{"title":"Has the Fire Weather Index Emerged? Insights from Global and Regional Climate Models","authors":"Rita Nogherotto, Francesca Raffaele, Graziano Giuliani, Erika Coppola","doi":"10.1016/j.wace.2026.100861","DOIUrl":"https://doi.org/10.1016/j.wace.2026.100861","url":null,"abstract":"","PeriodicalId":48630,"journal":{"name":"Weather and Climate Extremes","volume":"23 1","pages":""},"PeriodicalIF":8.0,"publicationDate":"2026-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146072716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-28DOI: 10.1016/j.wace.2026.100862
Enda O’Brien, Jingyu Wang, Páraic Ryan, Paul Nolan, Carla Mateus
{"title":"A Depth-Duration-Frequency Model for Analysis of Extreme Precipitation Events, with Application to Past and Projected Future Climates in Ireland","authors":"Enda O’Brien, Jingyu Wang, Páraic Ryan, Paul Nolan, Carla Mateus","doi":"10.1016/j.wace.2026.100862","DOIUrl":"https://doi.org/10.1016/j.wace.2026.100862","url":null,"abstract":"","PeriodicalId":48630,"journal":{"name":"Weather and Climate Extremes","volume":"35 2 1","pages":""},"PeriodicalIF":8.0,"publicationDate":"2026-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146072717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-24DOI: 10.1016/j.wace.2026.100860
Xiaolan L. Wang, Yang Feng
This study first developed a homogenized daily precipitation dataset for 425 long-term stations across Canada. Then, it used the homogenized data to assess trends in annual maximum one-day and five-day precipitation, annual maximum one-day snowfall and rainfall, and annual number of heavy precipitation days, of heavy snowfall days, and of heavy rainfall days.
The results show that trends in precipitation extreme indices are dominantly positive across Canada, while trends in extreme snowfall amounts are dominantly negative in southern Canada but dominantly positive in northern Canada. Over the period of 1949–2023, the rate of increase in regional mean indices is estimated to be 2.2 % and 1.7 % per decade for Canada's North and South, respectively, for annual maximum one-day precipitation, and 1.4 % and 1.3 % per decade for annual maximum five-day precipitation. The regional mean annual number of heavy precipitation days is estimated to have increased by 4.3 % per decade in Canada's North and 0.9 % per decade in Canada's South (increased at 56 % and 54 % of the stations, respectively). The regional mean annual maximum 1-day snowfall is estimated to have decreased by 0.5 % per decade in Canada's South but increased by 1.7 % per decade in Canada's North. For regional mean heavy snowfall days, the rate of decrease is estimated to be 3.4 % per decade in Canada's South, matched with an increase of 1.1 % per decade in Canada's North. Similar trend characteristics are seen at southern stations over their longer data record periods (since 1900 or later but before 1949).
{"title":"Observed trends in precipitation extreme indices as inferred from a homogenized daily precipitation dataset for Canada","authors":"Xiaolan L. Wang, Yang Feng","doi":"10.1016/j.wace.2026.100860","DOIUrl":"10.1016/j.wace.2026.100860","url":null,"abstract":"<div><div>This study first developed a homogenized daily precipitation dataset for 425 long-term stations across Canada. Then, it used the homogenized data to assess trends in annual maximum one-day and five-day precipitation, annual maximum one-day snowfall and rainfall, and annual number of heavy precipitation days, of heavy snowfall days, and of heavy rainfall days.</div><div>The results show that trends in precipitation extreme indices are dominantly positive across Canada, while trends in extreme snowfall amounts are dominantly negative in southern Canada but dominantly positive in northern Canada. Over the period of 1949–2023, the rate of increase in regional mean indices is estimated to be 2.2 % and 1.7 % per decade for Canada's North and South, respectively, for annual maximum one-day precipitation, and 1.4 % and 1.3 % per decade for annual maximum five-day precipitation. The regional mean annual number of heavy precipitation days is estimated to have increased by 4.3 % per decade in Canada's North and 0.9 % per decade in Canada's South (increased at 56 % and 54 % of the stations, respectively). The regional mean annual maximum 1-day snowfall is estimated to have decreased by 0.5 % per decade in Canada's South but increased by 1.7 % per decade in Canada's North. For regional mean heavy snowfall days, the rate of decrease is estimated to be 3.4 % per decade in Canada's South, matched with an increase of 1.1 % per decade in Canada's North. Similar trend characteristics are seen at southern stations over their longer data record periods (since 1900 or later but before 1949).</div></div>","PeriodicalId":48630,"journal":{"name":"Weather and Climate Extremes","volume":"51 ","pages":"Article 100860"},"PeriodicalIF":6.9,"publicationDate":"2026-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146048453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-21DOI: 10.1016/j.wace.2026.100859
Changyong Park , Ana Juzbašić , Dong-Hyun Cha , Seung-Ki Min , Joong-Bae Ahn , Eun-Chul Chang , Young-Hwa Byun , Youngeun Choi
