Machine learning can discover closure equations for fluid simulations. A new study finds that common algorithms rediscover known, unstable closures, which can be stabilized with higher-order terms.
Journal of Advances in Modeling Earth Systems (JAMES)
Posted inEditors' Highlights
Ocean Impacts on European Winter Weather
State-of-the-art high-resolution models are needed to reveal the ocean’s role in driving extra-tropical weather systems.
Posted inEditors' Highlights
Physics + Machine Learning Provide a Better Map of Ocean Measurements
A new study offers a compelling example where the merger of dynamical modeling, machine learning, and ocean measurements enhances oceanographic understanding, monitoring, and mapping.
Posted inEditors' Highlights
Machine Learning Masters Weather Prediction
Community datasets and evaluation standards are needed to further advance machine learning for weather prediction.
Posted inEditors' Highlights
A Fast and Accurate Open-Source Atmospheric Transport Model
A new zonally-averaged atmospheric transport model will be useful for estimating emissions of ozone-depleting substances and greenhouse gases.
Posted inEditors' Highlights
A Powerful New Model for U.S. Climate–Air Quality Interactions
NOAA’s Geophysical Fluid Dynamics Laboratory has developed a new variable-resolution global chemistry-climate model for research at the nexus of U.S. climate and air quality extremes.
Posted inEditors' Highlights
Autocalibration of the E3SM Atmosphere Model Improves Model Fidelity
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.
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.