Step 1 – We first generate year-specific.TXT file includes the lat/lon grid boundaries, timestamp, and daily values for each pixel. IMD provides you daily data for each weather variable (TMAX, TMIN, TAVG) in year-specific. Here we’ll convert it to netCDF, which after processing can then be exported to a spreadsheet. TXT/.GRD format, extra work is required to turn those files into more familiar formats. Since IMD provides their climate data in. I rely on the [Climate Data Operators CDO to do the heavy lifting in my climate data workflow and work almost exclusively with the netCDF4 file format.
And if you’re not trained in the sciences, but rather as an economist, figuring out how to use this data often comes with its own frustrations. TXT/.GRD file combination format used by the [India Meteorological Department IMD into formats that are more usable for people working with climate data.
This post is a tutorial and link to scripts that can convert the. Getting similar functionality with climate data requires a bit more lift. Albeit, the value of software like Stat/Transfer diminishes as more stat packages have comprehensive in-built conversion tools, like R’s readstata13 and read stata in pandas. If a stranger on the street gives you SPSS data, you can on-the-fly convert it to something which is Stata-readable. This is why analogous tools like Stat/Transfer for statistical databases often used by social scientists, are so helpful. Under ideal circumstances, you could easily convert data from formats you’re not familiar with (and don’t have scripts to handle), to those that you do. Climate data is packaged and distributed in too many file formats.
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