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Record W3209736654 · doi:10.5281/zenodo.3754964

CEDS_GBD-MAPS: Global Anthropogenic Emission Inventory of NOx, SO2, CO, NH3, NMVOCs, BC, and OC from 1970-2017

2020· dataset· en· W3209736654 on OpenAlexaff
Erin E. McDuffie, Steven J. Smith, Patrick O’Rourke, Kushal Tibrewal, Chandra Venkataraman, Eloïse A. Marais, Bo Zheng, Monica Crippa, Michael Bräuer, Randall V. Martin

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2020
Typedataset
Languageen
FieldEnvironmental Science
TopicAtmospheric and Environmental Gas Dynamics
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsNOxEmission inventoryEnvironmental scienceAtmospheric sciencesGeographyMeteorologyAir quality indexChemistryGeologyCombustion

Abstract

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CEDS_GBD-MAPS: Global Anthropogenic Emission Inventory of NOx, SO2, CO, NH3, NMVOCs, BC, and OC from 1970-2017 version tag: 2020_v1.0 (April 2020) Annual anthropogenic emissions of 7 key atmospheric pollutants from 1970 - 2017, produced using the Community Emissions Data System, updated for the Global Burden of Disease - Major Air Pollution Sources project (CEDS_GBD-MAPS). Emissions are provided for NOx, SO2, CO, NH3, NMVOCs, Black Carbon (BC), and Organic Carbon (OC) from 11 anthropogenic sectors and four fuel categories as both annual country totals and global gridded emission fluxes (0.5 x 0.5 degree resolution). Note: The CEDS_GBD-MAPS inventory does not include emissions from open fires or aircraft. Sectors: 1. Agriculture (non-combustion sources only, excludes open fires) 2. Energy (transformation and extraction) 3. Industry (combustion and non-combustion processes) 4. On-Road Transportation 5. Off-Road/Non-Road Transportation (rail, domestic navigation, other) 6. Residential Combustion 7. Commercial Combustion 8. Other Combustion 9. Solvents 10. Waste (disposal and handling) 11. International Shipping Fuel Categories: 1. Total Coal Combustion (hard coal + brown coal + coal coke) 2. Solid Biofuel Combustion 3. Liquid Fuel (light oil + heavy oil + diesel oil) plus Natural Gas Combustion 4. CEDS Process Source Categories (see McDuffie, et al., (ESSD) 2020) for further details. Note: Total anthropogenic emissions = the sum of fuel categories 1-4 Zip File Details: The CEDS_GBD-MAPS inventory is available in three different formats: 1. CEDS_GBD-MAPS_annual_country_total_emissions_by_sector_fuel_1970-2017.zip Zip file contains 7 .csv files that each contain a complete times series (1970-2017) of total annual anthropogenic emissions of each compound from each country, as a function of 11 anthropogenic sectors and 4 fuel categories. Emissions are in units of kt yr-1 and include NOx (as NO2), CO, SO2, NH3, total NMVOCs, BC, and OC 2. CEDS_GBD-MAPS_gridded_emissions_by_sector_fuel_[year].zip Each .zip file contains 145 netCDF files of annual anthropogenic global gridded emission fluxes, reported as a function of 11 anthropogenic sectors and 5 fuel categories (1 file per compound per fuel category, plus 1 file for the sum of all fuel categories) Emission fluxes are in units of kg m-2 s-1 and include NOx (as NO), CO, SO2, NH3, 25 speciated VOCs, BC, and OC Emission fluxes are provided as monthly averages and have been formatted for use in the GEOS-Chem model (http://acmg.seas.harvard.edu/geos/). Example: ALD2-em-liquid-fuel-plus-natural-gas_CEDS_1970.nc inside the CEDS_GBD-MAPS_gridded_emissions_by_sector_fuel_1970.zip file provides monthly emission fluxes in 1970 for the subVOC ALD2 that result from the combustion of liquid fuel and natural gas in each of the 11 source sectors. 3. CEDS_GBD-MAPS_[compound]_gridded_total_anthro_emissions_by_sector_input4CMIP_1970-2017.zip compound = [BC_OC], [CO_NOx_SO2_NH3], [speciated_NMVOCs_01-04], [speciated_NMVOCs_05-08], [speciated_NMVOCs_09-14], [speciated_NMVOCs_15-18], [speciated_NMVOCs_19-22], or [speciated_NMVOCs_23-25] Each .zip file contains between 2 - 4 netCDF files (1 per compound) of anthropogenic global gridded emission fluxes from 1970-2017, as a function of 11 anthropogenic sectors only (no disaggregation of fuel categories) netCDF files follow the CEDS CMIP6 gridded emissions format. More information available at: http://www.globalchange.umd.edu/ceds/ceds-cmip6-data/ Emission fluxes are in units of kg m-2 s-1 and include NOx (as NO2), CO, SO2, NH3, 25 speciated VOCs, BC, and OC Emission fluxes are provides as monthly averages Note: Zip files are group by compound only as a means to reduce the zipped file sizes. The file format for each compound is the same. *Additional data details are provided in the README.txt file* *Version 2020_v1.0 of this dataset was produced to accompany the following manuscript: McDuffie, E. E., S. J. Smith, P. O'Rourke, K. Tibrewal, C. Venkataraman, E. A. Marais, B. Zheng, M. Crippa, M. Brauer, R. V. Martin, A global anthropogenic emission inventory of atmospheric pollutants from sector- and fuel- specific sources (1970- 2017): An application of the Community Emissions Data System (CEDS), Earth System Science Data, Submitted

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.217
Threshold uncertainty score0.431

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.007
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0330.017

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 head0.020
GPT teacher head0.239
Teacher spread0.219 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreDataset

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".

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Citations11
Published2020
Admission routes1
Has abstractyes

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