Results 171 to 180 of about 15,935 (307)
Abstract Extreme storms and flooding can remobilize legacy contaminants stored in the sediment bed; however, event‐scale models that resolve the transport of these materials remain underdeveloped. This study developed a numerical model of contaminated sediment transport during Hurricane Harvey (August 2017), which struck the upstream reaches of ...
Zhiyun Du +8 more
wiley +1 more source
Tropical Cyclone Forecast Advisory for Tonga [PDF]
this is the official Tropical Cyclone Advisories issued by the Fuaamotu Tropical Cyclone Warning Center for ...
core
The effect of tropical cyclone on cognitive function in older adults: A longitudinal study from Thailand [PDF]
Ke J, Sun F, Vivarakanon P.
europepmc +2 more sources
Author Correction: Central American mountains inhibit eastern North Pacific seasonal tropical cyclone activity. [PDF]
Fu D +5 more
europepmc +1 more source
Abstract Past evaluation of artificial intelligence (AI) weather prediction has primarily relied on reanalyses, which can obscure important deficiencies due to prevailing biases in reanalyses themselves. Here, we present MAUSAM (Measuring AI Uncertainty during South Asian Monsoon), an evaluation of seven leading AI‐based prediction systems—FourCastNet,
Aman Gupta, Aditi Sheshadri, Dhruv Suri
wiley +1 more source
Global coastal wind hazard maps from the CHAZ tropical cyclone model. [PDF]
Meiler S, Lee CY, Camargo SJ, Sobel AH.
europepmc +1 more source
Short‐Term Hourly Weather Forecasting Using PredRNN With Image Preprocessing
Abstract Global weather forecast models are vital tools with numerous applications, including public safety, agriculture, and transportation. Recent advancements in artificial intelligence (AI) and deep learning (DL) have shown the potential to enhance weather forecasting accuracy and speed.
Hoang Tran +9 more
wiley +1 more source
The reliability of satellite precipitation estimates during tropical cyclone Shaheen. [PDF]
Al Mawali B +3 more
europepmc +1 more source
Abstract By employing the conditional nonlinear optimal perturbation approach within a two‐layer quasigeostrophic (QG) model, we investigate the sensitive areas for targeted observations of mesoscale eddies relevant to sea surface height anomaly (SSHA) forecasting and reveal their pronounced latitude dependence.
Lin Jiang, Wansuo Duan, Hui Wang
wiley +1 more source

