-
Notifications
You must be signed in to change notification settings - Fork 17
Home
Thomas Nipen edited this page Jan 25, 2024
·
81 revisions
Gridpp is a software package to post-process gridded weather forecasts. It consists of a library of commonly-used post-processing methods and a command-line tool that applies these methods to forecast fields in NetCDF files.
Gridpp is written in C++ but offers python 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, such as bilinear or nearest neighbour methods.
- Methods for calibrating a downscaled grid, such as quantile mapping.
- Computationally efficient neighbourhood methods to compute neighbourhood min, mean, max, and any quantile.
- Functions for diagnosing variables, such as relative humidity from temperature and dewpoint temperature.
- Data assimilation methods such as optimal interpolation (OI) to merge observations and gridded forecasts
- 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 python interface to the gridpp library and the gridpp command-line tool.
The reference for available functions in the gridpp API is found here.
| Date | News |
|---|---|
| Jan 25, 2024 | Version 0.7.0 released |
| Oct 14, 2022 | Version 0.6.0 released |
| Nov 9, 2020 | Version 0.5.0 released |
| June 19, 2020 | Documentation in this wiki is significantly updated |
| June 15, 2020 | A prototype version of gridpp library v0.4.2 is available. |
| April 9, 2020 | Gridpp is being restructured to offer an API to its core functions. |