Climate Services最新文献

{"title":"Leveraging the benefits of a multi-index approach in quantifying and classifying climatic suitability for tourism","authors":"Ariel S. Prinsloo,&nbsp;Jennifer M. Fitchett","doi":"10.1016/j.cliser.2025.100608","DOIUrl":"10.1016/j.cliser.2025.100608","url":null,"abstract":"<div><div>Tourism climate indices are used to quantify, classify and compare the climatic suitability of tourism destinations. Most, if not all, are used in isolation. Where more than one index is used, it is often to demonstrate the relative efficacy of one index. This is peculiar within climate sciences, where for thermal comfort and climate modelling, multi-index approaches are the norm. We advocate for the extension of this approach to tourism climatology, as multi-index approaches provide a more comprehensive understanding of the climatic suitability of destinations for a wide range of tourist activities on offer. We make this argument through applying this approach to Réunion Island, a destination with diverse forms of tourism, topography and microclimates. Applying the Tourism Climate Index (TCI), Holiday Climate Index for Urban Tourism (HCI_Urban), Holiday Climate Index for Beach Tourism (HCI_Beach) and the Camping Climate Index (CCI) for 33 years of data across 11 stations, we demonstrate the varied outputs in terms of peak seasonal suitability across touristic attractions, the relative suitability across locations and change in climatic suitability over time. This approach is beneficial in describing the climatic suitability for tourism more accurately, identifying the nuances in suitability for different tourism types and is, therefore, a valuable approach to use in future studies.</div></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"40 ","pages":"Article 100608"},"PeriodicalIF":4.5,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145049024","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":"Development and application of a watershed-based environmental drought index reflecting water cycle characteristics","authors":"Jaeyeon Lim ,&nbsp;Sangung Lee ,&nbsp;Bu Geon Jo ,&nbsp;Joo-Heon Lee ,&nbsp;Young Do Kim","doi":"10.1016/j.cliser.2025.100602","DOIUrl":"10.1016/j.cliser.2025.100602","url":null,"abstract":"<div><div>Droughts driven by climate change increasingly affect aquatic ecosystems by deteriorating water quality. However, conventional drought indices primarily focus on water quantity, limiting their ability to capture environmental impacts. To address this gap, this study develops the Water Quality Environmental Drought Index (WQEDI), building on the Environmental Drought Index (EDI) originally proposed by Srivastava and Maity (2023) and later adapted by Jo et al. (2024) to include water quality indicators.</div><div>WQEDI introduces three key innovations, including the integration of water quality indicators alongside hydrological and meteorological variables; data driven variable selection and weighting using Random Forest (RF), with threshold derivation via Decision Tree (DT) models; and watershed- specific drought grading tailored to urban, rural, and forest watershed typologies, thereby enhancing spatial adaptability.</div><div>Validation results confirmed that WQEDI outperforms the EDI proposed by Jo et al. (2024) in terms of explanatory power, showing stronger correlations with biochemical oxygen demand (BOD) concentrations and more consistent exceedance patterns. Moreover, BOD exceedance rates systematically increased with higher WQEDI drought grades, demonstrating its effectiveness in capturing environmental drought severity.</div><div>Based on these findings, the study identified watershed-specific priority grades and intervention periods and proposed customized drought management strategies. WQEDI provides a refined and adaptable framework for diagnosing and managing drought induced water quality deterioration. It offers a scientifically grounded basis for environmental drought response and supports the development of evidence-based water management and climate adaptation policies.</div></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"40 ","pages":"Article 100602"},"PeriodicalIF":4.5,"publicationDate":"2025-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144908420","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":"Corporate competition in climate scenario analysis: Current challenges and solutions","authors":"Chia-Chi Lee ,&nbsp;Shih-Yu Lee ,&nbsp;Shih-Yun Kuo ,&nbsp;Huang-Hsiung Hsu ,&nbsp;Ya-Ting Kuo ,&nbsp;Mu-Xing Lin ,&nbsp;Chung-Pei Pien ,&nbsp;Kuei-Tien Chou ,&nbsp;Yi-Ting Tsai","doi":"10.1016/j.cliser.2025.100604","DOIUrl":"10.1016/j.cliser.2025.100604","url":null,"abstract":"<div><div>The Task Force on Climate-related Financial Disclosures (TCFD) and IFRS (International Financial Reporting Standards) S2 Climate-related Disclosures alignments have recently emerged as a main driving force for companies to disclose climate-related risks. In this context, climate scenario analysis has a direct impact on future quantitative climate risks, and therefore plays a pivotal role in the technical aspects of climate-related risk disclosures. To effectively comply with world trend in climate risk disclosures, competent authorities in Taiwan now encourage major companies to actively align with the TCFD and IFRS