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Corrigendum to “Mid-century climate change impacts on tornado-producing tropical cyclones” [Weather Clim. Extr. 44 (2024) 100684] Weather Clim. Extrem. (IF 6.1) Pub Date : 2025-02-26 Dakota C. Forbis, Christina M. Patricola, Emily Bercos-Hickey, William A. Gallus Jr.
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Impact of urbanization on regional extreme precipitation trends observed at China national station network Weather Clim. Extrem. (IF 6.1) Pub Date : 2025-02-25 Suonam Kealdrup Tysa, Guoyu Ren, Panfeng Zhang, Siqi Zhang
An enhanced extreme precipitation (EXP) in or near cities compared to rural areas has been widely observed and verified in individual urban sites. However, at a sufficiently large region, the robustness of evidence for the urbanization contribution to the estimate of EXP trends is still lacking. Here, we present clear evidence from observational records of a dense national station network that a significant
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Interannual variability of moisture sources and isotopic composition of Meiyu-Baiu rainfall in southwestern Japan: Importance of Asian monsoon moisture for extreme rainfall events Weather Clim. Extrem. (IF 6.1) Pub Date : 2025-02-21 Xiaoyang Li, Ryuichi Kawamura, Kimpei Ichiyanagi, Kei Yoshimura
The interannual variability of Meiyu-Baiu rainfall has amplified in recent decades. Observational and modeling efforts have revealed large-scale circulations could affect variability of Meiyu-Baiu rainfall by altering moisture sources and transport mechanisms. However, the contributions and thermodynamic processes of major moisture sources, along with their interannual variability, remain unclear.
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Regional drivers and characteristics of multi-year droughts Weather Clim. Extrem. (IF 6.1) Pub Date : 2025-02-21 Jonna van Mourik, Denise Ruijsch, Karin van der Wiel, Wilco Hazeleger, Niko Wanders
Multi-year droughts (MYDs) are severe natural hazards that have become more common due to climate change. Given their significant societal impact compared to droughts of shorter duration, it is crucial to better understand the drivers of MYDs. Using reanalysis data, this study provides a historical overview of MYDs in California, Western Europe, India, central Argentina, South Africa, and southeast
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Impacts of the local temperature anomalies over Mongolian Plateau on heavy rainfall events in north China during July 2023 Weather Clim. Extrem. (IF 6.1) Pub Date : 2025-02-20 Yunchang Cao, Ling Zhang, Haijun Zhao, Zhun Guo
From July 29th to August 2nd, 2023, an exceptional precipitation event, referred as 237HRE, struck North China, causing widespread flooding in the Haihe River basin. Utilizing reanalysis data and the Weather Research and Forecasting (WRF) model, this study delves into the reasons behind the unusual westward extension and northward shift of the Western Pacific Subtropical High (WPSH), as well as the
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Assessment of the marine heatwaves prediction performance of the short-term climate prediction system FIO-CPS v2.0 Weather Clim. Extrem. (IF 6.1) Pub Date : 2025-02-20 Yuanlin Wang, Yajuan Song, Ying Bao, Chan Joo Jang, Zhenya Song
In recent years, the frequent occurrence of marine heatwaves (MHWs) has affected the ecological environment and caused considerable socioeconomic impact. Consequently, MHWs prediction has received increasing attention. This study aims to evaluate the short-term (months to interannual timescales) MHWs prediction skill of the First Institute of Oceanography-Climate Prediction System version 2.0 (FIO-CPS
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Human contribution to atmosphere-ocean thermodynamic factors affecting the intense tropical cyclones over the Arabian Sea during the post-monsoon season Weather Clim. Extrem. (IF 6.1) Pub Date : 2025-02-17 Akash Pathaikara, Minkyu Lee, Seung-Ki Min, Soon-Il An, M.K. Roxy, K.P. Sooraj
Global warming and its implications for extreme events are important subjects of discussion worldwide. This study analyzes the changes in intense tropical cyclone (INT TC) activities over the Arabian Sea Basin (ARB) from 1981 to 2020 during the October–November season, along with its connection to the rise in thermal energy stored in the upper ocean and column-averaged atmospheric instability of the
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Quantifying moisture and sensible heat flux anomalies for compound drought and heat wave events in the Iberian Peninsula Weather Clim. Extrem. (IF 6.1) Pub Date : 2025-02-17 Albenis Pérez-Alarcón, Marta Vázquez, Alexandre M. Ramos, Raquel Nieto, Joaquim G. Pinto, Luis Gimeno
Compound drought and heat wave events (CDHWs) are weather and climate hazards whose frequency is increasing in many regions across the globe. Here, we applied a novel Lagrangian atmospheric moisture and heat tracking framework to the outputs of the Lagrangian FLEXPART model driven by the ERA5 reanalysis to quantify the moisture and sensible heat flux anomalies for CDHWs occurred in the Iberian Peninsula
