Fecha/hora: 11/06/2024 00:58:51

Biblioteca(s): 	INIA Las Brujas.	
Fecha corriente: 	23/11/2016	
Fecha de la última actualización: 	24/06/2021	
Autoria: 	ROBERTSON, A. W.; BAETHGEN, W.; BLOCK, P.; LALL, U.; SANKARASUBRAMANIAN, A.; DE ASIS DE SOUZA FILHO, F.; VERBIST, K. M. J.	
Afiliación: 	ANDREW W. ROBERTSON, International Research Institute for Climate and Society (IRI), Columbia University, USA; WALTER BAETHGEN, International Research Institute for Climate and Society (IRI), Columbia University, USA; PAUL BLOCK, Department of Civil & Environmental Engineering, University of Wisconsin, USA; UPMANU LALL, Dept. of Earth & Environmental Engineering, Columbia University, USA; ARUMUGAM SANKARASUBRAMANIAN, Dept. of Civil, Construction & Environmental Engineering, North Carolina State University, USA; FRANCISCO DE ASSIS DE SOUZA FILHO, Dept. of Hydrology, Federal University of Ceará, Brazil; KOEN M. J. VERBIST, UNESCO-IHP, Hydrological Systems and Global Change section; International Centre for Eremology, Department of Soil Management, Ghent University.	
Título: 	Climate risk management for water in semi arid regions.	
Complemento del título: 	Research article.	
Año de publicación: 	2014	
Fuente/Imprenta: 	Earth Perspectives, Transdisciplinarity Enabled 2014, v. 1, p. 12.	
DOI: 	10.1186/2194-6434-1-12	
Idioma: 	Inglés	
Notas: 	Received: 1 October 2013 // Accepted: 3 March 2014 // Published: 17 June 2014	
Contenido: 	ABSTRACT.

BACKGROUND: New sources of hydroclimate information based on forecast models and observational data have the potential to greatly improve the management of water resources in semi-arid regions prone to drought. Better management of climate-related risks and opportunities requires both new methods to develop forecasts of drought indicators and river flow, as well as better strategies to incorporate these forecasts into drought, river or reservoir management systems. In each case the existing institutional and policy context is key, making a collaborative approach involving stakeholders essential.
METHODS: This paper describes work done at the IRI over the past decade to develop statistical hydrologic forecast and water allocation models for the semi arid regions of NE Brazil (the ?Nordeste?) and central northern Chile based on seasonal climate forecasts.
RESULTS: In both locations, downscaled precipitation forecasts based on lagged SST predictors or GCM precipitation forecasts exhibit quite high skill. Spring-summer melt flow in Chile is shown to be highly predictable based on estimates of previous winter precipitation, and moderately predictable up to 6 months in advance using climate forecasts. Retrospective streamflow forecasts here are quite effective in predicting reductions in water rights during dry years. For the multi-use Oros reservoir in NE Brazil, streamflow forecasts have the most potential to optimize water allocations during multi-year low-flow periods, while the potential is higher for smaller reservoirs, relative to demand.
CONCLUSIONS: This work demonstrates the potential value of seasonal climate forecasting as an integral part of drought early warning and for water allocation decision support systems in semi-arid regions. As human demands for water rise over time this potential is certain to rise in the future.

© 2014 Robertson et al.; licensee Springer. 
This is an Open Access article distributed under the terms of the Creative Commons	
Palabras-Clave: 	CLIMATE VARIABILITY; SEASONAL CLIMATE FORECASTS; WATER SCARCITY.	
Thesagro: 	CAMBIO CLIMÁTICO.	
Categoría del tema: 	--	
Registro original: 	INIA Las Brujas (LB)	
Ejemplares: 	LB - (101249-1) - ADD - AP - DD - RBI - LB -  -  - DIS