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Data · dataset · 2025

China XCO2 seamless daily data set

Listed in Teesside University Research Data Repository

Description

Based on the observed values of OCO-2 XCO2 concentration, meteorological, vegetation, terrain and other variables, the 0.05° high-precision seamless daily XCO2 dataset in China from January 1, 2015 to March 31, 2024 was constructed by using the XGBoost model through multi-source data fusion.The results of model cross-validation (R²= 0.984, RMSE=0.894ppm) and ground station auxiliary validation (R²=0.912, RMSE= 1.720ppm) indicate that the data set constructed in this study has better accuracy and is an effective supplement to the existing observational data sets of XCO2 concentration.

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Provenance · 1 source records, 9 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/xpmtw4xrw9.120 h agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].local:field:ocean-atmosphericmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[modality].local:modality:remote-sensingmapping · researchdata tees ac ukvocabulary-mapper@1.0.0keywords['Remote Sensing']
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