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Wildfire risk in a changing climate: Evaluating fire weather indices and their global patterns with CMIP6 multi-model projections Weather Clim. Extrem. (IF 6.1) Pub Date : 2025-02-16 Yan He, Zixuan Zhou, Eun-Soon Im, Hyun-Han Kwon
This study investigates potential wildfire risks across different global warming scenarios through a comparative analysis of two prominent fire weather indices: the McArthur Forest Fire Danger Index (FFDI) and the Canadian Forest Fire Danger Index (FWI), leveraging the latest multi-model projections from the 6th phase of the Coupled Model Intercomparison Project (CMIP6). Utilizing the Extreme Gradient
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Evaluation of CMIP6 models in simulating seasonal extreme precipitation over Ethiopia Weather Clim. Extrem. (IF 6.1) Pub Date : 2025-02-15 Daniel Berhanu, Tena Alamirew, Woldeamlak Bewket, Temesgen Gashaw Tarkegn, Gete Zeleke, Amare Haileslassie, Greg O'Donnell, Claire L. Walsh, Solomon Gebrehiwot
Historically, Ethiopia has experienced recurrent droughts and floods, which may intensify due to climate change. This study has evaluated the performance of 45 models from the Coupled Model Intercomparison Project Phase 6 (CMIP6) in simulating ten extreme precipitation indices against corresponding indices from the Enhancing National Climate Services (ENACTS) during short rainy (February–May, FMAM)
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Projected changes in daily temperature extremes for selected locations over South Africa Weather Clim. Extrem. (IF 6.1) Pub Date : 2025-02-13 Charlotte M. McBride, Andries C. Kruger, Charmaine Johnston, Liesl Dyson
Extreme events, particularly very high temperatures, are expected to increase because of climate change. It is thus essential that localised studies be done to quantify the magnitude of potential changes so that proper planning, especially effective adaptation measures, can be affected. This study analysed annual extreme daily maximum temperatures for future climate change scenarios at 22 locations
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Distinctive local and large-scale processes associated with daytime, nighttime and compound heatwaves in China Weather Clim. Extrem. (IF 6.1) Pub Date : 2025-02-12 Yanheng Luo, Song Yang, Tuantuan Zhang, Yueyue Yu, Ming Luo, Lianlian Xu
Different heatwave types exert distinctive impacts on the socio-economic and ecosystems, but the potential mechanisms for different heatwave types remain poorly understood. In this study, we identify the hot spots of daytime, nighttime, and compound heatwaves over China during 1991–2022, and provide a systematic investigation of their distinctive atmospheric configurations. The results show that the
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Dynamical downscaling projections of mean and extreme climate over the Tibetan Plateau under 2 SSP scenarios Weather Clim. Extrem. (IF 6.1) Pub Date : 2025-02-12 Jiewei Zhou, Jianbin Huang, Yao Yao, Yong Luo
The Tibetan Plateau (TP) has consistently garnered attention due to its sensitivity to global climate change and the implications of future global warming. This study employs the Weather Research and Forecasting (WRF) model, driven by three global models from the Sixth Coupled Model Intercomparison Project (CMIP6), to investigate future mean and extreme climate changes over the TP. WRF's historical
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Representation of extreme El Niño events and associated atmospheric moisture flux divergence in the central-eastern tropical Pacific in a CMIP6 model ensemble Weather Clim. Extrem. (IF 6.1) Pub Date : 2025-02-08 Janeet Sanabria, Raphael Neukom, Alan Llacza, Nadine Salzmann, Pierluigi Calanca
Extreme El Niño events entail important socio-economic challenges, both in regions such as South America directly affected by their impacts and in regions around the world that are influenced by the associated teleconnections. Uncertainty remains about the ability of recent climate models to reproduce the characteristics and impacts of extreme El Niño events. In this study, we evaluate the ability
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Human-induced climate change increased 2021–2022 drought severity in horn of Africa Weather Clim. Extrem. (IF 6.1) Pub Date : 2025-02-06 Joyce Kimutai, Clair Barnes, Mariam Zachariah, Sjoukje Y. Philip, Sarah F. Kew, Izidine Pinto, Piotr Wolski, Gerbrand Koren, Gabriel Vecchi, Wenchang Yang, Sihan Li, Maja Vahlberg, Roop Singh, Dorothy Heinrich, Julie Arrighi, Carolina Pereira Marghidan, Lisa Thalheimer, Cheikh Kane, Emmanuel Raju, Friederike E.L. Otto
From October 2020 to early 2023, Eastern Africa experienced five consecutive failed (SPEI -2.6) rainy seasons, resulting in the worst drought in 40 years. This led to harvest failures, livestock losses, water scarcity, and conflicts, leaving approximately 4.35 million people in need of humanitarian aid. To understand the role of human-induced climate change in the drought, we analysed rainfall trends
