Jonas Fierke, Birgitta Putzenlechner, Alois Simon, Juan Haridis Gowda, Ernesto Juan Reiter, Helge Walentowski, Martin Kappas
{"title":"Modelling microclimatic variability in Andean forests of northern Patagonia.","authors":"Jonas Fierke, Birgitta Putzenlechner, Alois Simon, Juan Haridis Gowda, Ernesto Juan Reiter, Helge Walentowski, Martin Kappas","doi":"10.1007/s00484-025-02891-x","DOIUrl":"https://doi.org/10.1007/s00484-025-02891-x","url":null,"abstract":"<p><p>Information on microclimatic conditions beneath canopies is key to understanding small-scale ecological processes, especially concerning the response of biodiversity to climate change. In north-western Patagonia, where data on climate-driven species distribution are scarce, our study provides valuable insights by providing microclimatic models covering spatiotemporal dynamics at 30 × 30 m resolution. Applying in-situ data from 2022 to 2024, we employed a random forest-based regression to assess the impact of several biophysical predictor variables describing terrain and vegetation properties on four microclimatic response variables at three vertical levels within forests. We also interpolated this data spatiotemporally, using statistical downscaling of ERA5 data. Our analysis reveals that the influence of the predictor variables varies strongly by month and response variable. Moreover, significant variability was observed between the models and months regarding their explanatory power and error range. For instance, the model predicting maximum air temperature at a 2 m height achieved an R² of 0.88 and an RMSE of 1.5 °C, while the model for minimum air temperature resulted in an R² of 0.73 and an RMSE of 1.8 °C. Our model approach provides a benchmark for spatiotemporal projections in this data-scarce region, aligned with the climate normal from 1981 to 2010. Future refinement could benefit from data on snow cover, land use and land cover, soil, as well as structural information on vegetation over an extended period, to enhance the dynamical aspects of microclimatic modelling. We are confident that our present model will substantially enhance possibilities to analyse species distribution across vegetation types and terrain-related features within the area.</p>","PeriodicalId":588,"journal":{"name":"International Journal of Biometeorology","volume":" ","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143707979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mario Fontana, Matteo Vitali, Jole Del Prete, Salvatore Borzì, Angela Pozzoli, Katia Vitale, Andrea De Giorgi, Stefano Zanni, Serena Crucianelli, Carmela Protano
{"title":"Beneficial effects of thermal waters on respiratory diseases: a systematic review","authors":"Mario Fontana, Matteo Vitali, Jole Del Prete, Salvatore Borzì, Angela Pozzoli, Katia Vitale, Andrea De Giorgi, Stefano Zanni, Serena Crucianelli, Carmela Protano","doi":"10.1007/s00484-025-02865-z","DOIUrl":"10.1007/s00484-025-02865-z","url":null,"abstract":"<div><p>Respiratory diseases are extremely common conditions worldwide with a high social and economic impact. The aim of this systematic review was to summarize the scientific evidence on the efficacy of thermal inhalation treatments to manage the signs and symptoms of all type of upper and lower respiratory diseases. The review was conducted according to the PRISMA recommendations. The protocol was registered in the PROSPERO platform (ID: CRD42024510869). The bibliographic search was performed using PubMed, Scopus and Web of Science databases without time limits up to January 2nd 2025. All experimental and semi-experimental studies conducted on humans, published in Italian and English, aimed to evaluate the effects of thermal inhalation treatments in the treatment of respiratory diseases were considered eligible. The quality of the studies was assessed using the CLEAR NPT scale. Overall, 27 studies were included, related to chronic and chronic-recurrent upper and lower respiratory tract diseases. The results agree on beneficial effects of thermal waters use, with an improvement in the sensation of nasal obstruction, rhinorrhea, muco-ciliary transport time and lung function parameters. The therapeutic effects determined by thermal inhalation treatments is attributed to the composition and biochemical activity of the different waters, which lead, among other effects, to a regularization of the activity of the immune system. The results, although agreeing and encouraging, cannot be definitive due to the limitations of the studies included, especially their low quality and heterogeneity. Therefore, further clinical studies should be conducted using more appropriate methodologies, study designs and statistical analysis techniques. </p></div>","PeriodicalId":588,"journal":{"name":"International Journal of Biometeorology","volume":"69 5","pages":"915 - 946"},"PeriodicalIF":3.0,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00484-025-02865-z.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143707875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
