Updated historical (1750–2023) trends of reactive gases and aerosols from the Community Earth atmospheric Data System (CEDS)

Abstract. Estimates of anthropogenic air pollutants and reactive gases remain essential for air quality, weather and other earth systems modeling. Here we present an updated historical time series (1750–2023) produced by the Community Earth atmospheric Data System (CEDS), version CEDS v_2025_03_18, which is widely used in national and international models and modeling exercises. This dataset provides historical estimates of anthropogenic chemically reactive atmospheric gases (carbon monoxide – CO, methane – CH4, ammonia – NH3, nitrous oxides – NOX, sulfur dioxide – SO2, and non-methane volatile orgaic compounds – NMVOCs), carbonaceous aerosols (black carbon – BC, and organic carbon – OC), as well as carbon dioxide – CO2 and nitrogen dioxide – N2O. Aggregate annual estimates are available by 220 countries, 62 sectors, and 8 fuels (in addition to process emissions). Gridded data are available for 9 final gridding sectors with monthly seasonality and VOC speciation in netcdf v4 (HDFv5) format with CF-compliant metadata at 0.5-degree resolution for the full time series and downscaled to 0.1 degree from 1980 forward.

Authors

Institutions

Publication Details

Journal
Earth System Science Data Discussions
Published
2026-11-03
DOI
https://doi.org/10.5194/essd-2026-752
Primary Topic
Atmospheric chemistry and aerosols
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Updated historical (1750–2023) trends of reactive gases and aerosols from the Community Earth atmospheric Data System (CEDS)

Kalyn Dorheim, Zbigniew Klimont, Steven J. Smith, Rachel Hoesly et al.
Earth System Science Data Discussions
Atmospheric chemistry and aerosols
preprint

Updated historical (1750–2023) trends of reactive gases and aerosols from the Community Earth atmospheric Data System (CEDS)

Kalyn Dorheim, Zbigniew Klimont, Steven J. Smith, Rachel Hoesly, Brian McDonald, Leyang Feng, Diego Guizzardi, Patrick O’Rourke, Monica Crippa, Colin Harkins, Noah Prime, Shuxiao Wang, Hamza Ashan
preprint en

Abstract

Abstract. Estimates of anthropogenic air pollutants and reactive gases remain essential for air quality, weather and other earth systems modeling. Here we present an updated historical time series (1750–2023) produced by the Community Earth atmospheric Data System (CEDS), version CEDS v_2025_03_18, which is widely used in national and international models and modeling exercises. This dataset provides historical estimates of anthropogenic chemically reactive atmospheric gases (carbon monoxide – CO, methane – CH4, ammonia – NH3, nitrous oxides – NOX, sulfur dioxide – SO2, and non-methane volatile orgaic compounds – NMVOCs), carbonaceous aerosols (black carbon – BC, and organic carbon – OC), as well as carbon dioxide – CO2 and nitrogen dioxide – N2O. Aggregate annual estimates are available by 220 countries, 62 sectors, and 8 fuels (in addition to process emissions). Gridded data are available for 9 final gridding sectors with monthly seasonality and VOC speciation in netcdf v4 (HDFv5) format with CF-compliant metadata at 0.5-degree resolution for the full time series and downscaled to 0.1 degree from 1980 forward.

Earth System Science Data Discussions
Joint Global Change Research Institute (US), National Oceanic and Atmospheric Administration (US), International Institute for Applied Systems Analysis (AT), Pacific Northwest National Laboratory (US), Johns Hopkins University (US), Cooperative Institute for Research in Environmental Sciences (US), University of Colorado Boulder (US), Joint Research Centre (IT), NOAA Chemical Sciences Laboratory (US), University of Maryland, College Park (US), Tsinghua University (CN)
Atmospheric chemistry and aerosols
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon