Data · dataset · 2026
Global 2km×2km low uncertainty column-averaged dry air mixing ratio of methane dataset (2018-2025)
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Satellite observations of tropospheric methane (CH4) are essential for identifying greenhouse gas emission sources and evaluating climate mitigation policies.
Description
TROPOMI is one of the highest resolutions (5.5km× 7km) payloads capable of daily observation of global CH4 columns to date, while the native resolution of tens of square kilometers remains falls short in capturing point sources and emission plumes at smaller scales (e.g., <10 km²).
We report a global 2km×2km low uncertainty column-averaged dry air mixing ratio of methane (XCH4) dataset (2018-2025) version 1.0 (referred to as TRCH4S V1.0), produced by Level-2 TROPOMI CH4 product using our regridding algorithm, including monthly, seasonally, and annual products. TRCH4S is in good agreement with correlative measurements from the TCCON, with R=0.953 (higher than 0.78 of the L2 CH4 product), RMSE=12.39ppb, BIAS= -1.09 ± 12.36 ppb (-0.06 ± 0.66%), less than the mission requirement of 1.5% bias, and cross-validation with GOSAT observations confirms robust spatiotemporal consistency, with R=0.892 (higher than 0.83 of the L2 CH4 product), RMSE=18.93ppb, BIAS=-6.24 ± 17.88 ppb (-0.33 ± 0.95%), less than the mission requirement of 1.5% bias, demonstrating good fidelity in capturing spatial hotspots and low-concentration regions.
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Application examples show that TRCH4S V1.0 significantly outperforms standard 10 km aggregated products in resolving plume structures from super-emitter sources such as oil and gas fields.
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Where it is published
- DOI doi.org/10.57760/sciencedb.40767 ↗
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
- Climate change science 73% · Satellite remote sensing 65%
Related
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.40767 | 3 d ago | JSON v1 |
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|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:3702 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (73%) |
| 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 | 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 |