Tropopause Detection and Analysis in the Mid Latitude Region
Mohammed El Abdioui

TL;DR
This paper develops and validates advanced hybrid methods for tropopause detection using ERA5 data, demonstrating improved accuracy and utility in forecasting extreme weather events in complex topographies like Morocco and Southern Europe.
Contribution
It introduces novel hybrid detection techniques combining stability and humidity parameters, validated against satellite imagery and applied to significant meteorological events.
Findings
Hybrid methods outperform classical approaches in accuracy.
Automated Python tool enables efficient comparison and validation.
Hybrid approach achieves highest structural similarity (SSIM: 0.5327) in validation.
Abstract
This study presents an advanced framework for tropopause detection and analysis using ERA5 reanalysis data, with particular application to extreme meteorological events affecting Morocco and Southern Europe. The research implements and compares multiple detection methodologies, including classical approaches (thermal/WMO and dynamical/1.5 PVU criteria) alongside novel hybrid techniques combining stability and humidity parameters originally developed by ECMWF. Through systematic validation against January 2010 monthly means and a detailed case study of the October 2024 DANA (Depression Aislada en Niveles Altos) event, this work demonstrates the superior performance of hybrid approaches in capturing tropopause dynamics. The development of an automated Python-based comparison tool enabled a quantitative evaluation against Water Vapor 6.2 {\mu}m satellite imagery, revealing that the hybrid…
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Taxonomy
TopicsAtmospheric Ozone and Climate · Atmospheric aerosols and clouds · Ionosphere and magnetosphere dynamics
