This paper examines the efficient variance-based global sensitivity analysis (GSA),
quantified by estimating first-/higher-order and total-effect Sobol'indices, for applications …

In this research paper, we study the capability of artificial neural network models to emulate
storm surge based on the storm track/size/intensity history, leveraging a database of …

Real-time, probabilistic predictions of the expected storm surge represent an important
information source for guiding emergency response decisions during landfalling tropical …

During landfalling tropical storms, probabilistic predictions of the storm surge constitute
important products for guiding emergency response/preparedness decisions. The …

This study proposes and assesses a methodology to obtain high-quality probabilistic
predictions and uncertainty information of near-landfall tropical cyclone–driven (TC-driven) …

As a tropical storm/cyclone approaches landfall, real-time probabilistic predictions for the
anticipated surge provide valuable information for emergency preparedness/response …

Providing storm surge risk information at multi-day lead times is critical for hurricane
evacuation decisions, but predictability of storm surge inundation at these lead times is …

Statistical predictions of storm surge are critical for guiding evacuation and emergency
response/preparedness decisions during landfalling storms. The probabilistic characteristics …

Resumen MORENO ALCIVAR, Lucrecia Cristina. Identification of Landslide types in cliffs
between Ancon and Anconcito, Santa Elena, Ecuador. Manglar [online]. 2022, vol. 19, n. 3 …

Compound hydrometeorological extremes refer to the simultaneous or sequential
occurrence of multiple climate drivers and hazards (especially floods and heat waves) …