A Python interface to the Fortran-based Parallel Data Assimilation Framework: pyPDAF v1.0.2

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Pubblicato in:	Geoscientific Model Development vol. 18, no. 21 (2025), p. 8235-8253
Autore principale:	Chen, Yumeng
Altri autori:	Nerger, Lars, Lawless, Amos S.
Pubblicazione:	Copernicus GmbH
Soggetti:	Ocean models Ocean-atmosphere interaction Biogeochemistry Sea ice Atmospheric models Atmosphere Marine ecosystems Data assimilation Machine learning Python Localization Ecosystem models Kalman filters System theory Numerical models State vectors Algorithms Vectors Software Parameter estimation FORTRAN Ocean-atmosphere system Ensemble forecasting Oceans Climate prediction Climate models Mathematical models Data collection Design Atmospheric research Complexity Data exchange Environmental
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