A model of the Atlantic Meridional Overturning Circulation (AMOC), pioneered by Henry Stommel over 60 years ago, can exhibit realistic cyclic behavior if the role of Arctic salinity is included.
Editors’ Highlights
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Machine Learning Emulation of Atmospheric Radiative Transfer
Using machine learning to represent sub-grid processes in weather and climate models holds promise, but also faces challenges. Incorporating physical knowledge can help.
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Nine Reasons Why Extreme Floods may be Worse Than Expected
The implications of nature not conforming to statistical assumptions can be devastating; researchers describe why extreme floods may be bigger than we assume.
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AI Algorithm Provides More Accurate Forecasts of Water Use
The new graph convolutional recurrent neural network (GCRNN) will enable water utilities to forecast water use, even if some sensors fail.
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Aftershocks Reveal Coseismic Rupture of Megathrust Earthquakes
More accurate aftershock zones reveal that the rupture areas of megathrust Aleutian–Alaska earthquakes are larger than we thought and partly overlap, in contradiction with the seismic gap hypothesis.
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Modeling Entrainment with Machine Learning
Researchers present a new approach to modeling the stochastic mixing process of convection using a machine learning technique.
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Landfalling Hurricanes Intensify Due to Coastal Downwelling
Hurricane winds can lead to coast downwelling, which brings warmer surface water near the coast and can contribute to the intensification of the landfalling hurricane.
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Community Scientists Help to Beat the Heat
As cities face health threats from heat and air pollution—both expected to worsen from climate change—researchers pilot a community scientist effort to map air quality and improve urban health.
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Western US Adjoint Tomography Reproduces Waveform Complexity
Adjoint tomography employing 3D wavefield simulations for 72 well recorded regional earthquakes in the western U.S. yields spectacular improvements to waveform fits.
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A Unique Glimpse at Sediment Erosion and Deposition by Wind
The Lut Desert in Iran is an exceptional natural laboratory to study how wind moves sediment across the landscape. A new study quantifies erosional and depositional sediment fluxes of the desert.