Displaying 1 to 5 from 5 results

MetPy - MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data

  •    Python

MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data. MetPy is still in an early stage of development, and as such no APIs are considered stable. While we won't break things just for fun, many things may still change as we work through design issues.

sparse-linear-algebra - Numerical computation in native Haskell

  •    Haskell

This library provides common numerical analysis functionality, without requiring any external bindings. It aims to serve as an experimental platform for scientific computation in a purely functional setting. Mar 14, 2018: Mostly functional, but there are still a few (documented) bugs. Complex number support is still incomplete, so the users are advised to not rely on that for the time being. The issues related to Complex number handling are tracked in #51, #12, #30.




gis4wrf - QGIS toolkit 🧰 for pre- and post-processing 🔨, visualizing 🔍, and running simulations 💻 in the Weather Research and Forecasting (WRF) model 🌀

  •    Python

GIS4WRF is a free and open source QGIS plug-in to help researchers and practitioners with their Advanced Research Weather Research and Forecasting modelling workflows. GIS4WRF can be used to pre-process input data, run simulations, and visualize or post-process results. We offer MPI-enabled pre-built binary distributions for Windows, macOS and Linux through WRF-CMake. For information on how to install GIS4WRF, or check out the main documentation and tutorials, please refer to the GIS4WRF website. If you use GIS4WRF in a published work, please cite both the paper (https://doi.org/10.1016/j.envsoft.2018.10.018), and the specific version of GIS4WRF you are using (https://doi.org/10.5281/zenodo.1288569).






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