The latest from the data assimilation research testbed: Powerful new assimilation algorithms, advances in efficiency and capabilities, new model and observation interfaces, and novel results
Raeder, K. D., Gharamti, M. E., Johnson, B. K., Kershaw, H., Huo, X., et al. (2023). The latest from the data assimilation research testbed: Powerful new assimilation algorithms, advances in efficiency and capabilities, new model and observation interfaces, and novel results.
Title | The latest from the data assimilation research testbed: Powerful new assimilation algorithms, advances in efficiency and capabilities, new model and observation interfaces, and novel results |
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Genre | Conference Material |
Author(s) | Kevin D. Raeder, Mohamad El Gharamti, Benjamin K. Johnson, Helen Kershaw, X. Huo, L. Kugler, T. Kodikara, Brett Raczka, Marlena Smith, J. Liu, J. Labriola, F. Ishraque, D. Hagan, Jeffrey L. Anderson |
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Publication Date | Jan 12, 2023 |
Publisher's Version of Record | |
OpenSky Citable URL | https://n2t.org/ark:/85065/d7ht2tfk |
OpenSky Listing | View on OpenSky |
CISL Affiliations | TDD, DARES |