Models will always have bugs. How do scientists decide which ones are most important and how many is too many?
Modeling
Extreme Heat in U.S. Cities Revealed at High Resolution
Data from personal weather stations power a novel way to detect urban heat islands.
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.
¿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.
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.
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.
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.
Machine Learning Simulates 1,000 Years of Climate
The Deep Learning Earth System Model is competitive with CMIP6 models and uses less computational power.
From Aerosols to Clouds: Testing Models with a Convection Cloud Chamber
Researchers benchmark seven cloud models against cloud chamber measurements to reveal how well models capture aerosol-cloud-turbulence interactions and where models still diverge.
By 2051, Emissions from Coal Mining on Federal Lands Could Drop by 86%
Researchers predict that if early 2024 policies hold, emissions related to coal’s extraction, transportation, and combustion will drop over the next 25 years.