Estimating methane emissions in California's urban and rural regions using multitower observations-Reference-Cited by-同舟云学术

Estimating methane emissions in California's urban and rural regions using multitower observations

Published:2016-11-05 Issue:21 Volume:121 Page:13,031-13,049
ISSN:2169-897X
Container-title:Journal of Geophysical Research: Atmospheres
language:en
Short-container-title:J. Geophys. Res. Atmos.

Author:

Jeong Seongeun¹,Newman Sally²,Zhang Jingsong³,Andrews Arlyn E.⁴,Bianco Laura⁴⁵,Bagley Justin¹,Cui Xinguang¹,Graven Heather⁶,Kim Jooil⁷,Salameh Peter⁷,LaFranchi Brian W.⁸,Priest Chad³,Campos‐Pineda Mixtli³,Novakovskaia Elena⁹,Sloop Christopher D.⁹,Michelsen Hope A.⁸,Bambha Ray P.⁸,Weiss Ray F.⁷,Keeling Ralph⁷,Fischer Marc L.¹

Affiliation:

1. Lawrence Berkeley National Lab Berkeley California USA

2. California Institute of Technology Pasadena California USA

3. Department of Chemistry and Air Pollution Research CenterUniversity of California Riverside California USA

4. ESRLNOAA Boulder Colorado USA

5. CIRESUniversity of Colorado Boulder Boulder Colorado USA

6. Department of Physics and Grantham InstituteImperial College London London UK

7. Scripps Institution of OceanographyUniversity of California, San Diego La Jolla California USA

8. Sandia National Labs Livermore California USA

9. Earth Networks Germantown Maryland USA

Funder

University of California's Discovery Grant Program and the California Air Resources Board Research Division under U.S. Department of Energy

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/2016JD025404

Reference70 articles.

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2. BAAQMD(2015) Bay Area Emissions Inventory Summary Report: Greenhouse Gases Base Year 2011 (updated January 2015). [Available athttp://www.baaqmd.gov/~/media/Files/Planning%20and%20Research/Emission%20Inventory/BY2011_GHGSummary.ashx?la=en(accessed May 2015).]

3. Inverse modelling of national and European CH4 emissions using the atmospheric zoom model TM5

4. Convective Boundary Layer Depth: Improved Measurement by Doppler Radar Wind Profiler Using Fuzzy Logic Methods

5. Convective Boundary Layer Depth Estimation from Wind Profilers: Statistical Comparison between an Automated Algorithm and Expert Estimations

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