A new genealogy based on similarities in the computer codes of different climate models could improve studies that combine projections from multiple models.
Journal of Advances in Modeling Earth Systems (JAMES)
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Using Bayesian Inference to Improve Sediment-Transport Models
A new Bayesian approach is used for the estimation and uncertainty quantification of unobservable parameters required to model tracer evolution in ocean sediment transport and tracer concentrations.
Posted inEditors' Highlights
Simulating the Journey of Pollen in the Atmosphere
A new study couples an emission and transport scheme of pollen from vegetation, and explores pollen’s evolution in different atmospheric conditions and its impacts on clouds and precipitation.
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Simulating Clouds on Arbitrary Grids in Any Spatial Direction
A new non-column based spectral element implementation of cloud microphysics enables full 3D flexibility in computing clouds and improves computational efficiency.
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Going with the Flow: New Tool Improves Sea Level Projections
By bringing together multiple data sources a new statistical method aims to improve the accuracy with which we might predict future ice melt in Greenland.
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New Machine Learning Parameterization Tested on Atmospheric Model
For the first time, a neural network parameterization of subgrid momentum transport is developed by training on a coarse-grained high-resolution atmospheric simulation.
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Taking Cloud Microphysics Experiments to the Next Level
Experiments in a cloud chamber have provided valuable insights into microphysical processes and will get more realistic as the height of the chamber increases.
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Unleashing the Power of AutoML for Atmospheric Research
Automated Machine Learning liberates domain scientists from selecting learners and hyperparameters and discovers the importance of atmospheric trace gases for improving surface PM2.5 estimates.
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Better Resolution Might Unlock the Mystery of Storms
Climate models have many persistent and systematic biases, but a new study shows that allowing for a physical rather than statistical representation of energy transport reduces one of them.
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A New Approach to Spinning-Up Passive Tracers in Ocean Models
A new computational method enables finding steady-state distributions of tracers in ocean circulation models, opening opportunities for physical and biogeochemical insight.