Mostra el registre d'ítem simple

dc.contributor.authorBojovic, Dragana
dc.contributor.authorNicodemou, Andria
dc.contributor.authorLera St.Clair, Asun
dc.contributor.authorChristel, Isadora
dc.contributor.authorDoblas-Reyes, Francisco
dc.contributor.otherBarcelona Supercomputing Center
dc.date.accessioned2022-05-18T10:04:34Z
dc.date.available2022-05-18T10:04:34Z
dc.date.issued2022-05
dc.identifier.citationBojovic, D. [et al.]. Exploring the landscape of seasonal forecast provision by Global Producing Centres. "Climatic Change", Maig 2022, vol. 172, núm. 8.
dc.identifier.issn0165-0009
dc.identifier.issn1573-1480
dc.identifier.otherhttps://rdcu.be/cNOuV
dc.identifier.urihttp://hdl.handle.net/2117/367477
dc.description.abstractDespite the growing demand for seasonal climate forecasts, there is limited understanding of the landscape of organisations providing this critically important climate information. This study attempts to fill this gap by presenting results from an in-depth dialogue with the organisations entrusted with the provision of seasonal forecasts by the World Meteorological Organisation, known as the Global Producing Centres for Long-Range Forecasts (GPCs-LRF). The results provide an overview and detailed description of the organisational setup, mandate, target audience of GPCs-LRF and their interactions with other centres. Looking beyond the GPCs-LRF to other centres providing seasonal forecasts, some of which have been rapidly taking prominent places in this landscape, revealed a heterogeneous and still maturing community of practice, with an increasing number of players and emerging efforts to produce multi-model ensemble forecasts. The dialogues pointed at the need to not only improve climate models and produce more skilful climate forecasts, but also to improve the transformation of the forecasts into useful and usable products. Finally, using the lenses of credibility, salience and legitimacy, we explore ways to bridge the fragmentation of the information offered across the organisations considered and the people involved in the delivery and use of seasonal forecasts. The paper concludes by suggesting ways to address the boundary crossing between science, policy and society in the context of seasonal climate prediction.
dc.description.sponsorshipWe would like to thank all the study participants for their valuable contributions and feedback to the paper, and Diana Urquiza for designing the figure. An earlier version of this paper was presented in the workshop “Quality of Climate Information for Adaptation” in October 2020. This research has been supported by the EU H2020 project FOCUS-Africa (GA 869575).
dc.format.extent23 p.
dc.language.isoeng
dc.publisherSpringer
dc.rightsAttribution 3.0 Spain
dc.rightsAttribution 4.0 International (CC BY 4.0)
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectÀrees temàtiques de la UPC::Enginyeria agroalimentària::Ciències de la terra i de la vida::Climatologia i meteorologia
dc.subject.lcshWorld Meteorological Organisation
dc.subject.lcshClimate science
dc.subject.lcshClimatic changes--Government policy.
dc.subject.otherGPC
dc.subject.otherLong-range forecast
dc.subject.otherBest practices
dc.subject.otherScience-policy-society
dc.titleExploring the landscape of seasonal forecast provision by Global Producing Centres
dc.typeArticle
dc.subject.lemacSimulació per ordinador
dc.identifier.doi10.1007/s10584-022-03350-x
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://link.springer.com/article/10.1007/s10584-022-03350-x
dc.rights.accessOpen Access
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/869575/EU/Full-value chain Optimised Climate User-centric Services for Southern Africa: FOCUS-Africa/FOCUS-Africa
local.citation.publicationNameClimatic Change
local.citation.volume172
local.citation.number8


Fitxers d'aquest items

Thumbnail

Aquest ítem apareix a les col·leccions següents

Mostra el registre d'ítem simple