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        <title>Frontiers in Climate | Climate Services section | New and Recent Articles</title>
        <link>https://www.frontiersin.org/journals/climate/sections/climate-services</link>
        <description>RSS Feed for Climate Services section in the Frontiers in Climate journal | New and Recent Articles</description>
        <language>en-us</language>
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        <pubDate>2026-08-15T03:37:08.499+00:00</pubDate>
        <ttl>60</ttl>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fclim.2026.1768549</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fclim.2026.1768549</link>
        <title><![CDATA[Improved climate services in Hawai‘i: the collaborative development of drought-related decision support tools]]></title>
        <pubdate>2026-08-05T00:00:00Z</pubdate>
        <category>Technology and Code</category>
        <author>Ryan J. Longman</author><author>Derek Ford</author><author>Cherryle Heu</author><author>Jennifer Geis</author><author>Abby G. Frazier</author><author>Christian P. Giardina</author><author>James T. Potemra</author><author>Sean B. Cleveland</author><author>John J. Marra</author>
        <description><![CDATA[Rising temperatures, prolonged droughts, and increasingly variable rainfall are negatively impacting natural and cultural resources and agricultural production systems in Hawai‘i. To effectively manage resources in the face of these changes, stewards and producers now require accurate, timely, and site-specific climate data and information. However, access to such data as well as the ability to interpret available data remain limited for many sectors. In response to various needs, a team of scientists working with the Pacific Drought Knowledge Exchange (PDKE) has developed two open-source decision-support tools (DSTs) through a collaborative, user-informed process aimed at closing longstanding gaps in local climate services. This paper introduces these new tools highlighting how they were co-designed to support resource management and producer needs in Hawaiʻi. The first DST is the automated Climate Change, Climate Variability, and Drought Portfolio tool which provides customized site-specific, fine-scale climate data and information summaries to end users. The second DST is the Hawai‘i Rangeland Information Portal (H-RIP), which is designed to deliver near-real-time and near-future, site-specific drought and forage production information to ranchers in Hawai‘i. These tools leverage the latest gridded climate products available on the Hawaiʻi Climate Data Portal (HCDP) thus providing the highest quality and most up-to-date information available for the state. Both tools were intentionally designed and co-produced with end-users to meet the practical needs of resource managers by providing site-specific information through intuitive, web-based platforms. These DSTs improve climate data accessibility and usability and significantly strengthen the state’s overall climate service infrastructure. Collectively, these platforms represent scalable models for enhancing adaptive capacity and resilience through data-driven planning and locally relevant and data informed decision making.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fclim.2026.1862586</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fclim.2026.1862586</link>
        <title><![CDATA[Climate change and oil palm: impacts and adaptation strategies for resilient production]]></title>
        <pubdate>2026-06-26T00:00:00Z</pubdate>
        <category>Review</category>
        <author>K. Ramachandrudu</author><author>K. Harsha Vardhan</author><author>R. P. Premalatha</author><author>A. R. N. S. Subbanna</author>
        <description><![CDATA[Oil palm is the world’s most productive oil-bearing crop, yet its sustainability is increasingly threatened by climate change. Rising temperatures, irregular rainfall, higher atmospheric CO₂ and extreme weather events affect oil palm growth, productivity and ecosystem stability. Temperatures above the optimal range of 24 °C–32 °C reduce photosynthesis. They also disturb reproductive development and lower fresh fruit bunch yield. Drought and variable rainfall further reduce productivity by limiting carbon assimilation and inflorescence differentiation. Climate change also increases pest and disease pressure. This intensifies both biotic and abiotic stresses. Several adaptation strategies are being explored in genetic, agronomic and technological fields. Genomic tools such as marker-assisted selection and genomic selection help develop stress-tolerant genotypes more quickly. Improved agronomic practices, including better soil management, efficient irrigation, cropping system approaches and integrated pest management, improve system resilience. Digital agricultural technologies also support adaptation. These include remote sensing, UAVs, IoT-based systems, and artificial intelligence. They enable real-time monitoring, early stress detection and efficient resource management. A multidisciplinary and climate-smart approach will help maintain productivity, resilience and sustainability in oil palm systems under future climate conditions.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fclim.2026.1733203</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fclim.2026.1733203</link>
        <title><![CDATA[Weather-driven epidemiology and forecasting of Myrothecium leaf spot in coffee seedlings: machine learning approach for predicting the disease]]></title>
        <pubdate>2026-06-22T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>A. P. Ranjini</author><author>Santoshreddy Machenahalli</author><author>Somashekhargouda Patil</author><author>Madhu S. Giri</author><author>Raja Naika</author><author>Soundara Rajan</author><author>C. Babou</author><author>M. Senthilkumar</author>