As global warming intensifies, the frequency and intensity of extremely high temperatures are expected to increase. This will impact the production of photovoltaics (PVs), which are increasingly adopted as an effective alternative to replace fossil fuel–based energy sources and reduce CO2 emissions. Furthermore, extremely high temperature days account for a considerable proportion of days with high PV power potential (PVpot). Therefore, this study investigates changes in PVpot on future extremely high temperature days over East Asia, a region with high greenhouse gas emissions and vulnerability to extreme climatic events. The East Asia–averaged PVpot for extremely high temperature days was estimated to decrease across all scenarios and future periods. The East Asia–averaged PVpot for extremely high temperature days was predicted to decrease more substantially toward the late 21st century, with a larger magnitude of decrease expected under the high–carbon emissions scenario compared to the low–carbon emissions scenario. By the mid–and late 21st century, PVpot for extremely high temperature days was projected to decrease in PV hotspot areas, particularly in the regions of northern China and southern Mongolia, by up to −7.2 %. The signs of PVpot projections vary across sub–regions under summer mean conditions, while on extremely high temperature days, PVpot is consistently expected to decrease in all regions. This suggests that extremely high temperatures further intensify the decrease in PVpot. Moreover, under extremely high-temperature conditions, near-surface air temperature has been identified as the primary driver of projected decreases in PVpot among the climate variables considered; its influence is expected to intensify over time, thereby accelerating PVpot decreases under the high–carbon emissions scenario. Based on the findings, this study is expected to provide new insights for the development of renewable energy policies in a future where extremely high temperatures are projected to increase.
{"title":"Impact of extremely high temperature on future photovoltaic power potential over East Asia","authors":"Changyong Park , Ana Juzbašić , Dong-Hyun Cha , Seung-Ki Min , Joong-Bae Ahn , Eun-Chul Chang , Young-Hwa Byun , Youngeun Choi","doi":"10.1016/j.wace.2026.100859","DOIUrl":"10.1016/j.wace.2026.100859","url":null,"abstract":"<div><div>As global warming intensifies, the frequency and intensity of extremely high temperatures are expected to increase. This will impact the production of photovoltaics (PVs), which are increasingly adopted as an effective alternative to replace fossil fuel–based energy sources and reduce CO<sub>2</sub> emissions. Furthermore, extremely high temperature days account for a considerable proportion of days with high PV power potential (PVpot). Therefore, this study investigates changes in PVpot on future extremely high temperature days over East Asia, a region with high greenhouse gas emissions and vulnerability to extreme climatic events. The East Asia–averaged PVpot for extremely high temperature days was estimated to decrease across all scenarios and future periods. The East Asia–averaged PVpot for extremely high temperature days was predicted to decrease more substantially toward the late 21st century, with a larger magnitude of decrease expected under the high–carbon emissions scenario compared to the low–carbon emissions scenario. By the mid–and late 21st century, PVpot for extremely high temperature days was projected to decrease in PV hotspot areas, particularly in the regions of northern China and southern Mongolia, by up to −7.2 %. The signs of PVpot projections vary across sub–regions under summer mean conditions, while on extremely high temperature days, PVpot is consistently expected to decrease in all regions. This suggests that extremely high temperatures further intensify the decrease in PVpot. Moreover, under extremely high-temperature conditions, near-surface air temperature has been identified as the primary driver of projected decreases in PVpot among the climate variables considered; its influence is expected to intensify over time, thereby accelerating PVpot decreases under the high–carbon emissions scenario. Based on the findings, this study is expected to provide new insights for the development of renewable energy policies in a future where extremely high temperatures are projected to increase.</div></div>","PeriodicalId":48630,"journal":{"name":"Weather and Climate Extremes","volume":"51 ","pages":"Article 100859"},"PeriodicalIF":6.9,"publicationDate":"2026-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146033640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-14DOI: 10.1016/j.wace.2026.100856
Yueyao Li , Xiaopeng Cui , Yun Chen , Wen Bao , Qing Lin
