PyDDA: A Pythonic Direct Data Assimilation Framework for Wind Retrievals
Authors
Corey Potvin
NOAA/OAR National Severe Storms Laboratory, and Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, Norman, OK
DOI: https://doi.org/10.5334/jors.264 | Journal eISSN: 2049-9647
Language: English
Submitted on: Feb 28, 2019
Accepted on: Sep 16, 2020
Published on: Oct 7, 2020
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
© 2020 Robert Jackson, Scott Collis, Timothy Lang, Corey Potvin, Todd Munson, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.