A new study offers a compelling example where the merger of dynamical modeling, machine learning, and ocean measurements enhances oceanographic understanding, monitoring, and mapping.
Modeling
Posted inEditors' Highlights
The Invisible Hand of Carbon Dioxide on Forest Productivity
A statistically robust approach applied to long-term flux measurements quantifies forest ecosystem response to increasing atmospheric carbon dioxide, providing a valuable benchmark for climate models.
Posted inEditors' Highlights
Machine Learning Masters Weather Prediction
Community datasets and evaluation standards are needed to further advance machine learning for weather prediction.
Posted inEditors' Highlights
New Observations Provide Insight into Soil Desiccation Cracking
A new application of distributed fiber optic sensing provides early detection of soil desiccation cracking behavior and illustrates, for the first time, the phenomenon of soil crack breathing.
Posted inNews
Water Scarcity Likely to Increase in the Coming Decades
Hydrological modeling suggests that by 2100 more than 65% of the world’s population might, at least sporadically, lack access to clean water.
Posted inEditors' Vox
Seismology Helps Us Understand How Material Flows in Earth’s Deepest Mantle
Recent progress in the analysis of seismic waves enables us to determine where, and sometimes how, the base of the mantle deforms.
Posted inEditors' Highlights
Caldera Collapse as a Natural Example of Rock Friction
Recurrent slips on the caldera wall of the Kīlauea Volcano are a natural experiment not only to understand the mechanics of caldera formation but also to gain more insights into fault friction.
Posted inNews
Potential Relief for the Colorado River’s Near Future
A new study reveals that precipitation could boost the iconic river’s flow in the next couple of decades despite the deleterious effects of warming temperatures due to climate change.
Posted inResearch Spotlights
¿El secreto para imitar fallas naturales? Plexiglás y teflón
Investigadores encontraron una manera eficaz para producir un comportamiento de fallas natural en el laboratorio.