![]() This region has been subject to deforestation, observed as a decrease in ET. Sample dataįor this exercise, we’ll use a subset of monthly evapotranspiration (ET) from ET-Amazon for the state of Rondônia in Brazil. You can use the CF convention guidelines as a reference for the documentation of netCDF files. Additionally, in this blog we’re following the Climate and Forecast (CF) convention as a standard for the description of attributes, names of variables, and units. You can review some basic concepts on what is netCDF data, fundamentals of netCDF data storage, or accessing multidimensional scientific data using python. NetCDF is a powerful data format, but it requires some prior knowledge on how its structure works. In this blog, we’ll show you how to create a netCDF file on python from common formats such as: (1) point shapefile, (2) tiff raster, and (3) comma-separated files. Most of the time, we already have ready-to-use netCDF files, but we can also create netCDF files from any multidimensional data set. NetCDFs are leveraged within the ArcGIS platform for superb multidimensional analysis or slick 3D visualizations. NetCDF is a multidimensional scientific data format especially useful for the representation of complex spatial information (x, y) that also varies in depth (z) or time (t). ![]()
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