Superfloe Parameterization with Physics Constraints for Uncertainty Quantification of Sea Ice Floes-Reference-Cited by-同舟云学术

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Superfloe Parameterization with Physics Constraints for Uncertainty Quantification of Sea Ice Floes

Published:2022-10-27 Issue:4 Volume:10 Page:1384-1409
ISSN:2166-2525
Container-title:SIAM/ASA Journal on Uncertainty Quantification
language:en
Short-container-title:SIAM/ASA J. Uncertainty Quantification

Author:

Chen Nan¹,Deng Quanling²,Stechmann Samuel³

Affiliation:

1. Department of Mathematics, University of Wisconsin-Madison, Madison, WI 53706, USA ().

2. Corresponding author. School of Computing, Australian National University, Canberra, ACT 2601, Australia ().

3. Department of Mathematics and Department of Atmospheric and Oceanic Sciences, University of Wisconsin-Madison, Madison, WI 53706, USA ().

Funder

Multidisciplinary University Research Initiative

Van Vleck Visiting Assistant Professor

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Applied Mathematics,Discrete Mathematics and Combinatorics,Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

Reference43 articles.

1. Spatially and temporally varying adaptive covariance inflation for ensemble filters

2. An Ensemble Adjustment Kalman Filter for Data Assimilation

3. A Bayesian approach to Lagrangian data assimilation

4. Adaptive particle refinement and derefinement applied to the smoothed particle hydrodynamics method

5. Simulating the mechanics of sea ice using the discrete element method

Cited by 2 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. Estimating the time-evolving refractivity of a turbulent medium using optical beam measurements: a data assimilation approach;Journal of the Optical Society of America A;2024-05-06

2. Particle-Continuum Multiscale Modeling of Sea Ice Floes;Multiscale Modeling & Simulation;2024-01-30

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