Estimating model parameters with ensemble-based data assimilation: A review
Weather forecast and earth system models usually have a number of parameters, which are often optimized manually by trial and error. Several studies have proposed objective methods to estimate model parameters using data assimilation techniques. This paper provides a review of the previous studies a...
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| Formato: | JOUR |
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| Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_00261165_v91_n2_p79_Ruiz |
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todo:paper_00261165_v91_n2_p79_Ruiz2023-10-03T14:36:51Z Estimating model parameters with ensemble-based data assimilation: A review Ruiz, J.J. Pulido, M. Miyoshi, T. Data assimilation Ensemble Kalman filter Parameter estimation atmospheric general circulation model climate prediction data assimilation ensemble forecasting Kalman filter weather forecasting Weather forecast and earth system models usually have a number of parameters, which are often optimized manually by trial and error. Several studies have proposed objective methods to estimate model parameters using data assimilation techniques. This paper provides a review of the previous studies and illustrates the application of ensemble-based data assimilation to the estimation of temporally varying model parameters in a simple low-resolution atmospheric general circulation model known as the SPEEDY model. As shown in previous studies, our results highlight that data assimilation techniques are efficient optimization methods which can be used for parameter estimation in complex geophysical models and that the estimated parameters have a positive effect on short-to medium-range numerical weather prediction. © 2013, Meteorological Society of Japan. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_00261165_v91_n2_p79_Ruiz |
| institution |
Universidad de Buenos Aires |
| institution_str |
I-28 |
| repository_str |
R-134 |
| collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
| topic |
Data assimilation Ensemble Kalman filter Parameter estimation atmospheric general circulation model climate prediction data assimilation ensemble forecasting Kalman filter weather forecasting |
| spellingShingle |
Data assimilation Ensemble Kalman filter Parameter estimation atmospheric general circulation model climate prediction data assimilation ensemble forecasting Kalman filter weather forecasting Ruiz, J.J. Pulido, M. Miyoshi, T. Estimating model parameters with ensemble-based data assimilation: A review |
| topic_facet |
Data assimilation Ensemble Kalman filter Parameter estimation atmospheric general circulation model climate prediction data assimilation ensemble forecasting Kalman filter weather forecasting |
| description |
Weather forecast and earth system models usually have a number of parameters, which are often optimized manually by trial and error. Several studies have proposed objective methods to estimate model parameters using data assimilation techniques. This paper provides a review of the previous studies and illustrates the application of ensemble-based data assimilation to the estimation of temporally varying model parameters in a simple low-resolution atmospheric general circulation model known as the SPEEDY model. As shown in previous studies, our results highlight that data assimilation techniques are efficient optimization methods which can be used for parameter estimation in complex geophysical models and that the estimated parameters have a positive effect on short-to medium-range numerical weather prediction. © 2013, Meteorological Society of Japan. |
| format |
JOUR |
| author |
Ruiz, J.J. Pulido, M. Miyoshi, T. |
| author_facet |
Ruiz, J.J. Pulido, M. Miyoshi, T. |
| author_sort |
Ruiz, J.J. |
| title |
Estimating model parameters with ensemble-based data assimilation: A review |
| title_short |
Estimating model parameters with ensemble-based data assimilation: A review |
| title_full |
Estimating model parameters with ensemble-based data assimilation: A review |
| title_fullStr |
Estimating model parameters with ensemble-based data assimilation: A review |
| title_full_unstemmed |
Estimating model parameters with ensemble-based data assimilation: A review |
| title_sort |
estimating model parameters with ensemble-based data assimilation: a review |
| url |
http://hdl.handle.net/20.500.12110/paper_00261165_v91_n2_p79_Ruiz |
| work_keys_str_mv |
AT ruizjj estimatingmodelparameterswithensemblebaseddataassimilationareview AT pulidom estimatingmodelparameterswithensemblebaseddataassimilationareview AT miyoshit estimatingmodelparameterswithensemblebaseddataassimilationareview |
| _version_ |
1807318669020102656 |