SCSDCT: South China Sea Full-coverage Daily 4-km Surface Chlorophyll-a Remote Sensing Reconstruction Dataset from Discrete Cosine Transform 2005-2019
收藏科学数据银行2021-10-21 更新2026-04-23 收录
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https://www.scidb.cn/en/detail?dataSetId=1387ffe83af54f0fb574d60e97b206b2
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资源简介：
A discrete cosine transform approach was applied to the OCCCI ocean color chlorophyll products, yielding a 15-year full-coverage daily 4-km CHL product over the South China Sea. Against the cross-validation set (5% of original data preserved) and an independent observational dataset collected from 34 cruises, evaluations suggest that DCT‑PLS has outperformed the widely applied classical data-interpolating empirical orthogonal function method. Besides, the DCT‑PLS method is characterized by more efficient computation. For the cross-validation set, the R2 is larger than 0.98, while root-mean-square error is 0.09 mg m-3. For the in-situ observation, root-mean-square error is 0.15 mg m-3. This dataset was successfully applied to study the intra-seasonal variability in the adjacent Luzon Strait (https://ieeexplore.ieee.org/document/9393603), suggesting its stronger capability compared with original gapped OCCCI data.
提供机构：
Tianhao Wang; South China Sea Institude of Oceanology; Wenfang Lu; Bangqin Huang; Zelun Wu
创建时间：
2021-08-12
