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Generative modeling of wind velocity measurements.

A NASA software catalog entry available for reuse or request.

About this technology

Overview

The software developed implements generative modeling algorithms for estimating wind velocities in local areas (i.e., microweather). The software implements three established algorithms: 1) Gaussian mixture models, 2) denoising diffusion probabilistic models, and 3) flow matching. The main purpose of the software is to allow for generating realistic samples of (microweather) wind velocity versus altitude for a given macroweather forecast (e.g., winds NNW @ 15MPH). The training data used - sonic detection and ranging (SoDAR) measurements of local wind velocities along with historical weather forecast data over the same time period - will be released along with the software.