        <description><![CDATA[Myrothecium leaf spot, caused by Myrothecium roridum, is an emerging disease threat to coffee (Coffea arabica L. cv. Chandragiri) nurseries, resulting up to 30% seedling loss and occasionally affecting young field transplants. Although M. roridum was historically considered a weak pathogen, recent increases in its prevalence suggest that climate variability and shifts in local weather patterns may be driving its resurgence. To evaluate the influence of meteorological factors on disease development, a study was conducted during 2018 and 2019, focusing on cumulative rainfall, maximum and minimum temperatures and relative humidity. Disease incidence and severity were recorded weekly and correlated with weather data. Interannual comparisons revealed that, during the year 2019 characterized by higher rainfall and humidity and lower temperatures exhibited substantially greater disease index (DI) values and spore spread potential (Sv) than 2018. The dataset consisted of 44 weekly observations (22 per year). Pearson correlation analysis revealed strong positive associations between DI and rainfall (r = 0.76) and minimum RH (r = 0.74) and between Sv and both rainfall (r = 0.72) and DI (r = 0.84). Among six forecasting models tested for one-week-ahead prediction of DI, XGBoost achieved the best performance (RMSE ≈ 5.85, R2 ≈ 0.63). Granger causality analysis confirmed rainfall as a significant temporal predictor of DI and maximum RH as a key driver of Sv, highlighting the role of climate-sensitive weather parameters in disease epidemiology. However, the moderate predictive accuracy and absence of independent validation indicate that the models should presently be considered exploratory rather than operational forecasting tools. These findings suggest that interannual weather variability, particularly fluctuations in rainfall and humidity, may influence the risk of Myrothecium outbreaks in coffee nurseries. Integrating weather-based forecasting models into early warning systems may support the future development of climate-resilient disease management strategies.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fclim.2026.1829924</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fclim.2026.1829924</link>
        <title><![CDATA[Impact of climate change on plantation crops with special reference to tea (Camellia sinensis (L.) O. Kuntze) in India]]></title>
        <pubdate>2026-06-08T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Azariah Babu</author><author>Ajmeri Sultana Rahman</author><author>Rupanjali Deb Baruah</author><author>Venkatesan Selvaraj</author><author>Hariharan Sudha Sooraj</author><author>Rupak Sarma</author>
        <description><![CDATA[Climate change poses a serious threat to the sustainability and productivity of plantation crops in tropical and subtropical regions. In India, tea (Camellia sinensis (L.) O. Kuntze), a major plantation crop and economic driver, is particularly sensitive to changing climatic variables. This study analyzes the shifts in critical climatic variables across four major Indian tea-growing regions, viz., South Bank (Assam), Nagrakata (West Bengal), Anamallais (Tamil Nadu), and the High Ranges (Kerala) over a 30-year period (1996–2025). Using the Mann–Kendall trend test and Sen's slope estimator, significant spatiotemporal climate variations like maximum and minimum temperatures (Tmax, Tmin), rainfall (RF), and relative humidity (RH) were analyzed. Data were segregated into demi-decadal and seasonal intervals to observe periodic and seasonal fluctuations. Findings showed that the South Bank and Nagrakata regions experienced a significant increase in Tmax (p < 0.001), with a rise of 1.1 °C−1.3 °C compared to long-term averages, while Tmin decreased significantly (p < 0.001) by 1.8 °C in South Bank. In the case of Nagrakata, although long-term RF increased (p < 0.05), total rainfall notably decreased by 88 mm in 2025, while in South Bank, the decrease was 364 mm. The morning and afternoon RH in both regions declined (p < 0.05), where the afternoon RH dropped by about 2%. In Anamallais, Tmax declined (τ-coefficient = −0.07), while winter Tmin increased. Notably, overall seasonal RF significantly increased (p < 0.05), alongside a significant rise in morning and afternoon RH (p < 0.001). Conversely, the High Range regions showed a widening temperature gap, with Tmin rising significantly (p < 0.001) in recent years. While overall seasonal rainfall increased (p < 0.05), the critical monsoon rainfall decreased, along with its morning RH (p < 0.05). These changing trends of the overall climatic pattern have a substantial impact on tea cultivation and its production. In order to safeguard this tea sector, the study discusses the urgent implementation of integrated adaptation and mitigation strategies, including the deployment of drought-tolerant cultivars, agroforestry for microclimate regulation, and multi-scalar policy frameworks to protect the millions of livelihoods tied to this labor-intensive industry.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fclim.2026.1789662</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fclim.2026.1789662</link>
        <title><![CDATA[Applying a climate information distillation framework to support a climate resilient hydropower sector in Nepal]]></title>
        <pubdate>2026-05-18T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Rosie L. Oakes</author><author>Joseph Daron</author><author>Hamish Steptoe</author><author>Katy Richardson</author><author>Mandira Singh Shrestha</author><author>Divas B. Basnyat</author><author>Cathryn Fox</author><author>Saurav Pradhananga</author><author>Girish Lamsal</author><author>Divya Subedi</author>