This study analyzes the spatiotemporal distribution and peak current (PC) characteristics of cloud-to-ground lightning (CG) over North China (NC) from 2009 to 2023, based on observations from the Advanced Directional Thunderstorm Detector (ADTD) network. The results show that 4,294,310 CG flashes are detected over the 15-year period; approximately 87 % are negative CG flashes (NCG). Approximately 48 % of multi-stroke NCG contain at least one subsequent stroke with a PC exceeding that of the first stroke. The spatial distribution of CG in NC is influenced by local topography, with two density maxima located in the western mountains and the northeastern mountainous fringe. Positive CG flashes (PCG) generally concentrate along mountain–plain transition zones with steep terrain gradients in western and northern NC. CG activity exhibits pronounced interannual variability: NCG frequency decreases significantly from 2013 to 2020, which leads to a marked increase in the proportion of PCG (PPCG). This interannual change may be largely attributed to the implementation of regional air pollution control measures that reduce aerosol concentrations; such reductions may alter cloud microphysics and thereby contribute to the observed CG trends. Monthly CG variability is strongly tied to monsoon activity: CG frequency peaks in the warm season, whereas PPCG is higher in the cold season. More than half of thunderstorm days (TSD) in NC occur in summer. Thunderstorms typically initiate over mountains in the afternoon and propagate eastward onto the NC Plain.
{"title":"Statistics of Cloud-to-Ground Lightning Activity over North China during 2009–2023","authors":"Yueyao Li , Xiaopeng Cui , Yun Chen , Wen Bao , Qing Lin","doi":"10.1016/j.wace.2026.100856","DOIUrl":"10.1016/j.wace.2026.100856","url":null,"abstract":"<div><div>This study analyzes the spatiotemporal distribution and peak current (PC) characteristics of cloud-to-ground lightning (CG) over North China (NC) from 2009 to 2023, based on observations from the Advanced Directional Thunderstorm Detector (ADTD) network. The results show that 4,294,310 CG flashes are detected over the 15-year period; approximately 87 % are negative CG flashes (NCG). Approximately 48 % of multi-stroke NCG contain at least one subsequent stroke with a PC exceeding that of the first stroke. The spatial distribution of CG in NC is influenced by local topography, with two density maxima located in the western mountains and the northeastern mountainous fringe. Positive CG flashes (PCG) generally concentrate along mountain–plain transition zones with steep terrain gradients in western and northern NC. CG activity exhibits pronounced interannual variability: NCG frequency decreases significantly from 2013 to 2020, which leads to a marked increase in the proportion of PCG (<em>P</em><sub>PCG</sub>). This interannual change may be largely attributed to the implementation of regional air pollution control measures that reduce aerosol concentrations; such reductions may alter cloud microphysics and thereby contribute to the observed CG trends. Monthly CG variability is strongly tied to monsoon activity: CG frequency peaks in the warm season, whereas <em>P</em><sub>PCG</sub> is higher in the cold season. More than half of thunderstorm days (TSD) in NC occur in summer. Thunderstorms typically initiate over mountains in the afternoon and propagate eastward onto the NC Plain.</div></div>","PeriodicalId":48630,"journal":{"name":"Weather and Climate Extremes","volume":"51 ","pages":"Article 100856"},"PeriodicalIF":6.9,"publicationDate":"2026-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145995753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Extreme water levels in estuaries exhibit considerable variability on multiple spatial and temporal scales, driven by complex responses to coastal, hydrological, meteorological, geological, and anthropogenic factors. These factors complicate the prediction of high-water level events and their characteristics. Although extensive literature exists on hydroclimatic and coastal extremes, few studies conduct comprehensive statistical analyses that jointly consider multiple drivers and the spatiotemporal variability of high-water-level events in estuaries. This study addresses these gaps by developing a robust statistical framework to identify, characterize and attribute local and regional high-water-level events in the St. Lawrence River Estuary (Canada) over the period 1980–2023. Building on existing approaches, a Generalized Additive Model (GAM) formulation of non-stationary harmonic regression is used to decompose the water level variability at 11 gauging stations, with automated selection of covariates and tidal constituents. This decomposition quantifies the relative contributions of the underlying processes, enabling event classification according to their dominant coastal, tidal, or fluvial drivers. Distinct spatial patterns of tidal and non-tidal processes are observed along the fluvial estuary, and a specific transition zone is identified between dominant tidal and fluvial influences. The results indicate that non-stationary dynamics are distinct in different tidal and non-tidal frequency bands. The resulting event classification also demonstrated a different landward shift from coastal to hydrological drivers for tidal and non-tidal non-stationarity. These findings guide the statistical analysis and configuration of the hydrodynamic models used in meteorological forecasting, climate projections, and other specific applications.
