Using Sea Surface Temperature Observations to Constrain Upper Ocean Properties in an Arctic Sea Ice‐Ocean Data Assimilation System-Reference-Cited by-同舟云学术

Using Sea Surface Temperature Observations to Constrain Upper Ocean Properties in an Arctic Sea Ice‐Ocean Data Assimilation System

Published:2019-07 Issue:7 Volume:124 Page:4727-4743
ISSN:2169-9275
Container-title:Journal of Geophysical Research: Oceans
language:en
Short-container-title:J. Geophys. Res. Oceans

Author:

Liang Xi¹^ORCID,Losch Martin²^ORCID,Nerger Lars²,Mu Longjiang²^ORCID,Yang Qinghua³⁴⁵^ORCID,Liu Chengyan⁶⁷

Affiliation:

1. Key Laboratory of Research on Marine Hazards ForecastingNational Marine Environmental Forecasting Center Beijing China

2. Alfred‐Wegener‐InstitutHelmholtz Zentrum für Polar‐ und Meeresforschung Bremerhaven Germany

3. Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, School of Atmospheric SciencesSun Yat‐sen University Zhuhai China

4. State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric PhysicsChinese Academy of Sciences Beijing China

5. Southern Laboratory of Ocean Science and Engineering (Guangdong, Zhuhai) Zhuhai China

6. International Polar Environment Research Laboratory, College of OceanographyHohai University Nanjing China

7. School of Marine SciencesNanjing University of Information Science and Technology Nanjing China

Publisher

American Geophysical Union (AGU)

Subject

Earth and Planetary Sciences (miscellaneous),Space and Planetary Science,Geochemistry and Petrology,Geophysics,Oceanography

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2019JC015073

Reference52 articles.

1. An Ensemble Adjustment Kalman Filter for Data Assimilation

2. On the assimilation of absolute geodetic dynamic topography in a global ocean model: impact on the deep ocean state

3. Adaptive Sampling with the Ensemble Transform Kalman Filter. Part I: Theoretical Aspects

4. The MOGREPS short-range ensemble prediction system

5. Arctic sea ice variability and trends, 1979–2010

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