Data · dataset · 2024
DORS0.25°: A High-Resolution Global Ocean Subsurface Temperature Dataset Using Remote Sensing Data and In Situ Observations
Listed in ScienceDB
This product utilized Deep Forest algorithm to reconstruct a high spatial resolution (0.25° × 0.25°) global ocean subsurface (30–2000 m) temperature dataset for the period 1993–2023 (named DORS0.25°).
Description
It combined multisource surface remote sensing data (sea surface temperature [SST], absolute dynamic altitude [ADT], and the sea surface wind field, which can be decomposed into northward and eastward components [USSW and VSSW]) with georeferenced information and in situ temperature profile observations.
The DORS0.25º dataset shows high correlation with EN4-profile and ARMOR3D datasets, achieving an average R2 of 0.980 and an RMSE of 0.567°C relative to the EN4-profile. In addition, the geographical pattern of DORS0.25º is consistent with Argo gridded dataset, but captures more detailed signals. The results indicate that the reconstruction of DOR0.25º dataset in time-series and geographical pattern is reliable, and can provide data support for the study of mesoscale ocean interior dynamics and global climate change. Time Range: 1993.01-2023.12Region: GlobalLongitude: 180°W~180°ELatitude: 78.375°S~78.375°NParameters:TemperatureHorizontal Resolution: 0.25° × 0.25°Vertical Resolution: 23 levels (30-2000 m)Temporal Resolution: monthlyStorage Format: netcdf
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.07670 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%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 70% · Satellite remote sensing 65%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.07670 | 11 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 (70%) |
| 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 |