        <description><![CDATA[Co-production of climate services is widely recognised as a valuable way to integrate relevant and reliable climate information into decision-making contexts. Yet the extent of information and evidence that may be relevant to a climate-sensitive decision can be very large, and it is not always feasible to involve all stakeholders throughout the process of constructing climate information. Pragmatic approaches are required, particularly in resource-constrained contexts to ensure scientifically defensible climate information can be provided to guide adaptation decisions. The Climate Information Distillation Framework (CIDF) is a multidisciplinary approach that builds on recent research with the aim of supporting climate service development across a range of applications, sectors and contexts. Here we apply the theoretical framework to the Nepal hydropower sector. Focusing on present day uncertainties and projected future changes to extreme rainfall, we show that a CIDF can be applied in situations where opportunities for co-production are limited but where there is a need to consider diverse perspectives and objectives. The benefits and challenges of using this framework are discussed, highlighting that while climate information rarely dominates in adaptation decision-making processes, appropriate framing, synthesis, transparency and communication of uncertain climate information can valuably support adaptation decisions and policy. Providing the case study of hydropower development in Nepal, within a complex economic and development context, we find that applying the theoretical framework must be done with humility and flexibility to support real-world decision-making.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fclim.2026.1804885</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fclim.2026.1804885</link>
        <title><![CDATA[From static models to digital twins: a participatory framework for actionable climate adaptation modelling]]></title>
        <pubdate>2026-05-07T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Sarah Wright</author><author>Björn Backeberg</author><author>Gundula Winter</author><author>Nieves Peña Cerezo</author><author>Efrén Feliú Torres</author><author>Niels Souverijns</author><author>Delphine Deryng</author>
        <description><![CDATA[Climate adaptation planning increasingly depends on advanced modelling and digital technologies to explore future risks and adaptation options under deep uncertainty. However, a persistent gap remains between the technical sophistication of climate and impact models and their usability, transparency, and relevance for real-world decision-making, particularly in the development of more complex modelling systems and Digital Twins for adaptation planning. This paper presents the Generic Adaptation Modelling Framework (GAMF), a structured, participatory approach for co-creating adaptation modelling systems. Developed through extensive stakeholder engagement, the GAMF details collaboration between modellers, end-users, and civil society across the full modelling lifecycle, emphasising modularity, reproducibility, transparency, and iterative learning. Two demonstrators—heat stress exposure in the Basque Country and coastal flood risk in Scheveningen—show how stakeholder-driven scoping, modular model integration, and co-designed outputs can improve the usability and relevance of quantitative adaptation modelling within the European context and beyond. The GAMF offers a transferable foundation for co-creating inclusive, decision-relevant modelling systems and Digital Twins that support equitable and actionable climate adaptation planning.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fclim.2026.1735834</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fclim.2026.1735834</link>
        <title><![CDATA[From information to engagement in the Anthropocene: media’s role in low-carbon city transformation in China]]></title>
        <pubdate>2026-04-23T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Yan Wu</author><author>Pim Martens</author><author>Thomas Krafft</author>
        <description><![CDATA[Urban areas, with dense populations and concentrated consumption, are major contributors to CO₂ emissions, accelerating the progression of the Anthropocene. In this context, low-carbon city transformation is essential for sustainability and climate resilience. This transformation is a complex process requiring collaboration across sectors and stakeholders, with media serving as a crucial communication bridge connecting government, the public, and other actors. This study uses in-depth interviews combined with systems thinking and transdisciplinary insights to analyze media coverage and its role in China’s low-carbon city transition. Basing on our cases, this study finds that (1) diverse media reporting raises public awareness of climate and low-carbon issues, but in-depth analysis and scientific interpretation remain limited due to a shortage of trained climate journalists. (2) Visual formats like videos and animations effectively capture public attention, while in-depth written reports, especially from state media, exert greater influence on policy and industrial transformation. (3) Beyond information dissemination, media facilitate dialog among government, businesses, NGOs, and citizens, promoting collective action in low-carbon city transformation. However, challenges such as climate anxiety, misinformation, and algorithm-driven information gaps undermine trust and engagement. This study highlights the media’s vital role in raising awareness, influencing behavior, and connecting stakeholders, providing insights to support better policy decisions and climate communication strategies for sustainable urban futures.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fclim.2026.1842153</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fclim.2026.1842153</link>
        <title><![CDATA[Correction: Digital transformation in climate change management: tools for managing droughts, floods, and frost in South America: a systematic review]]></title>
        <pubdate>2026-04-09T00:00:00Z</pubdate>
        <category>Correction</category>