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Simulation of an intense tropical cyclone in the conformal cubic atmospheric model and its sensitivity to horizontal resolution Weather Clim. Extrem. (IF 6.1) Pub Date : 2025-02-01 Son C. H. Truong, Hamish A. Ramsay, Tony Rafter, Marcus J. Thatcher
In this study, we evaluated the Conformal Cubic Atmospheric Model's (CCAM) ability to simulate the characteristics of severe Tropical Cyclone (TC) Hina, which occurred in the Southwest Pacific in 1985. We compared the model's performance using both a quasi-uniform grid and a variable-resolution grid to investigate differences in the representation of TC Hina's properties, such as tracks and intensity
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Data-driven upper bounds and event attribution for unprecedented heatwaves Weather Clim. Extrem. (IF 6.1) Pub Date : 2025-01-30 Mark D. Risser, Likun Zhang, Michael F. Wehner
The last decade has seen numerous record-shattering heatwaves in all corners of the globe. In the aftermath of these devastating events, there is interest in identifying worst-case thresholds or upper bounds that quantify just how hot temperatures can become. Generalized Extreme Value theory provides a data-driven estimate of extreme thresholds; however, upper bounds may be exceeded by future events
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Characteristics of precipitation associated with post-tropical cyclones in the North Atlantic Weather Clim. Extrem. (IF 6.1) Pub Date : 2024-12-21 Haider Ali, Leonard Chek Yuet Wong, Andreas F. Prein, Hayley J. Fowler
Precipitation brought by cyclone systems has long been known as a major contributor to devastating flood events.Recent post-tropical cyclones (PTCs), which transform from tropical cyclones (TC) to extratropical cyclones (ETC) in the mid-latitudes, are among the strongest cyclones in the mid-latitude European region. Understanding PTCs and their precipitation behavior, particularly in the context of
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Triggers of inland heavy rainfall inducing convective storms in West Africa : Case study of June, 2021 Weather Clim. Extrem. (IF 6.1) Pub Date : 2024-12-16 G.A. Torsah, M.A. Osei, J.N.A. Aryee, J.A.A. Oti, L.K. Amekudzi
Due to their rapidly changing atmospheric processes, forecasting thunderstorms resulting from the merger of isolated cells is a complex task for highly-resolved numerical weather prediction models. This study employed a novel approach to establish the processes that drive updrafts and downdrafts in the merger of isolated thunderstorm cells that produced heavy rainfall and flooding in Kumasi and other
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Spatiotemporal variation of intra-urban heat and heatwaves across Greater Sydney, Australia Weather Clim. Extrem. (IF 6.1) Pub Date : 2024-12-09 Sebastian Pfautsch, Agnieszka Wujeska-Klause, Judi R. Walters
Rising summer heat and more frequent and intense heatwaves impact countless metropolitan regions, including Greater Sydney, Australia. An analysis of historic air temperature measurements (1859–2020) reveals a notable increase in the number of ‘hot’ (≥35 °C) days during austral summers. While in the first 120 years of records 351 hot days were identified, 478 hot days were recorded during 2000–2020
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Projecting impacts of extreme weather events on crop yields using LASSO regression Weather Clim. Extrem. (IF 6.1) Pub Date : 2024-11-13 Jasmin Heilemann, Christian Klassert, Luis Samaniego, Stephan Thober, Andreas Marx, Friedrich Boeing, Bernd Klauer, Erik Gawel
Extreme weather events are recognized as major drivers of crop yield losses, which threaten food security and farmers’ incomes. Given the increasing frequency and intensity of extreme weather under climate change, it is crucial to quantify the related future yield damages of important crops to inform prospective climate change adaptation planning. In this study, we present a statistical modeling approach
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Moisture sources for the unprecedented precipitation event in the heart of Taklimakan desert Weather Clim. Extrem. (IF 6.1) Pub Date : 2024-11-12 Shijie Tang, Tianjun Zhou, Lixia Zhang, Liwei Zou, Wenxia Zhang, Shijia Liu
The Taklimakan desert, situated in western China and known for its scarcity of precipitation, experienced an unprecedented precipitation event on 13-14th May 2021. However, the moisture sources and the reason for such extreme precipitation in the heart of the desert remain unexplored. Here, leveraging rain gauge observations from Tazhong Station, situated in the heartland of the Taklimakan Desert,
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China is suffering from fewer but more severe drought to flood abrupt alternation events Weather Clim. Extrem. (IF 6.1) Pub Date : 2024-11-07 Jun Su, Yihui Ding, Yanju Liu, Jing Wang, Yingxian Zhang
Drought to flood abrupt alternation (DFAA) events, as a special category of compound extreme events that suddenly shift from drought to flood conditions, have significantly greater impacts than individual drought or flood events. In this paper, we have utilized a multifactorial drought index and flood index to identify daily DFAA events occurring in mainland China and in major impact areas during the
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Naming droughts: Historical perspectives on the scientific coining of “the Tinderbox Drought” Weather Clim. Extrem. (IF 6.1) Pub Date : 2024-10-18 Thomas H. Ford
Most droughts go unnamed. At the time they are happening, they are generally referred to simply as “the drought.” After the fact, they are typically designated by a year or run of years rather than by a name: 1927–29, for instance. But in recent decades, proper names have increasingly been bestowed on droughts in southeast Australia in an informal although widely accepted practice. Examples include
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Unravelling the complex interplay between daily and sub-daily rainfall extremes in different climates Weather Clim. Extrem. (IF 6.1) Pub Date : 2024-10-18 Selma B. Guerreiro, Stephen Blenkinsop, Elizabeth Lewis, David Pritchard, Amy Green, Hayley J. Fowler
Understanding short-duration intense rainfall is crucial for mitigating flash floods, landslides, soil erosion, and pollution incidents. Yet, most observations from rain gauges are only available at the daily resolution. We use the new Global Sub Daily Rainfall dataset to explore extreme rainfall at both daily and sub-daily durations worldwide. Employing Single Gauge Analysis (SGA) and pioneering global-scale
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How unusual was Australia's 2017–2019 Tinderbox Drought? Weather Clim. Extrem. (IF 6.1) Pub Date : 2024-10-17 Georgina Falster, Sloan Coats, Nerilie Abram
Australia's Murray-Darling Basin experienced three consecutive years of meteorological drought across 2017–2019, collectively named the ‘Tinderbox Drought’. Rainfall deficits during the three-year drought were most pronounced in the Australian cool season (April to September). Deficits in both the cool season and annual total rainfall were unprecedented in the instrumental record. However, the instrumental
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Projected changes in mean climate and extremes from downscaled high-resolution CMIP6 simulations in Australia Weather Clim. Extrem. (IF 6.1) Pub Date : 2024-10-16 Sarah Chapman, Jozef Syktus, Ralph Trancoso, Nathan Toombs, Rohan Eccles
High-resolution climate change projections are required to evaluate local and regional climate change impacts. We used CCAM (Conformal Cubic Atmospheric Model) to dynamically downscale CMIP6 GCMs (Global Climate Models) over Australia under three emissions scenarios, producing a set of 60 simulations at a 10 km resolution. Previous work has evaluated the performance of the downscaled models in the
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Forecasting the groundwater levels in the Baltic through standardized index analysis Weather Clim. Extrem. (IF 6.1) Pub Date : 2024-10-11 Alise Babre, Konrāds Popovs, Andis Kalvāns, Marta Jemeļjanova, Aija Dēliņa
In regions where groundwater forms the primary source of drinking water, comprehending the prospective availability of subsurface water resources due to climate change is of paramount importance.
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Fast generation of high-dimensional spatial extremes Weather Clim. Extrem. (IF 6.1) Pub Date : 2024-10-09 Hans Van de Vyver
Widespread extreme climate events cause many fatalities, economic losses and have a huge impact on critical infrastructure. It is therefore of utmost importance to estimate the frequency and associated consequences of spatially concurrent extremes. Impact studies of climate extremes are severely hampered by the lack of extreme observations, and even large ensembles of climate simulations often do not
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Anthropogenic influence on precipitation in Aotearoa New Zealand with differing circulation types Weather Clim. Extrem. (IF 6.1) Pub Date : 2024-10-05 Anjali Thomas, Adrian McDonald, James Renwick, Suzanne Rosier, Jordis S. Tradowsky, Gregory E. Bodeker
This study quantifies the influences of anthropogenic forcing to date on precipitation over Aotearoa New Zealand (ANZ). Large ensembles of simulations from the weather@home regional climate model experiments are analysed under two scenarios, a natural (NAT) or counter-factual scenario which excludes human-induced changes to the climate system and an anthropogenic (ANT) or factual scenario. The impacts
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Future changes of socioeconomic exposure to potential landslide hazards over mainland China Weather Clim. Extrem. (IF 6.1) Pub Date : 2024-10-01 Donghuan Li, Youcun Qi, Tianjun Zhou, Wenxia Zhang
