In January, Eos takes a look at the scientists who know that sometimes the answer to a question is a screwdriver.
Instruments and techniques
Paying Attention to the “Ignorosphere”
Scientists discuss geospace and what we could learn if we put some more eyes on this region in the atmosphere. Read more in our special themed issue.
Lightning Research Flashes Forward
A greater understanding of lightning mechanisms is spurring the development of more accurate weather forecasting, increased public health precautions, and a more sophisticated understanding of lightning itself.
Investigating the Spark
In May, we look at lightning—what it tells us about dangerous weather, how to find it on other planets, and what we might learn if we get all that data in one place.
Mapping Lightning Strikes from Space
A new technique spatially tracks lightning in real time and has been adapted by the National Weather Service.
New Study Hints at Bespoke Future of Lightning Forecasting
Researchers used machine learning to develop a model that can predict lightning strikes to within 30 minutes of their occurrence and within 30 kilometers of a weather station by using just four simple atmospheric measurements.
Machine Learning Improves Satellite Rainfall Estimates
A new deep learning approach bridges ground rain gauge and radar data with spaceborne radar observations of Tropical Rainfall Measuring Mission to improve precipitation estimation.
Radiosondes Measure Atmospheric Turbulence Over North America
Analyses of high-resolution radiosonde balloon measurements have provided a novel climatology of atmospheric turbulence parameters in the troposphere and lower stratosphere.
A Better Way to Measure Cloud Composition
An enhanced satellite remote sensing suite accurately measures ice particles, temperature, and water vapor.
Hotness and Coldness Indexes Based on the Fahrenheit Scale
An undergraduate project redefines the h-index.