Mueller, K.
(2019),
Detecting Urban Emissions Changes and Events With a Near-Real-Time-Capable Inversion System, Journal of Geophysical Research-Atmospheres, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=928110
(Accessed December 6, 2024)
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
Detecting Urban Emissions Changes and Events With a Near-Real-Time-Capable Inversion System
Published
Author(s)
Abstract
In situ observing networks are increasingly being used to study greenhouse gas emissions in urban environments. While the need for sufficiently dense observations has often been discussed, density requirements depend on the question posed and interact with other choices made in the analysis. Focusing on the interaction of network density with varied meteorological information used to drive atmospheric transport, we perform geostatistical inversions of methane flux in the South Coast Air Basin, California, in 20152016 using transport driven by a locally tunedWeather Research and Forecasting configuration as well as by operationally available meteorological products. We find total-basin flux estimates vary by as much as a factor of two between inversions, but the spread can be greatly reduced by calibrating the estimates to account for modeled sensitivity. Using observations from the full Los Angeles Megacities Carbon Project observing network, inversions driven by low-resolution generic wind fields are robustly sensitive (pCitation
Journal of Geophysical Research-Atmospheres
Pub Type
Journals
Download Paper
Citation
Issues
If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.
Created May 16, 2019, Updated June 5, 2019