Primary Contact of the Product:
Varvara Zemskova
DIC DLMSAT
Product Links
DIC DLMSAT: 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). The deep learning model uses ocean surface or near-surface satellite measurements to estimate the DIC in the ocean interior. 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.
| Authors | Affiliation |
|---|---|
| Varvara Zemskova | (University of Waterloo, Canada) |
| Tailong He | (Harvard, USA) |
| Zirui Wan | (University of Albany, USA) |
| Nicolas Grisouard | (University of Toronto, Canada) |
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