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Probabilistic Fire Danger Forecasting: A Framework for Week-Two Forecasts Using Statistical Postprocessing Techniques and the Global ECMWF Fire Forecast System (GEFF)

Source: Weather and Forecasting:;2021:;volume( 036 ):;issue: 006:;page 2113

Author(s): Worsnop, Rochelle P.;Scheuerer, Michael;Di Giuseppe, Francesca;Barnard, Christopher;Hamill, Thomas M.;Vitolo, Claudia

Publisher: American Meteorological Society

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Using Artificial Neural Networks for Generating Probabilistic Subseasonal Precipitation Forecasts over California

Source: Monthly Weather Review:;2020:;volume( 148 ):;issue: 008:;page 3489

Author(s): Scheuerer, Michael;Switanek, Matthew B.;Worsnop, Rochelle P.;Hamill, Thomas M.

Publisher: American Meteorological Society

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Assessing State-of-the-Art Capabilities for Probing the Atmospheric Boundary Layer: The XPIA Field Campaign

Source: Bulletin of the American Meteorological Society:;2016:;volume( 098 ):;issue: 002:;page 289

Author(s): Lundquist, Julie K.; Wilczak, James M.; Ashton, Ryan; Bianco, Laura; Brewer, W. Alan; Choukulkar, Aditya; Clifton, Andrew; Debnath, Mithu; Delgado, Ruben; Friedrich, Katja; Gunter, Scott; Hamidi, Armita; Iungo, Giacomo Valerio; Kaushik, Aleya; Kosović, Branko; Langan, Patrick; Lass, Adam; Lavin, Evan; Lee, Joseph C.-Y.; McCaffrey, Katherine L.; Newsom, Rob K.; Noone, David C.; Oncley, Steven P.; Quelet, Paul T.; Sandberg, Scott P.; Schroeder, John L.; Shaw, William J.; Sparling, Lynn; Martin, Clara St.; Pe, Alexandra St.; Strobach, Edward; Tay, Ken; Vanderwende, Brian J.; Weickmann, Ann; Wolfe, Daniel; Worsnop, Rochelle

Publisher: American Meteorological Society

Abstract: o assess current capabilities for measuring flow within the atmospheric boundary layer, including within wind farms, the U.S. Department of Energy sponsored the eXperimental Planetary boundary layer Instrumentation Assessment ...

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Probabilistic Fire Danger Forecasting: A Framework for Week-Two Forecasts Using Statistical Postprocessing Techniques and the Global ECMWF Fire Forecast System (GEFF)

Using Artificial Neural Networks for Generating Probabilistic Subseasonal Precipitation Forecasts over California

Assessing State-of-the-Art Capabilities for Probing the Atmospheric Boundary Layer: The XPIA Field Campaign

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Probabilistic Fire Danger Forecasting: A Framework for Week-Two Forecasts Using Statistical Postprocessing Techniques and the Global ECMWF Fire Forecast System (GEFF)

Using Artificial Neural Networks for Generating Probabilistic Subseasonal Precipitation Forecasts over California

Assessing State-of-the-Art Capabilities for Probing the Atmospheric Boundary Layer: The XPIA Field Campaign