Climate Services最新文献

{"title":"Adaptation strategies to waterlogging among coastal farmers in Bangladesh: Practices, determinants, and implications for resilient agriculture","authors":"Reshma Akter,&nbsp;Mohummed Shofi Ullah Mazumder","doi":"10.1016/j.cliser.2025.100598","DOIUrl":"10.1016/j.cliser.2025.100598","url":null,"abstract":"<div><div>Agriculture in Bangladesh’s coastal region is persistently affected by waterlogging, yet limited knowledge exists about the specific adaptation strategies farmers employ to mitigate its effects. This study aims to identify waterlogging-specific adaptation strategies and the factors influencing their adoption among coastal farmers. A cross-sectional survey of 412 farmers in Zianagar and Morrelganj sub-districts in Pirojpur district was conducted, employing descriptive statistics, multivariate logistic regression, and structural equation modeling (SEM) for data analysis. Common strategies included early planting (74.8 %), elevated trellis platform (69.9 %), duck rearing (60.9 %), short-duration water-tolerant crops (57.8 %), and raised bed farming (55.8 %). Around 16.3 % of farmers adopted four strategies, while 16 % adopted five. SEM results show training significantly promotes early planting (β = 0.02), floating agriculture (β = 0.07), salt-tolerant crops (β = 0.04), raised bed farming (β = 0.03), short-duration water-tolerant crops (β = 0.02), high bed–low ditch system (β = 0.02), crop zoning (β = 0.05), and community group participation (β = 0.02). Farming experience positively influences the adoption of short-duration water-tolerant crops (β = 0.01). Larger farm size is positively associated with elevated trellis platform (β = 0.11), high bed–low ditch system (β = 0.14), embankments (β = 0.1), and fish farming (β = 0.12), while negatively associated with duck rearing (β = -0.31). Agricultural extension contact enhances community group participation (β = 0.02). The study highlights that training, income, farm size, farming experience, and agricultural extension contact are key drivers of diverse waterlogging adaptation strategies among coastal farmers. These findings provide actionable insights for designing targeted agricultural training, resource allocation, and policy interventions to strengthen climate resilience in coastal farming communities.</div></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"39 ","pages":"Article 100598"},"PeriodicalIF":4.0,"publicationDate":"2025-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144662491","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":"Exploring climate change adaptation pathways for the agricultural sector in Arba Minch Zuria and Bonke districts: Based on CCAFS climate analogue tool","authors":"Israel Gebresilasie Kimo ,&nbsp;Tewodros Addisu Yate ,&nbsp;Bisrat Elias Cholo ,&nbsp;Thomas Torora Minda ,&nbsp;Esatu Bekele Bayde","doi":"10.1016/j.cliser.2025.100597","DOIUrl":"10.1016/j.cliser.2025.100597","url":null,"abstract":"<div><div>Ethiopia relies heavily on rain-fed agriculture, making its agricultural sector highly vulnerable to climate variability and change. Adaptation strategies informed by projections of future climate conditions can help mitigate these impacts effectively. This study demonstrates how a science-based approach, specifically the climate analogues methodology, can be used to envision site-specific future agricultural conditions and identify potential adaptation strategies. While such approaches have been increasingly applied elsewhere, their use in Ethiopia remains limited. Therefore, this study applies the analogues tool developed by the Climate Change, Agriculture and Food Security (CCAFS) program to identify a site whose current climate is analogues to the future climate of the study areas—Arba Minch Zuria and Bonke Districts, aiming to highlight potential adaptation pathways. The result shows that Key-Afer and Boreda in Ethiopia, as well as<!--> <!-->Migori and Narok counties in Kenya, are analogue sites to Arba Minch Zuria. Furthermore, Dita Zada and Chencha in Ethiopia are analogue sites to Bonke. Farmers in Key-Afer analogue site engage in various climate response strategies, including planting different crop varieties (90.7 %), changing planting dates (51.8 %), and soil and water conservation measures (46.3 %). Moreover, farmers in Migori County, Kenya, analogue site apply mixed farming (96.5 %), non-intensive dairying (95.1 %), and establish their own feed (92.4 %). Understanding current climatic conditions and agricultural practices in these analogue areas can inform adaptation planning, as they provide a glimpse into the future conditions of the study area. The findings of this research offer valuable insights for policymakers and the scientific community aiming to design effective climate change adaptation strategies.