Accelerated progress in climate modeling is urgently needed for proactive and effective
climate change adaptation. The central challenge lies in accurately representing processes …

The physical processes governing a tropical cyclone's lifecycle are largely understood, but
key processes occur at scales below those resolved by global climate models. Increased …

Abstract Mesoscale Convective Systems (MCSs) play a critical role in tropical rainfall
patterns and circulations. To reduce persistent biases and improve understanding of the …

Data-driven machine learning models for weather forecasting have made transformational
progress in the last 1-2 years, with state-of-the-art ones now outperforming the best physics …

We propose a protocol to evaluate and analyze year-long simulations of global storm-
resolving models (GSRMs). The proposed protocol complements an earlier 40-day …

This study presents the first attempt to simulate a full cycle of the quasi‐biennial oscillation
(QBO) in a global storm‐resolving model (GSRM) that explicitly simulates deep convection …

We propose the lag‐1 autocorrelation of daily precipitation as a simple diagnostic of tropical
precipitation variability in climate models. This metric generally has a relatively uniform …

The demand for high-resolution information on climate change is critical for accurate
projections and decision-making. Presently, this need is addressed through high-resolution …

Understanding the physical processes driving deep convective storms is an essential
prerequisite for understanding the wider tropical atmosphere. Cold pools driven by rainfall …