T Basavaraja, A Tripathi, K K Hazra, Rahul Chandora, S Gurumurthy, J C Rana, A Pratap, M Singh, R C Kanishka, G P Dixit
{"title":"Evaluating common bean elite lines in two contrasting ecologies of north India: eco-phenological dynamics and environment relations to crop yields.","authors":"T Basavaraja, A Tripathi, K K Hazra, Rahul Chandora, S Gurumurthy, J C Rana, A Pratap, M Singh, R C Kanishka, G P Dixit","doi":"10.1007/s00484-025-02897-5","DOIUrl":"https://doi.org/10.1007/s00484-025-02897-5","url":null,"abstract":"<p><p>Common bean is traditionally cultivated in the hilly regions of India, but recent breeding efforts aim to introduce this crop into non-traditional plain areas. In this study, twenty-nine exotic common bean lines, along with three local checks, were evaluated using an augmented design in Shimla (Northern Hill Zone, NHZ) during rainy season (July-November) and in Kanpur (Northern Plain Zone, NPZ) during winter (November-March) across two consecutive years (2020-2022). The study objective was to evaluate site-specific genotypic responses to environmental factors, eco-phenological dynamics, genotype-by-environment interactions, and identify superior exotic breeding lines of common bean. Results indicated that crop yield in NPZ was 33-41% lower compared to NHZ. The vegetative and reproductive phases were extended by 7.8-8.7 days and 5.3-6.7 days, respectively, in NPZ compared to NHZ. Notably, minimum temperatures during flowering (TMIN<sub>F</sub>) and the reproductive period (TMIN<sub>R</sub>), along with relative humidity, showed significant positive associations with yield, highlighting the crop's sensitivity to low temperatures in NPZ. Multivariate analysis revealed that extended crop duration and lower TMIN<sub>F</sub> and TMIN<sub>R</sub> negatively affected yield. Linear mixed-model analysis confirmed that variation in crop-stage-specific temperatures and the lengths of vegetative and reproductive phases, driven by environmental factors, significantly influenced crop yield. The accessions EC931971, EC931452, and ARUN, which exhibited longer reproductive phases, higher seed weight, and more pods plant<sup>- 1</sup>, were identified as high-yielding and stable lines. The study suggests that breeding for low-temperature tolerance is crucial for improving yields in NPZ, and the identified exotic lines could be valuable genetic resources for crop improvement programs.</p>","PeriodicalId":588,"journal":{"name":"International Journal of Biometeorology","volume":" ","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143707877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multi-stakeholder perspectives on urban regeneration: a spatial gradient analysis of heat and pollution effects.","authors":"Jingqi Zhang, Xinyue Gu","doi":"10.1007/s00484-025-02894-8","DOIUrl":"https://doi.org/10.1007/s00484-025-02894-8","url":null,"abstract":"<p><p>The acceleration of urbanization has caused severe environmental problems for cities, making the implementation of sustainable urban regeneration projects an important part of urban construction. Previous studies have shown that different actions taken by various stakeholder groups at different stages of urban regeneration can affect the outcomes of urban regeneration. However, few studies have investigated the environmental impacts on the urban regeneration plots and their surroundings during the urban regeneration implementation stage under the leadership of different stakeholders. Therefore, this study selected 12 plots under three urban regeneration models-government-led, government-enterprise cooperation-led, and multi-stakeholder cooperation-led-and examined the median or mean values of land surface temperature, air temperature, carbon monoxide concentration, nitrogen dioxide concentration, and sulfur dioxide concentration for each season over four years, from pre-regeneration to the implementation stage. It analyzed the urban heat and pollution effects within the plots and in multiple ring buffer zones of 50 m, 150 m, and 350 m outside the plots. The results indicated that: (1) The land surface temperature within the plots was significantly influenced by urban regeneration, while the impact on air quality was not as noticeable; (2) During winter, the urban heat and pollution within the plots were least affected by the implementation of urban regeneration; (3) Urban regeneration models with government involvement as the leading party were more likely to mitigate the impact of urban regeneration project implementation on urban heat and pollution. These findings are of significant importance for furthering the sustainability of urban regeneration.</p>","PeriodicalId":588,"journal":{"name":"International Journal of Biometeorology","volume":" ","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143699460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ademar Novais Istchuk, Elizeu Sá Farias, Josemar Foresti, Paulo Antônio Santana Júnior, Renata Ramos Pereira, Tamylin Kaori Ishizuka, Paulo Roberto da Silva, Matheus Henrique Schwertner, Vanda Pietrowski
