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    High-resolution smoke forecasting for the 2018 Camp Fire in California 

    Source: Bulletin of the American Meteorological Society:;2021:;volume( ):;issue:
    Author(s): Chow, Fotini Katopodes;Yu, Katelyn A.;Young, Alexander;James, Eric;Grell, Georg;Csiszar, Ivan;Tsidulko, Marina;Freitas, Saulo;Pereira, Gabriel;Giglio, Louis;Friberg, Mariel D.;Ahmadov, Ravan
    Publisher: American Meteorological Society
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    CO2 Transport, Variability, and Budget over the Southern California Air Basin Using the High-Resolution WRF-VPRM Model during the CalNex 2010 Campaign 

    Source: Journal of Applied Meteorology and Climatology:;2018:;volume 057:;issue 006:;page 1337
    Author(s): Park, Changhyoun; Gerbig, Christoph; Newman, Sally; Ahmadov, Ravan; Feng, Sha; Gurney, Kevin R.; Carmichael, Gregory R; Park, Soon-Young; Lee, Hwa-Woon; Goulden, Mike; Stutz, Jochen; Peischl, Jeff; Ryerson, Tom
    Publisher: American Meteorological Society
    Abstract: AbstractTo study regional-scale carbon dioxide (CO2) transport, temporal variability, and budget over the Southern California Air Basin (SoCAB) during the California Research at the Nexus of Air Quality and Climate Change ...
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    Multiagency Ensemble Forecast of Wildfire Air Quality in the United States: Toward Community Consensus of Early Warning 

    Source: Bulletin of the American Meteorological Society:;2024:;volume( 105 ):;issue: 006:;page E991
    Author(s): Li, Yunyao; Tong, Daniel; Makkaroon, Peewara; DelSole, Timothy; Tang, Youhua; Campbell, Patrick; Baker, Barry; Cohen, Mark; Darmenov, Anton; Ahmadov, Ravan; James, Eric; Hyer, Edward; Xian, Peng
    Publisher: American Meteorological Society
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    The Weather Research and Forecasting (WRF) Model: Overview, System Efforts, and Future Directions 

    Source: Bulletin of the American Meteorological Society:;2017:;volume( 098 ):;issue: 008:;page 1717
    Author(s): Powers, Jordan G.; Klemp, Joseph B.; Skamarock, William C.; Davis, Christopher A.; Dudhia, Jimy; Gill, David O.; Coen, Janice L.; Gochis, David J.; Ahmadov, Ravan; Peckham, Steven E.; Grell, Georg A.; Michalakes, John; Trahan, Samuel; Benjamin, Stanley G.; Alexander, Curtis R.; Dimego, Geoffrey J.; Wang, Wei; Schwartz, Craig S.; Romine, Glen S.; Liu, Zhiquan; Snyder, Chris; Chen, Fei; Barlage, Michael J.; Yu, Wei; Duda, Michael G.
    Publisher: American Meteorological Society
    Abstract: arguably the world?s most widely-used numerical weather prediction model, the Weather Research and Forecasting Model offers a spectrum of capabilities for an extensive range of applications.
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