Data · dataset · 2026
A Surface Evapotranspiration Dataset for Southwest China Based on Multi-Model Fusion
Listed in ScienceDB
This dataset is developed based on multi-model simulations from CMIP6 and constructed using the Bayesian Model Averaging (BMA) approach to generate a monthly gridded evapotranspiration (ET) dataset over Southwest China.
Description
The workflow is as follows. First, the performance of 28 CMIP6 models in simulating ET was systematically evaluated, and the five best-performing models were selected.
Then, the high-quality SiTHv2 dataset was used as a reference, and the Quantile Delta Mapping (QDM) method was applied to bias-correct both historical simulations and future projections of the selected models, thereby reducing systematic errors and improving simulation reliability. Based on these corrected outputs, the BMA method was employed to integrate multi-model results. The final product is a spatially consistent ET dataset with a resolution of 0.1°, covering both historical and future periods.
Read the rest (2 more)
Specifically, it includes CMIP6 historical all-forcing simulations for 1982–2020 and three Shared Socioeconomic Pathway (SSP) scenarios for 2026–2100 (SSP1-2.6, SSP2-4.5, and SSP5-8.5). All data processing procedures were implemented in R. The dataset has a total size of 299 MB and consists of two types of GeoTIFF files: (1) BMA_hist_YYYY_YYYY.tif, representing monthly ET during the historical period (1982–2020), approximately 44 MB; and (2) BMA_fut_sspXXX_YYYY_YYYY.tif, representing monthly ET under future scenario XXX (2026–2100), approximately 255 MB.
The spatial coverage ranges from 78.4°E to 110.2°E and 21.1°N to 36.5°N, encompassing Sichuan Province, Chongqing Municipality, Yunnan Province, Guizhou Province, and the Xizang Autonomous Region.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.j00001.01706 ↗
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 · Social Science
- Inferred from text
- Agriculture, land and farm management 71% · Simulation 75%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.j00001.01706 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:3002 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (71%) |
| 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:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[method].local:method:simulation | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| 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 |