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Abstract: Experimental Forecasting of Wildfire Emissions within NOAA’s Rapid-Refresh Forecast System (RRFS-Smoke) Model Using Meteorology and Fuel Moisture Content (AGU25)

Experimental Forecasting of Wildfire Emissions within NOAA’s Rapid-Refresh Forecast System (RRFS-Smoke) Model Using Meteorology and Fuel Moisture Content

Johana Romero1, Haiqin Li2, Eric James3, Jordan Schnell4, Craig Hartsough5, Sudheer Bhimireddy6, Shobha Kondragunta7, Xiaoyang Zhang8, Fangjun Li8, Pedro Angel Jimenez9 and Ravan Ahmadov10, (1)CU/CIRES and NOAA/GSL, Boulder, United States, (2)CIRES, University of Colorado Boulder, Boulder, United States, (3)Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado Boulder, Boulder, United States, (4)CIRES/CU, Boulder, United States, (5)CIRES/NOAA GSL, Boulder, United States, (6)University of Illinois at Urbana-Champaign, ISWS/Prairie Research Institute, Climate and Atmospheric Science Section, Champaign, United States, (7)NOAA/NESDIS/Center for Satellite Applications and Research, College Park, United States, (8)South Dakota State University, Geospatial Sciences Center of Excellence (GSCE), Department of Geography & Geospatial Sciences, Brookings, United States, (9)National Center for Atmospheric Research, Boulder, CO, United States, (10)NOAA Global Systems Laboratory, Boulder, United States
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