        <author>Del Piero R. Arana-Ruedas</author><author>Edwin Pino-Vargas</author><author>Sandra del Águila-Ríos</author><author>Lía Ramos-Fernández</author>
        <description></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fclim.2026.1765251</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fclim.2026.1765251</link>
        <title><![CDATA[Digital transformation in climate change management: tools for managing droughts, floods, and frost in South America: a systematic review]]></title>
        <pubdate>2026-03-24T00:00:00Z</pubdate>
        <category>Systematic Review</category>
        <author>Del Piero R. Arana-Ruedas</author><author>Edwin Pino-Vargas</author><author>Sandra del Águila-Ríos</author><author>Lía Ramos-Fernández</author>
        <description><![CDATA[IntroductionClimate change poses profound challenges to sustainable development by intensifying the frequency, duration, and severity of climate-related events such as droughts, floods, and frosts. Across South America, communities continue to face structural limitations in accessing timely and locally relevant climate information despite advances in climate services and digital technologies.MethodsThis study systematically examines how digital transformation supports climate change management in South America through a PRISMA-guided systematic review of 34 peer-reviewed studies and an assessment of 18 national digital climate platforms.ResultsThe analysis reveals substantial disparities in institutional capacity, data infrastructure, and the operational maturity of climate information systems. While countries such as Peru, Brazil, Colombia, and Argentina show more consolidated frameworks, others maintain fragmented platforms with limited interoperability and restricted functionality. Most digital tools provide highly technical information without offering adaptation-oriented guidance or localized decision support.DiscussionThe findings highlight the need for more integrated, user-centered, and context-sensitive climate services that bridge the gap between scientific outputs and operational action. Strengthening digital infrastructures, promoting regional cooperation, and expanding co-produced climate services are critical to improving climate resilience and supporting adaptation planning across South America.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fclim.2026.1691030</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fclim.2026.1691030</link>
        <title><![CDATA[Improved seasonal precipitation forecasts for the Blue Nile Basin: a deep learning approach]]></title>
        <pubdate>2026-03-24T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Rebecca Wiegels</author><author>Christian Chwala</author><author>Julius Polz</author><author>Luca Glawion</author><author>Christof Lorenz</author><author>Tanja C. Schober</author><author>Harald Kunstmann</author>
        <description><![CDATA[Seasonal precipitation forecasts are essential for climate-sensitive sectors such as agriculture and water management in East Africa. However, the application of seasonal forecasts at regional scales requires post-processing due to systematic errors and insufficient spatial resolution to capture local characteristics. Yet current statistical methods have remaining limitations in terms of spatial consistency and the representation of extreme events. Here, we propose a deep learning approach, Seasonal AFNOCast, based on an adaptive Fourier Neural Operator architecture, to bias-correct and downscale SEAS5 precipitation forecasts for the Blue Nile Basin, a transboundary catchment in Ethiopia and Sudan. We evaluate Seasonal AFNOCast alongside the established statistical method, Bias Correction and Spatial Disaggregation (BCSD), using forecasts from 2017–2023. Results show that both methods substantially improve precipitation distributions, spatial patterns, and the Continuous Ranked Probability Skill Score (CRPSS) of approx. 0.3 compared to raw SEAS5. Despite only modest improvements over climatology across the entire evaluation period (CRPSS approx. 0.03), both methods show clear skill enhancements during the months March to May (MAM), a highly variable yet operationally critical season for decision-making. While onset predictability remains challenging at a seasonal scale, even after post-processing, this study identifies key differences in the application of the post-processing methods: BCSD performs best at short lead times, whereas Seasonal AFNOCast maintains higher skill at longer leads and indicates an improved representation of high-intensity rainfall and spatial frequency characteristics. Moreover, Seasonal AFNOCast generates forecasts 5–20 times faster than BCSD, making it particularly suitable for operational contexts. Our findings show that deep learning can complement and extend conventional post-processing, improving seasonal forecasts for subsequent applications and supporting hydrological and agricultural decision-making where representation of extreme events and spatial consistency, as well as computational efficiency, are critical.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fclim.2026.1762364</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fclim.2026.1762364</link>
        <title><![CDATA[Climate change impacts and adaptation strategies in coconut plantations: integrating remote sensing and real-time monitoring]]></title>
        <pubdate>2026-03-20T00:00:00Z</pubdate>
        <category>Review</category>
        <author>Tharindu D. Nuwarapaksha</author><author>Shashi S. Udumann</author><author>Nuwandhya S. Dissanayaka</author><author>Anjana J. Atapattu</author>
