin(pi/2-YC*pi/180).*cos(XC*pi/180); |
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yy=sin(pi/2-YC*pi/180).*sin(XC*pi/180); |
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zz=cos(pi/2-YC*pi/180); |
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kk=find(~isnan(x)); |
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if size(xx,1)==1; xx=xx'; yy=yy'; zz=zz'; end; |
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ik = knnsearch([x(kk) y(kk) z(kk)],[xx yy zz]); |
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ik=kk(ik); |
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% |
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%(old method that uses longitude, latitude directly) |
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%tmp1=find(XC>180); XC(tmp1)=XC(tmp1)-360; |
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%ik=gcmfaces_bindata(XC,YC); |
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else; |
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%use mytiles as a look up table |
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ik=zeros(size(iTile)); |
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for ikk=1:length(iTile); |
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if ~isempty(tileNo); |
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tmp1=find(mytiles.iTile==iTile(ikk)&mytiles.jTile==jTile(ikk)&mytiles.tileNo==tileNo(ikk)); |
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else; |
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tmp1=find(mytiles.iTile==iTile(ikk)&mytiles.jTile==jTile(ikk)&... |
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abs(mytiles.XC-XC(ikk))<1e-4&... |
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abs(mytiles.YC-YC(ikk))<1e-4&... |
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abs(mytiles.XC11-XC11(ikk))<1e-4&... |
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abs(mytiles.YC11-YC11(ikk))<1e-4&... |
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abs(mytiles.XCNINJ-XCNINJ(ikk))<1e-4&... |
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abs(mytiles.YCNINJ-YCNINJ(ikk))<1e-4); |
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end; |
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if isempty(tmp1); error('grid point could not be identified from inputs'); end; |
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ik(ikk)=tmp1(1); |
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end; |
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end; |
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|
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loc_tile.point=ik; |
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|
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%4) complement location arrays and prepare output |
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for iF=1:length(loc_arrays); |
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eval(['loc_tile.' loc_arrays{iF} '=mytiles.' loc_arrays{iF} '(ik);']); |
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end; |
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|
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%5) output result |
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varargout={loc_tile}; |
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|
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|
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