AGU and ESA invite contributions to a cross-society special collection on ecological forecasting across ecosystems and scales.
Journal of Advances in Modeling Earth Systems (JAMES)
Posted inEditors' Highlights
First Benchmarking System of Global Hydrological Models
A benchmarking framework for global hydrological models, essential for Earth System Model evaluations, has finally been proposed.
Posted inEditors' Highlights
A Leap Toward Next-Generation Ocean Models
GPU-optimized ocean modeling achieves decade-long simulations in a day, enabling mesoscale-resolving climate simulations that open new opportunities for long-term planning in a changing climate.
Posted inEditors' Highlights
Calibrating Climate Models with Machine Learning
Using machine learning, researchers automatically calibrate a comprehensive climate model, improving simulations of difficult features and taking steps toward more reliable climate projections.
Posted inEditors' Highlights
Simulating a Unique Wind System in a Kilometer-Scale Model
A new study shows that a kilometer-scale model can directly simulate aspects of the Quasi-Biennial Oscillation.
Posted inEditors' Highlights
Fast Adept Sea Ice Forecasts
Artificial intelligence facilitates an efficient, skillful surrogate of a coupled Arctic sea ice prediction model using generative diffusion.
Posted inEditors' Highlights
Spectral Solar Radiative Transfer in Plant Canopies
Spectrally resolved radiative transfer is needed to compute reliable estimates of sunlight transmission and photolysis of molecules within plant canopies.
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.