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Record W4410495721 · doi:10.1021/acs.estlett.5c00340

OMI-Derived Mass- and Number-Conserved Estimation of Black Carbon Emissions

2025· article· en· W4410495721 on OpenAlexaboutno aff
Jian Liu, Jason Blake Cohen, Ye Feng, Shuo Wang, Kai Qin

Bibliographic record

VenueEnvironmental Science & Technology Letters · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric chemistry and aerosols
Canadian institutionsnot available
FundersChina Scholarship CouncilNational Natural Science Foundation of China
KeywordsEstimationEnvironmental scienceGreenhouse gasBiologyEcologyEconomics

Abstract

fetched live from OpenAlex

Black carbon (BC) emission estimates remain highly uncertain, especially in regions impacted by biomass burning (BB) and rapid urban expansion, where emissions are temporally variable and often misrepresented in bottom-up inventories( Liu, J.; Cohen, J. B.; He, Q.; Tiwari, P.; Qin, J. Accounting for NO x Emissions from Biomass Burning and Urbanization Doubles Existing Inventories over South, Southeast and East Asia. Commun. Earth Environ. 2024, 5 (1), 1−16. Lu, L.; Cohen, J. B.; Qin, K.; Li, X.; He, Q. Identifying Missing Sources and Reducing NO x Emissions Uncertainty over China Using Daily Satellite Data and a Mass-Conserving Method. Atmos. Chem. Phys. 2025, 25 (4), 2291−2309. Tiwari, P.; Cohen, J. B.; Lu, L.; Wang, S.; Li, X.; Guan, L.; Liu, Z.; Li, Z.; Qin, K. Multi-platform observations and constraints reveal overlooked urban sources of black carbon in Xuzhou and Dhaka. Commun. Earth Environ. 2025, 6 (1), 1−20.). This study introduces a novel top-down approach using the OMI-derived column densities of BC mass and number to estimate emissions via mass- and number-conservative methods. The analysis spans all of 2016 across South, Southeast, and East Asia, with particular focus on February to May─months marked by intensified BB and urban pollution events using an unbiased technique( Hawkins, L. R.; Abatzoglu, J. T.; Li, S.; Rupp, D. E. Anthropogenic Influence on Recent Severe Autumn Fire Weather in 414 the West Coast of the United States. Geophys. Res. Lett. 2022, 49 (4), e2021GL095496. Jain, P., Drivers and Impacts of the Record-Breaking 2023 Wildfire Season in Canada. Nat. Commun. 2024, 15 (1), 6764.). Estimated total BC emissions are 205 (+55.0, −127) Gg and 247 (+50.0, −154) Gg for the mass- and number-conserved methods, respectively, exceeding FINN and EDGAR-HTAP inventory values by factors of 15.0 and 18.2, but of similar magnitude to regional average top-down studies ( Cohen, J. B.; Wang, C. Estimating global black carbon emissions using a top-down Kalman Filter approach. J. Geophys. Res.: Atmos. 2014, 119 (1), 307−323. Chen, C., Multi-angular polarimetric remote sensing to pinpoint global aerosol absorption and direct radiative forcing. Nat. Commun. 2022, 13 (1), 7459.). These higher estimates stem from improved identification of spatially and temporally missing sources and correction of underestimated emissions. The number-conservative method yields 16.5% and 30.3% more emissions than the mass-based approach in BB and urban areas, underscoring the importance of particle number in characterizing BC. Daily uncertainty ranges of 22.7–64.2% and 23.3–62.3% indicate that better constraints on BC size distribution are critical for improving top-down emission estimates.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.004
GPT teacher head0.191
Teacher spread0.188 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2025
Admission routes1
Has abstractyes

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