A new way of representing microphysical uncertainty in convective-scale data assimilation reduces biases in model states and improves the accuracy of short-term precipitation forecasts.
Journal of Advances in Modeling Earth Systems (JAMES)
Posted inEditors' Highlights
Importance of High Clouds and Moisture in Rainstorm Aggregation
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.
Posted inEditors' Highlights
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.
Posted inEditors' Highlights
Uncovering Hidden Errors in Simulated Precipitation
New metrics used to quantify errors in precipitation show that convection permitting simulations outperform coarser resolution simulations.
Posted inEditors' Highlights
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.
Posted inResearch Spotlights
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.
Posted inResearch Spotlights
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.
Posted inResearch Spotlights
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.
Posted inResearch Spotlights
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.
Posted inResearch Spotlights
Pushing the Computational Limits of Climate Simulation
Researchers apply a superparameterization technique to boost the accuracy and efficiency of climate predictions generated by the Energy Exascale Earth System Model.