The Location of Hotels and Their Exposure to Hurricanes in Cuba—Implication for Tourism Development in the Context of Climate Change by Ricardo Remond-Noa, Antonio Torres-Reyes, Felipe Matos-Pupo, Maite Echarri-Chávez, Antonio Bouta-Numbo, Lisbet Crespo-García, María Belén Gómez-Martín

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Exploring coastal climate adaptation through storylines: Insights from cyclone Idai in Beira, Mozambique by Henrique M.D. Goulart, Panagiotis Athanasiou, Kees van Ginkel, Karin van der Wiel, Gundula Winter, Izidine Pinto, Bart van den Hurk

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Assimilating FY-4B AGRI Three Water Vapor Channels in Operational Shanghai Typhoon Model (SHTM) Using GSI-Based 3-DVar Approach by Zeyi Niu, Lei Zhang, Yuhua Yang, Yang Han, Hong Li, Dongliang Wang, Wei Huang, Fuzhong Weng

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Application of Buoy Observations in Determining Characteristics of Several Typhoons Passing the East China Sea in August 2012 by Ningli Huang, Zheqing Fang, Fei Liu

“…The buoy observation network in the East China Sea is used to assist the determination of the characteristics of tropical cyclone structure in August 2012. When super typhoon “Haikui” made landfall in northern Zhejiang province, it passed over three buoys, the East China Sea Buoy, the Sea Reef Buoy, and the Channel Buoy, which were located within the radii of the 13.9 m/s winds, 24.5 m/s winds, and 24.5 m/s winds, respectively. …”
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An Algorithm Using DBSCAN to Solve the Velocity Dealiasing Problem by Wei Zhao, Qinglan Li, Kuifeng Jin

“…This algorithm is verified with a case study involving radar data on the tropical cyclone Mangkhut in 2018. The results show that the accuracy of the proposed algorithm is close to that of the four-dimensional dealiasing (4DD) method proposed by James and Houze; yet, it only requires two-dimensional velocity data and eliminates the need for other reference data. …”
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Climate change attribution of Typhoon Haiyan with the Imperial College Storm Model by Nathan Sparks, Ralf Toumi

“…Abstract It is difficult to model changes in the likelihood of tropical cyclones under climate change to date. We do this, for the first time, by a applying a stochastic tropical cyclone event set generated by the Imperial College Storm Model to attribute the contribution of climate change to the case of Typhoon Haiyan in 2013. …”
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Interactions between Typhoon Choi-wan (2009) and the Kuroshio Extension System by Akiyoshi Wada, Norihisa Usui, Masaru Kunii

“…Simulated central pressure was highly correlated with the axisymmetric mean horizontal specific humidity flux between radii of 50 and 150 km and altitudes of 20 to ~2000 m, suggesting that this flux has potential as a new metric for predicting tropical cyclone intensity. Variations in preexisting oceanic conditions in the Kuroshio Extension region on the simulated atmospheric and oceanic horizontal fields affected the typhoon and a nearby stationary front differently. …”
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Cyclone Idai Disaster in Zimbabwe: A New Testament ethical analysis of Matthew 24:37–39 by Lovejoy Chabata

“…The ravaging effects of Tropical Cyclone Idai on Zimbabwe’s Eastern border with Mozambique in March 2019 posed a rude awakening for the country to develop strategic disaster management policies. …”
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Turbulent wind characteristics in typhoon Hagupit based on field measurements by Lixiao Li, Yiqing Xiao, Haijun Zhou, Feng Xing, Lili Song

“…Wind loads are the dominant loads for large-scale buildings and structures in tropical cyclone-prone regions; however, wind characteristics in tropical cyclones are still far from being understood. …”
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Parameter Sensitivity Analysis and Optimization of the Single-Layer Urban Canopy Model in the Megacity of Shanghai by Xiangyu Ao, Ning Zhang

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A New Variational Assimilation Method Based on Gradient Information from Satellite Data by Bo Zhong, Yun-Feng Wang, Gang Ma, Xin-Yuan Ma, Lu Yang

