New High-Resolution Weather Toolkit Set to Transform US Wind Energy Planning
Researchers have repackaged NOAA's operational HRRR weather model into an energy-ready toolkit that outperforms existing wind resource datasets and extends ...
Researchers have repackaged NOAA's operational HRRR weather model into an energy-ready toolkit that outperforms existing wind resource datasets and extends ...
A new multi-model climate study projects that Peninsular Malaysia will see heat stress days nearly triple and moderate drought frequency ...
A satellite and machine learning study tracking the Indian Himalayan Region from the 2020 lockdown to 2024 finds air quality ...
Researchers have developed a physically based method that corrects cold-biased temperatures in regional climate model output using atmospheric lapse rates, ...
A new study tested five satellite and reanalysis rainfall products against 23 Egyptian rain gauges and used deep neural networks ...
A new study shows that calibrating watershed models with downscaled, bias-corrected satellite soil moisture data dramatically improves the representation of ...
Researchers at the Technical University of Munich combined physics-based digital shadows with neural-network bias correction, cutting wind turbine fatigue load ...
A major synthesis of fifteen years of CORDEX-Australasia research shows how regional climate downscaling has transformed projections of warming, rainfall, ...
A new CMIP6-based global assessment projects that soil moisture droughts will become longer and more severe by 2050, pushing agricultural ...
A new PLOS Water study finds that machine learning bias correction can transform flawed satellite rainfall and modelled river discharge ...
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© 2025 Scienmag - Science Magazine