Modeling Wildfire Smoke Feedback Mechanisms Using a Coupled Fire‐Atmosphere Model With a Radiatively Active Aerosol Scheme-Reference-Cited by-同舟云学术

Modeling Wildfire Smoke Feedback Mechanisms Using a Coupled Fire‐Atmosphere Model With a Radiatively Active Aerosol Scheme

Published:2019-08-22 Issue:16 Volume:124 Page:9099-9116
ISSN:2169-897X
Container-title:Journal of Geophysical Research: Atmospheres
language:en
Short-container-title:J. Geophys. Res. Atmos.

Author:

Kochanski Adam K.¹^ORCID,Mallia Derek V.¹,Fearon Matthew G.²^ORCID,Mandel Jan³^ORCID,Souri Amir H.⁴^ORCID,Brown Tim²

Affiliation:

1. Department of Atmospheric Sciences University of Utah Salt Lake City UT USA

2. Desert Research Institute Reno NV USA

3. Department of Mathematical and Statistical Sciences University of Colorado Denver Denver CO USA

4. Harvard‐Smithsonian Center for Astrophysics Cambridge MA USA

Funder

National Aeronautics and Space Administration

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/10.1029/2019JD030558

Reference45 articles.

1. On the formation and persistence of superfog in woodland smoke

2. Ahmadov R. G.Grell E.James S.Freitas G.Pereira I.Csiszar M.Tsidulko B.Pierce S.McKeen S.Peckham C.Alexander P.Saide andS.Benjamin(2017).A high‐resolution coupled meteorology‐smoke modeling system HRRR‐Smoke to simulate air quality over the CONUS domain in real time Geophysical Research Abstracts Vol. 19 EGU2017‐10841 2017. Retrieved fromhttp://meetingorganizer.copernicus.org/EGU2017/EGU2017-10841.pdf(last accessed 02.27.2019).

3. Emission factors for open and domestic biomass burning for use in atmospheric models

4. A One-dimensional Time Dependent Cloud Model

5. Atmospheric sulfur cycle simulated in the global model GOCART: Model description and global properties

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