Research Associate III
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 assimilation 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 Master of Science degree in Meteorology and Physical Oceanogragphy from U.M. in 2007.
Kathryn maintains an extensive archive of all dropwindsonde 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 retrievals 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 currently working on a project with a goal of optimizing the assimilation of full resolution dropsonde observations into HWRF. Kathryn is also conducting research to evaluate observations collected using innovative instrumentation which can be mounted on un-crewed aircraft or low orbiting satellites. In the course of her research using hurricane observations, Kathryn has developed tools for reading and quality control of multiple data types. She is applying these tools to create a comprehensive data set of tropical cyclone observations centered on individual storm locations and times. The resulting product is intended to be shared publicly so that it might be used for research, reanalysis or model verification.
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