A surrogate model was trained to predict E3SM atmosphere model spatial fields as a function of uncertain physical parameters and used to optimize the parameters for present-day climate.
Journal of Advances in Modeling Earth Systems (JAMES)
Posted inEditors' Highlights
A New Scheme to Empower Global Air-Conditioning Energy Modeling
An explicit air-conditioning adoption scheme and a global dataset improve urban energy demand modeling and unlock exciting capabilities in Earth system models.
Posted inResearch Spotlights
Verifying the Mathematics Behind Ocean Modeling
A series of test cases designed to confirm the accuracy of ocean models could help improve our understanding of large-scale climate processes.
Posted inEditors' Highlights
Tuning Improves High-Resolution Climate Simulations
Tuning parameterizations of turbulent mixing and of the fall velocity of precipitation and cloud ice alleviates long-standing biases in climate simulations.
Posted inEditors' Highlights
Machine Learning Accelerates the Simulation of Dynamical Fields
Fourier neural operator solvers accurately emulate particle-resolved direct numerical simulations and significantly reduce the computational time by two orders of magnitude.
Posted inEditors' Highlights
Deep Learning Tackles Deep Uncertainty
A new method based on artificial intelligence could help accelerate projections of polar ice melt and future sea level rise.
Posted inEditors' Highlights
Urban Greening Could Help Achieve Carbon Neutrality Goals
A new modeling framework highlights that urban greening is a sustainable solution to achieve environmental co-benefits in mitigating heat and carbon emissions.
Posted inEditors' Highlights
Cumulus Cloud Botany in Large Domains
A new study provides a sample of shallow cumulus clouds simulated in domains 150-kilometers wide, enabling investigations of their structure and organization.
Posted inEditors' Highlights
New Aerosol Model Better Represents Black Carbon Properties
An improved representation for black carbon microphysical and optical properties alleviates overestimations of aerosol absorption efficiency in global climate models.
Posted inResearch Spotlights
Machine Learning Provides a Clearer Window into Ocean Motion
A new method could translate satellite information about sea surface heights into insights on current, heat flow, and—ultimately—climate change.