Seasonal Arctic sea ice forecasting with probabilistic deep learning
Accurate seasonal forecasts of sea ice are highly valuable, particularly in the context of sea ice loss due to global warming. A new machine learning tool for sea ice forecasting offers a substantial increase in accuracy over current physics-based dynamical model predictions.
Guardado en:
Autores principales: | , , , , , , , , , , , , , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/5d37269ed2734f7bac2303b89ff00149 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:5d37269ed2734f7bac2303b89ff00149 |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:5d37269ed2734f7bac2303b89ff001492021-12-02T15:09:18ZSeasonal Arctic sea ice forecasting with probabilistic deep learning10.1038/s41467-021-25257-42041-1723https://doaj.org/article/5d37269ed2734f7bac2303b89ff001492021-08-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-25257-4https://doaj.org/toc/2041-1723Accurate seasonal forecasts of sea ice are highly valuable, particularly in the context of sea ice loss due to global warming. A new machine learning tool for sea ice forecasting offers a substantial increase in accuracy over current physics-based dynamical model predictions.Tom R. AnderssonJ. Scott HoskingMaría Pérez-OrtizBrooks PaigeAndrew ElliottChris RussellStephen LawDaniel C. JonesJeremy WilkinsonTony PhillipsJames ByrneSteffen TietscheBeena Balan SarojiniEduardo Blanchard-WrigglesworthYevgeny AksenovRod DownieEmily ShuckburghNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-12 (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Science Q |
spellingShingle |
Science Q Tom R. Andersson J. Scott Hosking María Pérez-Ortiz Brooks Paige Andrew Elliott Chris Russell Stephen Law Daniel C. Jones Jeremy Wilkinson Tony Phillips James Byrne Steffen Tietsche Beena Balan Sarojini Eduardo Blanchard-Wrigglesworth Yevgeny Aksenov Rod Downie Emily Shuckburgh Seasonal Arctic sea ice forecasting with probabilistic deep learning |
description |
Accurate seasonal forecasts of sea ice are highly valuable, particularly in the context of sea ice loss due to global warming. A new machine learning tool for sea ice forecasting offers a substantial increase in accuracy over current physics-based dynamical model predictions. |
format |
article |
author |
Tom R. Andersson J. Scott Hosking María Pérez-Ortiz Brooks Paige Andrew Elliott Chris Russell Stephen Law Daniel C. Jones Jeremy Wilkinson Tony Phillips James Byrne Steffen Tietsche Beena Balan Sarojini Eduardo Blanchard-Wrigglesworth Yevgeny Aksenov Rod Downie Emily Shuckburgh |
author_facet |
Tom R. Andersson J. Scott Hosking María Pérez-Ortiz Brooks Paige Andrew Elliott Chris Russell Stephen Law Daniel C. Jones Jeremy Wilkinson Tony Phillips James Byrne Steffen Tietsche Beena Balan Sarojini Eduardo Blanchard-Wrigglesworth Yevgeny Aksenov Rod Downie Emily Shuckburgh |
author_sort |
Tom R. Andersson |
title |
Seasonal Arctic sea ice forecasting with probabilistic deep learning |
title_short |
Seasonal Arctic sea ice forecasting with probabilistic deep learning |
title_full |
Seasonal Arctic sea ice forecasting with probabilistic deep learning |
title_fullStr |
Seasonal Arctic sea ice forecasting with probabilistic deep learning |
title_full_unstemmed |
Seasonal Arctic sea ice forecasting with probabilistic deep learning |
title_sort |
seasonal arctic sea ice forecasting with probabilistic deep learning |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/5d37269ed2734f7bac2303b89ff00149 |
work_keys_str_mv |
AT tomrandersson seasonalarcticseaiceforecastingwithprobabilisticdeeplearning AT jscotthosking seasonalarcticseaiceforecastingwithprobabilisticdeeplearning AT mariaperezortiz seasonalarcticseaiceforecastingwithprobabilisticdeeplearning AT brookspaige seasonalarcticseaiceforecastingwithprobabilisticdeeplearning AT andrewelliott seasonalarcticseaiceforecastingwithprobabilisticdeeplearning AT chrisrussell seasonalarcticseaiceforecastingwithprobabilisticdeeplearning AT stephenlaw seasonalarcticseaiceforecastingwithprobabilisticdeeplearning AT danielcjones seasonalarcticseaiceforecastingwithprobabilisticdeeplearning AT jeremywilkinson seasonalarcticseaiceforecastingwithprobabilisticdeeplearning AT tonyphillips seasonalarcticseaiceforecastingwithprobabilisticdeeplearning AT jamesbyrne seasonalarcticseaiceforecastingwithprobabilisticdeeplearning AT steffentietsche seasonalarcticseaiceforecastingwithprobabilisticdeeplearning AT beenabalansarojini seasonalarcticseaiceforecastingwithprobabilisticdeeplearning AT eduardoblanchardwrigglesworth seasonalarcticseaiceforecastingwithprobabilisticdeeplearning AT yevgenyaksenov seasonalarcticseaiceforecastingwithprobabilisticdeeplearning AT roddownie seasonalarcticseaiceforecastingwithprobabilisticdeeplearning AT emilyshuckburgh seasonalarcticseaiceforecastingwithprobabilisticdeeplearning |
_version_ |
1718387816665186304 |