Open-AMA: Open-source software for air masses statistical analysis

Abstract

In this paper, we present a new open-source software “Open-AMA” developed to investigate atmospheric circulation dynamics and environmental research. Open AMA presents an integral package to conduct several air mass analyses. It appears to be a powerful, versatile software package developed to meet the needs of researchers using python and C++ in order to facilitate and speed up working time. This software seamlessly integrates new models for source identification based on air trajectories and ambient air pollution concentration data and enhances certain existing ones. Beyond source identification, it offers a rich array of functionalities for making it automatic, quick and easy to get access many kinds data including gridded meteorological data, trajectory calculations, synoptic parameter extraction from back-trajectories. All this functionalities can be used through a user-friendly graphical interface. Open-AMA can be a significant leap forward in air quality research and analysis, empowering researchers with the tools they need to make informed decisions and address pressing environmental and public health challenges and enhance understanding of pollutant origins in the atmosphere.