2009
DOI: 10.1623/hysj.54.6.1053
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Combining the Soil and Water Assessment Tool (SWAT) and MODIS imagery to estimate monthly flows in a data-scarce Chilean Andean basin

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Cited by 42 publications
(26 citation statements)
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“…The model requires information on soils, land use, land management, topography, and climate (Arnold et al 2012). It is designed to calculate the route runoff, sediments, and contaminants from individual drainage units called Hydrologic Response Units (HRUs), throughout a river basin towards its outlet (Stehr et al 2009). …”
Section: The Soil and Water Assessment Tool (Swat)mentioning
confidence: 99%
“…The model requires information on soils, land use, land management, topography, and climate (Arnold et al 2012). It is designed to calculate the route runoff, sediments, and contaminants from individual drainage units called Hydrologic Response Units (HRUs), throughout a river basin towards its outlet (Stehr et al 2009). …”
Section: The Soil and Water Assessment Tool (Swat)mentioning
confidence: 99%
“…In this regard, remote sensing provides a promising opportunity to enhance the assessment and monitoring of the spatial and temporal variability of different variables involved in the precipitation-runoff processes in areas where data availability for hydrological modelling is scarce (Simic et al, 2004;Boegh et al, 2004;Melesse et al, 2007;Montzka et al, 2008;Milzowa et al, 2009, Er-Raki et al, 2010Stehr et al, 2009Stehr et al, , 2010.…”
mentioning
confidence: 99%
“…This finding seems a contradiction of the idea that shallow snowpacks such as those observed in the region should have a low thermal inertia. By comparison, Stehr et al (2009) obtained a value of zero for θ S after calibrating the SWAT model in a snowmelt-fed catchment of the more humid central Chile (38 • S). One possible explanation for this apparent contradiction is that mean daily temperatures in northerncentral Chile are rarely negative at low and mid elevations (< 4000 m a.s.l.).…”
Section: Snow Accumulation and Ablationmentioning
confidence: 99%