Localized wind conditions are an important input into many geospatial modeling solutions developed at GDA. Whether we are predicting pesticide overspray, ocean wave height, or developing routing strategies for people and equipment, understanding the wind allows us to predict with confidence.
GDA uses Topological Data Assimilation techniques to combine topographic data with low resolution wind data to generate hyperlocal wind forecasts. Built around technology originally developed at the Missoula Fire Sciences Laboratory, GDA is able to upsample NOAA HRRR forecasts to provide improved spatial and temporal resolutions. Through careful analysis of the source wind models and surrounding terrain, we are able to both estimate localized wind conditions and calculate the uncertainty surrounding these predictions.