Dayton Minore, Brigham Young University
Engineering
Microwave scatterometers, which use radar backscatter measurements from satellites to infer wind vectors near the ocean’s surface, have the ability to monitor global wind speeds at high resolutions. Such data is used for weather forecasting and climate research. However, scatterometer observations can be contaminated by land proximity. Consequently, current methods do not use measurements within 30 km of the coast (about 10.6 million square kilometers worldwide) in the data set. This unused data can be utilized by a recently developed algorithm that can measure winds as close as 5 km to the coast. The author proposes that areas near land can be systematically targeted for special processing, providing valuable near coastal wind data. To demonstrate the effectiveness of the targeting method on a global scale, a sample 4-day data set will be processed. The data is to be stored and published in compatible file formats to current wind data, so that it will be easily usable by wind-vector users.