        <description><![CDATA[Climate change poses serious challenges to coconut plantations worldwide, affecting physiological processes, reproductive success, and overall productivity. Rising temperatures, changes in precipitation patterns, increased pest and disease incidence, and coastal degradation are threatening the sustainability of coconut production, which supports the livelihoods of millions of farmers in tropical regions. The review is a synthesis of existing information on the effects of climate change on coconut plantations and an analysis of adaptation measures incorporating advanced remote sensing and real-time monitoring systems. Satellite platforms, unmanned aerial vehicles (UAVs), and Internet of Things (IoT) sensor networks enable early and precise detection of water stress, nutrient deficiency, and disease outbreaks before the manifestation of symptoms. These technologies enable climate impact assessment, early warning, yield forecasting, and precise resource management at the palm level. To adapt successfully, it is necessary to integrate technological innovations with agronomic strategies such as the optimization of irrigation, the development of cultivar that is resistant to climatic change, and climate-wise agroforestry systems that would be more productive and create resilience. The supportive policy frameworks, institutional capacity building, affordable technology to growers and participatory research methods are the keys to the successful scaling of these solutions. Future directions involve the new biotechnologies, integration of artificial intelligence, and collaboration processes between science and practice that can offer a holistic approach to managing climate-smart coconut plantations in the face of increased environmental change.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fclim.2026.1757212</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fclim.2026.1757212</link>
        <title><![CDATA[Supporting coastal flood forecasting and community-led adaptation with tide gauges, community science and youth engagement]]></title>
        <pubdate>2026-03-20T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Hannah Baranes</author><author>Gayle Bowness</author><author>David Reidmiller</author><author>Meggie Harvey</author><author>Riley Young Morse</author><author>Tora Johnson</author><author>Anna Simpson</author><author>Abigail Long</author><author>Alex Kerney</author><author>Connor Brooks</author><author>Stephanie Sun</author><author>Adelle Pitsas</author><author>Sheba Brown</author><author>Robin Lea</author><author>Catherine Bursk</author><author>Dylan Pugh</author><author>Sienna Zuco</author><author>Morgan Glynn</author><author>Donald Dumont</author><author>John Cannon</author><author>Louise Fode</author><author>Tom Shyka</author><author>Jamie Carter</author><author>Kevin Mukai</author><author>Brian Glazer</author><author>Anastasia Fischer</author><author>Carol Coryea</author><author>Colleen Maker</author><author>Alison England</author><author>Emily Hollyday</author><author>Alice Shaw</author><author>Kevin Deneault</author><author>Troy Moon</author><author>Katie Tims</author><author>Cathy Lookabaugh</author><author>Kyle Winslow</author><author>Kathryn Liberman</author><author>Sarah Oktay</author><author>Alaina Zyhowski</author><author>Dottie Yunger</author><author>Bailey O’Brien</author>
        <description><![CDATA[As sea level rise shifts coastal flooding from future threat to present reality, communities must transition from planning to implementing operational solutions for managing increasingly frequent and damaging floods. Coastal flood management requires both technical and human capacity, including access to reliable water level forecasts, established relationships between water level and local impact, and an informed and engaged network of practitioners and community members. Here, we describe the transferable approach of a multidisciplinary team of research, civic, community, education, and industry partners working to expand the collection of coastal water level and flood impact data in coastal Maine, USA. The approach centers community leadership and youth engagement to achieve project sustainability and translation of data toward community resilience. We installed a network of ultrasonic and radar tide gauges and developed local capacity for running and sustaining a coastal-flooding community science program that collects geo- and time-referenced flood impact data. We also involved youth through a newly developed curriculum in which students contribute flood observation data and engage with decision-makers in their communities around flood adaptation strategies. National Weather Service forecasters are using paired water level and flood impact observations to establish new total water level forecast points, local flood thresholds, and detailed impact statements. Municipalities are applying the data to near-term event response and long-term climate planning and adaptation projects. Embedding flood awareness in communities through this suite of data, tools, activities, and events is fostering a form of climate resilience and preparedness that is somewhat intangible and yet deeply valuable.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fclim.2026.1741828</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fclim.2026.1741828</link>
        <title><![CDATA[Economic value of agro-meteorological services: a review of the international literature]]></title>
        <pubdate>2026-01-29T00:00:00Z</pubdate>
        <category>Systematic Review</category>
        <author>Joseph Manzvera</author><author>Kwabena Asomanin Anaman</author>
