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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
23/11/2016 |
Actualizado : |
24/06/2021 |
Autor : |
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. |
Fecha 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 MenosABSTRACT.
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 perio... Presentar Todo |
Palabras claves : |
CLIMATE VARIABILITY; SEASONAL CLIMATE FORECASTS; WATER SCARCITY. |
Thesagro : |
CAMBIO CLIMÁTICO. |
Asunto categoría : |
-- |
Marc : |
LEADER 02851naa a2200265 a 4500 001 1056126 005 2021-06-24 008 2014 bl uuuu u00u1 u #d 024 7 $a10.1186/2194-6434-1-12$2DOI 100 1 $aROBERTSON, A. W. 245 $aClimate risk management for water in semi arid regions.$h[electronic resource] 260 $c2014 500 $aReceived: 1 October 2013 // Accepted: 3 March 2014 // Published: 17 June 2014 520 $aABSTRACT. 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 650 $aCAMBIO CLIMÁTICO 653 $aCLIMATE VARIABILITY 653 $aSEASONAL CLIMATE FORECASTS 653 $aWATER SCARCITY 700 1 $aBAETHGEN, W. 700 1 $aBLOCK, P. 700 1 $aLALL, U. 700 1 $aSANKARASUBRAMANIAN, A. 700 1 $aDE ASIS DE SOUZA FILHO, F. 700 1 $aVERBIST, K. M. J. 773 $tEarth Perspectives, Transdisciplinarity Enabled 2014$gv. 1, p. 12.
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INIA Las Brujas (LB) |
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Biblioteca (s) : |
INIA Tacuarembó. |
Fecha actual : |
21/02/2014 |
Actualizado : |
30/10/2019 |
Tipo de producción científica : |
Artículos en Revistas Agropecuarias |
Autor : |
BEMHAJA, M. |
Afiliación : |
MARIA DE LURDES BEMHAJA SARAIVA FERREIRA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Forrajeras de invierno: alternativas para suelos arenosos. |
Fecha de publicación : |
2001 |
Fuente / Imprenta : |
Revista del Plan Agropecuario, 2001, no. 96, p. 36-38 |
Idioma : |
Español |
Contenido : |
Gramíneas forrajeras invernales. Triticale INIA Caracé, Raigrás INIA Cetus e INIA Titan. Triticale. Holcus Lanatus La Magnolia. Otras gramíneas. Leguminosas anuales y perennes. Bajos. Conclusiones. |
Thesagro : |
PLANTAS FORRAJERAS; SUELO ARENOSO. |
Asunto categoría : |
A50 Investigación agraria |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/13673/1/Plan-Agropecuario-96-2001.pdf
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Marc : |
LEADER 00599naa a2200145 a 4500 001 1029171 005 2019-10-30 008 2001 bl uuuu u00u1 u #d 100 1 $aBEMHAJA, M. 245 $aForrajeras de invierno$balternativas para suelos arenosos. 260 $c2001 520 $aGramíneas forrajeras invernales. Triticale INIA Caracé, Raigrás INIA Cetus e INIA Titan. Triticale. Holcus Lanatus La Magnolia. Otras gramíneas. Leguminosas anuales y perennes. Bajos. Conclusiones. 650 $aPLANTAS FORRAJERAS 650 $aSUELO ARENOSO 773 $tRevista del Plan Agropecuario, 2001, no. 96, p. 36-38
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