A study of the impacts of radiative interactions with different cloud types on aggregation of rainstorms finds that interactions with high-clouds and water vapor are key.
Journal of Advances in Modeling Earth Systems (JAMES)
AeroCom Models Improved with Aerosol and Albedo Constraints
Satellite data has been used to correct the aerosol loading and land surface albedo in several AeroCom models, which has improved shortwave flux biases between models and observations.
Uncovering Hidden Errors in Simulated Precipitation
New metrics used to quantify errors in precipitation show that convection permitting simulations outperform coarser resolution simulations.
Introducing the New Editor in Chief of JAMES
Find out about the person taking the helm of AGU’s dedicated earth system modeling journal, JAMES, and his vision for the coming years.
The Past, Present, and Future at JAMES
The outgoing editor in chief of JAMES reflects on his time at the journal, recent developments in Earth system modeling, and the challenges of making modeling data accessible.
International Collaboration Yields Unique Climate Simulations
Porting and optimizing CESM1.3 to run on the TaihuLight computer enabled an astounding 750 years of simulation with 0.25° grid spacing for land & atmosphere and 0.1° grid spacing for ocean & sea ice.
Boosting Weather Prediction with Machine Learning
WeatherBench is a data set compiled to serve as a standard for evaluating new approaches to artificial intelligence–driven weather forecasting.
New Insights into Uncertainties About Earth’s Rising Temperature
A comparison of climate models finds that much of the variation in their predictions of global warming arises from differences in how they simulate the response of convective processes to warming.
A New Way to Fingerprint Drivers of Water Cycle Change
Simulations of tropical ocean convection help distinguish climate effects resulting from large-scale changes in atmospheric circulation from those resulting from higher temperatures.
Interpreting Neural Networks’ Reasoning
New methods that help researchers understand the decision-making processes of neural networks could make the machine learning tool more applicable for the geosciences.