Open AccessTargeting and Data Assimilation Studies during Hurricane Humberto (2001)
Author(s) -
Sim D. Aberson,
Brian J. Etherton
Publication year - 2006
Publication title -
journal of the atmospheric sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.853
H-Index - 173
eISSN - 1520-0469
pISSN - 0022-4928
DOI - 10.1175/jas3594.1
Subject(s) - data assimilation , landfall , meteorology , ensemble kalman filter , kalman filter , environmental science , barotropic fluid , climatology , tropical cyclone , atlantic hurricane , computer science , extended kalman filter , geography , geology , artificial intelligence
Two operational synoptic surveillance missions were conducted by the National Oceanic and Atmospheric Administration into Hurricane Humberto (2001). Forecasts from two leading dynamical hurricane track forecast models were improved substantially during the watch and warning period before a projected landfall by the assimilation of the additional dropwindsonde data. Feasibility tests with a barotropic model suggest that further improvements may be obtained by the use of the ensemble transform Kalman filter for assimilating these additional data into the model. This is the first effort to assimilate data into a hurricane model using the ensemble transform Kalman filter.