Spectrally resolved radiative transfer is needed to compute reliable estimates of sunlight transmission and photolysis of molecules within plant canopies.
Journal of Advances in Modeling Earth Systems (JAMES)
Posted inResearch Spotlights
Climate Model Simulates Unusually High Heat over the Southern Ocean
U.K. researchers compare HadGEM3-GC3.1 simulations of near-surface air temperatures with those from other state-of-the-art models.
Posted inResearch Spotlights
Modeling Earth Systems at a Quintillion Calculations per Second
I SCREAM, you SCREAM, we all SCREAM for faster climate modeling.
Posted inEditors' Highlights
Equation Discovery for Subgrid-Scale Closures
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.
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.