What is it about?
An update to the linear least-squares derivative approach to radar analysis is shown to highlight a variety of meteorological phenomena, including tornadoes, strong winds, and frozen precipitation. A summary of existing applications and an exploration of potential future applications are discussed.
Photo by Andrew Seaman on Unsplash
Why is it important?
The methods described here form the basis of many operational and quasi-operational severe weather analysis products and show promise to aid in many more. Future products leveraging this technique can potentially help in severe weather warning decision support situations and as verification for forecast models.
Read the Original
This page is a summary of: Estimates of Gradients in Radar Moments Using a Linear Least Squares Derivative Technique, Weather and Forecasting, April 2019, American Meteorological Society, DOI: 10.1175/waf-d-18-0095.1.
You can read the full text:
The following have contributed to this page