Robert Jackson
Argonne National Laboratory, Argonne, IL, USA

Scott Collis
Argonne National Laboratory, Argonne, IL, USA

Timothy Lang
NASA Marshall Space Flight Center, Huntsville, AL, USA

Corey Potvin
NOAA/OAR National Severe Storms Laboratory, Norman, OK, USA
School of Meteorology, University of Oklahoma, Norman, OK, USA

Todd Munson
Argonne National Laboratory, Argonne, IL, USA

Abstract

PyDDA is a new community framework aimed at wind retrievals that depends only upon utilities in the SciPy ecosystem such as scipy, numpy, and dask. It can support retrievals of winds using information from weather radar networks constrained by high resolution forecast models over grids that cover thousands of kilometers at kilometer-scale resolution. Unlike past wind retrieval packages, this package can be installed using anaconda for easy installation and, with a focus on ease of use can retrieve winds from gridded radar and model data with just a few lines of code. The package is currently available for download at https://github.com/openradar/PyDDA.

Keywords

wind, retrieval, hurricane, tornado, radar

DOI

10.25080/Majora-7ddc1dd1-010

Bibtex entry

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Copyright © 2019 Robert Jackson et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.