</div></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"39 ","pages":"Article 100597"},"PeriodicalIF":4.0,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144655743","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":"Balancing accuracy versus precision: Enhancing the usability of sub-seasonal forecasts","authors":"Etienne Dunn-Sigouin ,&nbsp;Erik W. Kolstad ,&nbsp;C. Ole Wulff ,&nbsp;Douglas J. Parker ,&nbsp;Richard J. Keane","doi":"10.1016/j.cliser.2025.100594","DOIUrl":"10.1016/j.cliser.2025.100594","url":null,"abstract":"<div><div>Forecasts are essential for climate adaptation and preparedness, such as in early warning systems and impact models. A key limitation to their practical use is often their coarse spatial grid spacing. However, another less frequently discussed but crucial limitation is that forecasts are often more precise than they are accurate when their grid spacing is finer than the scales they can accurately predict. Here, we adapt the fractions skill score, a metric conventionally used to quantify spatial forecast accuracy by the meteorological community, to help users navigate the trade-off between forecast accuracy versus precision. We demonstrate how this trade-off can be visualized for daily European precipitation, focusing on deterministic predictions of anomalies and probabilistic predictions of extremes, derived from three years of sub-seasonal forecasts from the European Centre for Medium-Range Weather Forecasts (ECMWF). Our results show that decreasing precision through spatial aggregation increases forecast accuracy, extends predictable lead times, and enhances the maximum possible accuracy relative to the grid scale, while increased precision diminishes these benefits. Notably, spatial aggregation benefits daily-accumulated forecasts more than weekly-accumulated ones, per unit lead-time. We demonstrate the practical value of our approach in three examples: communicating early warnings, managing hydropower capacity, and commercial aviation planning—each characterized by distinct user constraints on accuracy, spatial scale, or lead-time. The results suggest a different approach for using forecasts; post-processing forecasts to focus on the most accurate scales rather than the default grid scale, thus offering users more actionable information.</div></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"39 ","pages":"Article 100594"},"PeriodicalIF":4.0,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144631717","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 weather-forecast driven early warning system for wheat blast disease: User-centered design, validation, and scaling in Bangladesh and Brazil","authors":"Timothy J. Krupnik ,&nbsp;José Mauricio Cunha Fernandes ,&nbsp;Felipe Vargas ,&nbsp;Emerson Medeiros Del Ponte ,&nbsp;Khaled Hossain ,&nbsp;Mustafa Kamal ,&nbsp;Mutasim Billah ,&nbsp;Md. Harun-Or-Rashid ,&nbsp;Sk. Ghulam Hussain ,&nbsp;Pawan Kumar Singh ,&nbsp;Krishna Kanta Roy ,&nbsp;Carlos Augusto Pizolotto ,&nbsp;Md. Shah Kamal Khan ,&nbsp;Willingthon Pavan ,&nbsp;Golam Faruq","doi":"10.1016/j.cliser.2025.100589","DOIUrl":"10.1016/j.cliser.2025.100589","url":null,"abstract":"<div><div>We describe the user-centered design (UCD) of a numerical weather-forecast-driven early warning system (EWS) as a climate service for managing wheat blast, a fungal disease capable of causing complete crop yield losses that is strongly dependent on weather conditions. Our mixed-methods process was guided by stakeholder input on the design, testing, and refinement of the EWS from agricultural extension organizations, meteorological departments, and farmers’ groups in Bangladesh and Brazil, where concerns about blast disease risks are high. The UCD process led to a wheat blast disease prediction model, server systems, and user-facing enhancements, including an open-source dashboard (<span><span>https://beattheblastews.net/</span><svg><path></path></svg></span>) that displays historical, real-time, and forecasted weather data, along with geographically explicit disease predictions, to support informed decision-making on wheat blast management. We describe the back- and front-end design of the dashboard, which supports disease risk forecasting, hindcasting, and the dissemination of early warning advisories co-designed with user organizations. We validated the EWS through comparisons with field observations in both countries. Model results generally agreed with disease incidence records, and model hindcasting confirmed alignment with disease outbreak patterns in Bangladesh and Brazil. Collaboration between agricultural research, meteorological and extension organizations in developing and supplying weather forecasts, disease management advisories, and early warning systems—along with presenting hindcast validation results to stakeholders—led to the formal endorsement of the EWS in both countries. This process also enabled the registration and training of over 14,500 extension officers, lead farmers, and farmers' cooperative members who now receive advisories via email, SMS, agro-meteorological bulletins, smartphone applications, WhatsApp and social media messages. These tools support them in interpreting and sharing wheat blast early warnings with farmers to improve disease preparadness and management actions in both countries.