Document Type

Poster

Publication Title

Northrop Grumman Engineering & Science Student Design Showcase

Abstract

Reanalysis data is one of many tools for meteorologists in the understanding of severe weather and forecasting. However, some weather parameters are more complicated to create accurate reanalysis models of than others. Two of these parameters are atmospheric water vapor and precipitable water content. Both parameters are crucial to studying and forecasting severe weather, but unfortunately, they are challenging to collect throughout the atmosphere as well as recreate accurate models of these variables. This study seeks to analyze observational and reanalysis data of atmospheric water vapor and precipitable water content and find solutions to the problems discovered.

Advisor

Milla Costa, Melissa Zavaleta

Publication Date

4-25-2025

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