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Improving snow depth simulations on Arctic Sea ice by assimilating a passive microwave-derived record

  • Published:2023-09 Issue: Volume:213 Page:103929
  • ISSN:0165-232X
  • Container-title:Cold Regions Science and Technology
  • language:en
  • Short-container-title:Cold Regions Science and Technology

Author:

Li Haili,Ke Chang-Qing,Zhu Qinghui,Shen Xiaoyi

Funder

National Natural Science Foundation of China

Ministry of Science and Technology of the People's Republic of China

Open Society Institute

Natural Science Foundation of Jiangsu Province

National Key Research and Development Program of China

European Centre for Medium-Range Weather Forecasts

Animal Welfare Institute

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,Geotechnical Engineering and Engineering Geology

Reference60 articles.

1. On the differences in ablation seasons of Arctic and Antarctic Sea ice;Andreas;J. Atmos. Sci.,1982

2. A tutorial on particle filters for online nonlinear/Non-Gaussian Bayesian tracking;Arulampalam;IEEE Transactions on Signal Processing IEEE T Signal Proces.,2002

3. An Adjoint Examination of a Nudging Method for Data Assimilation;Bao;Mon. Weather Rev.,1997

4. Reconstruction of snow on Arctic Sea Ice;Blanchard-Wrigglesworth;J. Geophys. Res. Oceans,2018

5. Arctic Sea ice melt onset timing from passive microwave-based and surface air temperature-based methods;Bliss;J. Geophys. Res.: Atmospheres,2018

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1. Inter-comparisons of Arctic snow depth products;International Journal of Digital Earth;2024-07-11
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