S2. However, many firms fell into the myth of the “climate scenario analysis competition”, leading major companies to compete to display various scenario analysis results in their reports. While learning from each other, they tend to lose sight of their own needs, avoiding crucial issues and omitting the truly important information. This study uses the industry chain of climate services as an analytical framework to conduct stakeholder interviews to explore the difficulties companies face in accurately disclosing their climate risks and in conducting scenario analysis, and also examine the role played by public climate service providers. The research results show that standard operating procedures (SOP) for scenario analysis in different industries, customized climate scenario production and analysis, and the cultivation of public and private climate service providers are all indispensable for overcoming challenges currently facing effective corporate climate scenario analysis.</div></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"40 ","pages":"Article 100604"},"PeriodicalIF":4.5,"publicationDate":"2025-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144889617","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":"Too hot to handle: Assessing practitioner climate service needs to advance heat resilience","authors":"K.M. Archie ,&nbsp;D. Hirschfeld ,&nbsp;S. Meerow ,&nbsp;J.C. Arnott ,&nbsp;L. Keith ,&nbsp;J.A. Vano ,&nbsp;E. Mateo","doi":"10.1016/j.cliser.2025.100606","DOIUrl":"10.1016/j.cliser.2025.100606","url":null,"abstract":"&lt;div&gt;&lt;div&gt;Extreme heat is deadly and it is disproportionately experienced by lower-income, minority, and marginalized community members. Heat practitioners are faced with the dual challenges of taking action to mitigate the level of heat experienced by local residents while preparing communities to manage unavoidable levels of elevated warming. In response to a lack of in-depth information about heat practitioner needs, this work aims to advance our understanding of how efforts to improve climate services may contribute to more effective extreme heat planning and decision-making in the United States. Through a two-round, mixed-methods approach that employed group interviews and a survey, we engaged with 144 heat practitioners from 40 states and Washington, DC. We found that the biggest barriers to extreme heat planning and implementation are a lack of perceived risk and a lack of internal staff capacity, and that practitioners would welcome additional heat related information and tools. The two practitioner “needs” that respondents considered to be most impactful are: regularly updated local-scale extreme heat data collection, and improved information about how extreme heat impacts different systems. We found significant differences in the perceived impactfulness of interventions based on whether a respondent was from a rural or urban area and also based on their level of educational attainment.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Practical implications&lt;/h3&gt;&lt;div&gt;Climate-induced extreme heat is deadly and disproportionately impacts lower-income, minority, and marginalized community members. People working for local and regional governments are responsible for making decisions and implementing actions to reduce the impacts of extreme heat in their communities. Those tasked with that work are referred to here as heat practitioners. To understand their needs we conducted a series of interviews and a survey that engaged over 140 heat practitioners from 40 states and Washington, DC. In this paper we share our findings that bring an in-depth understanding of climate service needs specific to those working to protect people from extreme heat.&lt;/div&gt;&lt;div&gt;An important finding from our work is that climate services cannot be just about more information, there is a need for building adaptive capacity and support to overcome complex barriers. Specifically we see a clear need to address the silos heat practitioners find themselves in. Additionally, by elevating the importance of heat within communities practitioners will have an easier time working to manage and mitigate this threat.&lt;/div&gt;&lt;div&gt;We find a strong call for better information that is tailored to local contexts. Heat practitioners said that the most impactful thing that would benefit their work is updated local-scale extreme heat data collection and on-the-ground monitoring. Another highly localized data need was information about the relationship between urban design and extreme heat. We also heard that information","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"40 ","pages":"Article 100606"},"PeriodicalIF":4.5,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144863411","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":"Crop choice advisory for the West African Sudan Savanna based on soil type and presowing rainfall forecasts: A machine learning residual model approach","authors":"Toshichika Iizumi ,&nbsp;Kohtaro Iseki ,&nbsp;Kenta Ikazaki ,&nbsp;Toru Sakai ,&nbsp;Shintaro Kobayashi ,&nbsp;Benoit Joseph Batieno","doi":"10.1016/j.cliser.2025.100605","DOIUrl":"10.1016/j.cliser.2025.100605","url":null,"abstract":"<div><div>Crop choice is a critical decision for rainfed smallholder farmers when allocating