Assessment of an atmospheric transport model for annual inverse estimates of California greenhouse gas emissions-Reference-Cited by-同舟云学术

Assessment of an atmospheric transport model for annual inverse estimates of California greenhouse gas emissions

Published:2017-02-02 Issue:3 Volume:122 Page:1901-1918
ISSN:2169-897X
Container-title:Journal of Geophysical Research: Atmospheres
language:en
Short-container-title:J. Geophys. Res. Atmos.

Author:

Bagley Justin E.¹^ORCID,Jeong Seongeun¹^ORCID,Cui Xinguang¹^ORCID,Newman Sally²^ORCID,Zhang Jingsong³^ORCID,Priest Chad³^ORCID,Campos‐Pineda Mixtli³,Andrews Arlyn E.⁴^ORCID,Bianco Laura⁴^ORCID,Lloyd Matthew⁵,Lareau Neil⁵^ORCID,Clements Craig⁵^ORCID,Fischer Marc L.¹^ORCID

Affiliation:

1. Lawrence Berkeley National Laboratory 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. ESRL, NOAA Boulder Colorado USA

5. Department of Meteorology and Climate ScienceSan Jose State University San Jose California USA

Funder

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/10.1002/2016JD025361

Reference41 articles.

1. CO<sub>2</sub>, CO, and CH<sub>4</sub> measurements from tall towers in the NOAA Earth System Research Laboratory's Global Greenhouse Gas Reference Network: instrumentation, uncertainty analysis, and recommendations for future high-accuracy greenhouse gas monitoring efforts

2. Meteorological Model Evaluation for CalNex 2010

3. Uncertainty in Lagrangian pollutant transport simulations due to meteorological uncertainty from a mesoscale WRF ensemble

4. Biophysical impacts of climate-smart agriculture in the Midwest United States

5. Observed and WRF-Simulated Low-Level Winds in a High-Ozone Episode during the Central California Ozone Study

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