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A Framework For Statistical Modeling Of Wind Speed And Wind Direction, Eva Murphy
A Framework For Statistical Modeling Of Wind Speed And Wind Direction, Eva Murphy
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Atmospheric near surface wind speed and wind direction play an important role in many applications, ranging from air quality modeling, building design, wind turbine placement to climate change research. It is therefore crucial to accurately estimate the joint probability distribution of wind speed and direction. This dissertation aims to provide a modeling framework for studying the variation of wind speed and wind direction. To this end, three projects are conducted to address some of the key issues for modeling wind vectors.\\
First, a conditional decomposition approach is developed to model the joint distribution of wind speed and direction. Specifically, the …