</div></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"39 ","pages":"Article 100589"},"PeriodicalIF":4.0,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144589178","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":"Evaluating the impact of crop waterlogging and flood disasters using multi-source data: a case study of the Sanjiang Plain","authors":"Peng Wei ,&nbsp;Huichun Ye ,&nbsp;Chaojia Nie ,&nbsp;Minghao Qin ,&nbsp;Yue Zhang ,&nbsp;Hongye Wang ,&nbsp;Shanyu Huang ,&nbsp;Ronghao Liu","doi":"10.1016/j.cliser.2025.100596","DOIUrl":"10.1016/j.cliser.2025.100596","url":null,"abstract":"<div><div>Waterlogging and flood disasters, often induced by persistent heavy precipitation, present additional hurdles to China’s agricultural resilience.. Assessing the impact of waterlogging disasters on crops is an essential basis for guiding agricultural disaster prevention and mitigation, and is of great importance for stabilizing agricultural production and ensuring food security. Taking Sanjiang Plain as the research area, this paper selected five indicators including cumulative precipitation, topography, river network, crop type, and crop vulnerability from three aspects: the risk of disaster-causing factors, the sensitivity of the disaster-bearing environment, and the vulnerability of the carrier. A waterlogging impact evaluation index system was constructed, and the weighted comprehensive evaluation method was used to evaluate the impact of crop waterlogging disasters from 2020 to 2022. The evaluation results were then verified using crop yield data. The results show that the absolute correlation coefficients (|r|) between the mean values of the composite index of waterlogging and flood influence and yields per unit area for rice, maize, and soybean were 0.69, 0.74, and 0.71, respectively. These findings highlight the accuracy of the assessment index system for crop waterlogging and flood impacts. Over time, there were noticeable fluctuations in the contribution of disaster-causing factors and the disaster-breeding environment that breed them. Spatially, the contributions of disaster-causing factors and the disaster-breeding environment were unevenly distributed, whereas the impact on the carrier remained concentrated. Consistent with natural patterns, the results of this study provide essential technical support for agricultural disaster prevention and mitigation, aiding the sustainable development of agriculture in the Sanjiang Plain.</div></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"39 ","pages":"Article 100596"},"PeriodicalIF":4.0,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144589177","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":"Tackling misunderstandings: A farmer-led approach to improve the usability of multi-decadal climate services","authors":"Stephen Snow ,&nbsp;Aysha Fleming ,&nbsp;Yuwan Malakar ,&nbsp;Emma Jakku ,&nbsp;Simon Fielke ,&nbsp;Rebecca Darbyshire ,&nbsp;Graham Bonnett","doi":"10.1016/j.cliser.2025.100593","DOIUrl":"10.1016/j.cliser.2025.100593","url":null,"abstract":"<div><div>Future climate projections are incorporated into a growing number of interactive online platforms, changing the way users interact with climate information. Motivated by user-centred research, this paper bridges the micro-level considerations of interface design, usability, comprehension and interpretation with more macro-level interaction design concerns, including adoption. We examine users’ understanding and navigation of short-term <em>weather</em> websites relative to longer-term <em>climate</em> projections. Focusing on farmers’ first impressions of a multi-decadal climate service, called My Climate View, we detail how they used and interpreted the interface and highlight where misunderstandings occurred. Our findings show how: (a) Users’ experience of climate projections are shaped by past experiences, including local knowledge and weather knowledge. (b) Misunderstandings of data, although uncommon, can severely undermine perceived usefulness and trust and can occur despite users reporting satisfactory interface usability. These findings underscore how usability and comprehension research can extend broader social science work on technology acceptance, behaviour and social connections. We provide suggestions for the design of online multi-decadal climate services that seek to maximise usefulness and usability and minimise misunderstandings of the information they provide.