Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
4.6
2.5
Journals
Atmosphere
Special Issues
Climate Change and Extreme Weather Disaster Risks
share announcement

Climate Change and Extreme Weather Disaster Risks

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Climatology".

Deadline for manuscript submissions: 30 January 2025 | Viewed by 4987

Special Issue Editors

Dr. Jie Zhang

E-Mail Website
Guest Editor
College of Ecology and Environment, Hainan University, Haikou 570228, China
Interests: extreme droughts; heat weaves; global warming; thermal comfort; risk assessment
Dr. Wenli Lai

E-Mail
Guest Editor
College of Geography and Environmental Science, Hainan Normal University, Haikou 571158, China
Interests: thermal comfort; temporal and spatial variation; high temperature alert; social development
Dr. Pengtao Wang

E-Mail Website
Guest Editor
School of Tourism & Research Institute of Human Geography, Xi’an International Studies University, Xi’an 710128, China
Interests: land resource management; climate change; ecosystem service; town and country planning; ecohydrology; remote sensing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Climate change has led to a surge in extreme weather events, with these including hurricanes, floods, droughts, and heatwaves. These disasters have increased in frequency, intensity, and prevalence, resulting in significant human and economic losses. For this reason, exploring the relationship between climate change and the risk of extreme disaster is crucial for both the comprehension of underlying dynamics and the development of effective mitigation and adaptation strategies.

We are pleased to announce that a Special Issue on Climate Change and Extreme Weather Disaster Risks will be hosted by the open-access journal Atmosphere and published in the fall of 2024. The goal of establishing this Special Issue is to broaden the understanding of extreme climate disaster risks that result from climate change, reduce subsequent losses from extreme weather events, and forecast future changes in extreme climate disaster risks.

In this Special Issue, original research, systematic reviews, and model studies related to the themes of climate change and extreme disaster risks are welcome. Example topics include, but are not limited to, the following:

  • The global/regional assessment of extreme disaster risks;
  • The characterization and attribution of extreme disaster changes;
  • The early warning and management of extreme disasters;
  • The analysis of compound extreme disaster co-occurrence risks.

Dr. Jie Zhang
Dr. Wenli Lai
Dr. Pengtao Wang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Atmosphere is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • climatic extreme events
  • risk attribution
  • simulation of hydrothermal processes
  • projections of future scenarios
  • ecosystem response
  • disaster co-occurrence risk

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (5 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

Jump to: Review

14 pages, 2866 KiB  
Article
Greenland Wind-Wave Bivariate Dynamics by Gaidai Natural Hazard Spatiotemporal Evaluation Approach
by Oleg Gaidai, Shicheng He, Alia Ashraf, Jinlu Sheng and Yan Zhu
Atmosphere 2024, 15(11), 1357; https://doi.org/10.3390/atmos15111357 - 12 Nov 2024
Viewed by 308
Abstract
The current work presents a case study for the state-of-the-art multimodal risk assessment approach, which is especially appropriate for environmental wind-wave dynamic systems that are either directly physically observed or numerically modeled. High dimensionality of the wind-wave environmental system and cross-correlations between its [...] Read more.
The current work presents a case study for the state-of-the-art multimodal risk assessment approach, which is especially appropriate for environmental wind-wave dynamic systems that are either directly physically observed or numerically modeled. High dimensionality of the wind-wave environmental system and cross-correlations between its primary dimensions or components make it quite challenging for existing reliability methods. The primary goal of this investigation has been the application of a novel multivariate hazard assessment methodology to a combined windspeed and correlated wave-height unfiltered/raw dataset, which was recorded in 2024 by in situ NOAA buoy located southeast offshore of Greenland. Existing hazard/risk assessment methods are mostly limited to univariate or at most bivariate dynamic systems. It is well known that the interaction of windspeeds and corresponding wave heights results in a multimodal, nonstationary, and nonlinear dynamic environmental system with cross-correlated components. Alleged global warming may represent additional factor/covariate, affecting ocean windspeeds and related wave heights dynamics. Accurate hazard/risk assessment of in situ environmental systems is necessary for naval, marine, and offshore structures that operate within particular offshore/ocean zones of interest, susceptible to nonstationary ocean weather conditions. Benchmarking of the novel spatiotemporal multivariate reliability approach, which may efficiently extract relevant information from the underlying in situ field dataset, has been the primary objective of the current work. The proposed multimodal hazard/risk evaluation methodology presented in this study may assist designers and engineers to effectively assess in situ environmental and structural risks for multimodal, nonstationary, nonlinear ocean-driven wind-wave-related environmental/structural systems. The key result of the presented case study lies within the demonstration of the methodological superiority, compared to a popular bivariate copula reliability approach. Full article
(This article belongs to the Special Issue Climate Change and Extreme Weather Disaster Risks)
►▼ Show Figures

