/[MITgcm]/MITgcm_contrib/gael/matlab_class/gcmfaces_misc/runmean.m
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Contents of /MITgcm_contrib/gael/matlab_class/gcmfaces_misc/runmean.m

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Revision 1.2 - (show annotations) (download)
Thu Jun 23 19:02:48 2011 UTC (14 years, 1 month ago) by gforget
Branch: MAIN
Changes since 1.1: +69 -28 lines
gcmfaces_misc	added headers to all routines
				added depthStretch.m and depthStretchPlot.m
				> removed myverticaldeform.m, verticalplot.m
				and runmean_cycle.m
				rewritten runmean.m
				> removed nanrunmean.m, nanrunmean_cycle.m and runmean_cycle.m
gcmfaces_legacy	added nanrunmean.m, nanrunmean_cycle.m, runmean_cycle.m
				myverticaldeform.m, verticalplot.m
plot_one_field	added example of depthStretchPlot
basic_diags_display_transport	added header

1 function [fldOut]=runmean(fldIn,halfWindow,dim,varargin);
2 %object: compute running mean window ('rmw') over a dimension
3 %input: fldIn is the field to which the rmw will be applied
4 % halfWindow is the half width of the rmw
5 % dim is the dimension over which the rmw will be applied
6 %optional: doCycle states whether the boundary condition is cyclic (1) or
7 % not (0; default). If doCycle==0, the no. of averaged points
8 % decreases from 1+2*halfWindow to halfWindow at the edges.
9 %output: fldOut is the resulting field
10 %
11 %notes: - NaNs are discarded in the rmw, implying that an average is
12 % computed if the rmw contains at least 1 valid point.
13 % - setting halfWindow to 0 implies fldOut=fldIn.
14
15 %determine and check a couple things
16 fld_isa_gcmfaces=isa(fldIn,'gcmfaces');
17 if fld_isa_gcmfaces;
18 if dim<3;
19 error('for gcmfaces objects runmean excludes dim=1 or 2');
20 end;
21 end;
22
23 if nargin==3; doCycle=0; else; doCycle=varargin{1}; end;
24
25 %switch to array format if needed
26 if fld_isa_gcmfaces; fldOut=convert2array(fldOut); end;
27
28 %switch dim to first dimension
29 sizeIn=size(fldIn);
30
31 perm1to2=[1:length(sizeIn)];
32 perm1to2=[dim perm1to2(find(perm1to2~=dim))];
33 perm2to1=[[1:dim-1]+1 1 [dim+1:length(sizeIn)]];
34 sizeIn2=sizeIn(perm1to2);
35
36 fldIn=permute(fldIn,perm1to2);
37
38 sizeCur=size(fldIn);
39 if ~doCycle;
40 %add NaNs at both edges
41 sizeCur(1)=sizeCur(1)+2*halfWindow;
42 fldIn2=NaN*ones(sizeCur);
43 fldIn2(halfWindow+1:end-halfWindow,:,:,:)=fldIn;
44 fldIn=fldIn2; clear fldIn2;
45 end;
46
47 %create mask and remove NaNs:
48 fldMsk=~isnan(fldIn);
49 fldIn(isnan(fldIn))=0;
50 fldCnt=0*fldIn;
51
52 %apply the running mean
53 fldOut=zeros(sizeCur);
54 for tcur=-halfWindow:halfWindow
55 tmp1=circshift(fldIn,[tcur zeros(1,length(sizeCur)-1)]);
56 fldOut=fldOut+tmp1;
57 tmp1=circshift(fldMsk,[tcur zeros(1,length(sizeCur)-1)]);
58 fldCnt=fldCnt+tmp1;
59 end
60
61 fldCnt(fldCnt==0)=NaN;
62 fldOut=fldOut./fldCnt;
63
64 if ~doCycle;
65 fldOut=fldOut(halfWindow+1:end-halfWindow,:,:,:);
66 %consistent with old version bug (one point offset)
67 % fldOut=fldOut(halfWindow:end-halfWindow,:,:,:);
68 end;
69
70 %switch dimensions order back to original order
71 fldOut=permute(fldOut,perm2to1);
72
73 %switch back to gcmfaces format if needed
74 if fld_isa_gcmfaces; fldOut=convert2array(fldOut); end;
75
76
77

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