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Using the Pythonic Direct Data Assimilation (PyDDA) Framework for Dual-Doppler Wind Retrievals of Idealized Downburst Outflows

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Identiferoai:union.ndltd.org:mcgill.ca/oai:escholarship.mcgill.ca:4x51hq72t
Date January 2023
CreatorsSimzer, Katherine
ContributorsDjordje Romanic (Supervisor)
PublisherMcGill University
Source SetsMcGill University
Languagehttp://id.loc.gov/vocabulary/iso639-2/eng
Detected LanguageEnglish
TypeThesis
RightsAll items in eScholarship@McGill are protected by copyright with all rights reserved unless otherwise indicated.

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