Tag: Weather forecasting
Self-supervised graph model improved multi-horizon weather forecasts
What the study found The study found that a self-supervised spatio-temporal graph model improved multi-variable weather forecasting across multiple forecast horizons. The authors report that it performed better than traditional numerical weather prediction models and recent deep learning methods on the datasets they tested. Why the authors say this matters The authors conclude that the…
Post-processing improved wind-speed ensemble forecasts
—
in MeteorologyWhat the study found Post-processing generally improved both probabilistic calibration and point forecast accuracy for wind-speed ensemble forecasts. The study also found that spatial resolution was more important than ensemble size in these forecasts. Why the authors say this matters The authors conclude that forecast skill can be changed substantially by statistical calibration, which reduces…
EO data may improve flood monitoring and forecasting
Review of Earth Observation data capabilities for enhancing riverine flood monitoring and forecasting systems, analyzing accuracy, latency, and assimilation constraints.
Kilometre-scale simulations improved extreme rainfall forecasts in eastern Qinghai
Kilometre-scale convection-permitting simulations significantly improve extreme precipitation forecasting accuracy in Qinghai’s eastern valleys by better representing valley circulation patterns.
Weather regimes change short-term solar forecast error
Study reveals how North Atlantic weather regimes significantly influence satellite-based solar forecast accuracy, with seasonal variations up to 20% in error magnitude affecting renewable energy.
