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Tools for downscaling of climate reanalysis data.
R Python
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Extract temperature from weather station data set. Staion T data should be in csv format: Datetime, value YYYY-MM-DD hh:mm:ss,float, e.g. 2014-09-29 08:34:00,20.14

Download ERA Interim data:

  • temperature 2m
  • total cloud cover
  • water vapour
  • wind speed
  • wind direction
  • geopotential height
  • mean sea level pressure

Convert from GRIB to netCDF format.

Edit config template and save as a new file.

Edit T_downscaling.R and provide the path and filename of your config file.

Run the code.



  • Uncertainty estimation
  • Improve handling of time difference
  • Flexible handling of time steps (time step in h as config parameter)
  • Status bars for file imports
  • Check for and remove redundant variables created during runtime

Development goals

  • Precipitation downscaling

What is this repository for?

  • Quick summary
  • Version

How do I get set up?

  • Summary of set up
  • Configuration
  • Dependencies
  • Database configuration
  • How to run tests
  • Deployment instructions

Contribution guidelines

  • Writing tests
  • Code review
  • Other guidelines

Who do I talk to?

  • Repo owner or admin
  • Other community or team contact
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