Implementation of a one-dimensional enthalpy sea-ice model in a simple pycnocline prediction model for sea-ice data assimilation studies
To further explore enthalpy-based sea-ice assimilation, a one-dimensional (1D) enthalpy sea-ice model is implemented into a simple pycnocline prediction model. The 1D enthalpy sea-ice model includes the physical processes such as brine expulsion, flushing, and salt diffusion. After being coupled wit...
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Online Access: | https://hdl.handle.net/20.500.11897/438751 https://doi.org/10.1007/s00376-015-5099-2 |
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ftpekinguniv:oai:localhost:20.500.11897/438751 2023-05-15T18:16:10+02:00 Implementation of a one-dimensional enthalpy sea-ice model in a simple pycnocline prediction model for sea-ice data assimilation studies Wu, Xinrong Zhang, Shaoqing Liu, Zhengyu Wu, XR (reprint author), State Ocean Adm, Natl Marine Data & Informat Serv, Key Lab Marine Environm Informat Technol, Tianjin 300171, Peoples R China. State Ocean Adm, Natl Marine Data & Informat Serv, Key Lab Marine Environm Informat Technol, Tianjin 300171, Peoples R China. Princeton Univ, Natl Ocean & Atmospher Adm, Geophys Fluid Dynam Lab, Princeton, NJ 08542 USA. Univ Wisconsin, Clin Res Ctr, Madison, WI 53706 USA. Univ Wisconsin, Dept Atmospher & Ocean Sci, Madison, WI 53706 USA. Peking Univ, Lab Ocean Atmosphere Studies, Beijing 100871, Peoples R China. 2016 https://hdl.handle.net/20.500.11897/438751 https://doi.org/10.1007/s00376-015-5099-2 en eng ADVANCES IN ATMOSPHERIC SCIENCES ADVANCES IN ATMOSPHERIC SCIENCES.2016,33,(2),193-207. 1398475 0256-1530 http://hdl.handle.net/20.500.11897/438751 1861-9533 doi:10.1007/s00376-015-5099-2 WOS:000367457500006 知网 万方 SCI sea ice enthalpy coupled model data assimilation ensemble Kalman filter CLIMATE IMPACT ADJUSTMENT SIMULATION FILTER Journal 2016 ftpekinguniv https://doi.org/20.500.11897/438751 https://doi.org/10.1007/s00376-015-5099-2 2021-08-01T10:51:17Z To further explore enthalpy-based sea-ice assimilation, a one-dimensional (1D) enthalpy sea-ice model is implemented into a simple pycnocline prediction model. The 1D enthalpy sea-ice model includes the physical processes such as brine expulsion, flushing, and salt diffusion. After being coupled with the atmosphere and ocean components, the enthalpy sea-ice model can be integrated stably and serves as an important modulator of model variability. Results from a twin experiment show that the sea-ice data assimilation in the enthalpy space can produce smaller root-mean-square errors of model variables than the traditional scheme that assimilates the observations of ice concentration, especially for slow-varying states. This study provides some insights into the improvement of sea-ice data assimilation in a coupled general circulation model. National Natural Science Foundation [41206178, 41306006, 41376015, 41376013, 41176003]; National Basic Research Program [2013CB430304]; National High-Tech RD Program [2013AA09A505]; Global Change and Air-Sea Interaction Program of China [GASI-01-01-12] SCI(E) 中国科技核心期刊(ISTIC) ARTICLE xinrong_wu@yahoo.com 2 193-207 33 Journal/Newspaper Sea ice Peking University Institutional Repository (PKU IR) Advances in Atmospheric Sciences 33 2 193 207 |
institution |
Open Polar |
collection |
Peking University Institutional Repository (PKU IR) |
op_collection_id |
ftpekinguniv |
language |
English |
topic |
sea ice enthalpy coupled model data assimilation ensemble Kalman filter CLIMATE IMPACT ADJUSTMENT SIMULATION FILTER |
spellingShingle |
sea ice enthalpy coupled model data assimilation ensemble Kalman filter CLIMATE IMPACT ADJUSTMENT SIMULATION FILTER Wu, Xinrong Zhang, Shaoqing Liu, Zhengyu Implementation of a one-dimensional enthalpy sea-ice model in a simple pycnocline prediction model for sea-ice data assimilation studies |