land between food and cash crops. To inform crop choice, process-based models need to simulate yield responses that are both eco-physiologically plausible and quantitatively accurate. Achieving this is difficult when data quality and scarcity hinder model calibration. Here, we present a modification of a process model simulation performed using a machine learning residual model trained to predict the error in the process model-simulated yields, relative to field experimental data, from growing conditions. Using the random forest (RF) algorithm, residual models were developed for cowpea, groundnut, soybean, maize, millet, and sorghum cultivated at three locations in Burkina Faso. The RF residual models improved the agreement between the process model simulations and the field data while preserving plausible crop-specific rainfall–yield relationships and their variation across soil types with differing water retention or drainage capacities (i.e., Lixisols and Plinthosols). Subsequently, process model simulations for 1994–2023 were adjusted using the RF residual models. The findings showed that the better performing crops varied with respect to soil type and seasonal rainfall. However, the utility of presowing rainfall forecasts for dynamic crop choice was limited by relatively high miss rates. The proposed crop choice advisory is expected to increase the income and nutrient status of smallholder farmers in dryland regions of West Africa under rainfall variability.</div></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"40 ","pages":"Article 100605"},"PeriodicalIF":4.5,"publicationDate":"2025-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144863330","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":"A grid-scale assessment framework for heat health risks: A case study of the Beijing-Tianjin-Hebei Region, China","authors":"Jiaqi Guo ,&nbsp;Linlin Lu ,&nbsp;Fukang Zha ,&nbsp;Ilias Agathangelidis ,&nbsp;Yu Yao ,&nbsp;Qingting Li ,&nbsp;Qian Shen ,&nbsp;Zilu Li","doi":"10.1016/j.cliser.2025.100603","DOIUrl":"10.1016/j.cliser.2025.100603","url":null,"abstract":"<div><div>The increasing frequency of extreme heat events has resulted in severe and widespread global impacts. Comprehensive heat risk assessment is crucial for providing targeted climate information and services to enhance cities’ adaptation and mitigation capacities. However, the spatial resolution of administrative-level heat health risk assessments is inadequate for identifying intra-urban risk variations. This study developed a risk assessment framework for heat-related health risks integrating hazard, exposure, susceptibility, and adaptability factors. Utilizing geospatial data such as downscaled land surface temperature, gridded socioeconomic data and point of interest data, the heat health risks were evaluated comprehensively at a fine-grained 500-meter grid resolution in the Beijing-Tianjin-Hebei region, China. The results indicated that high-risk profiles were concentrated in the primary urban areas of Beijing and Tianjin. Analysis of Local Climate Zone (LCZ) classifications revealed distinct heat risk patterns across urban morphologies. Compact high-rise built zones (LCZ 1) showed the highest mean heat hazard index (0.82), while natural-type LCZ B areas exhibited the lowest (0.48). LCZ 1 (0.68) and LCZ 2 (0.67) represented the highest heat risk, followed by LCZ 4 (0.60) and LCZ 5 (0.57). To mitigate heat risks, priority measures for reducing ambient temperature and population density should be implemented in LCZs 1 and 2 regions, while LCZs 3, 4, and 5 should prioritize enhancements to healthcare and transportation infrastructure. These fine-scale risk assessment approaches effectively capture local-scale risk hotspots, providing actionable insights for improving heat governance practices and building more thermally resilient cities.</div></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"40 ","pages":"Article 100603"},"PeriodicalIF":4.5,"publicationDate":"2025-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144860894","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":"Climate-proofing agriculture: economic feasibility of adaptation strategies for agro-pastoral farmers in Tanzania","authors":"Ponsian T. Sewando","doi":"10.1016/j.cliser.2025.100600","DOIUrl":"10.1016/j.cliser.2025.100600","url":null,"abstract":"<div><div>In Tanzania, agro-pastoral practices have evolved as a response to climate variability. However, the economic evaluation of adaptation strategies in these systems is limited. This case study explores the cost-effectiveness of various climate adaptation strategies adopted by agro-pastoralists in the semi-arid regions of northern and central Tanzania. Using primary data from 411 households, the study applied cost-benefit analysis (CBA) tools including net present value (NPV), benefit-cost ratio (BCR), and internal rate of return (IRR) to assess planned adaptation versus business-as-usual (BAU) scenarios. Results highlight that crop diversification, drought-tolerant crops, micro-catchment rainwater harvesting (MCRWH), drip irrigation, and livestock diversification are economically viable strategies under changing climatic conditions. This study provides practical insights into how agro-pastoralists can improve climate resilience through locally adapted strategies.