Fakultät für Mathematik, Informatik und Naturwissenschaften, Fernerkundung & Assimilation, Universität Hamburg, Bundesstr. 53, 20146 Hamburg, Germany
Abhirup Banerjee
Fakultät für Mathematik, Informatik und Naturwissenschaften, Fernerkundung & Assimilation, Universität Hamburg, Bundesstr. 53, 20146 Hamburg, Germany
Armin Köhl
Fakultät für Mathematik, Informatik und Naturwissenschaften, Fernerkundung & Assimilation, Universität Hamburg, Bundesstr. 53, 20146 Hamburg, Germany
Detlef Stammer
Fakultät für Mathematik, Informatik und Naturwissenschaften, Fernerkundung & Assimilation, Universität Hamburg, Bundesstr. 53, 20146 Hamburg, Germany
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Total article views: 1,864 (including HTML, PDF, and XML)
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BibTeX: 68
EndNote: 77
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Since the preprint corresponding to this journal article was posted outside of Copernicus Publications, the preprint-related metrics are limited to HTML views.
Total article views: 3,557 (including HTML, PDF, and XML)
Thereof 3,476 with geography defined
and 81 with unknown origin.
Total article views: 1,864 (including HTML, PDF, and XML)
Thereof 1,783 with geography defined
and 81 with unknown origin.
Total article views: 1,693 (including HTML, PDF, and XML)
Thereof 1,693 with geography defined
and 0 with unknown origin.
This work introduces and evaluates two new tandem data assimilation techniques. The first uses two synchronised forward model runs before a single adjoint model run to consistently increase the precision of the parameter estimation. The second uses a lower-resolution model with adjoint equations to drive a higher-resolution target model through data assimilation with no loss in precision compared to data assimilation without tandem methods.
This work introduces and evaluates two new tandem data assimilation techniques. The first uses...