Landslides are among the most destructive natural disasters, having huge socioeconomic impacts. Here, we investigate future changes in potential rainfall-induced landslide activities and their socioeconomic consequences in mainland China using CMIP6 simulations under five combined scenarios of the Shared Socioeconomic Pathways and the Representative Concentration Pathways (SSP1-1.9, SSP1-2.6, SSP2-4
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The flash droughts across the south-central United States in 2022: Drivers, predictability, and impacts Weather Clim. Extrem. (IF 6.1) Pub Date : 2024-10-01 Jordan I. Christian, Taylor M. Grace, Benjamin J. Fellman, Daniel F. Mesheske, Stuart G. Edris, Henry O. Olayiwola, Jeffrey B. Basara, Brian A. Fuchs, Jason C. Furtado
A rare subseasonal-to-seasonal phenomenon – two consecutive flash drought events interrupted by a period of recovery – occurred across eastern Oklahoma, Arkansas, and southern Missouri, spanning the summer and early fall of 2022. These flash drought events (the first in June–July, the second in August–September) led to severe (D2) and extreme (D3) drought conditions via the United States Drought Monitor
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The 2022 record-high heat waves over southwestern Europe and their underlying mechanism Weather Clim. Extrem. (IF 6.1) Pub Date : 2024-10-01 Jeong-Hun Kim, So-Hyun Nam, Maeng-Ki Kim, Roberto Serrano-Notivoli, Ernesto Tejedor
Recently, the intensity and frequency of heat waves (HWs) have been increased worldwide. Particularly in 2022, Europe was severely affected by unprecedented HWs, which caused approximately 61,672 deaths and 11,324 deaths in Europe and Spain, respectively. In this study, we investigate the mechanisms of the HWs in southwestern Europe (SWEU) to identify the differences between typical HWs and the extreme
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Downscaling, bias correction, and spatial adjustment of extreme tropical cyclone rainfall in ERA5 using deep learning Weather Clim. Extrem. (IF 6.1) Pub Date : 2024-09-30 Guido Ascenso, Andrea Ficchì, Matteo Giuliani, Enrico Scoccimarro, Andrea Castelletti
Hydrological models that are used to analyse flood risk induced by tropical cyclones often input ERA5 reanalysis data. However, ERA5 precipitation has large systematic biases, especially over heavy precipitation events like Tropical Cyclones, compromising its usefulness in such scenarios. Few studies to date have performed bias correction of ERA5 precipitation and none of them for extreme rainfall
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Corrigendum to “Increasing extreme flood risk under future climate change scenarios in South Korea” [Weather Clim. Extrem. 39 (2023) 1–12, 100552] Weather Clim. Extrem. (IF 6.1) Pub Date : 2024-09-23 S. Kim, J.-H. Kwon, J.-S. Om, T. Lee, G. Kim, H. Kim, J.-H. Heo
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The 2019–21 drought in southern Madagascar Weather Clim. Extrem. (IF 6.1) Pub Date : 2024-09-23 Rondrotiana Barimalala, Caroline Wainwright, Erik W. Kolstad, Teferi D. Demissie
Two consecutive failed rainy seasons in the southern part of Madagascar in 2019–21 had devastating impacts on the population, including an amplification of the ongoing food insecurity in the area. The drought events were second in severity only to the 1990–92 drought and were estimated in a previous study to have a return period of 135 years. In this study, the physical mechanisms that led to these
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Intrinsic short Marine Heatwaves from the perspective of sea surface temperature and height Weather Clim. Extrem. (IF 6.1) Pub Date : 2024-09-19 Yuwei Hu, Xiao Hua Wang, Helen Beggs, Chunzai Wang
Marine heatwaves (MHWs) have recently been recognized as extreme climate events considering their devastating impacts on marine ecosystems. Our study explored the spatial and temporal variability of short (duration <10 days) and long MHWs in nine sub-regions around the Australian coastal region using the original (5-day) and an updated longer duration (10-day) criteria for MHW identification based
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Contribution of land-atmosphere coupling in 2022 CONUS compound drought-heatwave events and implications for forecasting Weather Clim. Extrem. (IF 6.1) Pub Date : 2024-09-15 Donghyuck Yoon, Jan-Huey Chen, Eunkyo Seo
Severe compound drought-heatwave events were observed over three regions of the Contiguous United States (CONUS), Northwest (NW), Great Plains (GP), and Northeast (NE) regions, during July and August 2022. In this study, we have found that the developments of these drought-heatwave events were shaped by different land-atmosphere coupling behaviors which are associated with water and energy limitation
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Future projection of extreme precipitation using a pseudo-global warming method: A case study of the 2013 Alberta flooding event Weather Clim. Extrem. (IF 6.1) Pub Date : 2024-09-14 Xiaohui Zhao, Yanping Li, Zhenhua Li, Fei Huo
