matlab_class/gcmfaces_calc/calc_mermean_T.m

function [fldOut,X,Y,weightOut]=calc_mermean_T(fldIn,method,fldType);
% CALC_MERMEAN_T(budgIn,method,fldType)
%    computes meridional average of fldIn (or its fields recursively).
%
%    If method is 1 (default) then mskCedge (from mygrid.LONS_MASKS) 
%    and volume elements used; if method is 2 then mskCedge and surface 
%    elements are used; if method is -1 or -2 then mskC is used (from mygrid) 
%    instead of mskCedge to define the averaging footpring.
%    
%    If fldType is 'intensive' (default) then fldIn is mutliplied by 
%    RAC (method=2 or -2) or RAC.*hFacC*DRF (method=1 or -1).

gcmfaces_global;

if isempty(who('fldType')); fldType='intensive'; end;
if isempty(who('method')); method=1; end;

%check that LATS_MASKS has already been defined:
if ~isfield(mygrid,'LONS_MASKS');
    fprintf('one-time initialization of gcmfaces_lines_zonal: begin\n');
    gcmfaces_lines_zonal;
    fprintf('one-time initialization of gcmfaces_lines_zonal: end\n');
end;

if isa(fldIn,'struct');
  list0=fieldnames(fldIn);
  fldOut=[];
  for vv=1:length(list0);
    tmp1=getfield(fldIn,list0{vv});
    if isa(tmp1,'gcmfaces');
      [tmp2,X,Y,weightOut]=calc_mermean_T(tmp1,method,fldType);
      fldOut=setfield(fldOut,list0{vv},tmp2);
    end;
  end;
  return;
end;

%initialize output:
n3=max(size(fldIn.f1,3),1); n4=max(size(fldIn.f1,4),1);
fldOut=NaN*squeeze(zeros(length(mygrid.LONS_MASKS),n3,n4));
weightOut=NaN*squeeze(zeros(length(mygrid.LONS_MASKS),n3,n4));

%use array format to speed up computation below:
fldIn=convert2gcmfaces(fldIn);
n1=size(fldIn,1); n2=size(fldIn,2);
fldIn=reshape(fldIn,n1*n2,n3*n4);

%set rac and hFacC according to method
if abs(method)==1;
  rac=reshape(convert2gcmfaces(mygrid.RAC),n1*n2,1)*ones(1,n3*n4);
  if n3==length(mygrid.RC);
      hFacC=reshape(convert2gcmfaces(mygrid.hFacC),n1*n2,n3);
      hFacC=repmat(hFacC,[1 n4]);
      DRF=repmat(mygrid.DRF',[n1*n2 n4]);
  else;
      hFacC=reshape(convert2gcmfaces(mygrid.mskC(:,:,1)),n1*n2,1)*ones(1,n3*n4);
      hFacC(isnan(hFacC))=0;
      DRF=repmat(mygrid.DRF(1),[n1*n2 n3*n4]);
  end;
  weight=rac.*hFacC.*DRF;
else;
  weight=mygrid.mskC(:,:,1).*mygrid.RAC;
  weight=reshape(convert2gcmfaces(weight),n1*n2,1)*ones(1,n3*n4);
end;

%masked area only:
weight(isnan(fldIn))=0;
weight(isnan(weight))=0;
mask=weight; mask(weight~=0)=1;
fldIn(isnan(fldIn))=0;

ny=length(mygrid.LONS_MASKS);
for iy=1:ny;

  if method>0;    
    %get list of points that form a zonal band:
    mm=convert2gcmfaces(mygrid.LONS_MASKS(iy).mskCedge);
    mm=find(~isnan(mm)&mm~=0);
  else;
      error('method < 0 remains to be implemented');
  end;

  if strcmp(fldType,'intensive');
    tmp1=nansum(fldIn(mm,:).*weight(mm,:),1)./nansum(weight(mm,:),1);
    tmp2=nansum(weight(mm,:),1);
  else;
    tmp1=nansum(fldIn(mm,:).*mask(mm,:),1)./nansum(weight(mm,:),1);
    tmp2=nansum(weight(mm,:),1);
  end;

  %store:
  if ~isempty(mm);
    fldOut(iy,:,:)=reshape(tmp1,n3,n4);
    weightOut(iy,:,:)=reshape(tmp2,n3,n4);
  end;
    
end;

X=[]; Y=[];
if size(fldOut,2)==length(mygrid.RC);
    X=mygrid.LONS*ones(1,length(mygrid.RC));
    Y=ones(length(mygrid.LONS),1)*(mygrid.RC');
elseif size(fldOut,2)==1;
    X=mygrid.LONS;
    Y=ones(length(mygrid.LONS),1);
end;

