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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).

Features

• Methods for downscaling a forecast from a coarse grid to a fine grid
• Methods for calibrating a downscaled grid, such as quantile mapping
• 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.

News

Date	News
April 9, 2020	Gridpp is being restructured to offer an API to its core functions.