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enderton |
1.1 |
function data = DiagAverage(data,fln,avg,absmonths,ddf,Dim); |
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% Function: DiagAverage |
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% Author: Daniel Enderton |
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% |
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% Input Fields: |
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% |
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% Field Type (Brief) Description |
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% ----------------------------------------------------------------------- |
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% data array Data |
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% fln string Field name |
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% avg string Averaging scheme ('Ann','DJF', 'JJA',...) |
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% absmonths array Absolute months (time axis of data) |
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% |
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% Output Fields: |
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% |
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% Field Type (Brief) Description |
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% ----------------------------------------------------------------------- |
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% data array Averaged data. |
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% |
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% Descripton: |
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% This function averages the data. The field to average is defined by |
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% 'fln', and the loaded, pre-averaged data is 'data'. The field |
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% 'absmonths' is the time axis given in months (1,13,25,... are assumed |
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% to be Janurary), and is returned in 'datatime' so that there can be a |
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% time axis for every experiment / configuration setting. It is |
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% important to remember that this function assumed monthly data! |
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% Load parameters (here only general parameters). |
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DiagGenParam; |
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% Calcuate months of year. |
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months = mod(absmonths-1,12)+1; |
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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% Take monthly average of data % |
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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% Take monthly average of data. The result has the same dimensions of the |
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% time-independent field (2D or 3D), and the last dimension is the time, |
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% which has a length of 12, running from 1 to 12, representing January |
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% through December respectively. If there is no data for a months, that |
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% months values are set to NaN. |
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if isequal(avg,'Non') |
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temp = data; |
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elseif isequal(avg,'Avg') |
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if isequal(Dim,2), temp = meanovernan(data,3); % Dimension option overrides. |
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elseif isequal(Dim,3), temp = meanovernan(data,4); |
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elseif ismember(fln,fields2D), temp = meanovernan(data,3); |
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elseif ismember(fln,fields3D), temp = meanovernan(data,4); |
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else |
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error('Field not accounted for in ''fields2D'' of ''fields3D'' and dimension not specified!'); |
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end |
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else |
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for imon = 1:12 |
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if ismember(fln,fields2D) || isequal(Dim,2) |
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if isempty(find(months == imon)) |
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dataMonAvg(:,:,imon) = NaN * zeros(size(data(:,:,1))); |
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else |
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molod |
1.2 |
inds=find(months==imon); |
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dataMonAvg(:,:,imon) = meanovernan(data(:,:,absmonths(inds)),3); |
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enderton |
1.1 |
end |
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elseif ismember(fln,fields3D) || isequal(Dim,3) |
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if isempty(find(months == imon)) |
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dataMonAvg(:,:,:,imon) = NaN * zeros(size(data(:,:,:,1))); |
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else |
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molod |
1.2 |
inds=find(months==imon); |
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dataMonAvg(:,:,:,imon) = meanovernan(data(:,:,:,absmonths(inds)),4); |
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enderton |
1.1 |
end |
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else |
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error('Field not accounted for in ''fields2D'' of ''fields3D'''); |
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end |
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end |
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end |
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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% Average data % |
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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% If 'avg' (the averaging scheme) is time-sequential, merely return the |
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% data, if it is time-year, merely return the monthly averaged data. Note |
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% that these options are for a contour plot of a property which is only a |
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% function of latitude, that is you can only use this for a zonally |
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% averaged to i=# slice of a 2D field. |
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if ismember(avg,{'Non','Avg'}) |
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dummy = 1; |
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elseif isequal(avg,'Tse') |
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temp = data; |
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elseif isequal(avg,'Tyr') |
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temp = dataMonAvg; |
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temp(:,:,13) = temp(:,:,1); |
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% Average along certain month combinations, or just select a month itself. |
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% Here we pick the month index number(s) based on the averaging parameter, |
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% and then select those indecies of the monthly averaged data and take a |
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% mean over the time axis. |
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else |
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if isequal(avg,'Jan'), index = [1]; |
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elseif isequal(avg,'Feb'), index = [2]; |
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elseif isequal(avg,'Mar'), index = [3]; |
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elseif isequal(avg,'Apr'), index = [4]; |
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elseif isequal(avg,'May'), index = [5]; |
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elseif isequal(avg,'Jun'), index = [6]; |
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elseif isequal(avg,'Jul'), index = [7]; |
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elseif isequal(avg,'Aug'), index = [8]; |
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elseif isequal(avg,'Sep'), index = [9]; |
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elseif isequal(avg,'Oct'), index = [10]; |
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elseif isequal(avg,'Nov'), index = [11]; |
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elseif isequal(avg,'Dec'), index = [12]; |
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elseif isequal(avg,'DJF'), index = [12,1,2]; |
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elseif isequal(avg,'MAM'), index = [3,4,5]; |
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elseif isequal(avg,'JJA'), index = [6,7,8]; |
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elseif isequal(avg,'SON'), index = [9,10,11]; |
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elseif isequal(avg,'Ann'), index = [1:12]; |
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else |
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error(['Unaccounted for averaging scheme: ',avg]); |
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end |
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% Make an array 'newindex' which has all the values as in 'index', but |
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% with the emission those months with no data (all NaNs). Note that |
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% sometimes the edges of the U and V velocity fields can be NaN from |
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% the interpolation, so check for NaN months a few horizontal indecies |
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% into the array. |
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umonths = unique(months); |
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newindex = umonths(ismember(umonths,index)); |
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% Cast a warning or error for all or some missing data, respectively. |
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if isempty(newindex) |
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error(['No data for the averaging sceheme: ',avg,]); |
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elseif length(newindex) ~= length(index) |
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disp(['***Warning*** Missing data for averaging scheme: ',avg]); |
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disp([' Month(s) with data: ',mat2str(newindex)]); |
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disp([' Month(s) for averaging: ',mat2str(index)]); |
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end |
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% Perform time averaging. |
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if ismember(fln,fields2D) || isequal(Dim,2) |
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temp = meanovernan(dataMonAvg(:,:,newindex),3); |
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elseif ismember(fln,fields3D) || isequal(Dim,3) |
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temp = meanovernan(dataMonAvg(:,:,:,newindex),4); |
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end |
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end |
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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% Prepare for output % |
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
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molod |
1.2 |
data = temp; |
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