1	gforget	1.1	function [fldOut,X,Y,weightOut]=calc_mermean_T(fldIn,method,fldType);
2			% CALC_MERMEAN_T(budgIn,method,fldType)
3			% computes meridional average of fldIn (or its fields recursively).
4			%
5			% If method is 1 (default) then mskCedge (from mygrid.LONS_MASKS)
6			% and volume elements used; if method is 2 then mskCedge and surface
7			% elements are used; if method is -1 or -2 then mskC is used (from mygrid)
8			% instead of mskCedge to define the averaging footpring.
9			%
10			% If fldType is 'intensive' (default) then fldIn is mutliplied by
11			% RAC (method=2 or -2) or RAC.hFacCDRF (method=1 or -1).
12
13	gforget	1.3	gcmfaces_global;
14	gforget	1.1
15	gforget	1.3	if isempty(who('fldType')); fldType='intensive'; end;
16			if isempty(who('method')); method=1; end;
17
18			%check that LATS_MASKS has already been defined:
19	gforget	1.1	if ~isfield(mygrid,'LONS_MASKS');
20	gforget	1.3	fprintf('one-time initialization of gcmfaces_lines_zonal: begin\n');
21			gcmfaces_lines_zonal;
22			fprintf('one-time initialization of gcmfaces_lines_zonal: end\n');
23	gforget	1.1	end;
24
25			if isa(fldIn,'struct');
26			list0=fieldnames(fldIn);
27			fldOut=[];
28			for vv=1:length(list0);
29			tmp1=getfield(fldIn,list0{vv});
30			if isa(tmp1,'gcmfaces');
31			[tmp2,X,Y,weightOut]=calc_mermean_T(tmp1,method,fldType);
32			fldOut=setfield(fldOut,list0{vv},tmp2);
33			end;
34			end;
35			return;
36			end;
37
38			%initialize output:
39			n3=max(size(fldIn.f1,3),1); n4=max(size(fldIn.f1,4),1);
40			fldOut=NaN*squeeze(zeros(length(mygrid.LONS_MASKS),n3,n4));
41			weightOut=NaN*squeeze(zeros(length(mygrid.LONS_MASKS),n3,n4));
42
43			%use array format to speed up computation below:
44			fldIn=convert2gcmfaces(fldIn);
45			n1=size(fldIn,1); n2=size(fldIn,2);
46			fldIn=reshape(fldIn,n1n2,n3n4);
47
48			%set rac and hFacC according to method
49			if abs(method)==1;
50			rac=reshape(convert2gcmfaces(mygrid.RAC),n1n2,1)ones(1,n3*n4);
51			if n3==length(mygrid.RC);
52			hFacC=reshape(convert2gcmfaces(mygrid.hFacC),n1*n2,n3);
53			hFacC=repmat(hFacC,[1 n4]);
54			DRF=repmat(mygrid.DRF',[n1*n2 n4]);
55			else;
56			hFacC=reshape(convert2gcmfaces(mygrid.mskC(:,:,1)),n1n2,1)ones(1,n3*n4);
57			hFacC(isnan(hFacC))=0;
58			DRF=repmat(mygrid.DRF(1),[n1n2 n3n4]);
59			end;
60			weight=rac.hFacC.DRF;
61			else;
62			weight=mygrid.mskC(:,:,1).*mygrid.RAC;
63			weight=reshape(convert2gcmfaces(weight),n1n2,1)ones(1,n3*n4);
64			end;
65
66			%masked area only:
67			weight(isnan(fldIn))=0;
68			weight(isnan(weight))=0;
69			mask=weight; mask(weight~=0)=1;
70			fldIn(isnan(fldIn))=0;
71
72			ny=length(mygrid.LONS_MASKS);
73			for iy=1:ny;
74
75			if method>0;
76			%get list of points that form a zonal band:
77			mm=convert2gcmfaces(mygrid.LONS_MASKS(iy).mskCedge);
78			mm=find(~isnan(mm)&mm~=0);
79			else;
80			error('method < 0 remains to be implemented');
81			end;
82
83			if strcmp(fldType,'intensive');
84			tmp1=nansum(fldIn(mm,:).*weight(mm,:),1)./nansum(weight(mm,:),1);
85			tmp2=nansum(weight(mm,:),1);
86			else;
87			tmp1=nansum(fldIn(mm,:).*mask(mm,:),1)./nansum(weight(mm,:),1);
88			tmp2=nansum(weight(mm,:),1);
89			end;
90
91			%store:
92	gforget	1.2	if ~isempty(mm);
93			fldOut(iy,:,:)=reshape(tmp1,n3,n4);
94			weightOut(iy,:,:)=reshape(tmp2,n3,n4);
95			end;
96	gforget	1.1
97			end;
98
99			X=[]; Y=[];
100			if size(fldOut,2)==length(mygrid.RC);
101			X=mygrid.LONS*ones(1,length(mygrid.RC));
102			Y=ones(length(mygrid.LONS),1)*(mygrid.RC');
103			elseif size(fldOut,2)==1;
104			X=mygrid.LONS;
105			Y=ones(length(mygrid.LONS),1);
106			end;
107