Past Research

A Hybrid Procedure for Classifying Synoptic Weather Types for Louisiana with an Application to Precipitation Variability

Research dates: 2012-2015
Investigator(s): Amanda Lewis (Billiot), Barry Keim

Synoptic Classification is a powerful tool for studying weather and climate impacts, however there is no widely accepted automated synoptic weather classification system for the Louisiana/Gulf Coast region. This project developed an automated version of a manual synoptic classification system developed by Muller at Louisiana State University, called the “Muller Weather Types for Louisiana”. We hope to soon make this information available “near real-time” for stakeholders so that the weather types can be used to better understand surface weather variability in the region and the impact on entities such as human health, air pollution, etc.