Zawai Luo, Kelvin T. F. Chan, Ziqing Chen, Yue Wu, Lifeng Xu, Weiling Zhang, Oscar Y. W. Cheung, Xiuzhi Chen, Naiming Yuan, Xuelin Zhang
{"title":"Statistical Seasonal Forecasting of Tropical Cyclone Landfalls on East China","authors":"Zawai Luo, Kelvin T. F. Chan, Ziqing Chen, Yue Wu, Lifeng Xu, Weiling Zhang, Oscar Y. W. Cheung, Xiuzhi Chen, Naiming Yuan, Xuelin Zhang","doi":"10.1002/asl2.70049","DOIUrl":"https://doi.org/10.1002/asl2.70049","url":null,"abstract":"<p>Forecasting tropical cyclone (TC) activities has long been a major focus. East China (EC) is a key region that is vulnerable to TC originating from the western North Pacific. In this study, we utilize two reanalysis datasets spanning from 1979 to 2009 and propose an effective statistical seasonal forecasting model, named the Sun Yat-sen University (SYSU) model, to predict the annual TC landfalls on EC based on preseason environmental predictors. Comprehensive predictor sampling and multiple linear regression analysis reveal that the 850-hPa geopotential height over West Asia and South Pacific in February, the 500-hPa geopotential height over West Asia in March, and the 300-hPa geopotential height over North America in April are the key predictors. The correlation coefficient over 1979–2009 between the model results and observations reaches 0.84. The model has been validated by the leave-one-out and threefold cross-validation methods, as well as the recent 15-year observations (2010–2024). The Pacific Decadal Oscillation, Pacific-North American pattern, and Arctic Oscillation are proposed to be the possible physical linkages or mechanisms underlying the model. The SYSU model exhibits a 98% hit rate over 1979–2024 (45 out of 46), highlighting the potential for operation.</p>","PeriodicalId":50734,"journal":{"name":"Atmospheric Science Letters","volume":"27 5","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/asl2.70049","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148049924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alexandre M. Ramos, Alexander Lemburg, David A. Lavers, Ricardo Tomé, Joaquim G. Pinto
{"title":"Assessment of the ECMWF Data Assimilation System Using Radiosonde Profiles During Atmospheric River Events Over Western Europe","authors":"Alexandre M. Ramos, Alexander Lemburg, David A. Lavers, Ricardo Tomé, Joaquim G. Pinto","doi":"10.1002/asl2.70034","DOIUrl":"https://doi.org/10.1002/asl2.70034","url":null,"abstract":"<p>Atmospheric Rivers (ARs) are one of the key elements in explaining the occurrence of extreme precipitation and floods in mid-latitudes. Despite the recognised importance of ARs, few studies have systematically evaluated how a weather forecast model captures AR conditions affecting western Europe. Using radiosonde observations from different sites across western Europe, this study evaluates the specific humidity, wind speed and moisture flux in the data assimilation system of the ECMWF Integrated Forecasting System (IFS) for the extended winter of 2020/2021 with a particular focus on landfalling ARs. Results indicate a systematic underestimation of specific humidity, wind and moisture flux in the IFS, particularly during more intense moisture flux events. The most significant negative biases of the IFS were observed in the boundary layer (1000–900 hPa) and lower free troposphere (900–700 hPa), coinciding with the core region of moisture flux. Wind speed was generally underestimated, with the largest errors occurring in the boundary layer at locations with complex topography. In addition, as expected, the assimilation of radiosonde profiles reduced short-range forecast errors. The results highlight the current limitations in forecasting AR intensity and location and show the importance of in situ observations to improve the forecast of high-impact weather events.</p>","PeriodicalId":50734,"journal":{"name":"Atmospheric Science Letters","volume":"27 5","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/asl2.70034","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148049170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Li-Huan Hsu, Shih-Hao Su, Yu-Hsin Hsu, Wen-Wei Tseng, Jung-Lien Chu, Lee-Yaw Lin
{"title":"Meteorological Factors Conducive to Extreme Remote Rainfall Events in Northeastern Taiwan","authors":"Li-Huan Hsu, Shih-Hao Su, Yu-Hsin Hsu, Wen-Wei Tseng, Jung-Lien Chu, Lee-Yaw Lin","doi":"10.1002/asl2.70035","DOIUrl":"https://doi.org/10.1002/asl2.70035","url":null,"abstract":"<p>This study investigates the climatological characteristics of remote rainfall in northeastern Taiwan during the cold half-year of 1980–2023. We identify critical factors driving heavy precipitation when tropical cyclones (TCs) are located south of Taiwan. Spatial analysis reveals distinct rainfall ‘hotspots’ that shift southward from Yilan depending on the TC's specific position. Statistical results indicate that heavy rainfall is primarily governed by extrinsic environmental thresholds, specifically moisture convergence and specific humidity. Validation using 2024–2025 cases confirm the robustness of these thresholds. We conclude that the interaction between background northeasterly flow and TC positioning acts as the dominant control. This relationship suggests that future climate-induced changes in TC tracks may displace established rainfall hotspots, potentially altering regional hydroclimatic risks.</p>","PeriodicalId":50734,"journal":{"name":"Atmospheric Science Letters","volume":"27 5","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/asl2.70035","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148048947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Attribution of UK Temperature Changes to Anthropogenic and Natural Factors","authors":"Louis Amos, Georgie Logan, Peter A. Stott","doi":"10.1002/asl2.70040","DOIUrl":"https://doi.org/10.1002/asl2.70040","url":null,"abstract":"<p>Understanding the extent to which human activities have influenced regional climate is a key scientific and policy challenge. The UK is one of the world's best observed regions climatically, with a long and reliable temperature record that makes it an important test case for regional detection and attribution. Here, for the first time, we apply optimal fingerprinting to UK mean 2-m air temperature changes using the Estimating Equations method, HadUK-Grid observations, and CMIP6 simulations. We assess the extent to which observed UK temperature changes can be explained by natural internal variability, anthropogenic forcings, and natural external forcings. We detect a significant anthropogenic influence on warming in recent decades and identify greenhouse gases as the main driver. We also detect a cooling contribution from other anthropogenic influences in the mid-twentieth century, likely dominated by sulphate aerosols. These results update earlier UK-focused work and demonstrate that human influences, both warming and cooling, are detectable even at the national scale.</p>","PeriodicalId":50734,"journal":{"name":"Atmospheric Science Letters","volume":"27 5","pages":""},"PeriodicalIF":2.0,"publicationDate":"2026-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/asl2.70040","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148048731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}