topic_facet |
sea ice enthalpy coupled model data assimilation ensemble Kalman filter CLIMATE IMPACT ADJUSTMENT SIMULATION FILTER |
description |
To further explore enthalpy-based sea-ice assimilation, a one-dimensional (1D) enthalpy sea-ice model is implemented into a simple pycnocline prediction model. The 1D enthalpy sea-ice model includes the physical processes such as brine expulsion, flushing, and salt diffusion. After being coupled with the atmosphere and ocean components, the enthalpy sea-ice model can be integrated stably and serves as an important modulator of model variability. Results from a twin experiment show that the sea-ice data assimilation in the enthalpy space can produce smaller root-mean-square errors of model variables than the traditional scheme that assimilates the observations of ice concentration, especially for slow-varying states. This study provides some insights into the improvement of sea-ice data assimilation in a coupled general circulation model. National Natural Science Foundation [41206178, 41306006, 41376015, 41376013, 41176003]; National Basic Research Program [2013CB430304]; National High-Tech RD Program [2013AA09A505]; Global Change and Air-Sea Interaction Program of China [GASI-01-01-12] SCI(E) 中国科技核心期刊(ISTIC) ARTICLE xinrong_wu@yahoo.com 2 193-207 33 |
author2 |
Wu, XR (reprint author), State Ocean Adm, Natl Marine Data & Informat Serv, Key Lab Marine Environm Informat Technol, Tianjin 300171, Peoples R China. State Ocean Adm, Natl Marine Data & Informat Serv, Key Lab Marine Environm Informat Technol, Tianjin 300171, Peoples R China. Princeton Univ, Natl Ocean & Atmospher Adm, Geophys Fluid Dynam Lab, Princeton, NJ 08542 USA. Univ Wisconsin, Clin Res Ctr, Madison, WI 53706 USA. Univ Wisconsin, Dept Atmospher & Ocean Sci, Madison, WI 53706 USA. Peking Univ, Lab Ocean Atmosphere Studies, Beijing 100871, Peoples R China. |
format |
Journal/Newspaper |
author |
Wu, Xinrong Zhang, Shaoqing Liu, Zhengyu |
author_facet |
Wu, Xinrong Zhang, Shaoqing Liu, Zhengyu |
author_sort |
Wu, Xinrong |
title |
Implementation of a one-dimensional enthalpy sea-ice model in a simple pycnocline prediction model for sea-ice data assimilation studies |
title_short |
Implementation of a one-dimensional enthalpy sea-ice model in a simple pycnocline prediction model for sea-ice data assimilation studies |
title_full |
Implementation of a one-dimensional enthalpy sea-ice model in a simple pycnocline prediction model for sea-ice data assimilation studies |
title_fullStr |
Implementation of a one-dimensional enthalpy sea-ice model in a simple pycnocline prediction model for sea-ice data assimilation studies |
title_full_unstemmed |
Implementation of a one-dimensional enthalpy sea-ice model in a simple pycnocline prediction model for sea-ice data assimilation studies |
title_sort |
implementation of a one-dimensional enthalpy sea-ice model in a simple pycnocline prediction model for sea-ice data assimilation studies |
publisher |
ADVANCES IN ATMOSPHERIC SCIENCES |
publishDate |
2016 |
url |
https://hdl.handle.net/20.500.11897/438751 https://doi.org/10.1007/s00376-015-5099-2 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
知网 万方 SCI |
op_relation |
ADVANCES IN ATMOSPHERIC SCIENCES.2016,33,(2),193-207. 1398475 0256-1530 http://hdl.handle.net/20.500.11897/438751 1861-9533 doi:10.1007/s00376-015-5099-2 WOS:000367457500006 |
op_doi |
https://doi.org/20.500.11897/438751 https://doi.org/10.1007/s00376-015-5099-2 |
container_title |
Advances in Atmospheric Sciences |
container_volume |
33 |
container_issue |
2 |
container_start_page |
193 |
op_container_end_page |
207 |
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1766189617549148160 |