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%nakedsoftware.org opensource license, copyright 2010 % %developed by Stephane Poirier, M.Sc. Optical Physics, Remote Sensing Application Software Developer ( ) % %this function is part of oifii.org's ar\sp\ Microwave- derived 30-year Canada-Alaska Daily Temperature and Snowcover Databases library % %this function is part of oifii.org's ar\sp\'this folder' application (lauched with ar\sp\'this file'.m) %oifii.org's ar\sp\affiche_carte application is part of the oifii.org's ar\sp set of applications which %may also contain similar variant versions of this function with identical filename. % %A geophysical research paper about this work has been submitted in June 2009 for publication in JGR-Atmosphere %Royer, A. and Poirier S., Surface temperature spatial and temporal variations in North America from homogenized %satellite SMMR-SSM/I microwave measurements and reanalysis for , Journal of Geophysical Research - Atmosphere, %Submitted June 2009, Poirier_Microwave-derived-daily-surface- temperature_JGR2009JD012760_R2.pdf % %This study's database can be downloaded from the author web site at: % daily-surface-temperature-db_ zip % %this function is used to display the raw microwave raster data (NSIDC's SMMR and SSMI satellite, ref. nsidc.org) % %usage: % 20yymmmdd % %version 0.0, 20yymmmdd, spi, initial function draft % %nakedsoftware.org opensource license, copyright 2010

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function [temp] = era40grib2easegrid(t,longitude,latitude) temp=[]; [grille] = latlon2easegrid_era40grib(longitude,latitude); % grille : m latitude x n longitude x 4 % 1 => les latitudes ERA40 % 1 => les longitudes ERA40 % 1 => les r EASEGrid % 1 => les s EASEGrid r = grille(:,:,3); s = grille(:,:,4); % ind = find(r >= 1 & r = 1 & s <= 721 ); % ind = find (r >=181 & r = 231 & s <= 470 ); % ind = find (r >=161 & r = 211 & s <= 490); %yannick ind = find(r >= 1 & r = 1 & s <= 721 ); mat(:,1)=r(ind); mat(:,2)=s(ind); % grille dans laquelle l'interpolation va avoir lieu % [xease,yease]=meshgrid([1:721],[1:721]); % [xease,yease]=meshgrid([181:340],[231:470]); %spi, test % [xease,yease]=meshgrid([161:360],[211:490]); %yannick [xease,yease]=meshgrid([1:721],[1:721]); %spi for itemps=1:size(t,3); tnc=t(:,:,itemps); %z=[]; %n=0; mat(:,3) = tnc(ind); mat=mat'; % mat(1,:) => ligne des pixels dont on a 1 valeur % mat(2,:) => colonne des pixels.. % mat(3,:) => valeur des pixels au point mat(1,i) mat(2,i) % Interpolation au point de grille qui n'ont pas de donnnes warning off ; z = griddata(mat(1,:),mat(2,:),mat(3,:),xease,yease,'linear'); % 'linear' : interpolation % bilineaire z = flipud(rot90(z)); % SELECTION D'UNE ZONE %z = z(184,417) ; % site de la tuque %z=z(248,348); % z=z(181:340,231:470); %z=z(21:180,21:260); %yannick temp=cat(3,temp,z); mat=mat'; mat(:,3)=[]; end % fin de boucle sur les itemps