Assimilation of SMOS sea ice thickness in the regional ice prediction system
Author:
Affiliation:
1. Data Assimilation and Satellite Meteorology Research Section, Meteorological Research Division, Environment and Climate Change Canada, Dorval, Canada
Funder
Natural Sciences and Engineering Research Council of Canada
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/01431161.2021.1897183
Reference42 articles.
1. Utilizing CryoSat-2 sea ice thickness to initialize a coupled ice-ocean modeling system
2. Improving Met Office seasonal predictions of Arctic sea ice using assimilation of CryoSat-2 thickness
3. Assimilation of SSMIS and ASCAT data and the replacement of highly uncertain estimates in the Environment Canada Regional Ice Prediction System
4. A New Environment Canada Regional Ice Analysis System
5. Analysis and Forecasting of Sea Ice Conditions with Three-Dimensional Variational Data Assimilation and a Coupled Ice–Ocean Model
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Impact of satellite thickness data assimilation on bias reduction in Arctic sea ice concentration;npj Climate and Atmospheric Science;2023-06-24
2. Improving the Met Office's Forecast Ocean Assimilation Model ( FOAM ) with the assimilation of satellite‐derived sea‐ice thickness data from CryoSat ‐2 and SMOS in the Arctic;Quarterly Journal of the Royal Meteorological Society;2022-02-18
3. Improving the Met Office's Forecast Ocean Assimilation Model (FOAM) with the assimilation of satellite-derived sea-ice thickness data from CryoSat-2 and SMOS in the Arctic;Q J ROY METEOR SOC;2022
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