OPEN: A Global 1º×1º Monthly Ocean Heat Content Dataset from Remote Sensing Data via a Neural Network Approach (1993-2020)
收藏科学数据银行2021-08-12 更新2026-04-23 收录
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https://www.scidb.cn/en/detail?dataSetId=8f8a64729f2b44229052dfdf20fcbbe3
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资源简介：
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 (https://www.mdpi.com/2072-4292/12/14/2294). It was cited by IPCC's Sixth Assessment Report (AR6), among the direct estimations of global OHC.
提供机构：
Xupu Geng; University of Delaware; Wenfang Lu; Haojie Zhang; Fuzhou University
创建时间：
2021-08-09
