Evaluating wave glider meteorological and oceanographic data using in situ, modeled and remotely sensed coastal data in the Delaware region

Date
2024
Journal Title
Journal ISSN
Volume Title
Publisher
University of Delaware
Abstract
One of the limitations in coastal forecasting is the lack of high spatial-resolution meteorological and oceanographic observations. The wave glider is a coastal autonomous vehicle that can obtain meteorological and coastal data in real time. The wave glider took a maiden voyage in coastal Delaware waters for 15 days in November. During this period in late fall, there were several storms and turbulent ocean conditions. In this study, we compared the wave glider atmospheric and oceanographic observations to other local in situ observations. The meteorological variables used for comparison in this study were air temperature, sea surface temperature, pressure, wind speed, wave height and wind direction. Weather radar data from the station at Dover, DE, and the Daily 1km resolution MUR SST product, were also retrieved to study the spatial variation in precipitation patterns and sea surface temperatures. Data from the Wave Glider and Buoy 44009 was used to evaluate the performance of a high-resolution, mesoscale atmospheric model (WRF).
Description
Keywords
Coastal prediction, Delaware, Wave glider, Weather Research and Forecasting Model, Coastal forecasting
Citation