CEDS_GBD-MAPS: Data Snapshot (2014 - 2015)
Bibliographic record
Abstract
2014-2015 Snapshot of the full CEDS_GBD-MAPS dataset (available at: https://doi.org/10.5281/zenodo.3754964) CEDS_GBD-MAPS Snapshot: Annual anthropogenic emissions of 7 key atmospheric pollutants from Dec 2014 - Feb 2015, 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: Consistent with the full CEDS_GBD-MAPS inventory, emissions are available here in three different formats: 1. CEDS_GBD-MAPS_Snapshot_annual_country_total_emissions_by_sector_fuel_2014-2015.zip Zip file contains 7 .csv files that each contain total annual anthropogenic emissions of each compound from each country for 2014 and 2015, 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 NOTE: Emissions include the entire Jan 2014 - Dec 2015 time period 2. CEDS_GBD-MAPS_Snapshot_gridded_emissions_by_sector_fuel_DJF_2014-2015.zip Zip file contains 145 netCDF files of 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) Monthly data are provided for Dec 2014 - Feb 2015 and have been formatted for use in the GEOS-Chem model (http://acmg.seas.harvard.edu/geos/). 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 Example: ALD2-em-liquid-fuel-plus-natural-gas_CEDS_DJF_2014-2015.nc provides emission fluxes (Dec 2014, Jan 2015, Feb 2015) 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_Snapshot_gridded_total_anthro_emissions_by_sector_input4CMIP_DJF_2014-2015.zip Zip file contains 29 netCDF files (1 per compound) of anthropogenic global gridded emission monthly fluxes for Dec 2014 - Feb 2015, 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 *Additional data details are provided in the README.txt file* *Version 2020_sv1.0 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
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.008 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.058 | 0.031 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".