Bailey, It seems like you don't need geometric transformation of your images. We can see that your input is called reprojected. You just need to re-scale it, interpolating/filling it up with pixels values based on cubic method.
You can do that with gdal_translate -tr or -outsize parameters. It should be faster since it requires less floating point computation on the warping/transformation. But it could be that gdalwarp is smart enough to figure out that it doesn't need to do any transformation. You can give it a try. Regards, Ivan From: [email protected] To: [email protected] Date: Mon, 13 Jul 2015 17:12:02 +0000 Subject: [gdal-dev] Need to resample climate data to very fine resolution Hello, I am having issues using gdalwarp to resample climate data to a finer resolution. Each climate raster has been clipped to the extent of Alaska, and contain >300 layers (1 for every month from 1979-2010). The current resolution of the rasters is >1000 km and they need to be resample to around 33 meters, making the new files go from ~8 MB to 33 GB. I have been testing out gdalwarp on these files but so far I cannot get them to resample in a reasonable amount of time. I ran one for over 15 hours on my universities campus cluster and it never passed the 0% complete mark. I need to be able to get each file done in less then 48 hours since that is the time frame limit on the cluster. My current code is: gdalwarp /project/oa/akpaleo/climate/ccsm4/modern/reprojected/pr_Amon_CCSM4_amip_r1i1p1_197901-201012.tif –tr 33.945415050894333 33.945415050894333 –r “cubic” /projects/oa/akpaleo/climate/ccsm4/modern/resample/pr.tif I don’t know if I have written this out incorrectly to get the resample to work since I am new to gdal, but I believe this is correct. Does anyone know a reasonable way to speed this process up (or get around the time limit issue) correctly without causing incorrect calculations to the output files? I’ve attached a link to one of the climate rasters I am using. https://uofi.box.com/s/4cv7tvpnf29d70n9wb0a8t9y4oxmudql Thank you, Bailey Morrison PhD Student NASA Earth and Space Science Fellow University of Illinois at Urbana-Champaign Program in Ecology, Evolution, and Conservation Biology Global Environmental Analysis and Remote Sensing Lab (GEARS) _______________________________________________ gdal-dev mailing list [email protected] http://lists.osgeo.org/mailman/listinfo/gdal-dev
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