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Thomas Nipen edited this page Apr 9, 2020
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[April 9, 2020: This wiki is under a lot of development right now]
Gridpp a is post-processing tool for gridded weather forecasts. It consists of a library of commonly-used methods and a command-line tool that applies these methods to forecast fields in NetCDF files.
Gridpp is written in C++ but offers python and (and soon R) bindings to the functions in the library. The tool is used at MET Norway to produce operational weather forecasts for Yr (https://www.yr.no).
- Methods for downscaling a forecast from a coarse grid to a fine grid
- Methods for calibrating the downscaled grid based on a set of parameters
- Computationally efficient neighbourhood methods to compute neighbourhood min, mean, max, and any quantile.
- Data assimilation using optimal interpolation (OI) to merge observations and gridded forecasts (deterministic or ensemble).
- Efficient data structures for nearest location lookup in a vector or grid of locations.
This wiki includes documentation and examples of how to use the gridpp command-line tool and the python interface to the gridpp library.
| Date | News |
|---|---|
| April 9, 2020 | Gridpp is being restructured to expose its API. |