Harnessing massive climate data for enhanced risk prediction: a GA-optimized LSTM and XGBoost hybrid approach
Climate change is no longer a distant threat but a present-day reality that manifests through increasingly frequent and severe extreme ...
Climate change is no longer a distant threat but a present-day reality that manifests through increasingly frequent and severe extreme ...
Deep beneath our feet, in the thin layer of soil, rock, water, and air that scientists call the Critical Zone, ...
A free interactive web application distills a 20-member ensemble of global hydrological models into maps and percentile charts that reveal ...
Researchers have developed MESMER-RCM, a probabilistic emulator that generates large ensembles of plausible regional climate model outputs at a fraction ...
A two-thousand-year climate model ensemble shows that a Bayesian hierarchical duration-dependent GEV model with a spatially fixed shape parameter halves ...
A major synthesis of fifteen years of CORDEX-Australasia research shows how regional climate downscaling has transformed projections of warming, rainfall, ...
A new non-stationary statistical method attributes entire European summer time series to human-caused climate change, showing the greenhouse gas fingerprint ...
More than two dozen University of Victoria researchers helped produce Canada's Changing Climate Report 2026, the country's most comprehensive assessment ...
Deep learning models have reconstructed 70 years of temperature and precipitation across Italy on a 10 km grid, revealing persistent ...
A new evaluation of seventeen CMIP6 climate models identifies CNRM-CM6-1, GFDL-ESM4, MPI-ESM1-2-HR and NorESM2-MM as the most reliable for simulating ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine