[HTML][HTML] Multi-objective algorithm for the design of prediction intervals for wind power forecasting model

P Jiang, R Li, H Li - Applied Mathematical Modelling, 2019 - Elsevier
A composite forecasting framework is designed and implemented successfully to estimate
the prediction intervals of wind speed time series simultaneously through machine learning …

A comparative study of Typhoon Hato (2017) and Typhoon Mangkhut (2018)—Their impacts on coastal inundation in Macau

J Yang, L Li, K Zhao, P Wang, D Wang… - Journal of …, 2019 - Wiley Online Library
Abstract Typhoons Hato (2017) and Typhoon Mangkhut (2018) struck the Pearl River Delta,
China, in two consecutive years, causing intense flooding and severe damage along the …

Effects of land cover change on atmospheric and storm surge modeling during typhoon event

K Yin, S Xu, Q Zhao, W Huang, K Yang, M Guo - Ocean Engineering, 2020 - Elsevier
Understanding the role of land cover changes on climate and hydrology during typhoon
events is vital for coastal hazard mitigation, prevention, as well as the regulation of land …

Sensitivity analysis of the physics options in the Weather Research and Forecasting model for typhoon forecasting in Japan and its impacts on storm surge simulations

T Shirai, Y Enomoto, M Watanabe… - Coastal Engineering …, 2022 - Taylor & Francis
ABSTRACT Weather Research and Forecasting (WRF) model is useful for forecasting
typhoons as an external force of storm surge forecasts. This study examines the variation in …

Impact of tropical cyclone landfall angle on storm surge along the Mid‐Atlantic bight

AN Ramos‐Valle, EN Curchitser… - Journal of Geophysical …, 2020 - Wiley Online Library
Storm surge impact depends on coastal geographical and bathymetric features as well as
various tropical cyclone characteristics including the size, intensity, and impact angle of the …

Markov Chain Monte Carlo simulation and regression approach guided by El Niño–Southern Oscillation to model the tropical cyclone occurrence over the Bay of …

M Wahiduzzaman, A Yeasmin, JJ Luo, DA Quadir… - Climate Dynamics, 2021 - Springer
Tropical cyclone (TC) is one of the most devastating weather systems that causes enormous
loss of life and property in the coastal regions of Bay of Bengal (BoB). Statistical forecasting …

Impact of PBL and convection parameterization schemes for prediction of severe land-falling Bay of Bengal cyclones using WRF-ARW model

KS Singh, PK Bhaskaran - Journal of Atmospheric and Solar-Terrestrial …, 2017 - Elsevier
This study evaluates the performance of the Advanced Research Weather Research and
Forecasting (WRF-ARW) model for prediction of land-falling Bay of Bengal (BoB) tropical …

Emulation as an approach for rapid estuarine modeling

K Parker, P Ruggiero, KA Serafin, DF Hill - Coastal Engineering, 2019 - Elsevier
Probabilistic flood hazard assessment is a promising methodology for estuarine risk
assessment but currently remains limited by prohibitively long simulation times. This study …

Performance of various wind models for storm surge and wave prediction in the Bay of Bengal: A case study of Cyclone Hudhud

M Sebastian, MR Behera, KR Prakash, PLN Murty - Ocean Engineering, 2024 - Elsevier
Wind and pressure fields associated with a tropical cyclone are the primary driving
atmospheric forcing for storm surge computations. Here, performance of various …

Simulation of extreme waves using coupled atmosphere-wave modeling system over the South China Sea

Z Wu, J Chen, C Jiang, B Deng - Ocean Engineering, 2021 - Elsevier
A real-time two-way coupled atmosphere-wave model in the South China Sea (SCS) has
been established based on the atmosphere model WRF and the wave model SWAN in this …