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:
Southern Ocean
Online Access:https://dx.doi.org/10.5683/sp2/ftqytv
https://dataverse.scholarsportal.info/citation?persistentId=doi:10.5683/SP2/FTQYTV
Description
Summary: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.

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