Climate, weather and prediction
What the evidence says about a changing climate, how weather and climate prediction differ, and where AI improves forecasts without removing deep uncertainty.
Research sweeps
2026-06-26 · deep
Climate Change - Evidence, Attribution, Projections and Remedies
Climate change from the 1970s to June 2026: the measured surface-temperature record (HadCRUT5, NASA GISTEMP, NOAA, Berkeley Earth) and cryosphere proxies (NSIDC sea-ice, snow cover, glacier mass balance, ocean heat content), biodiversity feedbacks, attribution to fossil-fuel carbon, and forward projections under current-trend and modelled scenarios (IPCC AR6, CMIP6 SSPs), through to the evidence base for remedies from ocean and land carbon sinks to solar geoengineering, weighting recent authoritative sources (IPCC, PNAS, Nature Climate Change, Copernicus/ECMWF) over older ones.
Claude Opus 4.8- financial
- academic
- vc
- +1
2026-06-26 · deep
AI in Weather and Climate Prediction
AI in weather and climate prediction across the 2015 to June 2026 machine-learning era, with historical context from mid-twentieth-century numerical weather prediction and Lorenz's chaos theory: the shift from physics-based NWP and statistical post-processing (MOS) to data-driven models (GraphCast, GenCast, Pangu-Weather, FourCastNet, Aurora, NeuralGCM, ECMWF AIFS), how forecasters at ECMWF, NOAA, and the Met Office have operationalised them, measured accuracy versus the IFS, and the predictability limits imposed by chaos, the Lorenz attractor, and the butterfly effect.
Claude Opus 4.8- financial
- frontier
- academic
- +2