Figure 1

24 pages, 4142 KiB  
Article
The Impact of Climate Variability on the Livelihoods of Smallholder Farmers in an Agricultural Village in the Wider Belfast Area, Mpumalanga Province, South Africa
by Mashford Zenda, Michael Rudolph and Charis Harley
Atmosphere 2024, 15(11), 1353; https://doi.org/10.3390/atmos15111353 - 11 Nov 2024
Viewed by 815
Abstract
The purpose of this study was to investigate the impact of climate change on smallholder farmers in South Africa, particularly focusing on the relationship between agriculture and weather patterns. Understanding this connection is crucial for helping farmers adapt to changing climate conditions and [...] Read more.
The purpose of this study was to investigate the impact of climate change on smallholder farmers in South Africa, particularly focusing on the relationship between agriculture and weather patterns. Understanding this connection is crucial for helping farmers adapt to changing climate conditions and improve their resilience and sustainability. This research analyses 33 years of climate data (1990–2023) from the Belfast weather station to identify long-term climate trends, seasonal shifts, and the frequency of extreme weather events. Statistical analysis, including the Mann–Kendall test, revealed significant changes in temperature, rainfall, and the intensity of extreme weather events, indicating that climate change is already affecting the region. Specifically, the research highlighted significant damage to agricultural infrastructure, such as greenhouses, due to climate-related wind events. This study emphasises the importance of using digital technologies to monitor weather patterns in real-time, aiding in decision-making, and enhancing agricultural efficiency. Additionally, it calls for further research into the social impacts of climate variability, including its effects on community cohesion, migration, and access to social services among smallholder farmers. These findings provide a foundation for developing effective interventions to support the resilience of smallholder farming communities in the face of climate change. Future studies need to consider how climate variability affects farmers’ abilities to access markets, both in terms of transport and product quality. Full article
(This article belongs to the Special Issue Climate Change and Extreme Weather Disaster Risks)
►▼ Show Figures

Figure 1

21 pages, 1517 KiB  
Article
Global Health Emergencies of Extreme Drought Events: Historical Impacts and Future Preparedness
by Zakaria A. Mani, Amir Khorram-Manesh and Krzysztof Goniewicz
Atmosphere 2024, 15(9), 1137; https://doi.org/10.3390/atmos15091137 - 20 Sep 2024
Cited by 1 | Viewed by 1504
Abstract
This study examines the global health implications of extreme drought events from 2000 to 2023. Utilizing data from the International Disaster Database (EM-DAT), we analyzed the number of people affected and the total deaths attributed to drought. Our findings reveal that over 1.6 [...] Read more.
This study examines the global health implications of extreme drought events from 2000 to 2023. Utilizing data from the International Disaster Database (EM-DAT), we analyzed the number of people affected and the total deaths attributed to drought. Our findings reveal that over 1.6 billion people have been impacted by drought globally, with Southern Asia and Sub-Saharan Africa being the most severely affected regions. India and China account for a significant portion of the affected population, with 688.2 million and 327.35 million impacted people, respectively. Drought-related mortality has also been substantial, with over 24,000 deaths recorded globally, including more than 20,000 in Somalia alone. The study highlights the uneven distribution of drought impacts, underscoring the need for targeted interventions and comprehensive drought preparedness strategies. Our analysis also reveals the critical role of socio-economic factors in exacerbating the health impacts of drought, particularly in regions with inadequate healthcare infrastructure and limited access to resources. This study provides novel insights into the specific health impacts of drought, including the correlation between drought frequency and mortality rates, and offers actionable recommendations for improving future emergency responses and health system preparedness. These recommendations are tailored to address the unique challenges faced by the most vulnerable regions, emphasizing the importance of context-specific strategies to enhance resilience against the growing threat of climate-induced droughts. Full article
(This article belongs to the Special Issue Climate Change and Extreme Weather Disaster Risks)
►▼ Show Figures