{"title":"Tidal, hydrological and meteorological contributions to high-water level events in the Saint Lawrence River Estuary: Local responses to regional drivers","authors":"Silvia Innocenti , Marianne Fortier , Pascal Matte , Caroline Sevigny , Remi Gosselin , Olivier Champoux","doi":"10.1016/j.wace.2026.100852","DOIUrl":"10.1016/j.wace.2026.100852","url":null,"abstract":"<div><div>Extreme water levels in estuaries exhibit considerable variability on multiple spatial and temporal scales, driven by complex responses to coastal, hydrological, meteorological, geological, and anthropogenic factors. These factors complicate the prediction of high-water level events and their characteristics. Although extensive literature exists on hydroclimatic and coastal extremes, few studies conduct comprehensive statistical analyses that jointly consider multiple drivers and the spatiotemporal variability of high-water-level events in estuaries. This study addresses these gaps by developing a robust statistical framework to identify, characterize and attribute local and regional high-water-level events in the St. Lawrence River Estuary (Canada) over the period 1980–2023. Building on existing approaches, a Generalized Additive Model (GAM) formulation of non-stationary harmonic regression is used to decompose the water level variability at 11 gauging stations, with automated selection of covariates and tidal constituents. This decomposition quantifies the relative contributions of the underlying processes, enabling event classification according to their dominant coastal, tidal, or fluvial drivers. Distinct spatial patterns of tidal and non-tidal processes are observed along the fluvial estuary, and a specific transition zone is identified between dominant tidal and fluvial influences. The results indicate that non-stationary dynamics are distinct in different tidal and non-tidal frequency bands. The resulting event classification also demonstrated a different landward shift from coastal to hydrological drivers for tidal and non-tidal non-stationarity. These findings guide the statistical analysis and configuration of the hydrodynamic models used in meteorological forecasting, climate projections, and other specific applications.</div></div>","PeriodicalId":48630,"journal":{"name":"Weather and Climate Extremes","volume":"51 ","pages":"Article 100852"},"PeriodicalIF":6.9,"publicationDate":"2026-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145962699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-13DOI: 10.1016/j.wace.2026.100855
Gottfried Kirchengast, Stephanie J. Haas, Jürgen Fuchsberger
{"title":"A new class of climate hazard metrics and its demonstration: revealing a ten-fold increase of extreme heat over Europe","authors":"Gottfried Kirchengast, Stephanie J. Haas, Jürgen Fuchsberger","doi":"10.1016/j.wace.2026.100855","DOIUrl":"https://doi.org/10.1016/j.wace.2026.100855","url":null,"abstract":"","PeriodicalId":48630,"journal":{"name":"Weather and Climate Extremes","volume":"181 1","pages":""},"PeriodicalIF":8.0,"publicationDate":"2026-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145962698","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-09DOI: 10.1016/j.wace.2026.100854
Kyeongjoo Park, Jong-Jin Baik
The synergistic interactions between urban heat islands (UHIs) and heat waves (HWs) refer to a phenomenon that UHIs are intensified during HWs, resulting in a greater temperature increase due to HWs in urban areas than in rural areas. Despite significant variations of the UHI–HW synergies on a diurnal timescale, their key physical processes are still not clearly understood. This study examines the diurnal evolution of the UHI–HW synergies and its underlying physical processes. For this, we simulate an extreme HW event with strong UHI–HW synergies in Seoul, South Korea using the Weather Research and Forecasting (WRF) model. The UHI–HW synergies rapidly strengthen in early evening and diminish in early morning, similar to the diurnal pattern found in many large cities. In early evening, the rural diabatic cooling is greatly enhanced under clearer skies during HW while the increases in both urban stored heat release and urban turbulent mixing result in only a slight change in urban diabatic heating. These contrasting responses are primarily responsible for the strengthening of the UHI–HW synergies. In early morning, the warm air advection from the rural residual layer by subsidence significantly increases under HW while subsidence rarely occurs in the urban boundary layer. These different responses to HW are mainly responsible for the weakening of the UHI–HW synergies. This study underlines the importance of differing changes in urban and rural near-surface thermodynamic processes during HWs on the temporal evolution of the UHI–HW synergies.