</div></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"39 ","pages":"Article 100593"},"PeriodicalIF":4.0,"publicationDate":"2025-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144556682","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":"Assessment of drought conditions under climate change scenarios in Central Europe (Poland) using the standardized precipitation index (SPI)","authors":"Babak Ghazi ,&nbsp;Hossein Salehi ,&nbsp;Rajmund Przybylak ,&nbsp;Aleksandra Pospieszyńska","doi":"10.1016/j.cliser.2025.100591","DOIUrl":"10.1016/j.cliser.2025.100591","url":null,"abstract":"<div><div>Human-induced climate change led to a rise in the occurrence and severity of extreme events, including droughts, on a global scale. The assessment of drought conditions is important in understanding and mitigating drought risk in the future. This study used 26 General Circulation Models (GCMs) of high-resolution NASA Earth Exchange Global Daily Downscaled Projections (NEX-GDDP) Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets and the standardized precipitation index (SPI) to assess the future of droughts in Central Europe (Poland) under four Shared Socioeconomic Pathways (SSPs) scenarios (i.e., SSP1–2.6, SSP2–4.5, SSP3–7.0, and SSP5–8.5). For this purpose, precipitation in the near future (NF) (2031–2060) and far future (FF) (2071–2100) periods were projected, and then an assessment of droughts at time scales of SPI-01, SPI-06 and SPI-012 was carried out. The projection of spatial variability of precipitation in Poland revealed that it will increase slightly (10–30%) under SSP1–2.6 and SSP2–4.5 scenarios, while in the FF, it is projected to increase by 20–50% under SSP3–7.0 and SSP5–8.5 scenarios in the north/central and south of Poland, respectively. Assessment of the future of droughts demonstrated that in the NF, the frequency of droughts will decrease by approximately 20–60% in all SPI timescales (SPI-01, SPI-06, SPI-12) under all SSP scenarios. In the FF, drought frequency will increase significantly, particularly under SSP3–7.0 and SSP5–8.5 scenarios, with 50–100% increases for SPI-06 (agricultural drought) and SPI-12 (hydrological drought).</div></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"39 ","pages":"Article 100591"},"PeriodicalIF":4.0,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144556681","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":"Awareness, access and adoption of climate information services for climate change adaptation in Ethiopia","authors":"Yohannes Yona ,&nbsp;Getachew Sime ,&nbsp;Tafesse Matewos","doi":"10.1016/j.cliser.2025.100590","DOIUrl":"10.1016/j.cliser.2025.100590","url":null,"abstract":"<div><div>Climate change-induced impacts have affected smallholder farmers and their livelihoods in developing countries. The situation in Ethiopia is especially severe due to the prevalence of rain-fed agriculture and the limited availability of climate information services. Smallholder farmers were unable to apply climate adaptation methods due to limited access to and use of climatic information. This study was carried out in Ethiopia’s Sidama region to analyze the current state and factors impacting access to and use of climate information services as decision-making tools for climate change adaptation. Employing a mixed research strategy, data was collected from 403 sample households, 32 key informants, and 6 focus group discussions to address the study objectives. The collected data was analyzed using both descriptive and inferential statistics. Specifically, the Heckman probit econometric model was employed to identify the factors that affect the access to and utilization of climate information services in the study districts. The study discovered that smallholder farmers obtain climate information through various sources, such as personal experience, community meetings, extension services, and mass-media. Despite 65.8 percent of surveyed households recognizing the importance of climate information for decision-making, only 44.4 percent of the respondents implemented it in their agricultural activities. This disparity can be attributed to various socioeconomic, institutional, and farmers’ characteristics. The study emphasized the need for capacity-building training, improved access to infrastructure like Farmer Training Centers (FTCs), and the integration of climate information with extension services to enhance the implementation of strategies to adapt to climate change in the region.</div></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"39 ","pages":"Article 100590"},"PeriodicalIF":4.0,"publicationDate":"2025-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144510824","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":"On using dynamical seasonal forecasts to develop management-driven wildland fire outlooks in Alaska","authors":"Cecilia Borries-Strigle ,&nbsp;Uma S. Bhatt ,&nbsp;Peter A. Bieniek ,&nbsp;Mitchell Burgard ,&nbsp;Eric Stevens ,&nbsp;Heidi Strader ,&nbsp;Richard L. Thoman ,&nbsp;Alison York ,&nbsp;Robert H. Ziel","doi":"10.1016/j.cliser.2025.100592","DOIUrl":"10.1016/j.cliser.2025.100592","url":null,"abstract":"&lt;div&gt;&lt;div&gt;As wildland fires in Alaska and its boreal forest become more extreme, preparing for the upcoming wildfire season has become increasingly challenging for fire managers. This study was developed in close collaboration with fire managers to address their need for advanced summer fire outlooks issued in March and May. Three seasonal forecast models are used to create summer fire outlooks: NOAA CFSv2, ECMWF SEAS5, and Météo-France System8. Variables from these forecasts are used to calculate Buildup Index (BUI), an operationally used fire weather index from