Jacopo Grassi

A Machine Learning Framework for Objective Definition and Projection of Meteorological Seasons: An Application to the Indian Subcontinent

Abstract Meteorological seasons are typically defined through fixed calendar intervals or region‐specific thresholds, yet such approaches fail to capture the actual variability of the annual cycle. Here we present a machine learning framework that objectively detects meteorologic...

Climate Knowledge in Large Language Models

Abstract Large language models (LLMs) are increasingly deployed for climate-related applications, where understanding internal climatological knowledge is important for assessing their reliability. Despite growing adoption, the capacity of LLMs to recall climate normals from para...