Commit 6bdb6da5 authored by Pierre Cazenave's avatar Pierre Cazenave

Copy the geographical data from the FVCOM object into the interpolated grid...

Copy the geographical data from the FVCOM object into the interpolated grid (to make plotting easier). Also fix a nasty bug in which only the first variable in the input data struct was being used to interpolate the data
parent 7adf9a2b
function fvcom = grid2fvcom(Mobj,vars,wind)
function fvcom = grid2fvcom(Mobj,vars,data)
% Interpolate regularly gridded wind speed data onto a given FVCOM grid
% grid2fvcom(Mobj,vars,wind,fvcom_forcing_file,infos)
......@@ -11,7 +11,7 @@ function fvcom = grid2fvcom(Mobj,vars,wind)
% Mobj - MATLAB mesh object
% vars - a cell array of the variables to be interpolated on the FVCOM
% grid in Mobj (e.g. uwnd, U10, vwnd, V10 etc.).
% wind - a struct which contains the following arrays:
% data - a struct which contains the following arrays:
% x - x data (probably best in cartesian for the interpolation)
% y - y data (probably best in cartesian for the interpolation)
% The struct must also contain all the variables defined in vars.
......@@ -19,7 +19,8 @@ function fvcom = grid2fvcom(Mobj,vars,wind)
% fvcom - struct of the interpolated data values at the model nodes and
% element centres.
% element centres. Also includes any variables which were in the input
% struct but which have not been interpolated (e.g. time).
% Author(s):
% Pierre Cazenave (Plymouth Marine Laboratory)
......@@ -70,18 +71,22 @@ xc = nodes2elems(x, Mobj);
yc = nodes2elems(y, Mobj);
ntimes = numel(wind.time);
ntimes = numel(data.time);
ntimes = numel(wind.(vars{1}).time);
ntimes = numel(data.(vars{1}).time);
% Interpolate supplied regularly gridded data to FVCOM mesh. Use
% TriScatteredInterp to do the interpolation instead of griddata (should be
% faster).
for vv=1:length(vars)
if strcmpi(vars{vv}, 'lat') || strcmpi(vars{vv}, 'lon') || strcmpi(vars{vv}, 'x') || strcmpi(vars{vv}, 'y') || strcmpi(vars{vv}, 'time')
fprintf('skipping variable %s\n', vars{vv})
if strcmpi(vars{vv}, 'time')
fprintf('transferring variable %s as is\n', vars{vv})
fvcom.(vars{vv}) = data.(vars{1});
elseif strcmpi(vars{vv}, 'lat') || strcmpi(vars{vv}, 'lon') || strcmpi(vars{vv}, 'x') || strcmpi(vars{vv}, 'y')
fprintf('reassigning variable %s from unstructured grid\n', vars{vv})
fvcom.(vars{vv}) = Mobj.(vars{1});
% Preallocate the output arrays
fvcom.(vars{vv}).data = zeros(nElems,ntimes);
......@@ -89,12 +94,12 @@ for vv=1:length(vars)
for i=1:ntimes
fprintf('interpolating %s, frame %d of %d\n', vars{vv}, i, ntimes);
currvar = wind.(vars{1}).data(:, :, 1);
currvar = data.(vars{vv}).data(:, :, 1);
% griddata way (cubic interpolation)
%fvcom.(vars{vv}).node(:,i) = griddata(wind.x,wind.y,currvar,x,y,'cubic');
%fvcom.(vars{vv}).data(:,i) = griddata(wind.x,wind.y,currvar,xc,yc,'cubic');
% TriScatteredInterp way (with natural neighbour interpolation)
ftsin = TriScatteredInterp(wind.x(:), wind.y(:), currvar(:), 'natural');
ftsin = TriScatteredInterp(data.x(:), data.y(:), currvar(:), 'natural');
fvcom.(vars{vv}).node(:,i) = ftsin(x,y);
fvcom.(vars{vv}).data(:,i) = ftsin(xc,yc);
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