        <description><![CDATA[IntroductionThe increasing frequency and intensity of climate-induced extreme weather events, such as droughts, have significantly reduced agricultural productivity worldwide. Enhancing access to agro-meteorological services can mitigate these impacts by improving farmers’ decision-making and adaptive capacity. However, their economic value remains poorly understood, especially in African countries where meteorological services are provided as public goods. Demonstrating their value is critical to stimulate investment and strengthen climate-resilient agriculture.MethodsThis study reviews and synthesises empirical evidence on the economic value of agro-meteorological services through a systematic literature review and meta-analysis of international studies. Both peer-reviewed and grey literature were analysed to assess valuation methods, estimated benefits, and knowledge gaps.ResultsThe meta-analysis results indicate that agro-meteorological services generate an estimated annual economic value of US$0.59 billion annually, underscoring their vital role in enhancing agricultural productivity, risk management, and resilience to climate shocks. Access to reliable weather and climate information enables farmers to make informed decisions, optimise resource use, and reduce crop losses, thereby contributing to more sustainable and profitable agricultural systems.DiscussionDespite their clear economic value, political, institutional, and socio-economic factors influencing investment decisions remain underexplored. The integration of political economy analysis is essential to understand how governance structures, marginalisation, and social inequalities shape access to and benefits from agro-meteorological services.RecommendationsGovernments and development partners should increase investment in advanced meteorological infrastructure, data and communication systems, treating these services as productive investments rather than costs. Researchers should integrate indigenous weather knowledge with modern forecasting to enhance trust and usability. The economic analyses should incorporate secondary benefits across sectors using tools such as input–output analysis and general equilibrium models to better capture the full societal value of agro-meteorological services. There is also a need to incorporate political economy perspectives in future studies to better capture how social and structural inequalities shape the economic value and equitable use of agro-meteorological services.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fclim.2025.1748714</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fclim.2025.1748714</link>
        <title><![CDATA[Adopting coffee to climate change: arabica rootstocks enhance physiological performance of robusta under water deficit]]></title>
        <pubdate>2026-01-23T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Somashekhargouda Patil</author><author>K. P. Yashaswini</author><author>H. R. Yashasvi</author><author>Jeena Devasia</author><author>M. Govindappa</author><author>C. Babou</author><author>M. Senthilkumar</author>
        <description><![CDATA[IntroductionDrought stress is a critical limitation to robusta coffee (Coffea canephora) cultivation, particularly under prolonged dry seasons and increasing climate variability. Grafting robusta onto arabica (Coffea arabica) rootstocks is a promising strategy to enhance physiological performance under water-limited conditions.MethodsA three-year nursery study (2020–2023) was conducted at the Central Coffee Research Institute, Karnataka, India, to evaluate the drought response of two robusta scions (S.274 and C×R) grafted onto four tetraploid arabica rootstocks (Sln.6, Sln.9, S.4595 and Sln.5B). The experiment followed a randomized block design with three replications. Physiological and biochemical traits were assessed at before stress, at incipient wilting (9.4% soil moisture) (at stress) and 15 days after rewatering (after alleviation of stress).ResultsThe combination S.4595/C×R exhibited the lowest reduction in net photosynthesis (−7.7%) under stress and highest post-stress recovery. Sln.6/C×R and Sln.9/S.274 also performed well, while Sln.5B/C×R maintained stable stomatal conductance and full recovery. S.4595/C×R and Sln.5B/C×R showed minimal decline in intercellular CO₂, high relative water content (79.63%), and epicuticular wax deposition (29.90 µg/cm²), indicating enhanced water retention. These grafts also retained higher chlorophyll a and b content and demonstrated superior intrinsic water use efficiency.DiscussionArabica-rooted grafts, particularly S.4595/C×R, Sln.5B/C×R and Sln.6/C×R, significantly enhanced physiological tolerance to drought. These combinations offer promising options for developing climate-resilient coffee systems through rootstock-scion interactions, especially under increasing moisture stress scenarios.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fclim.2025.1681671</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fclim.2025.1681671</link>
        <title><![CDATA[Gender dynamics in climate information services: a systematic review of intersectional influences and strategies for smallholder farmers in Sub-Saharan Africa]]></title>
        <pubdate>2025-12-17T00:00:00Z</pubdate>
        <category>Systematic Review</category>
        <author>Salma Khatibu</author><author>Gasper Kissoka</author>
        <description><![CDATA[IntroductionThe adoption of Climate Information Services (CIS) in Sub-Saharan Africa (SSA) is critical for enhancing agricultural resilience amid escalating climate variability, yet equitable access remains hindered by systemic gender disparities and insufficient attention to intersectional factors. This review examines the dynamics in gender-responsive CIS adoption and use, emphasizing the neglect of intersecting social dimensions, which exacerbate barriers for marginalized women.MethodologyA systematic review of peer-reviewed literature was conducted, focusing on studies addressing CIS adoption in SSA from 2014 to 2024. Sources were drawn from databases such as Web of Science, Scopus, PubMed, CABI Abstracts, and Africa Portal. Qualitative and quantitative studies were analyzed to assess methodological approaches.Key findingsAlthough gender is widely addressed in the reviewed literature, only 4 of the 19 studies (21%) explicitly analyzed more than one intersecting identity category. This demonstrates a substantial gap in intersectional evidence within CIS research, limiting understanding of compounded barriers faced by women who are constrained by asset scarcity and social exclusion. Resource barriers, such as limited access to mobile phones and radios, are acknowledged, but cost-effectiveness evidence of interventions like subsidized technologies are scarce. The lack of gender-disaggregated data hinders tailored CIS design.RecommendationsFuture research should prioritize in-depth, qualitative studies to explore how intersecting identities shape CIS access, employing participatory methods to capture cultural and social dynamics. These strategies aim to bridge gender gaps, enhance climate resilience, formulate gender inclusive policies and foster sustainable agricultural development in Sub-Saharan Africa.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fclim.2025.1692594</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fclim.2025.1692594</link>
