Using mesoscale simulations to train statistical models of tropical cyclone intensity over land

Monthly Weather Review

Volumn 138, Issue 6, 2010, Pages 2058-2073

  Colette, Augustin ^a   Leith, Nadja ^a   Daniel, Vincent ^a   Bellone, Enrica ^a   Nolan, David S ^b  

^a RISK MANAGEMENT SOLUTIONS   (United Kingdom)

^b UNIVERSITY OF MIAMI   (United States)

Author keywords

Mesoscale models; Statistical forecasting; Tropical cyclones

Indexed keywords

GULF OF MEXICO; HISTORICAL DATA; HISTORICAL RECORDS; KEY FACTORS; LANDFALLING; LOW FREQUENCY; MESOSCALE MODEL; MESOSCALE SIMULATION; NUMERICAL MODELING; STATISTICAL FORECASTING; STATISTICAL MODELS; TROPICAL CYCLONE; TROPICAL CYCLONE INTENSITY;

BOUNDARY LAYERS; COMPUTER SIMULATION; HURRICANES; RAIN; TROPICS; WEATHER FORECASTING;

STORMS;

COMPUTER SIMULATION; ENSEMBLE FORECASTING; HURRICANE; MESOSCALE METEOROLOGY; NUMERICAL MODEL; PRECIPITATION INTENSITY; TROPICAL CYCLONE;

ATLANTIC OCEAN; GULF OF MEXICO;

EID: 77955577930     PISSN: 00270644     EISSN: None     Source Type: Journal    
DOI: 10.1175/2010MWR3079.1     Document Type: Article

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