Introducing design in the development of effective climate services

Christel, Isadora; Hemment, Drew; Bojović, Dragana; Cucchietti, Fernando M.; Calvo, Luz; Stefaner, Moritz; Buontempo, Carlo

doi:10.1016/j.cliser.2017.06.002

Cited by 69 publications

(52 citation statements)

References 31 publications

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“…Nevertheless, there is not yet a consistent, international coordination mechanism for in-situ observations and reanalysis for climate services [11,29,35,54,83,89,103,104]. It is evident that the upstream of climate services has been developing and maturing, while the midstream and downstream are still in their infancy [105,106]. To assist climate services moving towards a demand-driven and science-informed approach, and therefore moving faster towards midstream and downstream, the usability assessment is a stepping-stone.…”

Section: Conclusion and Outlooksmentioning

confidence: 99%

Towards a Traceable Climate Service: Assessment of Quality and Usability of Essential Climate Variables

Zeng

Barmpadimos³

et al. 2019

Remote Sensing

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Climate services are becoming the backbone to translate climate knowledge, data & information into climate-informed decision-making at all levels, from public administrations to business operators. It is essential to assess the technical and scientific quality of the provided climate data and information products, including their value to users, to establish the relation of trust between providers of climate data and information and various downstream users. The climate data and information products (i.e., from satellite, in-situ and reanalysis) shall be fully traceable, adequately documented and uncertainty quantified and can provide sufficient guidance for users to address their specific needs and feedbacks. This paper discusses details on how to apply the quality assurance framework to deliver timely assessments of the quality and usability of Essential Climate Variable (ECV) products. It identifies an overarching structure for the quality assessment of single product ECVs (i.e., consists of only one single variable), multi-product ECVs (i.e., more than one single parameter), thematic products (i.e., water, energy and carbon cycles), as well as the usability assessment. To support a traceable climate service, other than rigorously evaluating the technical and scientific quality of ECV products, which represent the upstream of climate services, how the uncertainty propagates into the resulting benefit (utility) for the users of the climate service needs to be detailed.

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Section: Conclusion and Outlooksmentioning

confidence: 99%

Towards a Traceable Climate Service: Assessment of Quality and Usability of Essential Climate Variables

Zeng

Barmpadimos³

et al. 2019

Remote Sensing

View full text Add to dashboard Cite

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“…While it is acknowledged that different users have different needs, in practice-even when a sectoral approach is applied-the diverse CCAP are not adequately differentiated, and the various types of users within a sector are not further distinguished (Swart et al 2017). The fundamental problems on the user side are frequently considered to be a lack of climate literacy, interest, or skills to utilize the available information (Christel et al 2018;Harjanne 2017;WMO 2014). Since perception, motivation, trust, and/or preferences may vary substantially-depending on whether the user is a climate impacts researcher, consultant engineer, business manager, or policy maker-more empirical studies are needed that systematically evaluate the extent to which climate services really meet the needs of the targeted users, and how social, cognitive, and behavioral processes influence the use of climate services in decision-making.…”

Section: B Scrutinizing the Use Of Climate Informationmentioning

confidence: 99%

“…For example, Webber (2017) identified inherit tensions in the commercialized ''service'' model, including contradictions between ''objective'' and ''entrepreneurial'' science and a focus on competition and circulating CCAP at the expense of collaborative relationships. The latter is particularly adverse since the quality of interaction between producers and users critically affects the success of CCAS Christel et al 2018;Feldman and Ingram 2009). Yet, with few exceptions, neither the effectiveness of user engagement methods nor the actual usefulness of the resulting portals is systematically evaluated in most portal development projects, neither during nor after their implementation (Swart et al 2017).…”

Section: B Scrutinizing the Use Of Climate Informationmentioning

confidence: 99%

“…Likewise, the study of different engagement categories yielded useful recommendations for improving services by better linking information with decision-making (Hewitt et al 2017c). Valuable insights into the design of services were gained by developing a climate service prototype together with potential users, applying different engagement methods and deploying various communication channels (Christel et al 2018). These studies advance the quality, usability, and applicability of CCAP, but simultaneous efforts are needed to increase the diversification of expertise and social learning in the service development.…”

Section: B Scrutinizing the Use Of Climate Informationmentioning

confidence: 99%

“…Scientific studies have highlighted barriers between producers and users of climate information (Moser and Ekstrom 2010;Dilling and Lemos 2011;Lemos et al 2012;Biesbroek et al 2013;McNie 2013), while climate service prototypes have been developed and analyzed to distill lessons learnt (Brasseur and Gallardo 2016;Buontempo et al 2018). The scope, content, and design of climate services have been analyzed (Lourenço et al 2016;Swart et al 2017;Christel et al 2018) as have specific products, such as seasonal climate forecasts (Bruno Soares and Dessai 2016), scenario platforms (Sigel et al 2016), or web-based climate applications (Brown and Bachelet 2017). There are also numerous studies of specific countries (Goosen et al 2014;Görransson and Rummukainen 2014;Máñez et al 2014;Haque et al 2017;Kundzewicz et al 2017;Vincent et al 2017), actors (André et al 2017;Wilk et al 2017), and sectors (U.S. Government Accountability Office 2015; Hauge et al 2017;Buontempo and Hewitt 2018) in contrast to the limited number of analyses covering institutional and governance aspects (Biagini et al 2014;Hakelberg 2014;Oberlack 2017).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Evolving Climate Services into Knowledge–Action Systems

Weichselgartner

Arheimer

2019

Weather, Climate, and Society

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The current landscape of climate services represents a highly diverse and still growing range of programs, projects, and portals involved in developing and/or providing climate services at different administrative levels and spatial-temporal scales. The diversity of service producers, users, and policy arenas has created a highly heterogeneous data-and information-oriented service landscape, and the authors contend that the domain of climate services requires efforts toward agreed structures and forms of conceptualization, operationalization, and evaluation. It is proposed here that qualitative classification be applied into climate change adaptation products, services, and systems to better guide research, policy, and practice with a clear terminology and analysis framework. This differentiation allows the pinpointing of critical challenges associated with the production and application of climate-relevant information, as well as the identification of suitable metrics to assess the impact of climate services. The article concludes with recommendations to advance climate services into knowledge-action systems and increase their sustainability.

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A skilful seasonal prediction for wintertime rainfall in southern Thailand

Dong

Wang

Gong

et al. 2022

Intl Journal of Climatology

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Year-to-year variations of southern Thailand rainfall (STR) in boreal winter exert profound social and economic impacts, whereas current multimodel ensemble prediction systems have low skills to predict the STR. This study proposes a physical-based seasonal prediction model for the winter STR 1 month in advance using the outputs from the dynamic models. The prediction model is constructed using linear regression, with the tropical western Pacific (TWP) sea surface temperature (SST) anomaly in preceding October as a predictor. Its prediction skill in the leave-five-out cross-validation is significantly higher than that of the multimodel ensemble mean. The mechanism behind this model is also discussed. In October, the warm TWP SST anomalies can trigger anomalous low-level convergence surrounding the South China Sea in terms of the Matsuno-Gill mechanism and persist into the following winter, causing abovethan-normal STR. This information is essential and may provide another perspective to improve the model prediction on the winter STR.

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Introducing design in the development of effective climate services

Cited by 69 publications

References 31 publications

Towards a Traceable Climate Service: Assessment of Quality and Usability of Essential Climate Variables

Towards a Traceable Climate Service: Assessment of Quality and Usability of Essential Climate Variables

Evolving Climate Services into Knowledge–Action Systems

A skilful seasonal prediction for wintertime rainfall in southern Thailand

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