I have a NetCDF file for several years of monthly Climate data ( Precipitation,PET,Temp,etc) data from CRU 3.22 (Climate Research Unit). I want to extract a subset of the dataset namely 2000-2010. And subsequently process the datasets into raster as annual mean and annual standard deviation and also produce a mean and a standard deviation for the period. To simplify the process i want to use either Python or ModelBuilder.

How to extract,stack and calculate Standard Deviation from a NetCDF (.nc) to produce a single standard deviation and Mean image?


I used IDV ( Integrated Data Viewer) software to extract (subset the .nc files). This gives 120 ( in the 2001-2010 period) monthly data. I used IDV again to process the monthly .nc files into annual means using a built-in timeseries average formula for each year. Data>Formula>Grids>Timesteps>Average Timesteps.This yields annual means. The annual means were converted into rasters using batch processing of Make netCDF raster tool in ArcGIS 10.3.

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