A new study reconstructs roughly 800 years of streamflow history in India’s major rivers, showing an increase in synchronous drought linked to anthropogenic climate change.
Modeling
Posted inEditors' Highlights
Deep Learning Goes Multi-Tasking
In hydrological modeling, predicting multiple tasks helps in identifying physical rules and generalizations.
Posted inNews
El Niño May Be Driving Insect Decline in the Tropics
Stronger and more frequent El Niño events are contributing to a decline in arthropod diversity and population, as well as to a reduction in the ecological services the animals provide.
Posted inResearch Spotlights
When Is a Climate Model “Good Enough”?
Models will always have bugs. How do scientists decide which ones are most important and how many is too many?
Posted inResearch Spotlights
Extreme Heat in U.S. Cities Revealed at High Resolution
Data from personal weather stations power a novel way to detect urban heat islands.
Posted inFeatures
How an Interstellar Interloper Spurred Astronomers into Action
Valuable lessons from previous interstellar objects allowed scientists to develop a more rapid response when the third one arrived in July.
Posted inResearch Spotlights
¿Pueden los microorganismos prosperar en la atmósfera terrestre o simplemente sobreviven allí?
Un enfoque de modelización ascendente podría acercar a los científicos a la comprensión de las comunidades de microbios en la atmósfera.
Posted inEditors' Highlights
Quantifying Predictability of the Middle Atmosphere
A new high-resolution global model is used to study predictability of atmospheric circulation from the surface to 120 kilometers.
Posted inFeatures
How Researchers Have Studied the Where, When, and Eye of Hurricanes Since Katrina
Twenty years after one of the country’s deadliest storms, scientists reflect on improvements in the ability to understand and predict disasters.
Posted inEditors' Highlights
As Simple as Possible: The Importance of Idealized Climate Models
As models that simulate Earth’s climate system become increasingly complex, the use of simpler and more flexible idealized models remains important for science and education.