Modeling the mixed layer depth in Southern Ocean using high resolution regional coupled ocean sea ice model

Bibliographic Details
Published in:Modeling Earth Systems and Environment
Main Authors: Kumar, Anurag, Bhatla, R.
Other Authors: Science and Engineering Research Board
Format: Article in Journal/Newspaper
Language:English
Published: Springer Science and Business Media LLC 2021
Subjects:
Computers in Earth Sciences
Statistics, Probability and Uncertainty
General Agricultural and Biological Sciences
General Environmental Science
Southern Ocean
Sea ice
Online Access:http://dx.doi.org/10.1007/s40808-021-01321-2
https://link.springer.com/content/pdf/10.1007/s40808-021-01321-2.pdf
https://link.springer.com/article/10.1007/s40808-021-01321-2/fulltext.html
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spelling crspringernat:10.1007/s40808-021-01321-2 2023-05-15T18:17:19+02:00 Modeling the mixed layer depth in Southern Ocean using high resolution regional coupled ocean sea ice model Kumar, Anurag Bhatla, R. Science and Engineering Research Board 2021 http://dx.doi.org/10.1007/s40808-021-01321-2 https://link.springer.com/content/pdf/10.1007/s40808-021-01321-2.pdf https://link.springer.com/article/10.1007/s40808-021-01321-2/fulltext.html en eng Springer Science and Business Media LLC https://www.springer.com/tdm https://www.springer.com/tdm Modeling Earth Systems and Environment ISSN 2363-6203 2363-6211 Computers in Earth Sciences Statistics, Probability and Uncertainty General Agricultural and Biological Sciences General Environmental Science journal-article 2021 crspringernat https://doi.org/10.1007/s40808-021-01321-2 2022-01-04T09:56:58Z Article in Journal/Newspaper Sea ice Southern Ocean Springer Nature (via Crossref) Southern Ocean Modeling Earth Systems and Environment 8 3 3635 3645
institution Open Polar
collection Springer Nature (via Crossref)
op_collection_id crspringernat
language English
topic Computers in Earth Sciences
Statistics, Probability and Uncertainty
General Agricultural and Biological Sciences
General Environmental Science
spellingShingle Computers in Earth Sciences
Statistics, Probability and Uncertainty
General Agricultural and Biological Sciences
General Environmental Science
Kumar, Anurag
Bhatla, R.
Modeling the mixed layer depth in Southern Ocean using high resolution regional coupled ocean sea ice model
topic_facet Computers in Earth Sciences
Statistics, Probability and Uncertainty
General Agricultural and Biological Sciences
General Environmental Science
author2 Science and Engineering Research Board
format Article in Journal/Newspaper
author Kumar, Anurag
Bhatla, R.
author_facet Kumar, Anurag
Bhatla, R.
author_sort Kumar, Anurag
title Modeling the mixed layer depth in Southern Ocean using high resolution regional coupled ocean sea ice model
title_short Modeling the mixed layer depth in Southern Ocean using high resolution regional coupled ocean sea ice model
title_full Modeling the mixed layer depth in Southern Ocean using high resolution regional coupled ocean sea ice model
title_fullStr Modeling the mixed layer depth in Southern Ocean using high resolution regional coupled ocean sea ice model
title_full_unstemmed Modeling the mixed layer depth in Southern Ocean using high resolution regional coupled ocean sea ice model
title_sort modeling the mixed layer depth in southern ocean using high resolution regional coupled ocean sea ice model
publisher Springer Science and Business Media LLC
publishDate 2021
url http://dx.doi.org/10.1007/s40808-021-01321-2
https://link.springer.com/content/pdf/10.1007/s40808-021-01321-2.pdf
https://link.springer.com/article/10.1007/s40808-021-01321-2/fulltext.html
geographic Southern Ocean
geographic_facet Southern Ocean
genre Sea ice
Southern Ocean
genre_facet Sea ice
Southern Ocean
op_source Modeling Earth Systems and Environment
ISSN 2363-6203 2363-6211
op_rights https://www.springer.com/tdm
https://www.springer.com/tdm
op_doi https://doi.org/10.1007/s40808-021-01321-2
container_title Modeling Earth Systems and Environment
container_volume 8
container_issue 3
container_start_page 3635
op_container_end_page 3645
_version_ 1766191449064341504

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