{"title":"Diurnal evolution of synergistic interactions between urban heat islands and heat waves: An extreme heat wave case study in Seoul, South Korea","authors":"Kyeongjoo Park, Jong-Jin Baik","doi":"10.1016/j.wace.2026.100854","DOIUrl":"10.1016/j.wace.2026.100854","url":null,"abstract":"<div><div>The synergistic interactions between urban heat islands (UHIs) and heat waves (HWs) refer to a phenomenon that UHIs are intensified during HWs, resulting in a greater temperature increase due to HWs in urban areas than in rural areas. Despite significant variations of the UHI–HW synergies on a diurnal timescale, their key physical processes are still not clearly understood. This study examines the diurnal evolution of the UHI–HW synergies and its underlying physical processes. For this, we simulate an extreme HW event with strong UHI–HW synergies in Seoul, South Korea using the Weather Research and Forecasting (WRF) model. The UHI–HW synergies rapidly strengthen in early evening and diminish in early morning, similar to the diurnal pattern found in many large cities. In early evening, the rural diabatic cooling is greatly enhanced under clearer skies during HW while the increases in both urban stored heat release and urban turbulent mixing result in only a slight change in urban diabatic heating. These contrasting responses are primarily responsible for the strengthening of the UHI–HW synergies. In early morning, the warm air advection from the rural residual layer by subsidence significantly increases under HW while subsidence rarely occurs in the urban boundary layer. These different responses to HW are mainly responsible for the weakening of the UHI–HW synergies. This study underlines the importance of differing changes in urban and rural near-surface thermodynamic processes during HWs on the temporal evolution of the UHI–HW synergies.</div></div>","PeriodicalId":48630,"journal":{"name":"Weather and Climate Extremes","volume":"51 ","pages":"Article 100854"},"PeriodicalIF":6.9,"publicationDate":"2026-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145956949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-07DOI: 10.1016/j.wace.2026.100853
Qiaohua Liu , Lun Li
The northeastern Tibetan Plateau (TP) features complex terrain, and persistent extreme precipitation events (PEPEs) are key factors inducing landslides and mudflows in the northeastern TP and its downstream regions. A comprehensive understanding of PEPEs mechanisms is crucial but remains insufficient. This study investigates PEPEs characteristics and underlying mechanisms over the northeastern TP from a synoptic perspective, by objectively classifying PEPEs into two distinct types. Type1 (thermally triggered) develops in anomalously warm and moist environments across the TP, accompanied by a localized quasi-stationary shallow trough over the northeastern TP. Convection is initiated by thermodynamic forcing, wherein latent heating dominantly increases the potential vorticity (PV) in the mid-lower troposphere, enhancing the trough and thereby precipitation. Type1 tends to develop more rapidly and persist longer compared with Type2. Type2 (dynamically forced) is closely associated with the quasi-barotropic cold trough in mid-high latitudes, developing in an overall anomalously cold and dry environment over the TP, with moisture concentrated merely in the northeast. Precipitation is triggered by intense dynamical forcing east of the trough. As the trough moves eastward, the intrusion of high-PV air from the upper troposphere enhances the cold trough through horizontal and vertical advection. The precipitation evolves along with the eastward movement of the deep trough, presenting steadier and temporally symmetrical variation relative to the peak time. The results provide knowledge about the evolution mechanisms of the two types of PEPEs in the northeastern TP triggered in different environments, favoring the PEPEs forecast and disaster prevention over the TP and downstream regions.
