A new study highlights the connected nature of the Southern Ocean dynamic system, the research priorities needed to understand its influence on climate change, the importance of cross-disciplinary collaborations.
Modeling
Sediment Dampens the Impact of Glaciation on Cenozoic Denudation
Rates of continental-scale sediment flux and denudation are similar between glacial and interglacial periods when the aggradation of glacier-eroded sediment inhibits fluvial erosion downstream.
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.
Investigating Origins of CO2 Ice on Uranian Moons
A new study investigates the role of volatile migration in the unique Uranian thermal environment.
Operational Earthquake Forecasting – What Is It and How Is It Done?
While earthquakes cannot be deterministically predicted, operational earthquake forecasting systems can provide valuable insights into the likelihood of future quakes.
Improving Climate Models: Black Carbon Mixing and Shape Effects
A new study introduces a parameterization scheme to capture the complex optical properties of atmospheric black carbon, accounting for its mixing state, nonsphericity, and heterogeneous coatings.
Future Global Flood Hazards at Unprecedented Accuracy
A global flood hazard map at 30-meter resolution is constructed using latest hydrology, topography, and climate data, and its accuracy is approaching that of local to regional scale flood inundation maps.
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.
Lithospheric Oddities May Be Sculpting Continental Interiors
Researchers propose a novel explanation for vertical motions of Earth’s surface far from active tectonic plate boundaries.
Physics Meets Machine Learning for Better Cyclone Predictions
A new hybrid modeling approach combines physics-based and machine learning models to extend—and improve—path and intensity predictions of tropical cyclones.
