Data · dataset · 2026
Spatial patterns and temporal dynamics of world carbon emissions from 1700-2100
Listed in ScienceDB
Description
This dataset comprises a synthesized compilation of global wildfire carbon dioxide emissions (WCEs) data, integrating historical reconstructions (1700–2000), contemporary satellite observations (2001–2020), and future projections (2021–2100), alongside country-level WCE trends for the top ten forest-rich nations . Historical data are derived from an ensemble of Fire Model Intercomparison Project (FireMIP) Dynamic Global Vegetation Models (DGVMs), harmonized using standardized CRU TS climate forcing and historical land-use change inputs, with validation against paleoenvironmental proxies (charcoal, ice-core black carbon).
Contemporary data aggregate four satellite-derived products (GFEDv4s, GFASv1.2, FEERv1.0, QFEDv2.6) aligned to a 0.1°×0.1° grid, processed via ensemble averaging to reduce single-product bias. Future projections combine outputs from fire-enabled DGVMs (e.g., CLM4.5, ORCHIDEE-SPITFIRE), CMIP5/6 Earth System Models, and machine learning ensembles, covering Shared Socioeconomic Pathways (SSPs: SSP1-2.6, SSP2-4.5, SSP5-8.5).
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Temporally, the dataset spans 1700–2100 with annual resolution (sub-annual for contemporary satellite data); spatially, it includes global gridded data (0.1°–0.25° resolution) and country-level statistics for Russia, Canada, the USA, Brazil, China, Democratic Republic of Congo, Australia, Indonesia, and others. Trend.xlsx consist of 301-year historical, 20-year contemporary, and 80-year future WCE time series (units: Pg CO₂ yr⁻¹), with 12–15 records per model/scenario.
Fraction.xlsx include 20-year national WCE trends (units: Pg CO₂ yr⁻¹) for 7 countries. Missing values arise from historical model uncertainties (e.g., limited representation of human-fire interactions pre-1850), contemporary satellite gaps in detecting small agricultural fires or cloud-obscured events, and future scenario divergences. Inter-dataset discrepancies of up to 40% stem from variations in satellite detection sensitivity, combustion completeness assumptions (e.g., 0–80 m burning depth in peatlands vs. grasslands), emission factors, and fire-climate-human interaction parameterizations.
The dataset is provided in NetCDF (gridded) and CSV (national/timeseries) formats, compatible with standard GIS (QGIS, ArcGIS) and statistical software (R, Python), with full metadata available upon request from the corresponding authors.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.38866 ↗
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 74% · Satellite remote sensing 65%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.38866 | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| 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 (74%) |
| 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 |