In oceanography, as in any scientific field, the goal is not to eliminate uncertainty in data, but instead to better quantify and clearly communicate its size and nature.
Modeling
Posted inFeatures
The Uncertain Future of Antarctica’s Melting Ice
A new multidisciplinary, international research program aims to tackle one of the grand challenges in climate science: resolving the Antarctic Ice Sheet’s contribution to future sea level rise.
Posted inResearch Spotlights
The AI Forecaster: Machine Learning Takes On Weather Prediction
A novel approach to weather forecasting uses convolutional neural networks to generate exceptionally fast global forecasts based on past weather data.
Posted inResearch Spotlights
Converting Auroral Observations into 3D Structures
Using 1D and 2D data sources as model constraints yields fine-scale insights into real-world aurorae.
Posted inResearch Spotlights
Modeling Mulch to Understand Agricultural Soil
A new model helps shed light on residue mulch, an important regulator of surface soil conditions.
Posted inResearch Spotlights
How Fault Surface Features Can Tell Us About Future Earthquakes
A new study suggests ways to quantify fault maturity, a property that affects earthquake characteristics.
Posted inNews
A Hotter Earth Means Stronger Tornadoes
Although their frequency may decrease, models suggest anthropogenic climate change will increase the intensity of tornado outbreaks.
Posted inENGAGE, News
Earthquakes Ripple Through 3D Printed Models of Los Angeles
Using stainless steel models, researchers find that high-frequency seismic waves—the most damaging to buildings—are attenuated in the Los Angeles sedimentary basin.
Posted inEditors' Vox
New Insights into Terrestrial Ecosystems Through Reanalysis
Reanalysis data, already used to understand terrestrial processes on the physical land surface, the carbon cycle, and the hydrologic cycle, is now being applied to terrestrial ecosystems.
Posted inResearch Spotlights
Capturing How Fast the Arctic Ocean Is Gaining Fresh Water
A new analysis suggests that models do not accurately capture how fresh Arctic surface waters mix with deeper waters, contributing to underestimation of Arctic surface freshening.