{"title":"Mechanisms of two types of summer persistent extreme precipitation events in the northeastern Tibetan Plateau","authors":"Qiaohua Liu , Lun Li","doi":"10.1016/j.wace.2026.100853","DOIUrl":"10.1016/j.wace.2026.100853","url":null,"abstract":"<div><div>The northeastern Tibetan Plateau (TP) features complex terrain, and persistent extreme precipitation events (PEPEs) are key factors inducing landslides and mudflows in the northeastern TP and its downstream regions. A comprehensive understanding of PEPEs mechanisms is crucial but remains insufficient. This study investigates PEPEs characteristics and underlying mechanisms over the northeastern TP from a synoptic perspective, by objectively classifying PEPEs into two distinct types. Type1 (thermally triggered) develops in anomalously warm and moist environments across the TP, accompanied by a localized quasi-stationary shallow trough over the northeastern TP. Convection is initiated by thermodynamic forcing, wherein latent heating dominantly increases the potential vorticity (PV) in the mid-lower troposphere, enhancing the trough and thereby precipitation. Type1 tends to develop more rapidly and persist longer compared with Type2. Type2 (dynamically forced) is closely associated with the quasi-barotropic cold trough in mid-high latitudes, developing in an overall anomalously cold and dry environment over the TP, with moisture concentrated merely in the northeast. Precipitation is triggered by intense dynamical forcing east of the trough. As the trough moves eastward, the intrusion of high-PV air from the upper troposphere enhances the cold trough through horizontal and vertical advection. The precipitation evolves along with the eastward movement of the deep trough, presenting steadier and temporally symmetrical variation relative to the peak time. The results provide knowledge about the evolution mechanisms of the two types of PEPEs in the northeastern TP triggered in different environments, favoring the PEPEs forecast and disaster prevention over the TP and downstream regions.</div></div>","PeriodicalId":48630,"journal":{"name":"Weather and Climate Extremes","volume":"51 ","pages":"Article 100853"},"PeriodicalIF":6.9,"publicationDate":"2026-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145926316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-07DOI: 10.1016/j.wace.2026.100851
Łukasz Kurowski, Tomasz Wites
Climate literacy is essential for empowering societies to respond effectively to the challenges of climate change. However, individuals often struggle to address climate issues because of their abstract nature and perceived psychological distance. This study investigates whether direct personal experiences of extreme weather events are associated with higher scores on the climate literacy measures among Polish citizens. We developed and validated, through an expert-based process, the “Big Three Climate Literacy Questions” - a concise instrument designed to capture key components of climate literacy across knowledge, skills and attitudes - and administered them in a survey of 1001 residents from regions in Poland historically affected by floods and storms. Regression analyses reveal that the mere occurrence of an extreme weather event does not significantly influence scores on the climate literacy measures. However, when such events result in severe financial or psychological consequences, they are associated with higher literacy scores (for all three dimensions of climate literacy), suggesting that the intensity of the experience can act as a catalyst for deeper cognitive and emotional engagement. We also find that individuals employed in high-emission sectors tend to overestimate their climate knowledge; nonetheless, their personal experiences with extreme weather events are still associated with higher scores on the climate literacy measures. These findings support the hypothesis that intense climate-related experiences can serve as “teachable moments", enhancing receptiveness to climate information and fostering the development of more accurate and informed climate-related beliefs—even among groups that might otherwise exhibit resistance to such messages.
{"title":"Learning the hard way: Applying a climate literacy approach to extreme weather experience — Evidence from Poland","authors":"Łukasz Kurowski, Tomasz Wites","doi":"10.1016/j.wace.2026.100851","DOIUrl":"10.1016/j.wace.2026.100851","url":null,"abstract":"<div><div>Climate literacy is essential for empowering societies to respond effectively to the challenges of climate change. However, individuals often struggle to address climate issues because of their abstract nature and perceived psychological distance. This study investigates whether direct personal experiences of extreme weather events are associated with higher scores on the climate literacy measures among Polish citizens. We developed and validated, through an expert-based process, the “Big Three Climate Literacy Questions” - a concise instrument designed to capture key components of climate literacy across knowledge, skills and attitudes - and administered them in a survey of 1001 residents from regions in Poland historically affected by floods and storms. Regression analyses reveal that the mere occurrence of an extreme weather event does not significantly influence scores on the climate literacy measures. However, when such events result in severe financial or psychological consequences, they are associated with higher literacy scores (for all three dimensions of climate literacy), suggesting that the intensity of the experience can act as a catalyst for deeper cognitive and emotional engagement. We also find that individuals employed in high-emission sectors tend to overestimate their climate knowledge; nonetheless, their personal experiences with extreme weather events are still associated with higher scores on the climate literacy measures. These findings support the hypothesis that intense climate-related experiences can serve as “teachable moments\", enhancing receptiveness to climate information and fostering the development of more accurate and informed climate-related beliefs—even among groups that might otherwise exhibit resistance to such messages.</div></div>","PeriodicalId":48630,"journal":{"name":"Weather and Climate Extremes","volume":"51 ","pages":"Article 100851"},"PeriodicalIF":6.9,"publicationDate":"2026-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145926317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}