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Atmosphere
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Climate Change and Extreme Weather Disaster Risks (2nd Edition)
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Climate Change and Extreme Weather Disaster Risks (2nd Edition)

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

Deadline for manuscript submissions: 30 October 2025 | Viewed by 1988

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
Special Issues, Collections and Topics in MDPI journals
Dr. Wenli Lai

E-Mail Website
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
Special Issues, Collections and Topics in MDPI journals
Dr. Pengtao Wang

E-Mail Website
Guest Editor
School of Tourism, 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,

This Special Issue is the second volume in a series of publications dedicated to “Climate Change and Extreme Weather Disaster Risks” (https://www.mdpi.com/journal/atmosphere/special_issues/3A5JX11ZF7).

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 this relationship’s 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 autumn 2025. This Special Issue will broaden our 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

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

Published Papers (3 papers)

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Research

21 pages, 7843 KB  
Article
Analysis of Economic Losses and Comprehensive Impact Factors of Heatwave, Drought, and Heavy Rain Disasters in Hainan Island
by Chenyang Yuan, Yichen Zhang, Yuxin Zhou, Jiquan Lin, Jie Zhang and Wenli Lai
Atmosphere 2025, 16(9), 1017; https://doi.org/10.3390/atmos16091017 - 28 Aug 2025
Viewed by 435
Abstract
The increasing frequency of extreme weather events presents serious challenges to both regional and global economies. This study focuses on quantifying the economic losses caused by three major types of extreme climate events (heatwaves, droughts, and heavy rain) in Hainan Island from 2001 [...] Read more.
The increasing frequency of extreme weather events presents serious challenges to both regional and global economies. This study focuses on quantifying the economic losses caused by three major types of extreme climate events (heatwaves, droughts, and heavy rain) in Hainan Island from 2001 to 2020. Moreover, a comprehensive dataset of related economic losses was developed. To support the analysis, we constructed an Extreme Climate Economic Loss Model (ECELM). Drought and heavy rain losses were estimated using a loss intensity index based on precipitation and typhoon landfall wind speeds. Heatwave-related losses were assessed through a threshold-based optimization approach. The results show that both heatwaves and heavy rain have exhibited increasing impacts from 2001 to 2020. Although heatwaves were the most frequent extreme event in more than half of the years, heavy rain caused the highest cumulative losses, reaching CNY 75 billion. Spatial analysis indicates that the southeastern coastal areas were the most severely affected. These findings provide valuable quantitative evidence for designing targeted regional climate adaptation strategies. Full article
(This article belongs to the Special Issue Climate Change and Extreme Weather Disaster Risks (2nd Edition))
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29 pages, 9290 KB  
Article
Multi-Hazard Scenarios of Extreme Compounded Events at the Local Scale Under Climate Change
by Athanasios Sfetsos, Nadia Politi and Diamando Vlachogiannis
Atmosphere 2025, 16(9), 1007; https://doi.org/10.3390/atmos16091007 - 26 Aug 2025
Viewed by 534
Abstract
As local risk assessments are fundamental for risk management and mitigation strategies, this work introduces a methodology for assessing multi-hazard scenarios of extreme compounded events and their duration using daily time series of surface variables from high-resolution climate simulations during historical and future [...] Read more.
As local risk assessments are fundamental for risk management and mitigation strategies, this work introduces a methodology for assessing multi-hazard scenarios of extreme compounded events and their duration using daily time series of surface variables from high-resolution climate simulations during historical and future periods under RCP8.5. The aim was to investigate the return level extremes of 20- and 50-year periods of hazards occurring within specific durations and concurrent extreme values of other surface variables, for selected locations in Greece. In addition, future changes in the temporal occurrence of compounded hazards involving precipitation and wind with temperature extremes were performed based on temperature extreme percentiles. The assessment revealed the geographical dependence in the projected occurrence, intensity, and duration of compounded multi-hazard extremes, emphasising the need for high spatial resolution climate data for their investigation. The highlights of the findings include a significant increasing trend of compounded multi-hazard extremes, e.g., hot days and tropical nights, milder winter minimum temperatures with lower rainfall extremes, hotter and windier events of shorter duration, and longer precipitation extremes with increased extreme temperatures. The projections showcased the impact of climate change on extreme compounds with a multitude of interesting findings associated with significant changes in their duration, intensity, and temporal occurrence. Full article
(This article belongs to the Special Issue Climate Change and Extreme Weather Disaster Risks (2nd Edition))
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16 pages, 11579 KB  
Article
Characteristic Analysis of the Extreme Precipitation over South China During the Dragon-Boat Precipitation in 2022
by Meixia Chen, Yufeng Xue, Juliao Qiu, Chunlei Liu, Shuqin Zhang, Jianjun Xu and Ziye Zhu
Atmosphere 2025, 16(5), 619; https://doi.org/10.3390/atmos16050619 - 19 May 2025
Viewed by 556
Abstract
Using multi-source precipitation datasets including NASA GPM (IMERG), GPCP, ECMWF ERA5, and station precipitation data from the China Meteorological Administration (CMA), along with ERA5 reanalysis fields for atmospheric circulation analysis, this study investigates the extreme precipitation events during the “Dragon-Boat Precipitation” period from [...] Read more.
Using multi-source precipitation datasets including NASA GPM (IMERG), GPCP, ECMWF ERA5, and station precipitation data from the China Meteorological Administration (CMA), along with ERA5 reanalysis fields for atmospheric circulation analysis, this study investigates the extreme precipitation events during the “Dragon-Boat Precipitation” period from 20 May to 21 June over South China in 2022 using the synoptic diagnostic method. The results indicate that the total precipitation during this period significantly exceeded the climatological average, with multiple large-scale extreme rainfall events characterized by high intensity, extensive coverage, and prolonged duration. The spatial distribution of precipitation exhibited a north-more-south-less pattern, with the maximum rainfall center located in the Nanling Mountains, particularly in the Shaoguan–Qingyuan–Heyuan region of Guangdong Province, where peak precipitation exceeded 1100 mm, and the mean precipitation was approximately 1.7 times the climatology from the GPM data. The average daily precipitation throughout the period was 17.5 mm/day, which was 6 mm/day higher than the climatological mean, while the heaviest rainfall on 13 June reached 39 mm/day above the average, exceeding two standard deviations. The extreme precipitation during the “Dragon-Boat Precipitation” period in 2022 was associated with an anomalous deep East Asian trough, an intensified South Asian High, a stronger-than-usual Western Pacific Subtropical High, an enhanced South Asian monsoon and South China Sea monsoon, and the dominance of a strong Southwesterly Low-Level Jet (SLLJ) over South China. Two major moisture transport pathways were established: one from the Bay of Bengal to South China and another from the South China Sea, with the latter contributing a little higher amount of water vapor transport than the former. The widespread extreme precipitation on 13 June 2022 was triggered by the anomalous atmospheric circulation conditions. In the upper levels, South China was located at the northwestern periphery of the slightly stronger-than-normal Western Pacific Subtropical High, intersecting with the base of a deep trough associated with an anomalous intense Northeast China Cold Vortex (NCCV). At lower levels, the region was positioned along a shear line formed by anomalous southwesterly and northerly winds, where exceptionally strong southwesterly moisture transport, significant moisture convergence, and intense vertical updraft led to the widespread extreme rainfall event on that day. Full article
(This article belongs to the Special Issue Climate Change and Extreme Weather Disaster Risks (2nd Edition))
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