| 1 |
gforget |
1.1 |
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| 2 |
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doLoad=1; |
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doGrid=1; |
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doPlot=1; |
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gcmfaces_global;%global variables and paths |
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| 8 |
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%load insitu data (in MITprof format) |
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%------------------------------------ |
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| 11 |
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if doLoad; |
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gforget |
1.2 |
dirIn='release1/MITprof/'; |
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gforget |
1.1 |
%load ctd data set (0-9000m) |
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gforget |
1.2 |
ctd=MITprof_load([dirIn 'ctd_feb2013_model.nc']); |
| 15 |
gforget |
1.1 |
%load argo data subsets (rectricted to 0-2000m) |
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gforget |
1.2 |
argo1=MITprof_load([dirIn 'argo_feb2013_1992_to_2007_model.nc']); |
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argo2=MITprof_load([dirIn 'argo_feb2013_2008_to_2010_model.nc']); |
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argo3=MITprof_load([dirIn 'argo_feb2013_2011_to_2012_model.nc']); |
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gforget |
1.1 |
%concatenate (requires same vertical grid) |
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argo=MITprof_concat(argo1,argo2); |
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argo=MITprof_concat(argo,argo3); |
| 22 |
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end; |
| 23 |
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| 24 |
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%define global grids (gcmfaces format) |
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%------------------------------------ |
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if doGrid; |
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%ECCO grid (lat-lon-cap) should be in memory at this stage |
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mygrid_llc90=mygrid; |
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%define lat-lon grid |
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lon=[-179:2:179]; lat=[-89:2:89]; |
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[lat,lon] = meshgrid([-89:2:89],[-179:2:179]); |
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%prepare mygrid for lat-lon with no mask |
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mygrid_latlon.nFaces=1; |
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mygrid_latlon.XC=gcmfaces({lon}); mygrid_latlon.YC=gcmfaces({lat}); |
| 37 |
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mygrid_latlon.dirGrid='none'; |
| 38 |
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mygrid_latlon.fileFormat='straight'; |
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mygrid_latlon.ioSize=size(lon); |
| 40 |
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end; |
| 41 |
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| 42 |
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%plot number of observations and mean date |
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%----------------------------------------- |
| 44 |
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if doPlot==1; |
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mygrid=mygrid_latlon; |
| 47 |
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global mytri; mytri=[]; gcmfaces_bindata; |
| 48 |
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| 49 |
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figureL; |
| 50 |
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[tim,nobs]=gcmfaces_bindata(argo.prof_lon,argo.prof_lat,argo.prof_date); |
| 51 |
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tim0=datenum(1992,1,1); tim=1992+(tim./nobs-tim0)/365; tim(nobs==0)=NaN; |
| 52 |
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% |
| 53 |
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subplot(2,2,1); qwckplot(log10(nobs)); |
| 54 |
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caxis([0 3]); colorbar('horiz'); title('argo log10(#obs)'); |
| 55 |
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% |
| 56 |
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subplot(2,2,2); qwckplot(tim); |
| 57 |
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caxis([1992 2012]); colorbar('horiz'); title('argo mean date'); |
| 58 |
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% |
| 59 |
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[tim,nobs]=gcmfaces_bindata(ctd.prof_lon,ctd.prof_lat,ctd.prof_date); |
| 60 |
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tim0=datenum(1992,1,1); tim=1992+(tim./nobs-tim0)/365; tim(nobs==0)=NaN; |
| 61 |
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% |
| 62 |
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subplot(2,2,3); qwckplot(log10(nobs)); |
| 63 |
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caxis([0 3]); colorbar('horiz'); title('ctd log10(#obs)'); |
| 64 |
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% |
| 65 |
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subplot(2,2,4); qwckplot(tim); |
| 66 |
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caxis([1992 2012]); colorbar('horiz'); title('ctd mean date'); |
| 67 |
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| 68 |
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end;%if doPlot==1; |
| 69 |
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| 70 |
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| 71 |
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| 72 |
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%plot individual cruise / instrument tracks (as defined by descr flag) |
| 73 |
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%-------------------------------------------------------------------- |
| 74 |
