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Data · dataset · 2023

OPEN: A Global 1º×1º Monthly Ocean Heat Content Dataset from Remote Sensing Data via a Neural Network Approach (1993-2022)

Listed in ScienceDB

2023-07-07 v1.1.1 updates: We have updated the OPEN OHC data to the end of 2022.

Description

See OPEN-OHCv1.1.1_1993-2022.nc. Ensemble mean across six ensembles and associated standard deviation are provided for four depth integrals (0-300m, 0-700m, 0-1500m, and 0-2000m).The OPEN dataset estimates OHC anomalies over four different depths down to 2000 m covering the near-global ocean, with a neural network method, from remote sensing-based products (SSH, SST, and Winds) to Argo-gridded OHC as training data.

The resolution is monthly and a quarter degree, while the time span is from 1993 to 2018. The work was published in Remote Sensing (mdpi.com/2072-4292/12/14/2294). It was cited by IPCC's Sixth Assessment Report (AR6), among the direct estimations of global OHC.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Oceanography 72% · Satellite remote sensing 65%
Provenance · 1 source records, 14 field assertions
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