Researchers measured wind speed with a commercially available drone and a lightweight sensor. The approach could help scientists gather more data from remote environments.
weather
Posted inFeatures
Last Tree Standing
Refugia repopulate forests after fires, but climate change is making these woodlands increasingly unpredictable.
Posted inEditors' Highlights
The Lower Humidity of Urban Areas Moderates Outdoor Heat Stress
Data scarcity of traditional observations cannot reveal whether surface temperature capture the potential for urban heat stress. This study improves the dataset with 40,000 citizen weather stations.
Posted inEditors' Highlights
Ocean Waves Cause Drag Coefficient Asymmetry Within Typhoons
Observations show that, due to ocean waves, the drag coefficients for surface wind stresses have spatial asymmetry within typhoons, which should be considered in weather and climate simulations.
Posted inNews
Rain Makes Skulls Bigger—in Mice
New research shows how regional weather, shaped by towering mountain ranges, might influence the size and shape of local rodents.
Posted inEditors' Highlights
Vegetation Carries the Signature of Recent Precipitation
Vegetation response to precipitation is important for near-term weather predictability, and researchers show that such a response can occur within a few days and last up to two months.
Posted inNews
Chasing Fire Tornadoes for Science
Recent research suggests fire-generated vortices are always present during wildfires.
Posted inEditors' Highlights
Advanced Real-Time Prediction of Storms With 30-Second Refresh
A new-generation weather radar and a massive supercomputing system enables forecasts of storms refreshed every 30 seconds, a significant development in severe weather prediction.
Posted inResearch Spotlights
Spatial Scale Shapes the Ocean and Atmosphere’s Influence on the Climate
Researchers measured the processes driving heat exchange between the Pacific Ocean and the atmosphere.
Posted inEditors' Highlights
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.