The June 2013 extreme precipitation event in Alberta resulted in devastating flash floods that caused significant economic losses and societal disruption. In this study, two high-resolution experiments were conducted using the Weather Research and Forecasting (WRF) model to study the change of the 2013 Alberta extreme precipitation event in a warmer climate. The control experiment was forced with 6-hourly
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Flash drought and heatwave compound events increased in strength and length from 1980 to 2022 in China Weather Clim. Extrem. (IF 6.1) Pub Date : 2024-09-14 Kaiqi Fu, Hongyong Yu, Yao Zhang, Dan Zhu, Hongyan Liu, Kaicun Wang
Compound flash drought and heatwave (FDHW) events have garnered increasing amounts of attention due to their substantial impacts on agriculture, water resources, and public health. However, studies on their intensity and classification in China are limited. In this study, we classified FDHW events in China from 1980 to 2022 using a classification framework designed to address regional patterns and
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Corrigendum “Multiscale drivers of catastrophic heavy rainfall event in early August 2022 in South Korea” [Weather and Climate Extremes, 44, 2024, 1–16/10068] Weather Clim. Extrem. (IF 6.1) Pub Date : 2024-09-13 Chanil Park, Min-Jee Kang, Jaeyoung Hwang, Hyeong-Oh Cho, Sujin Kim, Seok-Woo Son
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Multivariate analysis of compound hail, wind and rainfall extremes in Alberta's hail alley Weather Clim. Extrem. (IF 6.1) Pub Date : 2024-09-03 Issam Mohamed, Mohammad Reza Najafi, Paul Joe, Julian Brimelow
Hailstorms are severe weather events with the potential for devastating impacts. The consequences can be significantly worsened when hail events are accompanied by strong winds, intensifying both hail momentum and damage to property sidings and windows. Additionally, rainfall extremes during hailstorms can disrupt the drainage systems, potentially leading to flash flooding. Therefore, understanding
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Land-atmosphere coupling amplified the record-breaking heatwave at altitudes above 5000 meters on the Tibetan Plateau in July 2022 Weather Clim. Extrem. (IF 6.1) Pub Date : 2024-08-20 Kexin Gui, Tianjun Zhou, Wenxia Zhang, Xing Zhang
In July 2022, regions with elevations exceeding 5 000 m on the inner Tibetan Plateau (TP) witnessed a record-breaking heatwave. But how the atmospheric circulation and soil moisture play roles in the occurrence and maintenance of the heatwave in such high elevation climate sensitive region remains unknown. Here, by using the flow analogue method, we find that negative soil moisture anomalies explain
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Integrating historical storm surge events into flood risk security in the Copenhagen region Weather Clim. Extrem. (IF 6.1) Pub Date : 2024-08-20 Jian Su, Bastian Poulsen, Jacob Woge Nielsen, Carlo Sass Sørensen, Morten Andreas Dahl Larsen
Rapid urbanisation along the coasts of the world in recent decades has increased their vulnerability to storm surges, especially in response to mean sea level rise. The unique geographical and social conditions of Copenhagen, a major European coastal city, have prompted urban expansion along Køge Bay to the south of the city. However, this new urbanisation area is confronted with the common obstacle
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The key role of extreme weather and climate change in the occurrence of exceptional fire seasons in south-central Chile Weather Clim. Extrem. (IF 6.1) Pub Date : 2024-08-16 Tomás Carrasco-Escaff, René Garreaud, Deniz Bozkurt, Martín Jacques-Coper, Aníbal Pauchard
Unprecedentedly large areas were burned during the 2016/17 and 2022/23 fire seasons in south-central Chile (34-39°S). These seasonal-aggregated values were mostly accounted for human-caused wildfires within a limited period in late January 2017 and early February 2023. In this paper, we provide a comprehensive analysis of the meteorological conditions during these events, from local to hemispheric
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Identifying the dominant compound events and their impacts on vegetation growth in China Weather Clim. Extrem. (IF 6.1) Pub Date : 2024-08-15 Xuezheng Zong, Yang Liu, Yunhe Yin
Terrestrial vegetation plays a vital role in global carbon recycling, but it is also affected by compound events (CEs); however, little is known about the impacts of these CEs on vegetation in terms of their occurrence and magnitude. Using meteorological observations and vegetation indices (leaf area index (LAI), gross primary productivity (GPP), and net primary productivity (NPP)) from 1981 to 2020
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Increasing WNP tropical cyclone-related extreme precipitation over East Asia during boreal summer associated with PDO shift Weather Clim. Extrem. (IF 6.1) Pub Date : 2024-08-15 Jiwei Wu, Ryuichi Kawamura, Takashi Mochizuki, Tetsuya Kawano
