I'm currently modelling ice sheet dynamics. I have a loop that calculates the surface energy balance for 8760 hours (1:tmax) and for 8 different locations (1:no_stations). That looks like the following:
tau=0.5;
albedo=0.35;
c0=-90;
c1=10;
for i=1:tmax
for e=1:no_stations
psi(i,e) = tau*(1-albedo)*insol(i,4)+c0+c1*temp_stations(i,e);
end
end
The temperature data (temp_stations) is a 8760x8 array with the corresponding temperatures for the 8760 hours at the 8 locations, and insol(i,4) is an array of 8760x4 where the fourth colomn gives the evolution of the insolation with time. My question: I want to create an extra dimension, a 8760x8x61 array where c0 is not constant but varies between -140 and -80:
c0=-140:1:-80;
How do I do this? I tried some things but it doesn't seem to work out fine.
Thanks!
For such cases that demand expansion, one can bring in bsxfun
and permute
for a vectorized solution, like so -
parte2 = bsxfun(@plus,permute(c0,[1,3,2]),c1*temp_stations);
psi_out = bsxfun(@plus,tau*(1-albedo)*insol(:,4),parte2);
If you don't dig bsxfun
or if you just want to verify the results from vectorized approach, here's the equivalent loopy code -
for i=1:tmax
for e=1:no_stations
for k = 1:numel(c0)
psi(i,e,k) = tau*(1-albedo)*insol(i,4)+c0(k)+c1*temp_stations(i,e);
end
end
end
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