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Title: Exploiting OMI NO 2 satellite observations to infer fossil-fuel CO 2 emissions from U.S. megacities

Abstract

Fossil-fuel CO 2 emissions and their trends in eight U.S. megacities during 2006–2017 are inferred by combining satellite-derived NO X emissions with bottom-up city-specific NO X-to-CO 2 emission ratios. A statistical model is fit to a collection NO 2 plumes observed from the Ozone Monitoring Instrument (OMI), and is used to calculate top-down NO X emissions. Decreases in OMI-derived NO X emissions are observed across the eight cities from 2006 to 2017 (-17% in Miami to -58% in Los Angeles), and are generally consistent with long-term trends of bottom-up inventories (-25% in Miami to -49% in Los Angeles), but there are some interannual discrepancies. City-specific NO X-to-CO 2 emission ratios, used to calculate inferred CO 2, are estimated through annual bottom-up inventories of NO X and CO 2 emissions disaggregated to 1 × 1 km 2 resolution. Over the study period, NO X-to-CO 2 emission ratios have decreased by ~40% nationwide (-24% to -51% for our studied cities), which is attributed to a faster reduction in NO X when compared to CO 2 due to policy regulations and fuel type shifts. Combining top-down NO X emissions and bottom-up NO X-to-CO 2 emission ratios, annual fossil-fuel CO 2 emissions are derived.more » Inferred OMI-based top-down CO 2 emissions trends vary between +7% in Dallas to -31% in Phoenix. For 2017, we report annual fossil-fuel CO 2 emissions to be: Los Angeles 113 ± 49 Tg/yr; New York City 144 ± 62 Tg/yr; and Chicago 55 ± 24 Tg/yr. A study in the Los Angeles area, using independent methods, reported a 2013–2016 average CO 2 emissions rate of 104 Tg/yr and 120 Tg/yr, which suggests that the CO 2 emissions from our method are in good agreement with other studies' top-down estimates. We anticipate future remote sensing instruments – with better spatial and temporal resolution – will better constrain the NO X-to-CO 2 ratio and reduce the uncertainty in our method.« less

Authors:
; ; ; ; ; ; ; ; ;
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
National Aeronautic and Space Administration (NASA); USDOE Office of Fossil Energy (FE)
OSTI Identifier:
1569244
DOE Contract Number:  
AC02-06CH11357
Resource Type:
Journal Article
Journal Name:
Science of the Total Environment
Additional Journal Information:
Journal Volume: 695; Journal ID: ISSN 0048-9697
Publisher:
Elsevier
Country of Publication:
United States
Language:
English

Citation Formats

Goldberg, Daniel L, Lu, Zifeng, Oda, Tomohiro, Lamsal, Lok N., Liu, Fei, Griffin, Debora, McLinden, Chris, Krotkov, Nickolay, Duncan, Bryan N., and Streets, David G. Exploiting OMI NO2 satellite observations to infer fossil-fuel CO2 emissions from U.S. megacities. United States: N. p., 2019. Web. doi:10.1016/j.scitotenv.2019.133805.
Goldberg, Daniel L, Lu, Zifeng, Oda, Tomohiro, Lamsal, Lok N., Liu, Fei, Griffin, Debora, McLinden, Chris, Krotkov, Nickolay, Duncan, Bryan N., & Streets, David G. Exploiting OMI NO2 satellite observations to infer fossil-fuel CO2 emissions from U.S. megacities. United States. doi:10.1016/j.scitotenv.2019.133805.
Goldberg, Daniel L, Lu, Zifeng, Oda, Tomohiro, Lamsal, Lok N., Liu, Fei, Griffin, Debora, McLinden, Chris, Krotkov, Nickolay, Duncan, Bryan N., and Streets, David G. Tue . "Exploiting OMI NO2 satellite observations to infer fossil-fuel CO2 emissions from U.S. megacities". United States. doi:10.1016/j.scitotenv.2019.133805.
@article{osti_1569244,
title = {Exploiting OMI NO2 satellite observations to infer fossil-fuel CO2 emissions from U.S. megacities},
author = {Goldberg, Daniel L and Lu, Zifeng and Oda, Tomohiro and Lamsal, Lok N. and Liu, Fei and Griffin, Debora and McLinden, Chris and Krotkov, Nickolay and Duncan, Bryan N. and Streets, David G.},
abstractNote = {Fossil-fuel CO2 emissions and their trends in eight U.S. megacities during 2006–2017 are inferred by combining satellite-derived NOX emissions with bottom-up city-specific NOX-to-CO2 emission ratios. A statistical model is fit to a collection NO2 plumes observed from the Ozone Monitoring Instrument (OMI), and is used to calculate top-down NOX emissions. Decreases in OMI-derived NOX emissions are observed across the eight cities from 2006 to 2017 (-17% in Miami to -58% in Los Angeles), and are generally consistent with long-term trends of bottom-up inventories (-25% in Miami to -49% in Los Angeles), but there are some interannual discrepancies. City-specific NOX-to-CO2 emission ratios, used to calculate inferred CO2, are estimated through annual bottom-up inventories of NOX and CO2 emissions disaggregated to 1 × 1 km2 resolution. Over the study period, NOX-to-CO2 emission ratios have decreased by ~40% nationwide (-24% to -51% for our studied cities), which is attributed to a faster reduction in NOX when compared to CO2 due to policy regulations and fuel type shifts. Combining top-down NOX emissions and bottom-up NOX-to-CO2 emission ratios, annual fossil-fuel CO2 emissions are derived. Inferred OMI-based top-down CO2 emissions trends vary between +7% in Dallas to -31% in Phoenix. For 2017, we report annual fossil-fuel CO2 emissions to be: Los Angeles 113 ± 49 Tg/yr; New York City 144 ± 62 Tg/yr; and Chicago 55 ± 24 Tg/yr. A study in the Los Angeles area, using independent methods, reported a 2013–2016 average CO2 emissions rate of 104 Tg/yr and 120 Tg/yr, which suggests that the CO2 emissions from our method are in good agreement with other studies' top-down estimates. We anticipate future remote sensing instruments – with better spatial and temporal resolution – will better constrain the NOX-to-CO2 ratio and reduce the uncertainty in our method.},
doi = {10.1016/j.scitotenv.2019.133805},
journal = {Science of the Total Environment},
issn = {0048-9697},
number = ,
volume = 695,
place = {United States},
year = {2019},
month = {12}
}