As the continent warms, once cooler regions will become prime habitat for mosquitoes and their parasites, while in other regions, heat will lower disease transmission.
Modeling
Climate Model Benchmarking: Building Trust and Advancing Science
A critical look at how well climate models work, how to successfully use them, and the anticipated challenges for their next-generation development.
It Takes Three to Model Methane Right
By combining conventional process-based and atmospheric inversion modeling with machine learning, scientists home in on a more realistic methane model.
Decoding the Origins of Lightning’s Violent Currents
A compact set of physical equations delivers a unified, first-principles explanation for how lightning’s most destructive surge of current is born, races towards the clouds, and fades.
Why Channel Steepness Might Not Always Be What You Think it to Be
Channel steepness is a popular metric in most studies of tectonic geomorphology, but the simple and convenient method of defining channels in the first place may have overlooked a serious pitfall.
Solar Panels Can Cool Crops—and Workers
A new model simulates the benefits of agrivoltaic farming, in which solar panels and crops share the same land.
Streamflow From Generative AI
The trifecta of predicting, assimilating, and downscaling streamflow has arrived with generative diffusion AI models.
Climate Change Made This Summer’s Canadian Wildfires Twice as Likely
Wildfires in the Canadian provinces of Ontario and the Northwest Territories have burned more than 3.9 million hectares this summer, prompted widespread evacuation orders, and created poor air quality for not only Canadians, but more than 120 million people across the midwestern and northeastern United States. The fires spread exceptionally quickly, stressing the resources of local response agencies. About 700 fires are still active across Canada.
According to a new analysis, human-induced climate change and its contribution to fire conditions across Canada made these fires twice as likely to occur. The report is from World Weather Attribution, an international climate science partnership.
A Hybrid Approach for Revealing Headwater Hydrology
Coordinated work to compile existing data and apply models pairing physical understanding with machine learning could substantially improve streamflow predictions for little-known headwater basins.