        <title><![CDATA[Farmers’ willingness to pay for weather and climate information services in sub-Saharan Africa: a systematic review with meta-analysis]]></title>
        <pubdate>2025-12-15T00:00:00Z</pubdate>
        <category>Systematic Review</category>
        <author>Mori W. Gouroubera</author><author>Alcade C. Segnon</author><author>Franck B. N. Tonle</author><author>Robert B. Zougmoré</author>
        <description><![CDATA[Access to Weather and Climate Information Services (WCIS) is critical for strengthening farmers’ resilience to climate risks. Yet, understanding farmers’ willingness to pay (WTP) for WCIS and its determinants for designing sustainable delivery and financing mechanisms in sub-Saharan Africa (SSA) remains limited. This study synthesizes existing evidence on farmers’ WTP for WCIS in SSA through a systematic review with meta-analysis of 14 relevant publications involving 20 empirical studies covering 5,709 farmers across 11 countries. The pooled estimate indicates that approximately 75% (95% CI: 65–83%) of farmers are WTP for WCIS, with a higher preference for bundled services (86% [95% CI: 79–91%]) compared to standalone WCIS products (48% [95% CI: 35–62%]). On average, farmers are willing to pay 8.11 USD/year (95% CI: 3.20–13.02) for WCIS, with a higher amount (13.7 USD/year, 95% CI: 8.37–19.06) for bundled services compared to standalone WCIS (1.38 USD/year, 95% CI: 0.16–2.59). Key drivers of WTP include economic and financial factors (access to credit and farm size), ownership of Information and Communications Technology (ICT) devices (mobile phone and television), access to extension services and market information, perceived forecast accuracy, and awareness and exposure to climatic risks. In contrast, traditional socio-demographic variables such as age, gender, and education showed limited explanatory power. These findings underscore that while farmers value WCIS, the amount they are willing to pay to access WCIS remains very low, limiting the viability and sustainability of business models with revenue generation relying solely on farmers. The paucity of studies and the heterogeneity in the findings call for further research on farmers’ WTP for WCIS across geographical and socioeconomic contexts of the continent, with a focus on developing sustainable business models that engage the private sector to support effective climate information dissemination and build climate-resilient farming systems.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fclim.2025.1670665</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fclim.2025.1670665</link>
        <title><![CDATA[Enhancing public health through ocean research—a model for global partnership]]></title>
        <pubdate>2025-12-15T00:00:00Z</pubdate>
        <category>Study Protocol</category>
        <author>Andrea Piccioli</author><author>Luca Lucentini</author><author>Anna Muratore</author><author>Roberta Risoluti</author><author>Rossella Briancesco</author><author>Giuseppina La Rosa</author><author>Lorenza Notargiacomo</author><author>Giorgia Mattei</author><author>Daniela Mattei</author><author>Federica Nigro Di Gregorio</author><author>Enrico Veschetti</author><author>Sara Bogialli</author><author>Giuseppe Bortone</author><author>Fulvio Ferrara</author>
        <description><![CDATA[Understanding the connection between ocean health and human health is currently limited and fragmented, calling for transdisciplinary research and strategic action. The contribution of public health experts alongside marine scientists are essential for a comprehensive understanding of the health-environment-climate nexus in a Planetary Health perspective. This paper proposes a novel Model for a standing Global Partnership, the SeA Care project. This initiative aims to align efforts within the framework of the Sustainable Development Goals merging the principles of Planetary Health with the “One Water” approach. By doing so it seek to foster the development and assessment of new strategies for oceanwide surveillance focusing on adaptation, mitigation and prevention.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fclim.2025.1634062</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fclim.2025.1634062</link>
        <title><![CDATA[Assessing climate change impact on storm surge and funding strategies in east peninsular Malaysia]]></title>
        <pubdate>2025-12-11T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Nurdiyana Nabilah Rosli</author><author>Hee-Min Teh</author><author>Sooyoul Kim</author>
