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TitleSix City Influence Functions: Feb-April 2017-2020
Date2025
AbstractThis dataset contains influence functions used in the manuscript "Using Tower-based Observational Networks to Assess the Impact of COVID-19 Lockdowns on Greenhouse Gas Emissions in Six North American Cities" (Barkley et. al., in review). The influence functions were produced at hourly resolution from February to April 2017-2020 for observational tower cites in six North American Cities: Los Angeles, Salt Lake City, Indianapolis, Boston, Toronto, and the Baltimore/D.C. Northeast Corridor. Further details on the influence functions can be found in the README.txt file. From the influence functions, model CO2 and CH4 enhancements were generated to compare to observations and evaluate the change in emissions during the onset of the COVID-19 pandemic.
MetadataClick here for full metadata
Data DOIdoi:10.26208/4KQ2-ZF05

Researchers
Barkley, Z. R.
Penn State Department of Meteorology
Davis, K. J.
Penn State Department of Meteorology
Miles, N. L.
Penn State Department of Meteorology
Baray , S.
Climate Research Division, Environment and Climate Change Canada, Toronto, ON, Canada
Vogel, F.
Climate Research Division, Environment and Climate Change Canada, Toronto, ON, Canada
Kim, J.
Scripps Institution of Oceanography, University of California
Weiss , R. F.
Scripps Institution of Oceanography, University of California
Lin, J. C.
University of Utah
Gurney, K.
Northern Arizona University
Turnbull, J.
Penn State Department of Meteorology
Young, H. A.
Earth Sciences New Zealand

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References
Z. R. Barkley, K. J. Davis, N. L. Miles, S. Baray, F. Vogel, J. Kim, R. F. Weiss, J. C. Lin, K. R. Gurney, J. C. Turnbull, H. A. Young. Using Tower-based Observational Networks to Assess the Impact of COVID-19 Lockdowns on Greenhouse Gas Emissions in Six North American Cities. Journal of Geophysical Research: Atmospheres. In review.