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Papers Hurricane Forecasting

“Hurricane Forecasting” 태그가 달린 논문 3편 · 필터 해제

Storm Surge Modeling in the AI ERA: Using LSTM-based Machine Learning for Enhancing Forecasting Accuracy

2024-03-07 · Stefanos Giaremis, Noujoud Nader, Clint Dawson, Hartmut Kaiser 외

Physics simulation results of natural processes usually do not fully capture the real world. This is caused for instance by limits in what physical processes are simulated and to what accuracy. In this work we propose an…

Hurricane Forecasting

HurriCast: Synthetic Tropical Cyclone Track Generation for Hurricane Forecasting

2023-09-12 · Shouwei Gao, Meiyan Gao, Yuepeng Li, Wenqian Dong

The generation of synthetic tropical cyclone(TC) tracks for risk assessment is a critical application of preparedness for the impacts of climate change and disaster relief, particularly in North America. Insurance compan…

Hurricane ForecastingManagement

Hurricane Forecasting: A Novel Multimodal Machine Learning Framework

2020-11-11 · Léonard Boussioux, Cynthia Zeng, Théo Guénais, Dimitris Bertsimas

This paper describes a novel machine learning (ML) framework for tropical cyclone intensity and track forecasting, combining multiple ML techniques and utilizing diverse data sources. Our multimodal framework, called Hur…

BIG-bench Machine LearningDecoderHurricane ForecastingTropical Cyclone Intensity Forecasting+1
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