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if doPlot==2; |
| 75 |
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| 76 |
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mygrid=mygrid_llc90; |
| 77 |
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global mytri; mytri=[]; gcmfaces_bindata; |
| 78 |
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| 79 |
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%prof=MITprof_subset(ctd,'lat',[-70 -60],'lon',[-120 -90]); |
| 80 |
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prof=MITprof_subset(ctd,'lat',[-70 -60]); |
| 81 |
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list0=prof.list_descr; |
| 82 |
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list1='rgbmc'; |
| 83 |
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| 84 |
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figureL; m_map_gcmfaces(mygrid.Depth,3); colormap('gray'); |
| 85 |
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%for k=1:length(list0); |
| 86 |
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for k=length(list1):length(list1):length(list0); |
| 87 |
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list1=circshift(list1,[0 -1]); |
| 88 |
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prof=MITprof_subset(ctd,'descr',list0{k}); |
| 89 |
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jj=mod(k,length(list1)); if jj==0; jj=length(list1); end; |
| 90 |
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[tmp1,II]=sort(prof.prof_date); |
| 91 |
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l=prof.prof_lon(II); L=prof.prof_lat(II); |
| 92 |
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m_map_gcmfaces({'plot',l,L,[list1(jj) '.-']},3,{'doHold',1}); |
| 93 |
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pause(0.1); hold on; |
| 94 |
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end; |
| 95 |
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| 96 |
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end;%if doPlot==2; |
| 97 |
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| 98 |
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| 99 |
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| 100 |
gforget |
1.2 |
%compile yearly, box averaged, anomaly from ecco |
| 101 |
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%----------------------------------------------- |
| 102 |
gforget |
1.1 |
if doPlot==3; |
| 103 |
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| 104 |
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yearly_anom_argo=NaN*zeros(3,20); |
| 105 |
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yearly_anom_ctd=NaN*zeros(3,20); |
| 106 |
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| 107 |
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%box definition: |
| 108 |
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l=[-180 180]; L=[-80 -50]; D=[100 200]; |
| 109 |
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%l=[-120 -90]; L=[-80 -50]; D=[100 200]; |
| 110 |
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| 111 |
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for yy=1992:2011; |
| 112 |
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d=[datenum(yy,0,0) datenum(yy+1,0,0)]; |
| 113 |
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% |
| 114 |
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prof=MITprof_subset(ctd,'lon',l,'lat',L,'depth',D,'date',d); |
| 115 |
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anom=prof.prof_T(:)-prof.prof_Testim(:); anom=anom(find(~isnan(anom))); |
| 116 |
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if length(anom)>0; |
| 117 |
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yearly_anom_ctd(1,yy-1991)=length(anom); |
| 118 |
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yearly_anom_ctd(2,yy-1991)=mean(anom); |
| 119 |
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yearly_anom_ctd(3,yy-1991)=median(anom); |
| 120 |
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end; |
| 121 |
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% |
| 122 |
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prof=MITprof_subset(argo,'lon',l,'lat',L,'depth',D,'date',d); |
| 123 |
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anom=prof.prof_T(:)-prof.prof_Testim(:); anom=anom(find(~isnan(anom))); |
| 124 |
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if length(anom)>0; |
| 125 |
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yearly_anom_argo(1,yy-1991)=length(anom); |
| 126 |
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yearly_anom_argo(2,yy-1991)=mean(anom); |
| 127 |
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yearly_anom_argo(3,yy-1991)=median(anom); |
| 128 |
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end; |
| 129 |
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end; |
| 130 |
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| 131 |
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figureL; |
| 132 |
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subplot(2,1,1); |
| 133 |
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plot(log10(yearly_anom_ctd(1,:)),'.-'); hold on; |
| 134 |
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plot(log10(yearly_anom_argo(1,:)),'r.-'); |
| 135 |
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title('log10(#obs) for ctd (b) and argo (r)'); |
| 136 |
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subplot(2,1,2); |
| 137 |
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plot(yearly_anom_ctd(2,:),'.-'); hold on; |
| 138 |
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plot(yearly_anom_argo(2,:),'r.-'); |
| 139 |
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plot(yearly_anom_ctd(3,:),'c.-'); hold on; |
| 140 |
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plot(yearly_anom_argo(3,:),'m.-'); |
| 141 |
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title('mean/median anomaly for ctd (b/c) and argo (r/m)'); |
| 142 |
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| 143 |
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end;%if doPlot==3; |
| 144 |
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