Data · dataset · 2026
A Global Bias-corrected XCO2 Dataset Based on GOSAT-2 Satellite Observations (2019-2025)
Listed in ScienceDB
This dataset is a global XCO2 deviation correction dataset generated based on GOSAT-2 satellite NIES Level-2 XCO2 product.
Description
The time range is from March 1, 2019 to September 30, 2025, and the spatial scope covers the whole world. The spatial resolution is consistent with the original observation footprint of GOSAT-2, which is a circular footprint with a diameter of approximately 9.7 km. Due to factors such as satellite orbit coverage, cloud and aerosol influence, and quality control screening, data may not have valid observation records on some dates or regions.
The main sources of data errors are satellite raw inversion errors and errors introduced by bias correction. Based on TCCON verification, the RMSE of land and marine areas after correction are approximately 1.94 ppm and 1.95 ppm, respectively. The data is stored in daily NetCDF files, totaling 2312 files, with file naming format GCC-GOSAT2/yyyymmdd.nc. Each data file is recorded based on a single satellite observation footprint, with the main variables including latitude、longitude、time、xco2_original、xco2_bias_corrected、correction_value、xco2_error_original、xco2_bias_corrected_error、land_fraction、surface_type And correctivion_category, etc.
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The units of XCO2 and error variables are ppm, latitude and longitude are degrees, surface height is meters, surface pressure difference is hPa, and surface type score is percentage. It can be read and analyzed using software such as Python, MATLAB, R, Panoply, HDFView, etc.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.j00232.00012 ↗
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
- Satellite remote sensing 65%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.j00232.00012 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| 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[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_text | source · scidb cn | connector:scidb_cn@1.0.0 | |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |