Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Peter Dominik Dueben"'
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 14, Iss 6, Pp n/a-n/a (2022)
Abstract Model bias is one of the main obstacles to improved accuracy and reliability in numerical weather prediction conducted with state‐of‐the‐art atmospheric models. To deal with model bias, a modification of the standard four‐dimensional
Externí odkaz:
https://doaj.org/article/53c1fbf707cd4417bbb90050daa937ba
Autor:
Samuel Edward Hatfield, Matthew Chantry, Peter Dominik Dueben, Philippe Lopez, Alan Jon Geer, Tim N Palmer
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 n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8dd6316110e6459a2d4c75bcde7ade25
https://zenodo.org/record/7624565
https://zenodo.org/record/7624565