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PyDDA: A New Pythonic Wind Retrieval PackagePyDDA (Pythonic Direct Data Assimilation) 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.
Document ID
20190027316
Acquisition Source
Marshall Space Flight Center
Document Type
Conference Paper
Authors
Jackson, Robert
(Argonne National Laboratory Lemont, IL, United States)
Collis, Scott
(Argonne National Laboratory Lemont, IL, United States)
Lang, Timothy
(NASA Marshall Space Flight Center Huntsville, AL, United States)
Potvin, Corey
(National Oceanic and Atmospheric Administration (NOAA) Norman, OK, United States)
Munson, Todd
(Argonne National Laboratory Lemont, IL, United States)
Date Acquired
July 15, 2019
Publication Date
July 8, 2019
Subject Category
Computer Programming And Software
Meteorology And Climatology
Report/Patent Number
MSFC-E-DAA-TN68855
Meeting Information
Meeting: Annual Scientific Computing with Python Conference (SciPy 2019)
Location: Austin, TX
Country: United States
Start Date: July 8, 2019
End Date: July 14, 2019
Sponsors: Enthought, Inc.
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
Single Expert
Keywords
Radar
Radar
Winds
Tornado
Doppler
Hurricane
Retrieval
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