BIOENGINEER

Generative AI turns coarse climate models into sharp regional risk maps

A new generative AI framework called GenFocal transforms coarse global climate model output into statistically accurate ...
Nature

Dynamical Downscaling Techniques for Climate Modeling articles from across Nature Portfolio

High-resolution, bias-corrected climate data from the Coordinated Regional Downscaling Experiment (CORDEX) are essential for regional climate analysis and impact assessments. However, several existing ...
Phys.org

Machine learning speeds up climate model simulations at finer resolutions, making them usable on local levels

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, ...
Phys.org

Downscaling method creates high-resolution soil moisture mapping in rough terrain

A new downscaling method has been developed to generate high-resolution surface soil moisture (SSM) data for mountainous regions. By integrating land surface temperature (LST) and vegetation index (VI ...
National Academies of Sciences%2c Engineering%2c and Medicine

Review of the New York City Department of Environmental Protection Operations Support Tool for Water Supply

Suggested Citation: "Appendix B: Use of Climate and Hydrologic Models for Projecting Future Water Resources." National Academies of Sciences, Engineering, and Medicine. 2018. Review of the New York ...

University College London Offers Fully-Funded PhD on AI-Based Regional Climate Models

University College London (UCL) is offering a fully funded PhD studentship for 2027 focused on artificial intelligence, regional climate modelling, and ...