Figure 1

18 pages, 15073 KiB  
Article
Risk Assessment of Community-Scale High-Temperature and Rainstorm Waterlogging Disasters: A Case Study of the Dongsi Community in Beijing
by Pei Xing, Ruozi Yang, Wupeng Du, Ya Gao, Chunyi Xuan, Jiayi Zhang, Jun Wang, Mengxin Bai, Bing Dang and Feilin Xiong
Atmosphere 2024, 15(9), 1132; https://doi.org/10.3390/atmos15091132 - 18 Sep 2024
Viewed by 493
Abstract
With the advancement of urbanization and acceleration of global warming, extreme weather and climate events are becoming increasingly frequent and severe, and climate risk continues to rise. Each community is irreplaceable and important in coping with extreme climate risk and improving urban resilience. [...] Read more.
With the advancement of urbanization and acceleration of global warming, extreme weather and climate events are becoming increasingly frequent and severe, and climate risk continues to rise. Each community is irreplaceable and important in coping with extreme climate risk and improving urban resilience. In this study, the Dongsi Community in the functional core area of Beijing was explored, and the risk assessment of high temperatures and rainstorm waterlogging was implemented at the community scale. Local navigation observations were integrated into a theoretical framework for traditional disaster risk assessment. The risk assessment indicator system for community-scale high-temperature and rainstorm waterlogging disasters was established and improved from a microscopic perspective (a total of 22 indicators were selected from the three dimensions of hazard, exposure, and vulnerability). Geographic Information Systems (GIS) technology was used to integrate geographic information, meteorological, planning, municipal, socioeconomic and other multisource information layers, thus enabling more detailed spatial distribution characteristics of the hazard, exposure, vulnerability, and risk levels of community-scale high temperatures and rainstorm waterlogging to be obtained. The results revealed that the high-risk area and slightly high-risk area of high-temperature disasters accounted for 13.5% and 15.1%, respectively. The high-risk area and slightly high-risk area of rainstorm waterlogging disasters accounted for 9.8% and 31.6%, respectively. The high-risk areas common to high temperatures and waterlogging accounted for 3.9%. In general, the risk of high-temperature and rainstorm waterlogging disasters at the community scale showed obvious spatial imbalances; that is, the risk in the area around the middle section of Dongsi Santiao was the lowest, while a degree of high temperatures or rainstorm waterlogging was found in other areas. In particular, the risk of high-temperature and rainstorm waterlogging disasters along Dongsi North Street, the surrounding areas of Dongsi Liutiao, and some areas along the Dongsi Jiutiao route was relatively high. These spatial differences were affected to a greater extent by land cover (buildings, vegetation, etc.) and population density within the community. This study is a useful exploration of climate risk research for resilient community construction, and provides scientific support for the planning of climate-adaptive communities, as well as the proposal of overall adaptation goals, action frameworks, and specific planning strategies at the community level. Full article
(This article belongs to the Special Issue Climate Change and Extreme Weather Disaster Risks)
►▼ Show Figures

Figure 1

Review

Jump to: Research

8 pages, 195 KiB  
Review
Examining the Impact of Climate Change Risks on Pregnancy through a Climate Justice Lens: A Review
by Olivia J. Keenan, Stefania Papatheodorou and Arnab K. Ghosh
Atmosphere 2024, 15(8), 975; https://doi.org/10.3390/atmos15080975 - 14 Aug 2024
Viewed by 905
Abstract
Climate change impacts such as climate-amplified weather events are increasing in intensity, frequency, and severity. Despite climate change affecting areas all around the world, the adverse impacts of climate change are unequally distributed, causing specific populations to be more susceptible to the impacts [...] Read more.
Climate change impacts such as climate-amplified weather events are increasing in intensity, frequency, and severity. Despite climate change affecting areas all around the world, the adverse impacts of climate change are unequally distributed, causing specific populations to be more susceptible to the impacts of climate change. Addressing climate inequalities in health research requires a climate justice approach, which prioritizes recognitional, distributional, and procedural justice in research and intervention design. Pregnant individuals are particularly vulnerable to climate change impacts since pregnancy represents a time of both psychological and physiological change that can be extremely sensitive to the environment. Nevertheless, there are few studies examining the association between pregnancy health and climate justice. This review evaluates the status of climate change impacts and pregnancy health outcomes through recognitional, distributive, and procedural justice definitions. We identify four themes already present in the literature: 1. Vulnerable Populations Within an Already Vulnerable Population, 2. Need for More Ecological-level Studies, 3. Addressing the Structural Factors that Drive Climate Injustice, and 4. Community-Centered Solutions Moving Forward. Our findings emphasize the importance of transdisciplinary, participatory, and multisectoral collaboration to improve climate-related pregnancy health interventions. Full article
(This article belongs to the Special Issue Climate Change and Extreme Weather Disaster Risks)
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-5
Back to TopTop