Posts by openradar
PyScanCf – The Open Source Python based Library for Indian Meteorological Department (IMD) Doppler Weather Radar Datasets. This package provides a Python framework for working with single sweep radar data, from which sophisticated workflows can be constructed and used as input to Python based open-source softwares for processing radar data like as Py-ART, and Wradlib.
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.
openradarscience.org is online
- 19 September 2017
The open source software community specializing in weather radar has it’s new web site up and running.
- 16 September 2017
wradlib was one of the first open source software solutions to support all essential steps of the weather radar processing chain. Since 2011, wradlib has evolved to be a professional solution for interactive weather radar data analysis and operational processing, with a large international user community in academia, government agencies, and the private sector. The user forum with more than 170 active members from all around the world provides an agile platform for exchange and support.
Radar Tools for ArcGIS
This tools enable ArcGIS to order, download and visualize Level II and Level III data in vector and raster formats.
RSL in IDL
RSL in IDL is a package of routines for working with TRMM Ground Validation radar data. The programs and data structures are modeled on TRMM GV’s C-based Radar Software Library (RSL), but are written in the Interactive Data Language (IDL). The idea is to provide the utility of RSL in an IDL environment.
NASA’s Radar Software Library (RSL) was developed to support the Tropical Rainfall Measuring Mission (TRMM). It is designed to read data from a variety of weather radar formats into a uniform structure, and provide tools for working with the data. It is written in the C language.
A python package that computes various fundamental characteristics for use in radar meteorology.
Meant to process Level 1.5 to Level 2 data.
Open Source Weather Radar Virtual Machine
This projects creates a Linux Virtual Machine image (VM) with a number of open source weather radar software packages (BALTRAD, Py-ART, Radx, RSL, and wradlib) which can be run using VirtualBox on a number of host OSes.
The creation of this VM has been tested on Ubuntu 12.04 and Mac OS X 10.9 hosts running vagrant 1.5.4. Other host should be supported if a recent version of vagrant (1.3+) and VirtualBox can be installed.
MultiDop is a Python-based interface between the C-based DDA code developed at University of Oklahoma and the Python Atmospheric Radiation Measurement Radar Toolkit (Py-ART) software developed at Argonne National Lab. Use this software to perform 3D wind analyses using 2-3 independent Doppler radars.
The National Oceanic and Atmospheric Administration (NOAA) regularly produces national 3D radar reflectivity mosaics via its Multi-Radar/Multi-Sensor (MRMS) system. These mosaics are wonderful for storm and precipitation analysis and research, but they are distributed in odd formats that NOAA is ever changing. Sometimes you just want to read a file and make a plot! This is what MMM-Py is for. With it, you can read any version of the MRMS radar mosaics, past or present, and you can analyze, plot, subsection, and output custom mosaics of your own, which MMM-Py can ingest later. MMM-Py is free and open source. It is capable of producing publication-ready figures and analyses, but it also can do quicklook plots so you can check out the cool storm that just happened.
Visualization tool leveraging PyArt package. Allows browsing data and accessing some PyArt calculations. Also working toward Solo-like editing alternative.