the Canadian Forest Fire Danger Rating System. The BUI outlooks are evaluated based on Alaska wildfire subseason, BUI tercile, and predictive service area subregion with the area under the ROC curve (AUROC), Heidke, and mean squared error (MSE) skill scores. Skill is greatest for the wind (April 1–June 10) and drought (July 21–August 9) subseasons and in the Western Boreal subregion of Alaska. Combining the models into a multimodel ensemble increases forecast skill by an average of 11% (19%) for the March (May) forecast AUROC score and an average of 87% (92%) for the March (May) forecast Heidke skill score. May forecasts typically have equal or greater skill than March forecasts, with the greatest increases in skill seen during the wind subseason. However, instances of higher Heidke and MSE skill scores for March forecasts, especially in later subseasons and during large fires years, could be explained by the seasonally decreased predictability.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Practical Implications&lt;/h3&gt;&lt;div&gt;Alaska’s wildfire season has changed over the past 30 years. The season has lengthened by about a month, and extreme fire events have become more frequent. Fire managers begin preparing for the upcoming fire season in March, several weeks before the administrative start of the fire season (April 1) and about three months before the typical peak in late June to early July. With the increasing availability of dynamical seasonal forecasts, the Alaska fire management community has expressed growing interest in using these tools for operational planning.&lt;/div&gt;&lt;div&gt;In this study, we used March-initialized seasonal forecasts to generate early-season outlooks of the Buildup Index (BUI), a key fire weather variable. These outlooks align with the timing of critical early-season decision-making by fire managers, including resource allocation and national coordination. After several years of providing these outlooks, fire managers requested additional outlooks initialized in May to support decisions after the season has begun but before its peak. Although May-initialized forecasts are typically more skillful, our early focus on the more challenging March forecasts reflects our commitment to meeting fire managers’ needs. This long-term collaboration, including presentations at spring meetings and sustained engagement through biweekly calls, has helped refine our scientific focus—e.g., by emphasizing the duff","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"39 ","pages":"Article 100592"},"PeriodicalIF":4.0,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144472134","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":"Sub-seasonal and seasonal climate predictions for a sporting goods retailer company: Co-development of a climate service from scratch","authors":"Albert Soret ,&nbsp;Albert Martínez-Botí ,&nbsp;Raul Marcos-Matamoros ,&nbsp;Nube Gonzalez-Reviriego ,&nbsp;Francesc Roura-Adserias ,&nbsp;Lluís Palma ,&nbsp;Sergio Benito Martín ,&nbsp;Sergio González-Ubierna","doi":"10.1016/j.cliser.2025.100583","DOIUrl":"10.1016/j.cliser.2025.100583","url":null,"abstract":"<div><div>Predicting variations in weather conditions beyond a few days is of great interest to decision-makers, as this time horizon aligns with the strategic planning needs of stakeholders in climate-vulnerable sectors affected by seasonality. While the effects of climate variability are well understood in sectors such as energy and agriculture, where the potential applications of climate predictions in decision-making are already being explored, in other sectors, the direct impacts of climate variability on operations or on defining seasonal transitions remain unclear. In this context, our paper describes the knowledge exchange and co-development process carried out during the co-production of an operational climate service for a sports retail company. We developed a climate service that combines sub-seasonal and seasonal forecasts to provide tailored and user-friendly climate information for the upcoming weeks and months. The operational system supported decision-making in selected stores over a year, with regular evaluations helping to build trust in the service and informing new developments for an improved version. This study demonstrates that a co-production approach, where interaction between the user and the scientist is established early in the forecast product development, is fundamental to the creation of a successful climate service. Beyond this specific case, the long-term aim of the work is to compile and synthesise the lessons learned in developing this service at sub-seasonal and seasonal timescales, to encourage its adoption in other comparable retail businesses also affected by climate variability (e.g. the fashion industry and food-snack production).</div></div>","PeriodicalId":51332,"journal":{"name":"Climate Services","volume":"39 ","pages":"Article 100583"},"PeriodicalIF":4.0,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144364876","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}