Ensemble Data Assimilation: Algorithms and Software
Ensemble data assimilation is nowadays applied to various problems to estimate a model state and model parameters by combining the model predictions with observational data. At the Alfred Wegener Institute, the assimilation focuses on ocean-sea ice models and coupled ocean-biogeochemical models. The...
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ftawi:oai:epic.awi.de:36550 2024-09-15T18:35:22+00:00 Ensemble Data Assimilation: Algorithms and Software Nerger, Lars 2014-10-10 application/pdf https://epic.awi.de/id/eprint/36550/ https://epic.awi.de/id/eprint/36550/1/Nerger_EnsDA_NMEFC_2014-10-10.pdf https://hdl.handle.net/10013/epic.44357 https://hdl.handle.net/10013/epic.44357.d001 unknown https://epic.awi.de/id/eprint/36550/1/Nerger_EnsDA_NMEFC_2014-10-10.pdf https://hdl.handle.net/10013/epic.44357.d001 Nerger, L. orcid:0000-0002-1908-1010 (2014) Ensemble Data Assimilation: Algorithms and Software , Seminar at National Marine Environmental Forecasting Center (NMEFC), Beijing, China, October 10, 2014 . hdl:10013/epic.44357 EPIC3Seminar at National Marine Environmental Forecasting Center (NMEFC), Beijing, China, October 10, 2014 Conference notRev 2014 ftawi 2024-06-24T04:11:05Z Ensemble data assimilation is nowadays applied to various problems to estimate a model state and model parameters by combining the model predictions with observational data. At the Alfred Wegener Institute, the assimilation focuses on ocean-sea ice models and coupled ocean-biogeochemical models. The high dimension of realistic models requires particularly efficient algorithms that are also usable on supercomputers. For the application of such filters, the Parallel Data Assimilation Framework PDAF (http://pdaf.awi.de) was developed. PDAF provides an environment for ensemble integration as well as ensemble filters to assimilate observations. PDAF also provides synergies by allowing us to use the same data assimilation software for different models. The talk will provide an overview of developments in ensemble Kalman filters for high-dimensional models as well as on implementing ensemble data assimilation systems. Conference Object Sea ice Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) |
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Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) |
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description |
Ensemble data assimilation is nowadays applied to various problems to estimate a model state and model parameters by combining the model predictions with observational data. At the Alfred Wegener Institute, the assimilation focuses on ocean-sea ice models and coupled ocean-biogeochemical models. The high dimension of realistic models requires particularly efficient algorithms that are also usable on supercomputers. For the application of such filters, the Parallel Data Assimilation Framework PDAF (http://pdaf.awi.de) was developed. PDAF provides an environment for ensemble integration as well as ensemble filters to assimilate observations. PDAF also provides synergies by allowing us to use the same data assimilation software for different models. The talk will provide an overview of developments in ensemble Kalman filters for high-dimensional models as well as on implementing ensemble data assimilation systems. |
format |
Conference Object |
author |
Nerger, Lars |
spellingShingle |
Nerger, Lars Ensemble Data Assimilation: Algorithms and Software |
author_facet |
Nerger, Lars |
author_sort |
Nerger, Lars |
title |
Ensemble Data Assimilation: Algorithms and Software |
title_short |
Ensemble Data Assimilation: Algorithms and Software |
title_full |
Ensemble Data Assimilation: Algorithms and Software |
title_fullStr |
Ensemble Data Assimilation: Algorithms and Software |
title_full_unstemmed |
Ensemble Data Assimilation: Algorithms and Software |
title_sort |
ensemble data assimilation: algorithms and software |
publishDate |
2014 |
url |
https://epic.awi.de/id/eprint/36550/ https://epic.awi.de/id/eprint/36550/1/Nerger_EnsDA_NMEFC_2014-10-10.pdf https://hdl.handle.net/10013/epic.44357 https://hdl.handle.net/10013/epic.44357.d001 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
EPIC3Seminar at National Marine Environmental Forecasting Center (NMEFC), Beijing, China, October 10, 2014 |
op_relation |
https://epic.awi.de/id/eprint/36550/1/Nerger_EnsDA_NMEFC_2014-10-10.pdf https://hdl.handle.net/10013/epic.44357.d001 Nerger, L. orcid:0000-0002-1908-1010 (2014) Ensemble Data Assimilation: Algorithms and Software , Seminar at National Marine Environmental Forecasting Center (NMEFC), Beijing, China, October 10, 2014 . hdl:10013/epic.44357 |
_version_ |
1810478526476845056 |