TY - JOUR
T1 - The generation of gridded emissions data for CMIP6
AU - Feng, Leyang
AU - Smith, Steven J.
AU - Braun, Caleb
AU - Crippa, Monica
AU - Gidden, Matthew J.
AU - Hoesly, Rachel
AU - Klimont, Zbigniew
AU - Van Marle, Margreet
AU - Van Den Berg, Maarten
AU - Van Der Werf, Guido R.
PY - 2020/2/6
Y1 - 2020/2/6
N2 - Spatially distributed anthropogenic and open burning emissions are fundamental data needed by Earth system models. We describe the methods used for generating gridded datasets produced for use by the modeling community, particularly for the Coupled Model Intercomparison Project Phase 6. The development of three sets of gridded data for historical open burning, historical anthropogenic, and future scenarios was coordinated to produce consistent data over 1750-2100. Historical data up to 2014 were provided with annual resolution and future scenario data in 10-year intervals. Emissions are provided on a sectoral basis, along with additional files for speciated non-methane volatile organic compounds (NMVOCs). An automated framework was developed to produce these datasets to ensure that they are reproducible and facilitate future improvements. We discuss the methodologies used to produce these data along with limitations and potential for future work.
AB - Spatially distributed anthropogenic and open burning emissions are fundamental data needed by Earth system models. We describe the methods used for generating gridded datasets produced for use by the modeling community, particularly for the Coupled Model Intercomparison Project Phase 6. The development of three sets of gridded data for historical open burning, historical anthropogenic, and future scenarios was coordinated to produce consistent data over 1750-2100. Historical data up to 2014 were provided with annual resolution and future scenario data in 10-year intervals. Emissions are provided on a sectoral basis, along with additional files for speciated non-methane volatile organic compounds (NMVOCs). An automated framework was developed to produce these datasets to ensure that they are reproducible and facilitate future improvements. We discuss the methodologies used to produce these data along with limitations and potential for future work.
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U2 - 10.5194/gmd-13-461-2020
DO - 10.5194/gmd-13-461-2020
M3 - Article
AN - SCOPUS:85079371467
VL - 13
SP - 461
EP - 482
JO - Geoscientific Model Development
JF - Geoscientific Model Development
SN - 1991-959X
IS - 2
ER -