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Point Downscaling of Surface Wind Speed for Forecast Applications

Source: Journal of Applied Meteorology and Climatology:;2018:;volume 057:;issue 003:;page 659

Author(s): Tang, Brian H.; Bassill, Nick P.

Publisher: American Meteorological Society

Abstract: AbstractA statistical downscaling algorithm is introduced to forecast surface wind speed at a location. The downscaling algorithm consists of resolved and unresolved components to yield a time series of synthetic wind ...

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Probabilistic Forecasting Methods of Winter Mixed-Precipitation Events in New York State Utilizing a Random Forest

Source: Artificial Intelligence for the Earth Systems:;2023:;volume( 002 ):;issue: 003

Author(s): Filipiak, Brian C.; Bassill, Nick P.; Corbosiero, Kristen L.; Lang, Andrea L.; Lazear, Ross A.

Publisher: American Meteorological Society

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Verification of the Global Forecast System, North American Mesoscale Forecast System, and High-Resolution Rapid Refresh Model Near-Surface Forecasts by Use of the New York State Mesonet

Source: Weather and Forecasting:;2024:;volume( 039 ):;issue: 002:;page 369

Author(s): Gaudet, Lauriana C.; Sulia, Kara J.; Torn, Ryan D.; Bassill, Nick P.

Publisher: American Meteorological Society

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P-Type Processes and Predictability: The Winter Precipitation Type Research Multiscale Experiment (WINTRE-MIX)

Source: Bulletin of the American Meteorological Society:;2023:;volume( 104 ):;issue: 008:;page E1469

Author(s): Minder, Justin R.; Bassill, Nick; Fabry, Frédéric; French, Jeffrey R.; Friedrich, Katja; Gultepe, Ismail; Gyakum, John; Kingsmill, David E.; Kosiba, Karen; Lachapelle, Mathieu; Michelson, Daniel; Nichman, Leonid; Nguyen, Cuong; Thériault, Julie M.; Winter

Publisher: American Meteorological Society

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Point Downscaling of Surface Wind Speed for Forecast Applications

Probabilistic Forecasting Methods of Winter Mixed-Precipitation Events in New York State Utilizing a Random Forest

Verification of the Global Forecast System, North American Mesoscale Forecast System, and High-Resolution Rapid Refresh Model Near-Surface Forecasts by Use of the New York State Mesonet

P-Type Processes and Predictability: The Winter Precipitation Type Research Multiscale Experiment (WINTRE-MIX)

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Point Downscaling of Surface Wind Speed for Forecast Applications

Probabilistic Forecasting Methods of Winter Mixed-Precipitation Events in New York State Utilizing a Random Forest

Verification of the Global Forecast System, North American Mesoscale Forecast System, and High-Resolution Rapid Refresh Model Near-Surface Forecasts by Use of the New York State Mesonet

P-Type Processes and Predictability: The Winter Precipitation Type Research Multiscale Experiment (WINTRE-MIX)