Thesis (Ph. D.)--Ohio State University, 2006. / Title from first page of PDF file. Includes bibliographical references (p. 187-192).

Thesis (M. Sc.)(Meteorology)--University of Pretoria, 2006. / Includes bibliographical references. Available on the Internet via the World Wide Web.

Thesis (Ph. D.)--University of Washington, 2000. / Vita. Includes bibliographical references (p. 124-131).

The first line of defense for the threat of an oncoming hurricane are meteorologists. From their guidance, warnings are drafted and evacuation plans are made ready. This study explores uncertainty that operational meteorologists encounter with hurricane prediction, and more importantly, how meteorologists translate the uncertainty for the public. The study is based on a web survey of individual meteorologists, in cooperation with the National Weather Association (NWA). The survey received 254 responses with an estimated 18% response rate. Specifically, the study focuses on three key areas: displaying uncertainty in hurricane track forecasts, perceived relationships between the public and the media and message characteristics on various platforms (e.g., television, web, and social media), and reliance on numerical weather prediction in the forecasting process. Results show that tracking graphics are varied between their use and usefulness and meteorologists think that they have a bigger role in information dissemination than previously thought. / National Science Foundation (NSF) Grant CMMI1520338

Thesis. 1975. M.S.--Massachusetts Institute of Technology. Dept. of Meteorology. / Bibliography: leaves 66-67. / by William K.-F. Grant, Jr. / M.S.

The purpose of this research is to simulate warm-season mesoscale convective systems (MCSs) using the Weather Research and Forecasting Model (WRF) to determine whether modeled atmospheric variables are capable of discriminating between derecho formation and intensity. Fifty total events are selected with half being derecho-producing MCSs and half being non-derecho producing MCSs. WRF is used to model each event with a high-resolution domain centered over the Midwest using the North American Regional Reanalysis (NARR) dataset as initial and boundary conditions. Atmospheric conditions downstream of the MCS damage path are compared to thresholds established by previous research to determine if the model accurately simulates the expected environment. The goal of the research is to gain insight into how well a high-resolution model can simulate the environment that is expected. It is anticipated that the model will be able to distinguish between environments associated with a derecho-producing MCS and a non-derecho MCS.

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