“…Then, a numerical simulation of tropical cyclone (TC) Megi and data assimilation experiment are conducted using the Weather Research Forecast (WRF) and WRF Data Assimilation (WRFDA) model as well as the Atmospheric Infrared Sounder (AIRS) data. …”
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Changes in Typhoon Activities and Regional Precipitation Variability over the Korean Peninsula according to Different Phases of El Niño by Jong-Suk Kim, Sun-Kwon Yoon, Sang Myeong Oh, Young-Il Moon

“…We analyzed typhoon activities such as tropical cyclone (TC) genesis position, movement routes and central pressure of typhoons, and changes in local patterns of rainfall stemming from TCs passing through the Korean domain. …”
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Understanding mariners’ tsunami information needs and decision-making contexts: A post-event case study of the 2022 Tonga eruption and tsunami by Sara E. Harrison, Rachel V. Lawson, Lucy Kaiser, Sally H. Potter, David Johnston

“…Concurrently, a severe weather warning was issued for ex-Tropical Cyclone Cody, passing east of NZ and producing heightened swells along the North Island coast. …”
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Verification of Forecast Weather Surface Variables over Vietnam Using the National Numerical Weather Prediction System by Tien Du Duc, Lars Robert Hole, Duc Tran Anh, Cuong Hoang Duc, Thuy Nguyen Ba

“…Also, the model performance is poorer for stations with altitudes greater than 500 meters above sea level (masl). For tropical cyclone performance validations, the maximum wind surface forecast from global and regional models is also verified against the best track of Joint Typhoon Warning Center. …”
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An Improved MG Model for Turbulent Mixing Parameterization in the Northwestern South China Sea by Minghao Hu, Lingling Xie, Mingming Li, Quanan Zheng, Feihong Zeng, Xiaotong Chen

“…The IMG model accurately estimates the multi-year turbulent mixing observed in the NSCS, including before and after tropical cyclone passages. This provides a new perspective to study the physical principles and spatial and temporal distribution of turbulent mixing.…”
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The southward shift of hurricane genesis over the northern Atlantic Ocean by Xi Cao, Renguang Wu, Xianling Jiang, Yifeng Dai, Pengfei Wang, Lei Zhou, Liang Wu, Difei Deng, Ying Sun, Shangfeng Chen, Kaiming Hu, Zhibiao Wang, Lu Liu, Xiaoqing Lan, Zhencai Du, Junhu Zhao, Xiao Xiao

“…Previous studies identified a poleward migration of tropical cyclone (TC) genesis over the Pacific Ocean, but the shift over the NATL is statistically insignificant. …”
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Activités cycloniques et nouveaux risques dans le golfe d’Aden by Jean-Philippe Cherel, Bouh Omar Ali, Moustapha Nour Ayeh, Freddy Vinet

“…The Gulf of Aden regions, which are experiencing quite permanent high pressures, are theoretically outside the areas affected by tropical cyclones. However, the analysis of data over the past 40 years identifies 30 tropical cyclones or depressions that have affected the region. …”
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Human‐Induced Climate Change Intensifies Extreme Precipitation Events in Central China's Urban Areas by Yufan Chen, Shuyu Zhang, Hong Wang, Deliang Chen, Junguo Liu

“…The findings reveal that greenhouse gas emissions play a pivotal role in altering atmospheric circulation patterns, specifically promoting the westward extension of western North Pacific subtropical high and northwestward shift of South Asian High, along with tropical cyclones. These changes enhance moisture transport and convective activity, leading to more frequent and intense precipitation events.…”
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Apports de l’imagerie satellite pour le suivi de l’impact des événements cycloniques à Madagascar by Thibault Catry, Christophe Révillion, Pascal Mouquet, Gwenaëlle Pennober

“…This study focuses on the use of earth observation data for the monitoring of tropical cyclones and their impact in the South-western Indian Ocean. …”
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Deep Convolutional Network Based Machine Intelligence Model for Satellite Cloud Image Classification by Kalyan Kumar Jena, Sourav Kumar Bhoi, Soumya Ranjan Nayak, Ranjit Panigrahi, Akash Kumar Bhoi

“…Therefore, classifying satellite images plays strong assistance in remote sensing communities for predicting tropical cyclones. In this article, a classification approach is proposed using Deep Convolutional Neural Network (DCNN), comprising numerous layers, which extract the features through a downsampling process for classifying satellite cloud images. …”
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