Improving the Met Office's Forecast Ocean Assimilation Model ( <scp>FOAM</scp> ) with the assimilation of satellite‐derived sea‐ice thickness data from <scp>CryoSat</scp> ‐2 and <scp>SMOS</scp> in the Arctic-Reference-Cited by-同舟云学术

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

Published:2022-02-18 Issue:744 Volume:148 Page:1144-1167
ISSN:0035-9009
Container-title:Quarterly Journal of the Royal Meteorological Society
language:en
Short-container-title:Quart J Royal Meteoro Soc

Author:

Mignac Davi¹^ORCID,Martin Matthew¹^ORCID,Fiedler Emma¹^ORCID,Blockley Ed¹,Fournier Nicolas¹

Affiliation:

1. Met Office Exeter UK

Funder

Horizon 2020 Framework Programme

Publisher

Wiley

Subject

Atmospheric Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/qj.4252

Reference67 articles.

1. The use of operational ice charts for evaluating passive microwave ice concentration data

2. Barbosa Aguiar A. Waters J. Price M. Inverarity G. Pequignet C. Maksymczuk J. Smout‐Day K. Martin M. Bell M. King R. While J.andSiddorn J. (2022)The new Met Office global ocean forecast system at 1/12th degree resolution.

3. The Navy's Earth System Prediction Capability: A New Global Coupled Atmosphere‐Ocean‐Sea Ice Prediction System Designed for Daily to Subseasonal Forecasting

4. Aspects of ECMWF model performance in polar areas

5. The TOPAZ monitoring and prediction system for the Atlantic and Arctic Oceans

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