2013
DOI: 10.1007/s10113-013-0534-3
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Climate change impact on countrywide water balance in Bolivia

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Cited by 24 publications
(22 citation statements)
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“…For instance, modeling and analysis of future water scarcity in Andean regions affected by shrinking glaciers need to consider human variables to realistically simulate future paths of key drivers and relevant factors that determine water use, allocation and regulations (e.g. Caballero et al, 2004;Escurra et al, 2014;Nazemi and Wheater, 2015). In the framework of efforts by the IPCC, researchers in recent years have begun to develop a new scenario framework with a more comprehensive set of global and regional scenarios (Moss et al, 2010;Nakicenovic et al, 2014).…”
Section: Adaptation Challenges and Constraintsmentioning
confidence: 99%
“…For instance, modeling and analysis of future water scarcity in Andean regions affected by shrinking glaciers need to consider human variables to realistically simulate future paths of key drivers and relevant factors that determine water use, allocation and regulations (e.g. Caballero et al, 2004;Escurra et al, 2014;Nazemi and Wheater, 2015). In the framework of efforts by the IPCC, researchers in recent years have begun to develop a new scenario framework with a more comprehensive set of global and regional scenarios (Moss et al, 2010;Nakicenovic et al, 2014).…”
Section: Adaptation Challenges and Constraintsmentioning
confidence: 99%
“…Water rationing was established for the first time ever in La Paz, affecting one-third of the population and probably more in fast-growing El Alto, the poorest city of Bolivia. The three main reservoirs that provide the city's water were almost dry by (Soruco et al 2015;Escurra et al 2014).…”
Section: (Ii) Precipitationmentioning
confidence: 99%
“…There are seven climate stations, such as Chopta Valley (at SB1), Thangu (at SB2), Muguthang (at SB3), Lachen (at SB4), Yumthang (at SB5), Lachung (at SB6), and Chungthang (at SB7), that were defined to project the local-scale changes associated with temperature and precipitation. Then, the gridded and measured precipitation and temperature data sets were adjusted at each SB (at different point locations) by calculating the TLR and precipitation lapse rate (PLR) (Singh and Goyal 2016a;Escurrat et al 2014;Gardner et al 2009). The TLR and PLR are calculated from CARTOSAT DEM, which was downloaded from BHUWAN portal.…”
Section: Spatial Interpolation and Climate Downscaling Of Hydrometeormentioning
confidence: 99%