Posted in 2018
rainymotion is a Python library for radar-based precipitation nowcasting based on optical flow techniques. The main idea is to provide a stack of open models which can serve as a transparent benchmark for further development of nowcasting techniques. An extensive verification study in Germany has shown that the
rainymotion models based on Dense optical flow are at least equivalent if not superior to state-of-the-art operational nowcasting techniques.
pysteps is a community that develops and maintains an easy to use, modular and open source python framework for precipitation short-term ensemble prediction systems.
The Python ARM Radar Toolkit, Py-ART, is an open source Python module containing a growing collection of weather radar algorithms and utilities build on top of the Scientific Python stack and distributed under the 3-Clause BSD license. Py-ART is used by the Atmospheric Radiation Measurement (ARM) Climate Research Facility for working with data from a number of precipitation and cloud radars, but has been designed so that it can be used by others in the radar and atmospheric communities to examine, processes, and analyse data from many types of weather radars.
BALTRAD offers software for exchanging weather radar data in real time, and processing data using a common “toolbox” of algorithms. The data exchange functionality can be used stand-alone, as can the toolbox. While the focus is on creating an operational system, the design is also intended to help bridge the gap between research and operational communities.
The Radx C++ package was developed at NCAR to provide support for the new CfRadial radar data format, and to provide translation between common radar data formats. Radx is designed to be run on LINUX and MacOSX platforms, but should also run on Windows under Cygwin. It comprises a C++ library, which may be used by developers, and a number of applications built on that library.
Open source - a necessary, not a sufficient criterion
- 24 May 2018
We are aware that open source software is only one component of open science: consider it a necessary, not a sufficient condition to make research transparent and reproducible. It should come along with efforts to also make radar data open.
That is why we will also try to collect information about open access to weather radar data products. Can you help us? Have a look at our open data page, and report open data repositories!
OSS short course at ERAD 2018
- 24 May 2018
We will feature another 1-day open source software course on July 1st, 2018, at the 10th European Conference on Radar in Meteorology and Hydrology. If you have not registered, yet… maybe a late-bird registration is still possible! See here for further details.