Abstract

The satellites that have been designed to support the monitoring of fossil fuel CO2 emissions aim to systematically measure atmospheric CO2 plumes generated by intense emissions from large cities, power plants and industrial sites. These data can be assimilated into atmospheric transport models in order to estimate the corresponding emissions. However, plumes emitted by cities and powerplants contain not only fossil fuel CO2 but also significant amounts of CO2 released by human respiration and by the burning of biofuels. We show that these amounts represent a significant proportion of the fossil fuel CO2 emissions, up to 40% for instance in cities of Nordic countries, and will thus leave some ambiguity in the retrieval of fossil fuel CO2 emissions from satellite concentration observations. Auxiliary information such as biofuel use statistics and radiocarbon measurement could help reduce the ambiguity and improve the framework of monitoring fossil fuel CO2 emissions from space.

Details

Title
Biofuel burning and human respiration bias on satellite estimates of fossil fuel CO2 emissions
Author
Ciais, P 1   VIAFID ORCID Logo  ; Wang, Y 2   VIAFID ORCID Logo  ; Andrew, R 3 ; Bréon, F M 1 ; Chevallier, F 1   VIAFID ORCID Logo  ; Broquet, G 1 ; Nabuurs, G J 4   VIAFID ORCID Logo  ; Peters, G 3 ; McGrath, M 1 ; Meng, W 5 ; Zheng, B 1   VIAFID ORCID Logo  ; Tao, S 5 

 Laboratoire des Sciences du Climat et de l’Environnement, CEA-CNRS-UVSQ-UPSACLAY, Gif sur Yvette, France 
 Laboratoire des Sciences du Climat et de l’Environnement, CEA-CNRS-UVSQ-UPSACLAY, Gif sur Yvette, France; The Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, People’s Republic of China 
 CICERO Center for International Climate Research, Oslo, Norway 
 Wageningen University and Research, Wageningen, The Netherlands 
 Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, People’s Republic of China 
Publication year
2020
Publication date
Jul 2020
Publisher
IOP Publishing
e-ISSN
17489326
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2548726606
Copyright
© 2020. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.