Friday, December 20News That Matters

Tag: climate models.

New Study Reveals Flaws in Climate Models: Future Permafrost Loss in Asia’s ‘Frozen Giants’ Less Severe Than Predicted

New Study Reveals Flaws in Climate Models: Future Permafrost Loss in Asia’s ‘Frozen Giants’ Less Severe Than Predicted

Breaking News, Climate Actions, Environment
In a groundbreaking study, scientists from the Institute of Atmospheric Physics at the Chinese Academy of Sciences have exposed significant overestimations in climate models predicting permafrost loss in High Mountain Asia (HMA). Known for its vast frozen carbon reserves, HMA has been at the center of global climate concerns. However, the latest research reveals that by fine-tuning model sensitivity to align with realistic warming projections, the feared permafrost degradation may be significantly less severe than previously believed. The study, published in Geophysical Research Letters, finds that previous climate models with overly high equilibrium climate sensitivity (ECS) levels have led to exaggerated warming predictions, distorting forecasts for permafrost loss across HMA. With ne...
Machine Learning Revolutionizes Climate Modeling: Faster, Cheaper, and More Accurate Predictions for Cities

Machine Learning Revolutionizes Climate Modeling: Faster, Cheaper, and More Accurate Predictions for Cities

Breaking News, Climate Actions
New Study Finds Breakthrough in Using AI for Detailed Climate Forecasting. Climate models are a key technology in predicting the impacts of climate change. By running simulations of the Earth's climate, scientists and policymakers can estimate conditions like sea level rise, flooding, and rising temperatures, and make decisions about how to appropriately respond. However, current climate models struggle to provide this information quickly or affordably enough to be useful on smaller scales, such as the size of a city. Now, authors of a new open-access paper published in the Journal of Advances in Modeling Earth Systems have found a method to leverage machine learning to utilize the benefits of current climate models while reducing the computational costs needed to run them. "It turns...