{"title":"Forewarning the seasonal dynamics of corn leafhopper and mollicutes through neural networks.","authors":"Ademar Novais Istchuk, Elizeu Sá Farias, Josemar Foresti, Paulo Antônio Santana Júnior, Renata Ramos Pereira, Tamylin Kaori Ishizuka, Paulo Roberto da Silva, Matheus Henrique Schwertner, Vanda Pietrowski","doi":"10.1007/s00484-025-02898-4","DOIUrl":"10.1007/s00484-025-02898-4","url":null,"abstract":"<p><p>The corn leafhopper (CL), Dalbulus maidis (DeLong & Wolcott) (Hemiptera: Cicadellidae), has become the most important corn pest in Brazil and other corn-producing countries. This highly efficient insect vector transmits corn stunting pathogens resulting in significant yield losses in corn fields. This study aimed to investigate the relationship between CL abundance and pathogen infection in adult CL with weather variables, day of the year (DOY), and corn season in four Brazilian corn-producing areas using artificial neural networks (ANN). We developed three ANN models, using monitoring data from 2019 to 2023, for year-round forewarning of CL populations and infection of corn stunt spiroplasma (CSS) and maize bushy stunt phytoplasma (MBSP) in CL adults. The best-fit models demonstrated strong correlations in the validation set for CL abundance (0.71), and substantial classification agreement for both CSS (0.81) and MBSP (0.81). The final inputs for the models included relative humidity, air temperature, wind speed, DOY, corn season, and CL abundance. The presence of corn plants and DOY are manageable factors for achieving CL and mollicute control. This can be made by eliminating volunteer plants, reducing planting windows, and avoiding late-plantings. Our results are suitable for further predictions and offer essential guidance to be incorporated into the IPM of D. maidis and to better understand CSS and MBSP infection on a large-scale. Lastly, ANN is a reliable machine-learning algorithm to predict vector population dynamics and the infection of phytopathogens in D. maidis.</p>","PeriodicalId":588,"journal":{"name":"International Journal of Biometeorology","volume":" ","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143673147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sandeep Bhatti, Peter Jeranyama, Casey D Kennedy, Anthony R Buda, Katherine Ghantous, David J Millar, Carolyn J DeMoranville
{"title":"Changes in cranberry phenology from 1958 to 2022: Implications for spring frost protection in Massachusetts, United States.","authors":"Sandeep Bhatti, Peter Jeranyama, Casey D Kennedy, Anthony R Buda, Katherine Ghantous, David J Millar, Carolyn J DeMoranville","doi":"10.1007/s00484-025-02892-w","DOIUrl":"https://doi.org/10.1007/s00484-025-02892-w","url":null,"abstract":"<p><p>Warmer temperatures associated with climate change have affected the phenology of most plants, but limited information exists for the American cranberry (Vaccinium macrocarpon Ait.), an important specialty crop. We examined long-term spatiotemporal trends in spring development of cranberry buds using field observations of cranberry bud stages over a 65-yr period, spanning from 1958-2022. A growing degree day (GDD) model was further used to interpret the observed trends in bud development over the study period. To assess spatial variability in cranberry bud development, the GDDs were computed using gridded weather data for four counties of Massachusetts, representing 85% of the state's cranberry acreage. A Theil-Sen linear regression model was implemented to determine trends in the occurrence of the bud stages. Field observations revealed significant temporal trends (p-value < 0.01) in the annual timing of white bud and cabbage head stages, occurring 18-20 days earlier in the spring than 65 years ago. This earlier bud development can increase the risk of frost damage, especially during late-spring freezes. GDDs accumulated at a faster rate towards the end of the study period due to rising air temperatures. Analysis of 65 years of gridded data revealed a significant trend of earlier development across the four counties. The rate of advancement in cabbage head stage ranged from -0.15 to -0.25 d yr <sup>-1</sup> across the study area. These findings highlight the need for updated frost forecasting models that account for the changing growth schedule of cranberry.</p>","PeriodicalId":588,"journal":{"name":"International Journal of Biometeorology","volume":" ","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143676752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zihan Yang, Yuchen Wei, Xiaoting Jiang, Conglu Li, Guozhang Lin, Yawen Wang, Ka Chun Chong
{"title":"Association of cold weather and influenza infection with stroke: a 22-year time-series analysis","authors":"Zihan Yang, Yuchen Wei, Xiaoting Jiang, Conglu Li, Guozhang Lin, Yawen Wang, Ka Chun Chong","doi":"10.1007/s00484-025-02870-2","DOIUrl":"10.1007/s00484-025-02870-2","url":null,"abstract":"<div><p>Despite the significant adverse health effects and economic burden of stroke inpatients, there has been a paucity of research specifically analyzing and quantifying the association between meteorological factors, air pollutants, influenza infection, and stroke admissions. This study assessed the impact of environmental factors and influenza activity on stroke admissions in Hong Kong from 1998 to 2019, utilizing population-based records. We employed the number of weekly stroke admissions as the primary outcome measure and matched the number with meteorological factors and air pollutant concentrations. Strain-specific influenza-like illness-positive (ILI+) rates were used as a proxy indicator of influenza activity. A quasi-Poisson generalized additive model in combination with a distributed-lag non-linear model (DLNM) was employed to elucidate the relationship of interest. Over the 22-year period, a total of 1,170,882 stroke-related admissions were recorded in Hong Kong. The cumulative adjusted relative risk (ARR) of stroke admission was significantly increased (cumulative ARR = 1.106, 95% CI, 1.069–1.143) at the 5th percentile of temperature (i.e., 15.08 °C) compared with the median reference level. Using zero as the reference value, the cumulative adjusted relative risks of stroke admission were 1.030 (95% CI, 1.018–1.042) at the 95th percentile of ILI + A/H1N1 rate, and 1.022 (95% CI, 1.007–1.038) at the 95th percentile of ILI + total rate. In conclusion, cold weather and influenza infection are risk factors to stroke admissions. Public health strategies for preventing stroke should be considered such as advocating influenza vaccination programmes during winter.</p></div>","PeriodicalId":588,"journal":{"name":"International Journal of Biometeorology","volume":"69 5","pages":"963 - 973"},"PeriodicalIF":3.0,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00484-025-02870-2.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143668535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hongqiao Qin, Jianghua Chen, Jiaqi Niu, Jingeng Huo, Xuelin Wei, Jie Yan, Guifeng Han
{"title":"Dietary habit helps improve people's adaptability to hot climates: a case study of hotpot in Chongqing, China.","authors":"Hongqiao Qin, Jianghua Chen, Jiaqi Niu, Jingeng Huo, Xuelin Wei, Jie Yan, Guifeng Han","doi":"10.1007/s00484-025-02893-9","DOIUrl":"https://doi.org/10.1007/s00484-025-02893-9","url":null,"abstract":"<p><p>Global warming has raised significant concerns about mitigation and adaptation strategies in recent years. This study investigated if consuming spicy food can help improve people's adaptability to hot environment. Onsite measurement and thermal questionnaires were conducted at Chongqing university in summer and winter aged 18 ∼ 30 years old. Participants were categorized into two groups, including frequently eating hotpot (Group-yes) and not (Group-no), and there were respectively 590 and 570 surveys. The results indicated that: (1) Eating hotpot could lower expectations of meteorological conditions. (2) It can decrease thermal sensitivity and expand neutral physiologically equivalent temperature (PET) range (14.89 ∼ 24.74 ℃ in Group-yes and 16.66 ∼ 23.98 ℃ in Group-no). (3) The acceptable PET range in Group-yes was 5.46 ℃ wider than Group-no with a higher preferred PET in Group-yes (24.04 ℃) compared to Group-no (22.63 ℃). (4) Respondents' thermal perception in Group-yes demonstrated a less susceptibility to meteorological variations compared to Group-no, and respondents in Group-no were more influenced by RH in summer. These findings suggest that consuming hotpot can improve thermal adaptation, thereby underscoring the significant influence of dietary habits on thermal adaptability.</p>","PeriodicalId":588,"journal":{"name":"International Journal of Biometeorology","volume":" ","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143661899","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zheyuan Wu, Yaqing Shang, Yang Cao, Dan He, Hengkang Zhao, Yakai Lei
{"title":"Analysis of the impact of multiple green space patterns and key meteorological factors on particulate matter pollution: a case study in the Zhengzhou metropolitan area","authors":"Zheyuan Wu, Yaqing Shang, Yang Cao, Dan He, Hengkang Zhao, Yakai Lei","doi":"10.1007/s00484-025-02863-1","DOIUrl":"10.1007/s00484-025-02863-1","url":null,"abstract":"<div><p>Atmospheric particulate matter (PM) is a primary pollutant affecting urban air quality, posing increasing threats to public health and ecological environments. While urban green spaces and meteorological conditions individually influence PM pollution, the mechanisms by which meteorological indicators mediate the relationship between green space patterns and PM concentrations remain unclear. We used daily PM concentration data in the Zhengzhou Metropolitan Area (ZMA) in 2021, combined with high-resolution satellite imagery and climate monitoring data. By employing Generalized Linear Models (GLMs) and Partial Least Squares Structural Equation Modeling (PLS-SEM), we investigated the effects of green spaces and meteorological conditions on PM, highlighting the significant mediating role of key meteorological indicators in the process by which green spaces mitigate PM pollution. Results indicated that PM<sub>2.5</sub> concentrations were more sensitive to green space patterns and meteorological conditions at 1–6 km scales compared to PM<sub>10</sub>. Significant scale-dependent differences were observed in the coupling between PM concentrations and green spaces. PLS-SEM revealed that key meteorological indicators, particularly wind speed and humidity, significantly mediated the impact of green spaces on PM pollution, with mediation effects peaking at the 4 km scale. The percentage of largest green space patches had the most pronounced mediated effect on PM<sub>2.5</sub> and PM<sub>10</sub> through climate factors. Conclusively, to maximize ecological benefits, it is essential to consider wind speed and humidity around green spaces. The findings emphasize the importance of optimizing green space patterns at multiple scales and incorporating local microclimate considerations in future PM pollution management within the ZMA.</p></div>","PeriodicalId":588,"journal":{"name":"International Journal of Biometeorology","volume":"69 5","pages":"947 - 962"},"PeriodicalIF":3.0,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143630149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Carolin Albrecht, Kathrin Graw, Victoria Kehl, Isabel Hostettler, Bernhard Meyer, Andreas Matzarakis, Maria Wostrack
{"title":"The impact of biotropic weather on the incidence and severity of aneurysmal subarachnoid hemorrhage: a single-center observational explorative study.","authors":"Carolin Albrecht, Kathrin Graw, Victoria Kehl, Isabel Hostettler, Bernhard Meyer, Andreas Matzarakis, Maria Wostrack","doi":"10.1007/s00484-025-02890-y","DOIUrl":"https://doi.org/10.1007/s00484-025-02890-y","url":null,"abstract":"<p><p>Controversy surrounds seasonal variations in aneurysmal subarachnoid hemorrhage (aSAH) incidence and course. Investigating weather effects associated with weather fronts may provide more insights. Meteorological parameters are grouped into classes describing biotropic weather conditions influencing human health. Known as bio-synop classes, they impact human health by influencing biological processes. Our study explores the relationship between these classes and aSAH occurrence and severity using data from our neurovascular center and the German national weather registry. Data from 605 aSAH patients treated between 2006 and 2021 was analyzed. The Kruskal-Wallis Test was used to assess the incidence and severity of aSAH, classified by Hunt&Hess (HH) grades across bio-synop classes. Additionally, we explored seasonal clustering of aSAH events. While no significant difference in ASAH incidence across specific bio-synop classes was observed (p = 0.165), class 4 \"Low-pressure with cold air advection\" was significantly associated with a higher incidence of poorer HH grades (p = 0.022). Further, we observed a decrease in aSAH cases in June in month-to-month comparisons (May vs. June p < 0.001). Although bio-synop classes may not directly affect aSAH incidence, they appear linked to aSAH severity. The reduction in June aSAH cases suggests a potential seasonal influence, indicating a complex interplay of environmental factors warranting further investigation.</p>","PeriodicalId":588,"journal":{"name":"International Journal of Biometeorology","volume":" ","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143630152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}