Dissolved Inorganic Carbon Deep Learning Model Output 1993-2019

Output of deep-learning model trained to predict dissolved inorganic carbon (DIC) in upper 4 km of the ocean south of -30 degrees (over the Southern Ocean). Data extends from 1993 to 2019 at 5-day temporal resolution over 1x1 degree horizontal grid and variable vertical spacing. Each individual file...

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Bibliographic Details
Main Authors: Zemskova, Varvara E, He, Tailong, Wan, Zirui, Grisouard, Nicolas
Format: Dataset
Language:unknown
Published: Scholars Portal Dataverse 2021
Subjects:
Online Access:https://dx.doi.org/10.5683/sp2/ftqytv
https://dataverse.scholarsportal.info/citation?persistentId=doi:10.5683/SP2/FTQYTV
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spelling ftdatacite:10.5683/sp2/ftqytv 2023-05-15T18:25:01+02:00 Dissolved Inorganic Carbon Deep Learning Model Output 1993-2019 Zemskova, Varvara E He, Tailong Wan, Zirui Grisouard, Nicolas 2021 https://dx.doi.org/10.5683/sp2/ftqytv https://dataverse.scholarsportal.info/citation?persistentId=doi:10.5683/SP2/FTQYTV unknown Scholars Portal Dataverse dataset Dataset 2021 ftdatacite https://doi.org/10.5683/sp2/ftqytv 2021-11-05T12:55:41Z Output of deep-learning model trained to predict dissolved inorganic carbon (DIC) in upper 4 km of the ocean south of -30 degrees (over the Southern Ocean). Data extends from 1993 to 2019 at 5-day temporal resolution over 1x1 degree horizontal grid and variable vertical spacing. Each individual file contains data for one year and includes grid and temporal information. Spatial mask is applied to exclude land, bottom topography, and regions of the ocean that are shallower than 1 km. Dataset Southern Ocean DataCite Metadata Store (German National Library of Science and Technology) Southern Ocean
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
description Output of deep-learning model trained to predict dissolved inorganic carbon (DIC) in upper 4 km of the ocean south of -30 degrees (over the Southern Ocean). Data extends from 1993 to 2019 at 5-day temporal resolution over 1x1 degree horizontal grid and variable vertical spacing. Each individual file contains data for one year and includes grid and temporal information. Spatial mask is applied to exclude land, bottom topography, and regions of the ocean that are shallower than 1 km.
format Dataset
author Zemskova, Varvara E
He, Tailong
Wan, Zirui
Grisouard, Nicolas
spellingShingle Zemskova, Varvara E
He, Tailong
Wan, Zirui
Grisouard, Nicolas
Dissolved Inorganic Carbon Deep Learning Model Output 1993-2019
author_facet Zemskova, Varvara E
He, Tailong
Wan, Zirui
Grisouard, Nicolas
author_sort Zemskova, Varvara E
title Dissolved Inorganic Carbon Deep Learning Model Output 1993-2019
title_short Dissolved Inorganic Carbon Deep Learning Model Output 1993-2019
title_full Dissolved Inorganic Carbon Deep Learning Model Output 1993-2019
title_fullStr Dissolved Inorganic Carbon Deep Learning Model Output 1993-2019
title_full_unstemmed Dissolved Inorganic Carbon Deep Learning Model Output 1993-2019
title_sort dissolved inorganic carbon deep learning model output 1993-2019
publisher Scholars Portal Dataverse
publishDate 2021
url https://dx.doi.org/10.5683/sp2/ftqytv
https://dataverse.scholarsportal.info/citation?persistentId=doi:10.5683/SP2/FTQYTV
geographic Southern Ocean
geographic_facet Southern Ocean
genre Southern Ocean
genre_facet Southern Ocean
op_doi https://doi.org/10.5683/sp2/ftqytv
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