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2020
DOI: 10.5194/hess-24-5297-2020
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Risk assessment in water resources planning under climate change at the Júcar River basin

Abstract: Abstract. Climate change and its possible effects on water resources has become an increasingly near threat. Therefore, the study of these impacts in highly regulated systems and those suffering extreme events is essential to deal with them effectively. This study responds to the need for an effective method to integrate climate change projections into water planning and management analysis in order to guide the decision-making, taking into account drought risk assessments. Therefore, this document presents a … Show more

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Cited by 12 publications
(16 citation statements)
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References 43 publications
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“…In this work, the ANTILOPE quantitative precipitation estimates (QPEs) are used for precipitation estimation (Champeaux et al, 2009). The ANTILOPE QPEs are based on a fusion between the radar data provided by the operational radar network ARAMIS (Tabary, 2007) and the measurements at rain gauges, spatialized by the kriging method. ANTILOPE QPEs are available at hourly time step and 1 km × 1 km resolution.…”
Section: The Studied Eventsmentioning
confidence: 99%
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“…In this work, the ANTILOPE quantitative precipitation estimates (QPEs) are used for precipitation estimation (Champeaux et al, 2009). The ANTILOPE QPEs are based on a fusion between the radar data provided by the operational radar network ARAMIS (Tabary, 2007) and the measurements at rain gauges, spatialized by the kriging method. ANTILOPE QPEs are available at hourly time step and 1 km × 1 km resolution.…”
Section: The Studied Eventsmentioning
confidence: 99%
“…The risk associated with flash flood events is of growing importance, in particular in the Mediterranean area (Payrastre et al, 2011;Ruin et al, 2014;Suárez-Almiñana et al, 2020). Extreme precipitation events are expected to increase both in frequency and amplitude in the context of a changing climate (IPCC, 2014).…”
Section: Introductionmentioning
confidence: 99%
“…Para obtener las aportaciones futuras, en este caso se utilizaron las tasas medias de cambio de aportaciones obtenidas por Suárez-Almiñana et al, (2020b), procedentes del desarrollo de una metodología de integración de proyecciones climáticas para la planificación hidrológica. En el citado estudio, se trabajó con la media del ensamblado compuesto por 9 Modelos Climáticos Regionales pertenecientes a las Sendas Representativas de Concentración (SRC) 4.5 y 8.5, ya que según lo acordado en la cumbre de cambio climático de París de 2015, la SRC más probable es un escenario intermedio entre estos dos, la SRC 6.0 (Barranco et al, 2018;Suárez-Almiñana et al, 2020a;2020b). Por lo tanto, estas tasas medias proceden de la corrección del sesgo de las aportaciones futuras (procedentes de un modelo hidrológico) y su comparación con las del periodo histórico , extrayendo así las tasas medias de cambio para cada horizonte.…”
Section: Datos De Entrada Del Modelo Rreaunclassified
“…provenientes de proyecciones climáticas relacionadas con los recursos hídricos a nivel europeo. Estos datos también se presentan en tasas de cambio por horizonte futuro (diferenciando entre la media del ensamblado o SRC) y comparten origen con las proyecciones climáticas utilizadas para la extracción de las tasas de cambio aplicadas a las aportaciones en este estudio (Suárez-Almiñana et al, 2020b).…”
Section: Datos De Entrada Del Modelo Rreaunclassified
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