Over the past two decades, there has been a significant shift in tropical cyclone (TC) activity in the western North Pacific (WNP) basin during the boreal summer. Our analysis of data spanning from 1979 to 2021 reveals significant shifts in the WNP TC characteristics and rainfall pattern variation. To deepen our understanding of TC-related precipitation dynamics, we expressly address the difference
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Local hydroclimate drives differential warming rates between regular summer days and extreme hot days in the Northern Hemisphere Weather Clim. Extrem. (IF 6.1) Pub Date : 2024-07-30 Abhishekh Kumar Srivastava, Michael Wehner, Céline Bonfils, Paul Aaron Ullrich, Mark Risser
In this work, we compare the rate of warming of summertime extreme temperatures (summer maximum value of daily maximum temperature; TXx) relative to the local mean (summer mean daily maximum temperature; TXm) over the Northern Hemisphere in observations and one set of large ensemble (LE) simulations. During the 1979–2021 historical period, observations and simulations show robust warming trends in
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Mechanism for compound daytime-nighttime heatwaves in the Barents–Kara Sea during the boreal autumn and their relationship with sea ice variability Weather Clim. Extrem. (IF 6.1) Pub Date : 2024-07-30 Yue Xin, Wenting Hu, Anmin Duan, Bin Tang, Yuheng Tang
The frequency of heatwaves in the Arctic is on the rise under global warming. These occurrences not only profoundly impact the local ecological environment but also exert remote effects on East Asia and even the global climate. Yet, there exists a noticeable dearth of research focus on Arctic compound daytime-nighttime heatwaves, limiting our comprehension of Arctic climate dynamics. We investigated
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Extreme precipitation events over the east coast of northeast Brazil: Synoptic study and MPAS simulation Weather Clim. Extrem. (IF 6.1) Pub Date : 2024-07-30 Matheus José Arruda Lyra, Helber Barros Gomes, Dirceu Luís Herdies, Enver Ramirez, Lucas Carvalho Vieira Cavalcante, Ismael Guidson Farias de Freitas, José Antonio Aravéquia, Silvio Nilo Figueroa, Maria Cristina Lemos da Silva, Fabricio Daniel dos Santos Silva, Heliofábio Barros Gomes, Eder Paulo Vendrasco, Leonardo Calvetti, José Antonio Mantovani Jr., Jayant Pendharkar, William Coelho, Mário Francisco
In the present study two extreme events that occurred in the East Coast of Northeast Brazil (ENEB) during 2022 and 2023 were evaluated. These events are becoming increasingly frequent in all regions of Brazil, associated with significant material and human losses, emphasizing the significance of a deeper comprehension of these events. ERA5 global reanalysis data, GOES-16 satellite imagery and pluviometric
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The 2022-23 drought in the South American Altiplano: ENSO effects on moisture flux in the western Amazon during the pre-wet season Weather Clim. Extrem. (IF 6.1) Pub Date : 2024-07-29 Ricardo A. Gutierrez-Villarreal, Jhan-Carlo Espinoza, Waldo Lavado-Casimiro, Clémentine Junquas, Jorge Molina-Carpio, Thomas Condom, José A. Marengo
The 2022-23 hydrological year in the Lake Titicaca, Desaguadero River, and Lake Poopó hydrological system (TDPS) over the South American Altiplano constituted a historically dry period. This drought was particularly severe during the pre-wet season (October–December), when the TDPS and the adjacent Andean-Amazon region experienced as much as 60% reductions in rainfall. Consequently, Titicaca Lake water
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Probabilistic analysis of drought impact on wheat yield and climate change implications Weather Clim. Extrem. (IF 6.1) Pub Date : 2024-07-14 Bin Wang, Linchao Li, Puyu Feng, Chao Chen, Jing-Jia Luo, Andréa S. Taschetto, Matthew Tom Harrison, Ke Liu, De Li Liu, Qiang Yu, Xiaowei Guo
Drought is projected to intensify under warming climate and will continuously threaten global food security. Assessing the risk of yield loss due to drought is key to developing effective agronomic options for farmers and policymakers. However, little has been known about determining the likelihood of reduced crop yield under different drought conditions and defining thresholds that trigger yield loss
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Anthropogenic forcing and subtropical anticyclonic drivers of the August 2022 heatwave in China Weather Clim. Extrem. (IF 6.1) Pub Date : 2024-07-06 Wenjun Liang, Chenhao Li, Yifan Wu, Meng Zou, Xian Zhu, Wenjie Dong, John C. Moore, Fei Liu, Shaobo Qiao, Tianyun Dong, Kaixi Wang, Dong Chen, Qi Ran
The Yangtze River basin experienced record-breaking high temperatures in July–August 2022, leading the China Meteorological Administration to issue its first ever “red heat warning”. We use simulations from the Detection and Attribution Model Intercomparison Project (DAMIP) of the Coupled Model Intercomparison Project 6 (CMIP6) to investigate the role of anthropogenic drivers in this extreme event
