Abstract

Atmospheric inversions refer to the process of inferring the distribution of greenhouse gases or other atmospheric constituents from concentration measurements. This inverse modeling technique plays a crucial role in understanding and quantifying the sources and sinks of these constituents, which is essential for climate change research, air quality management, and policy development. Inversions involve solving complex mathematical problems to estimate the spatial and temporal distribution of emissions by using atmospheric measurements and atmospheric transport models. This abstract provides an overview of atmospheric inversions, including their applications, challenges, and future prospects, highlighting their significance in addressing global environmental issues.