Australian researchers have developed and validated an operational statistical interpolation system that blends satellite, radar, and rain gauge data to ...
A dual artificial intelligence framework combines temporal transformers with dynamic spatial graphs to forecast cascading disaster risks and optimize emergency ...
Researchers analyzing the Godavari River basin revealed that semi-humid sub-catchments require multi-day rainfall accumulations to flood while semi-arid regions are ...
A preliminary Brazilian study finds it feasible to build a web platform coupling the WRF-Hydro model with artificial intelligence for ...
ECMWF has released a subset of its 9-kilometre forecast data free with a two-hour delay, enabling more localized applications while ...
An improved LSTM achieved mean NSE of 0.9633 and mean peak-discharge error of 3.90% in nine held-out flood events from ...
A NASA-led study of the Missouri River Basin shows that swapping individual physics schemes in the Noah-MP land surface model ...
A solar-powered IoT node and a recall-optimized LSTM–XGBoost ensemble achieved 100% positive-class recall on a Sri Lankan river's single test ...
Mountains cover roughly a quarter of Earth's land surface, yet they remain among the most difficult places on the planet ...
A new study of Swiss catchments shows that deterministic LSTMs underestimate 97 percent of the most extreme floods, while probabilistic ...
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