Date of Award

1-1-2017

Language

English

Document Type

Master's Thesis

Degree Name

Master of Science (MS)

College/School/Department

Department of Atmospheric and Environmental Sciences

Content Description

1 online resource (ii, iii, 71 pages) : color illustrations, color maps.

Dissertation/Thesis Chair

Ryan D Torn

Keywords

Ensemble, Forecasting, Hurricane, Modeling, Precipitation, Terrain, Hurricane Irene, 2011, Rainfall probabilities, Precipitation forecasting, Rain and rainfall, Floods

Subject Categories

Atmospheric Sciences | Meteorology

Abstract

As tropical cyclones (TCs) move into the midlatitudes, they are often associated with extensive heavy precipitation. This precipitation can lead to widespread flooding events, such as occurred with Hurricane Irene (2011) over the northeastern United States. Despite the high-impact nature of these events, there are relatively few studies that explore the sensitivity of precipitation forecasts to model initial conditions, beyond focusing on the variability in forecast TC track.

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