Edit: fixed! Was able to use the raster alignment tool, thanks @marigolds6
Hi all,
I'm trying to do some statistical analysis on a couple climate models, which involves finding the standard deviation of some interpolated wind speed maps. All maps are in EPSG:4326 (no reprojecting, they were all that originally), and were interpolated using the Kriging method to 0.1 degrees. They've all been clipped to the exact same box coordinates, but as you can see in the photos they don't overlap 100%. I've highlighted one of the pixels of the first layer so that you can see it doesn't match up to the layer underneath.
Has anyone seen this before?
I'm afraid the problem is the interpolation in degrees, rather than m or km, but I'd like to avoid reprojecting to a different CRS if possible. When I look into the properties of the layers, I see that the pixel sizes are very very slightly different, like so:
layer 1:
0.1000000000000000194,-0.1000000000000000333
layer 2:
0.1000000000000000194,-0.09999999999999989453
but this seems so small that even on a large scale I wouldn't think it'd cause much difference. Maybe I'm wrong though.
Using QGIS btw