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For working with NetCDF files, I like to write a small python program and process the data there. In the example below, I compute the average precipitation over several months using python, then pass the resulting product as a raster to ArcMap. This example also illustrates accessing NetCDF data remotely using OPeNDAP, which allows you to just extract ...


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JPG and PNG are not spatially aware formats, meaning their location/georeferencing information is not stored within the file itself. That requires an accompanying World file that stores such information so the image can be georeferenced. As GISGe suggested, the GeoTIFF format is available and does include georeferencing information, so it would be suggested ...


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It depends on what, where and when in longtime terms you need. Historical datasets: http://www.ncdc.noaa.gov/ghcnm/ http://www.gewex.org/gpcp.html In Europe since 2000 http://www.ogimet.com/index.phtml.en but you need a metar parser. In Europe more close to climate models you can use http://apps.ecmwf.int/datasets/ from ERA-Interim program. In ...


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For temperature and precipitation, you can use the Worldclim dataset, but it does not include cloud cover.


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You can likely get a reasonable interpolation using a linear regression (assuming your 30 weather stations are a representative sample) using elevation, latitude and distance from the coast as independent variables with the day as a factor. I've done this using ArcGIS and R previously. Daily 9am and 3pm temperatures over 10 days in 2003 from weather ...



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