Im having a ASCAT satellite data and i need to regrid 500m resolution data to 2.225 km .
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Since the satellite data are available in different resolutions and projections, all the data were resampled to 2.225-km spatial resolution and in the BYU projection for comparative analysis. please provide a code for this regridding.
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Keerthi Reddy
on 30 Jun 2023
Hi Amrutha, here is a sample code which you may use, but please, make sure to add necessary changes wherever required.
% Load the satellite data
% Assuming you have a variable named 'satelliteData' containing the original data
% Define the desired resolution and projection
targetResolution = 2.225; % in kilometers
targetProjection = 'BYU'; % replace with the desired projection name
% Define the grid for the target resolution
targetGridSize = 1 / targetResolution; % grid size in degrees
targetLatitudes = -90:targetGridSize:90;
targetLongitudes = -180:targetGridSize:180;
% Create a meshgrid for the target grid
[lonTarget, latTarget] = meshgrid(targetLongitudes, targetLatitudes);
% Resample the satellite data to the target grid
regriddedData = interp2(lonOriginal, latOriginal, satelliteData, lonTarget, latTarget, 'linear');
% Plot the regridded data
imagesc(targetLongitudes, targetLatitudes, regriddedData);
colorbar;
title('Regridded Satellite Data');
xlabel('Longitude');
ylabel('Latitude');
The variables latOriginal and lonOriginal contain the original longitude and latitude values of the satellite data. Also to mention, the above code uses bilinear interpolation, you can feel free to use any kind of interpolation method that suits your data.
I hope this helps.
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