Building Tangent‐Linear and Adjoint Models for Data Assimilation With Neural Networks
Building Tangent‐Linear and Adjoint Models for Data Assimilation With Neural Networks
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Washington: John Wiley & Sons, Inc
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English
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Washington: John Wiley & Sons, Inc
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We assess the ability of neural network emulators of physical parametrization schemes in numerical weather prediction models to aid in the construction of linearized models required by four‐dimensional variational (4D‐Var) data assimilation. Neural networks can be differentiated trivially, and so if a physical parametrization scheme can be accurate...
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Building Tangent‐Linear and Adjoint Models for Data Assimilation With Neural Networks
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TN_cdi_doaj_primary_oai_doaj_org_article_541ee394ec4045ef8f348f8ed98f6e2e
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_541ee394ec4045ef8f348f8ed98f6e2e
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ISSN
1942-2466
E-ISSN
1942-2466
DOI
10.1029/2021MS002521