        <description><![CDATA[Climate change is intensifying storm surge risks in Southeast Asia, particularly along Malaysia’s east coast facing the South China Sea. This study uses the d4PDF climate dataset to simulate maximum storm surge heights under 2 °C and 4 °C global warming scenarios. Results show that projected surge heights exceed 1 meter at all key coastal stations, with localized surges reaching up to 1.8 meters. By integrating these projections with 2014–2024 flood loss statistics and national budget allocations, the study identifies a concerning mismatch between increasing storm surge risks and current mitigation investments, suggesting that existing policy frameworks are underfunded and may lack the capacity to adequately protect high-risk coastal areas. To address this, the study recommends the development of a unified regional storm surge prediction and response system that integrates real-time data and supports cross-border coordination. It also proposes the establishment of standardized infrastructure guidelines tailored to storm surge resilience, and calls for increased investment in community-based risk mapping powered by artificial intelligence (AI). These strategies provide an actionable framework for strengthening disaster management, improving policy responsiveness, and enhancing coastal resilience across Malaysia and Southeast Asia.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fclim.2025.1666586</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fclim.2025.1666586</link>
        <title><![CDATA[From hazard to disruption: forecasting direct and indirect tropical cyclone impacts on infrastructure in Mozambique]]></title>
        <pubdate>2025-11-28T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Gabriela G. Espejo</author><author>Zélie Stalhandske</author><author>Evelyn Mühlhofer</author><author>Thomas Röösli</author><author>Stefan Brönnimann</author><author>David N. Bresch</author><author>Andreas Paul Zischg</author>
        <description><![CDATA[Critical infrastructure (CI), such as healthcare facilities, schools, and the road network, plays a vital role in society by providing essential services that sustain the functioning of communities. Disruptions to this infrastructure can have profound consequences, affecting public health, safety, economic activities, and general well-being. Weather extremes, including tropical cyclones (TCs), are major drivers of such disruptions, causing widespread failures to power, communication, transportation, and healthcare. Forecasting the potential impact of weather events on these services in the weeks to days before landfall is crucial to enhance preparedness and enable effective anticipatory actions. Unlike previous efforts that focused primarily on estimating the potentially affected population, this research shifts attention to evaluating direct and indirect impacts on CI, and to capture the uncertain nature of impact forecasts depending on lead-time. The methodology, which relies entirely on open-source code and data, yields several metrics quantifying the impact of ensemble-based tropical cyclone (TC) wind forecasts on healthcare access, including the number of hospitals directly affected and the number of people indirectly affected due to disrupted access to healthcare facilities. We apply this approach to TCs Idai, Kenneth, and Freddy, which have struck Mozambique since 2019. The results highlight the extent of indirect effects on the population from infrastructure disruptions. Uncertainty arises from lead time, disruption threshold assumptions, and the challenge of capturing impact magnitude, especially for rapidly intensifying TCs. These findings underscore the importance of including indirect impacts into Impact-Based Forecasting (IBF) frameworks, which could enhance decision making. This research aligns with the development of IBF and situational awareness mechanisms promoted by the World Meteorological Organization (WMO). Building on this, the work supports international organizations in activating early warning protocols and delivering more targeted aid, such as financial resources, blankets, medical supplies, and volunteer personnel by identifying where hospitals are likely to be disrupted and which populations may lose access to healthcare. The visualizations generated further assist decision-makers in prioritizing areas that require immediate support.]]></description>
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        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/fclim.2025.1688221</guid>
        <link>https://www.frontiersin.org/articles/10.3389/fclim.2025.1688221</link>
        <title><![CDATA[Enhancing public understanding of extreme weather events in a changing climate through ClimaMeter]]></title>
        <pubdate>2025-11-13T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Davide Faranda</author>
        <description><![CDATA[ClimaMeter is a real-time platform designed to provide rapid, science-based assessments of extreme weather events and their links to climate change. ClimaMeter’s methodology relies on identifying large-scale atmospheric circulation patterns and comparing them to historical data, analyzing how the intensity of extreme weather events have changed because of anthropogenic climate change or natural climate variability. By leveraging historical climate data, machine learning, and real-time weather observations, ClimaMeter delivers near-instantaneous attribution results, enabling informed decision-making in a time when media cycles and public attention are brief. This speed is crucial for climate action, as it helps policymakers, emergency responders, and the public understand the role of climate change in specific extreme events and take timely, effective measures. This allows for quicker, data-driven responses to disasters, such as the October 2024 Valencia floods or the Medicane Daniel, by informing disaster response, infrastructure planning, and resilience-building efforts. ClimaMeter also plays a key role in countering climate change misinformation, offering evidence-based explanations to the public and media. By bridging the gap between scientific research and policy applications, ClimaMeter supports climate action, promotes public awareness, and aids in the development of adaptation and mitigation strategies to address the growing risks posed by climate change.]]></description>
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