Data · dataset · 2022
SCSDCT: South China Sea Full-coverage Daily 4-km Surface Chlorophyll-a Remote Sensing Reconstruction Dataset from Discrete Cosine Transform 2005-2019
Listed in ScienceDB
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.
Description
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.
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This dataset was successfully applied to study the intra-seasonal variability in the adjacent Luzon Strait (ieeexplore.ieee.org/document/9393603), suggesting its stronger capability compared with original gapped OCCCI data.
Links
Where it is published
- DOI doi.org/10.11922/sciencedb.01066 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.11922%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Ocean & Atmospheric Science · Social Science
- Inferred from text
- Oceanography 74% · Satellite remote sensing 65%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.11922/sciencedb.01066 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:3708 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (74%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:ocean-atmospheric | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[modality].local:modality:remote-sensing | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/rights |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |