Climate Services最新文献

{"title":"Contextual drivers of climate-smart agroforestry adoption in Bugesera and Rulindo agroecosystems of Rwanda","authors":"Donatien Ntawuruhunga ,&nbsp;Edwin Estomii Ngowi ,&nbsp;Halima Omari Mangi ,&nbsp;Raymond John Salanga ,&nbsp;Kenneth Lynch Leonard","doi":"10.1016/j.cliser.2025.100584","DOIUrl":"10.1016/j.cliser.2025.100584","url":null,"abstract":"<div><div>This study examined 381 farmers from two regions in Rwanda to investigate how contextual factors at the field level interact with climate-smart agroforestry (CSAF) practices. Farmers were categorized as low (LAD), medium (MAD), and high (HAD) adopters based on tree counts. Various contextual factors — notably location, demographics, assets, farm characteristics, and institutional variables — were analyzed using descriptive statistics, Pearson correlation, logit regression, and propensity score matching. Farmers in Bugesera had larger farms and higher tree counts than those in Rulindo, resulting in greater farm income in Bugesera. Positive correlations were found among altitude, slope, erosion class, gender, household size, poverty level, income source, marital status, education, farm area, cropping practices, farm-river distance, changes in CSAF cover, population dynamics, and LAD. CSAF farms outperformed monoculture farms regarding cassava, maize, and bean yields, particularly in Bugesera and Rulindo among larger landholdings. Logit regression analysis showed that combinations of multipurpose trees and crop planting significantly improved farm yields, with household size and farm size being critical factors for CSAF adoption. Propensity score matching confirmed the positive effects of CSAF practices on farm yield and income, contributing to enhanced rural well-being. These findings underscore the crucial role of CSAF in promoting well-being. The results encourage stakeholders to develop strategies for CSAF. While these findings are specific to local contexts, they may hold potential relevance at regional and global levels. This evidence supports the development of government-led policies implemented through extension services to systematize and stabilize CSAF practices across diverse farming systems.</div></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"38 ","pages":"Article 100584"},"PeriodicalIF":4.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144230358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Using regional warming levels to describe future climate change for services and adaptation: Application to the French reference trajectory for adaptation","authors":"Lola Corre ,&nbsp;Aurélien Ribes ,&nbsp;Sébastien Bernus ,&nbsp;Agathe Drouin ,&nbsp;Samuel Morin ,&nbsp;Jean-Michel Soubeyroux","doi":"10.1016/j.cliser.2025.100553","DOIUrl":"10.1016/j.cliser.2025.100553","url":null,"abstract":"&lt;div&gt;&lt;div&gt;To describe regional climate change, climate services typically rely on an ensemble of climate model simulations. The development and arrival of observational constraints at regional scales are questioning this approach, as some simulations may not align with warming trajectories estimated by these techniques. This study proposes a methodology for describing future regional changes that combines multiple sources of information: global and regional observational constraints applied to the CMIP6 ensemble, along with existing regional climate model simulations driven by CMIP5. This approach uses Regional Warming Levels (RWLs), mirroring the use of Global Warming Levels (GWLs) in the IPCC AR6. We apply it to mainland France, a region with discrepancies in warming projections between global models, regional models, and observational constraints. Results show that the standard GWL approach produces unrealistically low warming estimates due to overly low regional-to-global warming ratios in some models. Using RWLs allows separation of the annual mean warming estimation (based on observational constraints) from the detailed climate change characteristics (based on regional models). We explore ways to link RWLs and GWLs and assess associated uncertainties. This methodology has been selected to describe future climate change in mainland France, as part of the definition of a reference trajectory for adaptation set by the French government. It can be replicated in other regions and applied to existing or upcoming climate projections to express them in terms of regional warming levels at the national scale.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Practical implications&lt;/h3&gt;&lt;div&gt;The French government has recently chosen to adopt a reference trajectory for adaptation to climate change in France, known as the TRACC (Trajectoire de Réchauffement de référence pour l’Adaptation au Changement Climatique). This trajectory defines 3 levels to which the country needs to prepare for, corresponding to +1.5 °C global warming in 2030, +2 °C in 2050 and +3 °C in 2100 compared to 1850–1900. The aim is to establish a single framework for climate change impact studies including climate services, the definition and analysis of adaptation actions, standardizing practices nationwide and facilitating a coherent response to climate challenges. This article describes the methodological choices associated with this trajectory, based on a description of future changes at a fixed regional warming level (RWL) consistent with the chosen global trajectory. For mainland France, the 3 TRACC levels are expressed as an average warming over the country of 2 °C in 2030, 2.7 °C in 2050 and 4 °C in 2100 compared to 1850–1900. These are derived from observational constraints, combining models and observations. The subsequent description of local scale climate change is based on existing regional climate model simulations. The article finally provides a description of some of the changes associated with the","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"38 ","pages":"Article 100553"},"PeriodicalIF":4.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143621302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How to disseminate the research results on climate change impacts in cities to guide adaptation public policies ? Application to the Paris region (France)","authors":"Julie André ,&nbsp;Benjamin Le Roy ,&nbsp;Aude Lemonsu ,&nbsp;Morgane Colombert ,&nbsp;Valéry Masson","doi":"10.1016/j.cliser.2025.100545","DOIUrl":"10.1016/j.cliser.2025.100545","url":null,"abstract":"<div><div>The construction of efficient climate services relies on the interaction between decision-makers and scientists. Urban heat island is an issue that already preoccupies public authorities and is likely to be exacerbated by climate change, making assessment of its evolution crucial for effective urban policymaking and to size adaptation measures. This study analyzed interviews with 13 public stakeholders in the Paris area (France), highlighting their diverse needs for urban climate data. Their feedback on the high-resolution climate projections for the Paris region was assessed to provide recommendations to researchers for the effective dissemination of urban climate data. Public stakeholders in the Paris area need urban climate data for various purposes (awareness, diagnosis, decision support, and evaluation) and thus seek diverse types and formats of information. High-resolution climate projections may meet parts of these needs, but two key points require attention: (i) climate models appear to be difficult to apprehend by public stakeholders, thus an effort of pedagogy is necessary, (ii) climate projections often extend to 2100, but stakeholders primarily need short- to medium-term forecasts that align with public policy timelines. Indicators on extreme impacts and risks are a strong demand of public actors, especially in the health and energy sectors. Additionally, since recent urban climate resources remain largely unseen by public actors, we recommend enhancing its dissemination through local institutes recognized by policymakers, such as urban planning agencies. In summary, this case study provided valuable insights into the key mechanisms required for effectively disseminating climate research to promote climate change adaptation.</div></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"38 ","pages":"Article 100545"},"PeriodicalIF":4.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143180854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing the local context for implementing a climate based early warning system for dengue fever outbreaks in Ecuador","authors":"Gabrielle M.A. Cepella ,&nbsp;Mercy J. Borbor-Cordova ,&nbsp;Marianne van Elteren ,&nbsp;Desislava Petrova","doi":"10.1016/j.cliser.2025.100571","DOIUrl":"10.1016/j.cliser.2025.100571","url":null,"abstract":"<div><div>Dengue fever is hyper-endemic in Ecuador and has persistently challenged its public health system. Previously, El Niño Southern Oscillation (ENSO) and its impact on local temperature and precipitation in coastal Ecuador was linked to dengue outbreaks. A framework for early epidemics prediction based on long-lead ENSO and local climate forecasts was developed and tested for El Oro province. It could provide timely information to policy makers, but it is not being systematically utilized. In this study we assess barriers and pathways for a climate-driven dengue EWS implementation in Ecuador. Initially, 30 stakeholders from the climate and health sector were approached, and 11 semi-structured interviews were conducted and analyzed using the Consolidated Framework for Implementation Research to identify needs and priorities. Although all topics were covered during each interview, the structure and sequence of the questions varied according to the stakeholder background. In the exploratory phase specific codes were assigned to data fragments, and themes that reached the highest level of saturation were analyzed. Our results point to a limited compatibility between the current outbreak management and a climate-driven dengue EWS. To enhance compatibility, all participants indicated that EWS implementation should be led by the Ministry of Health or another established inter-institutional management structure invested with authority and knowledge about the needs and aims. This would ensure the participation of stakeholders with diverse backgrounds, and build trust in the EWS. Promoting data sharing, working on city or province level and improving local infrastructure to prevent flooding could also guarantee its effectiveness.</div></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"38 ","pages":"Article 100571"},"PeriodicalIF":4.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143864755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing disparities in access, use, and potential benefits of weather and climate information services among farmers in Guatemala’s Dry Corridor","authors":"Maya Moore ,&nbsp;Geneva List ,&nbsp;Max Mauerman ,&nbsp;Dante Salazar Ballesteros ,&nbsp;Walter Baethgen","doi":"10.1016/j.cliser.2025.100573","DOIUrl":"10.1016/j.cliser.2025.100573","url":null,"abstract":"&lt;div&gt;&lt;div&gt;Climate risk is a critical challenge for smallholder farmers in Guatemala, and weather and climate information services (WCIS) are a growing policy solution. Using a survey of 330 farming households in Guatemala’s Dry Corridor, this research examines farmers’ ability to access and utilize WCIS for agricultural decision-making, as well as the association between WCIS and food insecurity. Our observational study found that while reported access to one approach, Local Technical Agro-Climatic Committees (LTACs) and agro-climatic bulletins (ACBs), was lower than expected among a representative sample of communities, nearly half of respondents reported accessing weather and climate information more generally. In an observational comparison, those accessing information implemented significantly more climate-resilient agricultural practices and were significantly more food secure than those not receiving the information; however, accessing information was correlated with household wealth and education, and its effect on food insecurity was not statistically identifiable in a multiple regression test with controls. Our study also provides empirical evidence that a lack of information is not the primary barrier to the adoption of adaptation practices. While farmers expressed a desire to adapt certain farming practices in response to climate risk, they faced financial and other barriers to implementing these strategies. Thus, while WCIS have potential for informing agricultural decisions, this study underscores the challenges associated with effectively delivering information to farmers, as well as highlights obstacles to their use when farmers do receive them. These insights are crucial for refining WCIS design and delivery. Recommendations include investing in more farmer-centric communication channels and coupling information with resources to strengthen farmers’ adaptive capacity.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Practical implications&lt;/h3&gt;&lt;div&gt;Guatemala’s Dry Corridor is a region highly susceptible to drought and climate variability. For smallholder farmers who depend on rain-fed maize and bean cultivation, these climate risks intensify vulnerability and threaten livelihoods. Acute food insecurity is also a significant concern in Guatemala and the Dry Corridor. Weather and climate information services (WCIS) are offered as a policy solution in Guatemala, and globally, to aid in climate risk management and climate change adaptation. Timely and relevant climate information can inform adaptive agricultural practices, potentially helping to mitigate climate risks, reduce negative coping strategies, and safeguard household well-being.&lt;/div&gt;&lt;div&gt;This study explores the reach of WCIS and the socioeconomic factors associated with its use among a population of smallholder farmers in Guatemala’s Dry Corridor, using a contextual assessment of decision-making processes, adaptive practices, and local constraints. We investigate the differences between those who access","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"38 ","pages":"Article 100573"},"PeriodicalIF":4.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143906905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ordered probit results of determinants of climate change vulnerability across different agricultural enterprises in Kenya","authors":"Aurillia Manjella Ndiwa ,&nbsp;John Mburu ,&nbsp;Richard Mulwa ,&nbsp;Chepchumba Chumo","doi":"10.1016/j.cliser.2025.100578","DOIUrl":"10.1016/j.cliser.2025.100578","url":null,"abstract":"<div><div>Climate change is significantly impacting small-scale farmers in Kenya, particularly those engaged in key agricultural enterprises; crop cultivation, livestock farming, and fish production. To design interventions and develop policies to address the challenges posed by climate change, it is important to gather evidence of the extent of household vulnerability and the related factors. This study assessed household vulnerability to climate change and identify contributing factors to guide effective interventions and policies. Using the Livelihood Vulnerability Index and ordered Probit regression model, data from 723 small-scale farmers were analyzed. The findings show that households relying solely on crop farming are more vulnerable to the effects of climate change than those combining two or more types of agricultural activities. Households that engaged in multiple farming enterprises such as mixing crops with livestock or fish farming were better prepared to cope with climate-related challenges. Additionally, households headed by younger or more educated individuals, with access to agricultural training and extension services, accessing credit, having membership in farming groups, and located closer to markets were generally less vulnerable. Based on these findings, the study recommends i) implementation of interventions that promote multi-enterprise farming and synergies to enable farmers to diversify risks, (ii) introducing affordable credit options for farmer households, facilitated through policy and other initiatives such as cooperatives, as means to reduce household vulnerability to climate change, and (iii) strengthening government meteorological and extension services to ensure timely and efficient dissemination of climate change-related information to farmers, facilitating the adoption of adaptation measures.</div></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"38 ","pages":"Article 100578"},"PeriodicalIF":4.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144134048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reflections on the large-scale application of a community resilience measurement framework across the globe","authors":"Adriana Keating ,&nbsp;Stefan Hochrainer-Stigler ,&nbsp;Reinhard Mechler ,&nbsp;Finn Laurien ,&nbsp;Naomi Rubenstein ,&nbsp;Teresa Deubelli ,&nbsp;Stefan Velev ,&nbsp;Michael Szoenyi ,&nbsp;David Nash","doi":"10.1016/j.cliser.2025.100562","DOIUrl":"10.1016/j.cliser.2025.100562","url":null,"abstract":"<div><div>This paper reflects on learnings and analysis from an extensively globally applied, standardized community disaster resilience measurement framework that utilises bottom-up (locally collected) data. These lessons, from over a decade of on-the-ground work and analysis, are based on empirical evidence and have salience for scholars, policy-makers and practitioners aiming to strengthen community disaster resilience and apply bottom-up community disaster resilience measurement approaches. The Flood Resilience Measurement for Communities approach was co-designed and implemented by the Zurich Flood Resilience Alliance: a transdisciplinary science-policy-practice collaboration including scientists, practitioners and private business. It has been applied globally in approximately 400 communities worldwide, demonstrating the real-world impact of scalable community disaster resilience measurement initiatives. Findings provide evidence for the impacts and good practices of applying bottom-up community disaster resilience measurement approaches. Quantitative analysis on this unique dataset provides new entry points for research on typologies and dynamics of resilience, based on empirical evidence on human, social, physical, natural and financial dimensions. Based on our analysis, we find that the use of bottom-up, multidimensional, standardized community disaster resilience measurement approaches is a worthwhile endeavour to support community disaster resilience strengthening.</div></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"38 ","pages":"Article 100562"},"PeriodicalIF":4.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143820346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Farmers’ climate change perception, impacts and adaptation strategies in response to drought in the Northwest area of Bangladesh","authors":"J.M. Adeeb Salman Chowdhury ,&nbsp;Md. Abdul Khalek ,&nbsp;Md. Kamruzzaman","doi":"10.1016/j.cliser.2025.100540","DOIUrl":"10.1016/j.cliser.2025.100540","url":null,"abstract":"&lt;div&gt;&lt;div&gt;This study seeks to explore the farmers’ climate change perceptions, impacts, and underlying factors that influenced the choice of adaptation strategies in the drought-prone northwest region of Bangladesh. Primary data was collected from 375 sample households from four drought-prone districts (i.e., Rajshahi, Chapainawabganj, Naogaon, and Dinajpur). The factors influencing the farmers’ adaptation practices were determined using a multinomial logistic model (MNL). During survey, farmers’ perceptions about climate change were identical to the meteorological trends of the last 60 years (1960–2022) except for Dinajpur station. In the study period drought were mainly affects increased cost of production, declining ground water levels, crop failures and scarcity of soil water, lower income, food scarcity etc. The MNL results showed that age, education,&lt;!--&gt; &lt;!--&gt;income, family size, farming experience, access to climate, farmer-to-farmer extension, social mobility, and loan subsidies directly influenced adaptation decisions. The most significant adaptation strategies adopted by the farmers were irrigation facilities, agronomic management, drought-tolerant rice varieties, adopting new technologies, and alternative enterprises of land use change. To protect farmers from natural disasters, especially drought, sustainable water management plan, credit support from government, less water consuming crops, new crop varieties and re-excavation of traditional ponds must be implemented in the study area.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Practical Implications&lt;/h3&gt;&lt;div&gt;The goal of this research is to provide a comprehensive analysis of adaptation to climate change, especially drought, and its implications in the Northwest region of Bangladesh. The country experiences various types of natural disasters, which means that the government and citizens have a long history of developing a significant track record of preparedness, adaptation, and recovery in response to such occurrences. It is well known that the prospect and occurrence of such catastrophes is a significant impediment to progress and the improvement of human welfare.&lt;/div&gt;&lt;div&gt;The frequency and the severity of extreme weather events due to climate change in South East Asia including Bangladesh is anticipated to intensify in the forthcoming years. In recent years, decreasing rainfall and increasing temperature have serious impact on agricultural sector specially the northwest area of Bangladesh, with rural farmers heavily affected since they depend largely on rainfall for their livelihood. According to national adaptation plan of Bangladesh (NAP), the whole area of the country is susceptible to the detrimental effects of climate change. However, the northwest region is particularly vulnerable to drought because of geoclimatic and man-made factors. Drought in this area are not only experienced through high rainfall variability accompanied with high temperature, but also shortage of groundwater, lack of canal ","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"38 ","pages":"Article 100540"},"PeriodicalIF":4.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143180546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Data mining application in unraveling the large-scale teleconnection and flood-inducing extreme precipitation events association in Jeddah City","authors":"Hadir Abdelmoneim ,&nbsp;Sameh Ahmed Kantoush ,&nbsp;Vahid Nourani ,&nbsp;Mohamed Saber ,&nbsp;Fahad Alamoudi","doi":"10.1016/j.cliser.2025.100586","DOIUrl":"10.1016/j.cliser.2025.100586","url":null,"abstract":"<div><div>The city of Jeddah recently experienced severe flooding, significantly impacting the community. We employed data mining techniques such as classification and association rules to investigate the complex relationships between large-scale atmospheric teleconnections and extreme precipitation events in Jeddah. Our study focused on classifying and analyzing the surrounding sea surface temperatures (SSTs) of the Mediterranean, Red, Arabian, and Gulf seas, along with the Southern Oscillation Index (SOI), Oceanic Niño Index (ONI), and monthly precipitation data for Jeddah. This analysis aims to identify the most significant factors and extract important nonlinear features from long-term measured data from 1970 to 2024. We applied our approach to varying lag times and evaluated the accuracy of the results based on confidence values. The findings revealed hidden associations between detrended SSTs and major extreme precipitation events, including floods in November 2009, December 2010, and January 2011. An extracted rule revealed that the 2017 flood event was associated with the La Niña phenomenon, low detrending of SSTs in the Red and Arabian Seas, and very low detrending of Gulf SSTs concurrently. This approach could serve as a valuable tool for decision-makers, providing knowledge-driven insights to help mitigate the risk of flooding.</div></div><div><h3>Practical implications</h3><div>Flood disasters have become increasingly frequent and destructive due to the impacts of climate change, particularly in semiarid and arid regions such as the Kingdom of Saudi Arabia. The consequences of these events are significant, posing risks to human lives and leading to substantial economic losses. However, predicting floods in the region remains challenging, as precipitation is the primary driver of these disasters. Large-scale ocean-atmospheric teleconnections can influence hydroclimatic events across vast distances globally. Understanding the complex associations between these teleconnections and extreme precipitation is critical for the region. This study employed hybrid data mining techniques to explore the nonlinear relationships between extreme precipitation events and large-scale ocean-atmospheric signals, using Jeddah city as a case study. The results revealed several rules that shed light on the hidden nonlinear characteristics of extreme precipitation events and their connection to large-scale teleconnections.</div><div>Therefore, the practical implications of this study can be summarized as follows:<ul><li><span>-</span><span><div>This approach can be a strong tool for decision-makers, allowing them to make informed, proactive decisions to mitigate extreme precipitation events.</div></span></li><li><span>-</span><span><div>Adaptation strategies to lessen the impacts of extreme hydroclimatic events in the region can be developed based on this research.</div></span></li></ul></div></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"38 ","pages":"Article 100586"},"PeriodicalIF":4.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144242296","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Himawari-8 satellite detection of morning terrain fog in a subtropical region","authors":"Huiyun Ma ,&nbsp;Changjuan Chen ,&nbsp;Zhicong Yi ,&nbsp;Huihui Feng ,&nbsp;Xiaojing Wu","doi":"10.1016/j.cliser.2025.100551","DOIUrl":"10.1016/j.cliser.2025.100551","url":null,"abstract":"<div><div>This study explores the construction of a subtropical morning terrain fog detection algorithm for Himawari-8 data. Specifically, the clear sky surface suppression index is constructed to preliminarily remove the clear sky surface by combining Farneback optical flow method. The residual clear sky surface is further removed based on time series brightness temperature difference (BTD) between mid-infrared and thermal infrared. After that, the low-cloud elimination indicator is proposed to remove low clouds and mid-high clouds by coupling the brightness temperatures (BTs) at 10.4 μm with 12.3 μm, 13.3 μm and 8.6 μm with 9.6 μm. Finally, the fast-moving low clouds and residual mid-high clouds are removed by using the ratio of adjacent images at the 9.6 μm BT and the BT at 11.2 μm. The algorithm validation results show that the probability of detection, the false alarm rate and the critical success index are 0.801, 0.099 and 0.747, which show the acceptable performance. Meanwhile, the algorithm effectively avoids the influence of solar zenith angle. The research is capable of attaining near-real-time fog detection and offers pivotal technical support across diverse domains, including transportation planning, environmental management, human health, and agricultural production.</div></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"38 ","pages":"Article 100551"},"PeriodicalIF":4.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143422250","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}