Parameter sensitivity analysis of a sea ice melt pond parametrisation and its emulation using neural networks-Reference-Cited by-同舟云学术

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Parameter sensitivity analysis of a sea ice melt pond parametrisation and its emulation using neural networks

Published:2024-07 Issue: Volume:79 Page:102231
ISSN:1877-7503
Container-title:Journal of Computational Science
language:en
Short-container-title:Journal of Computational Science

Author:

Driscoll Simon^ORCID,Carrassi Alberto,Brajard Julien,Bertino Laurent,Bocquet Marc,Ólason Einar Örn

Publisher

Elsevier BV

Reference67 articles.

1. ECCO2: High resolution global ocean and sea ice data synthesis;Menemenlis;Mercator Ocean Q. Newslett.,2008

2. Arctic sea-ice decline weakens the atlantic meridional overturning circulation;Sévellec;Nature Clim. Change,2017

3. Dynamical mechanisms of Arctic amplification;Dethloff;Ann. NY Acad. Sci.,2019

4. Arctic sea ice thickness, volume, and multiyear ice coverage: losses and coupled variability (1958–2018);Kwok;Environ. Res. Lett.,2018

5. On Sea Ice;Weeks,2010

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1. ARISGAN: Extreme super-resolution of arctic surface imagery using generative adversarial networks;Frontiers in Remote Sensing;2024-08-06

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