</div></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"39 ","pages":"Article 100600"},"PeriodicalIF":4.5,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144770547","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":"Agricultural adaptation actions to address climate change in the coastal region of Bangladesh: A systematic review","authors":"Jesmin Akhter ,&nbsp;Muhammad Ramzan Ali ,&nbsp;Foezullah Talukder ,&nbsp;Sheikh Mohammad Sayem","doi":"10.1016/j.cliser.2025.100599","DOIUrl":"10.1016/j.cliser.2025.100599","url":null,"abstract":"<div><div>This paper presents the findings of a systematic literature review on coastal climatic stress, adaptation strategies, and the challenges of adapting to climate variability in coastal Bangladesh. The review aims to summarize the existing research on adaptation actions addressing climate change and to explore thematic studies related to these adaptation efforts with the purpose of providing directions for future research scope in coastal Bangladesh. The review adhered to the systematic methods outlined in the Preferred Items for Systematic Review Recommendations (PRISMA) protocol, facilitating a comprehensive synthesis, evaluation, and tracking of scientific literature on agricultural adaptation strategies in coastal Bangladesh. Peer-reviewed articles and grey literature from the Scopus and Google Scholar databases spanning 2015 to 2023 were considered. Through the rigorous application of the four main stages of a systematic review—identification, screening, eligibility, and inclusion—a total of 60 articles were selected. The adaptation actions highlighted in the review several significant challenges to agricultural adaptation in coastal regions.. This review finds the thematic studies on agricultural adaptation strategies in coastal Bangladesh, focusing on the strategies employed, the challenges, the outcomes, and the key drivers influencing their adoption. It also identifies gaps in the study of gender roles and relations that influence the effectiveness of adaptation strategies and the expected outcomes of these actions’ impact on life and livelihood to coastal farmers. Further studies are needed to explore these aspects to ensure equitable and significant adaptation outcomes.</div></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"39 ","pages":"Article 100599"},"PeriodicalIF":4.5,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144781673","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":"Corrigendum to “A content analysis of actionable guidelines for Climate-Smart agriculture implementation in South Africa- communication for behavioral changes” [Clim. Serv. 38 (2025) 100541]","authors":"Oladimeji Idowu Oladele,&nbsp;Mjabuliseni Simon C. Ngidi","doi":"10.1016/j.cliser.2025.100576","DOIUrl":"10.1016/j.cliser.2025.100576","url":null,"abstract":"","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"39 ","pages":"Article 100576"},"PeriodicalIF":4.5,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144831000","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":"How useful are seasonal forecasts for farmers facing drought? A user-based modelling approach","authors":"Clara Linés ,&nbsp;Micha Werner","doi":"10.1016/j.cliser.2025.100595","DOIUrl":"10.1016/j.cliser.2025.100595","url":null,"abstract":"<div><div>Seasonal forecasts of water availability have clear potential benefit for decisions in irrigated agriculture. This potential depends in part on how accurate the information provided is. The actual benefit, however, depends on how the information is used in the decisions, by whom, and the outcome of those decisions. In this paper we assess how useful seasonal forecasts are in supporting drought management decisions by farmers at the irrigation district level. We model the decisions irrigated farmers make on what and when to plant in the Ebro basin (Spain), and the interconnected decisions reservoir operators make on whether to apply curtailments to the water allocated to farmers. The modelled farmers are supplied from a reservoir with capacity for a single irrigation season and therefore their decisions are conditioned by the expected water availability through to the end of the season. Different farmer behaviours are considered as a function of their risk averseness and their technical capacity. The value of seasonal streamflow forecasts to inform these decisions is compared against that of current practice using extrapolated historical records, as well as against a reference forecast based on climatology. Results show that seasonal forecasts of water availability have skill, albeit limited. How salient information is to the decisions that farmers make, however, differs for each type of farmer as they take key decisions at different points in the season. As a consequence, seasonal forecast information is found to not serve the various farmer types considered equally. Our results illustrate how assessing the usefulness of information to servicing a decision can be approached from a combined technical and user-centric perspective.</div></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"39 ","pages":"Article 100595"},"PeriodicalIF":4.0,"publicationDate":"2025-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144704769","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}