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Anthropogenic influences on the extremely dry and hot summer of 2020 in Southern China and projected changes in the likelihood of the event Weather Clim. Extrem. (IF 6.1) Pub Date : 2024-06-19 Kaixi Wang, Zhiyuan Zheng, Xian Zhu, Wenjie Dong, Simon F.B. Tett, Buwen Dong, Wenxia Zhang, Fraser C. Lott, Lulei Bu, Yumiao Wang, Huixin Li, Nergui Nanding, Nicolas Freychet, Dongqian Wang, Shaobo Qiao
During summer 2020, Southern China experienced an extremely dry and hot summer, which was identified as one of the top ten domestic weather and climate extreme events in 2020 by China Meteorological Administration. Summer mean precipitation, surface air temperature (TAS), and number of hot days (NHD) were about 25% dryer, 1.5 °C warmer, and 11 days larger than the 1981–2010 climatologies. These are
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Spatio-temporal characteristics of Heat stress over Nigeria using evaluated ERA5-HEAT reanalysis data Weather Clim. Extrem. (IF 6.1) Pub Date : 2024-06-15 Tobi Eniolu Morakinyo, Kazeem Abiodun Ishola, Emmanuel Olaoluwa Eresanya, Mojolaoluwa Toluwalase Daramola, Ifeoluwa Adebowale Balogun
Nigeria's growing population faces an increasing heat burden with potential health risks. The Universal Thermal Comfort Index (UTCI) links outdoor conditions and human well-being but lacks comprehensive data in developing regions like Nigeria. ERA5-HEAT reanalysis offers a solution with gridded UTCI and MRT data, but validation is crucial. Thus, this study evaluates the ERA5-HEAT UTCI against data
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Climatological context of the mid-November 2021 floods in the province of British Columbia, Canada Weather Clim. Extrem. (IF 6.1) Pub Date : 2024-06-12 Tamar S. Richards-Thomas, Stephen J. Déry, Ronald E. Stewart, Julie M. Thériault
The Canadian province of British Columbia (BC) is subjected to large-scale, destructive floods. The most dramatic was a mid-November 2021 event when atmospheric rivers (ARs) linked to high-intensity storms caused heavy rainfall in southwestern BC, triggering catastrophic flooding. This study examines 37 floods from 2000 to 2021 using information from over 250 climatological stations and compares events
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Examining the role of biophysical feedbacks on simulated temperature extremes during the Tinderbox Drought and Black Summer bushfires in southeast Australia Weather Clim. Extrem. (IF 6.1) Pub Date : 2024-06-11 Mengyuan Mu, Manon E.B. Sabot, Anna M. Ukkola, Sami W. Rifai, Martin G. De Kauwe, Sanaa Hobeichi, Andy J. Pitman
The Tinderbox Drought (2017–2019) was one of the most severe droughts recorded in Australia. The extreme summer air temperatures (>40 °C) combined with drought, contributed to the unprecedented Black Summer bushfires in 2019–20 over southeast Australia. Whilst the temperature extremes were largely driven by synoptic processes, it is important to understand to what extent interactions between land and
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Assessing the potential of compound extreme storm surge and precipitation along China's coastline Weather Clim. Extrem. (IF 6.1) Pub Date : 2024-06-11 Yuqing Li, Jiangbo Gao, Jie Yin, Shaohong Wu
The occurrence of extreme storm surges and precipitation simultaneously or successively can lead to compound flooding. The interaction between extreme storm surges and precipitation holds significant implications for understanding the potential contributing to compound flood risk in coastal areas. This study examines the likelihood of joint occurrence for compound extreme storm surges and precipitation
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A new conceptual model for understanding and predicting life-threatening rainfall extremes Weather Clim. Extrem. (IF 6.1) Pub Date : 2024-06-10 Paul A. Davies, Hayley J. Fowler, Roberto Villalobos Herrera, Julia Slingo, David L.A. Flack, Mateusz Taszarek
The motivation of our study is to provide forecasters and users complementary guidance and tools to identify and predict atmospheric conditions that could lead to life-threatening flash floods. Using hourly and sub-hourly rainfall datasets, proximity radiosondes, ERA5 reanalysis of extreme rainfall events in the UK during 2000–2020, and case studies in 2021, we observe a three-layered atmospheric structure
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Comparative assessment of dry- and humid-heat extremes in a warming climate: Frequency, intensity, and seasonal timing Weather Clim. Extrem. (IF 6.1) Pub Date : 2024-06-06 Xuewei Fan, Chiyuan Miao, Yi Wu, Vimal Mishra, Yuanfang Chai
Dry and humid-heat extremes are two types of heat extremes, each exhibiting unique climatological characteristics and impacts on different sectors of society. Using historical simulations and projections produced under two Shared Socioeconomic Pathways (SSP2-4.5 and SSP5-8.5) by models from the sixth phase of the Coupled Model Intercomparison Project (CMIP6), we show a comparative assessment of the