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Data · dataset · 2025

Construction of a 0.01° Monthly Seamless XCO₂ Dataset over China Based on a Temporally Adaptive Forest Model

Listed in ScienceDB

Based on the time-series adaptive forest model (TAF), this dataset integrates OCO-2 / 3 satellite observation data and multi-source environmental variables to reconstruct the seamless XCO2 raster data with a spatial resolution of 0.01 ° from January 2015 to December 2022 in China.

Description

The coordinate system is WGS-1984. The dataset is suitable for regional carbon emission analysis, carbon source and sink assessment, climate modeling and policy formulation.

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Catalogue records · 1

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Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.3369412 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:field:370203enrichment · scidb cntaxonomy-embedding@1.0.0title+keywords+description (76%)
concepts[field].local:field:earth-environmentalmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:engineeringmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:humanitiesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:life-sciencesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:social-sciencemapping · scidb cnconnector:scidb_cn@1.0.0
descriptionsource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/description
license_textsource · scidb cnconnector:scidb_cn@1.0.0
publication_datesource · scidb cnconnector:scidb_cn@1.0.0
titlesource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/title