Google has revolutionized weather forecasting with the introduction of a new artificial intelligence (AI) model. The “Scalable Ensemble Envelope Diffusion Sampler” (SEEDS) utilizes generative AI for weather forecasting, combining speed, cost-efficiency, and the capability to detect extreme weather events more effectively than traditional methods.
The climate modeling AI transformation has significantly reshaped the field of climate science, as vividly illustrated by the experiences of climate scientist Tapio Schneider. Initially engaged in the meticulous task of tweaking equations to model cloud formation, Schneider has witnessed a paradigm shift since 2017, thanks to machine learning and AI.
A recent commentary in Nature Climate Change, led by the Woodwell Climate Research Center and an international team of experts, has brought to light a significant issue in climate science: the inadequate representation of permafrost dynamics in climate models. This gap, largely due to funding limitations, is potentially skewing crucial climate predictions, which could have …
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Dartmouth College researchers have adopted a novel approach to resolve the debate about whether a massive asteroid impact or volcanic activity led to the extinction of dinosaurs 66 million years ago. They removed human bias by using a computer model to analyze the Cretaceous–Paleogene (K–Pg) extinction event.
Radiation largely contributes to variations of temperatures across continents, but evaporation and turbulent heat transfer also play a role. These are complex processes. Following new research, the observed temperature patterns follow relatively simple and predictable rules.
New research shows that the cooling effect that volcanic eruptions have on Earth’s surface temperature is likely underestimated by a factor of two, and potentially as much as a factor of four, in standard climate projections.
Deep in the Amazon, Brazil is building a network of towers arrayed in six rings set to spray carbon dioxide into the rainforest. The purpose is to understand how the world’s largest tropical forest responds to climate change.
There is an urgent need for a detailed understanding of the future climate on our planet. To address these needs, a group of DOE-funded scientists recently produced a set of high-resolution scenarios that span a range of plausible changes in U.S. climate over the 21st century. This approach is called thermodynamic global warming (TGW).
A new computational tool developed by researchers at the MIT Joint Program on the Science and Policy of Global Change finds specific counties in the United States that are particularly vulnerable to economic distress resulting from a transition from fossil fuels to low-carbon energy sources.
Tipping points (TPs) in Earth’s climate system have been the topic of increasing interest and concern in recent years given the risk that greenhouse gas emissions could cause abrupt, potentially irreversible, climate transitions. Paleoclimate records are essential for identifying past TPs.
