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Improving Regional Climate Projections by Prioritized Aggregation via Ordered Weighted Averaging Operators

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Improving Regional Climate Projections by Prioritized Aggregation via Ordered Weighted Averaging Operators

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Llopis Albert, C.; Merigó-Lindahl, JM.; Xu, Y.; Liao, H. (2017). Improving Regional Climate Projections by Prioritized Aggregation via Ordered Weighted Averaging Operators. Environmental Engineering Science. 34(12):880-886. doi:10.1089/ees.2016.0546

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/101916

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Title: Improving Regional Climate Projections by Prioritized Aggregation via Ordered Weighted Averaging Operators
Author: Llopis Albert, Carlos Merigó-Lindahl, José María Xu, Yejun Liao, Huchang
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Mecánica y de Materiales - Departament d'Enginyeria Mecànica i de Materials
Issued date:
Embargo end date: 2018-12-01
Abstract:
[EN] Decision makers express a strong need for reliable information on future climate changes to develop with the best mitigation and adaptation strategies to address impacts. These decisions are based on future climate ...[+]
Subjects: Aggregation , Climate change , Decision making , General Circulation Models , OWA operators , Representative Concentration Pathways , Risk , Stakeholders , Uncertainty
Copyrigths: Reserva de todos los derechos
Source:
Environmental Engineering Science. (issn: 1092-8758 )
DOI: 10.1089/ees.2016.0546
Publisher:
Mary Ann Liebert
Publisher version: https://doi.org/10.1089/ees.2016.0546
Type: Artículo

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