Hurricane Research Division-CIMAS
NOAA's Atlantic Oceanographic and Meteorological Laboratory
4301 Rickenbacker Causeway
Miami, FL 33149
Kathryn Sellwood has scientific interests in the collection, evaluation and assimillation of observations obtained using NOAA aircraft and remote sensing platforms in the inner core region of tropical cyclones. Her research focuses on optimizing the use of these observations for the application of ensemble data assimilation to the problem of numerical prediction of tropical cyclone intensity. Kathryn has been working in the Hurricane Research Division as a contractor with the University of Miami's Cooperative Institute for Marine and Atmospheric Studies since shortly after her completion of a Masters of Science degree in Meteorology and Physical Oceanogragphy from U.M. in 2007.
Kathryn maintains an extensive archive of all dropwindesonde observations collected within tropical cyclones by NOAA, U.S. Airforce and other research aircraft. These data are made available to the scientific community via the H.R.D. website and anonymous F.T.P. server and support is provided for their use. As a member of the data assimilation group at H.R.D. she prepares these and other data such as aircraft flight level and Tail Doppler Radar observations, and satellite wind and temperature retreivals for use in the Hurricane Ensemble Data Assimlation System (H.E.D.A.S.), which was developed at H.R.D. for use with the Hurricane Research and Forcasting Model (H.W.R.F.). She is also conducting research on the application of dynamical theory to estimate T.C. circulations for which observations are scarce from those which are available. It is hypothesised that incorporating these estimates as synthetic observations will allow for a better initial representation of the tropical cyclone in the model. Kathryn is also involved in a project supported by the Joint Hurricane Testbed which derives infrared and microwave brightness temperatures from the H.W.R.F. fields for comparison with the available satellite observations in a graphical format which is familiar to operational forecast personnel. The tools used to produce these figures are to be made available to the research and forecasting community upon completion of the project in 2014. This research is part of an effort to eventually develop the capability to assimlate these type of observations.
Current Research Projects
Recently Published Peer-Reviewed Papers
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