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Keyword: Pearl River Delta ×Clear all

3 claims from 1 paper

1. Earth and Planetary Sciences › Meteorological Phenomena and Simulations

   A variable-resolution unstructured spatio-temporal graph neural network: an application to very short-range weather forecasting in Guangdong, China

   Li, Chen, Huang, Xu and Zhang · Geoscience Letters · 2026

   The authors built a graph neural network for six-hour forecasts over Guangdong, China, with finer resolution over the Pearl River Delta, and report good skill for some variables and growing errors for others.

   Unchecked3 claims
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   1. UncheckedTested on held-out data and observations, the model forecasts 2 m temperature and sea-level pressure well and keeps them consistent across space and time.“Verification against an independent test-set and observations, using multiple metrics, demonstrates high predictive skill and strong spatio-temporal coherence for 2 m temperature and sea-level pressure.”
   2. UncheckedIn this Guangdong forecasting model, errors for 10 m winds and 2 m humidity grow larger as the forecast looks further ahead.“For 10 m winds and 2 m humidity, model errors grow larger with lead time.”
   3. UncheckedIn case studies of a Guangzhou heatwave and Super Typhoon Saola, the model captured how events evolved but underestimated peak temperatures, winds and pressure lows.“Case studies of an extreme heatwave event in Guangzhou and the post-landfall evolution of Super Typhoon Saola effectively capture the evolution characteristics and spatial patterns, while underestimates the peak temperatures, maximum winds and minimum sea-level pressures.”