2013
DOI: 10.5194/hess-17-4401-2013
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Combined impacts of current and future dust deposition and regional warming on Colorado River Basin snow dynamics and hydrology

Abstract: Abstract. The Colorado River provides water to 40 million people in seven western states and two countries and to 5.5 million irrigated acres. The river has long been overallocated. Climate models project runoff losses of 5-20 % from the basin by mid-21st century due to human-induced climate change. Recent work has shown that decreased snow albedo from anthropogenic dust loading to the CO mountains shortens the duration of snow cover by several weeks relative to conditions prior to western expansion of the US … Show more

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Cited by 59 publications
(54 citation statements)
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References 39 publications
(58 reference statements)
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“…The full basin-scale modeling studies suggest decreasing annual water yield with increasing dust due to increased evaporative losses. Deems et al (2013) suggest that dust-on-snow impacts may be further exacerbated by projected climate change. Unlike BB impacts, which are restricted to specific forest stands, dust-on-snow impacts are more spatially widespread.…”
Section: Dust-on-snowmentioning
confidence: 97%
“…The full basin-scale modeling studies suggest decreasing annual water yield with increasing dust due to increased evaporative losses. Deems et al (2013) suggest that dust-on-snow impacts may be further exacerbated by projected climate change. Unlike BB impacts, which are restricted to specific forest stands, dust-on-snow impacts are more spatially widespread.…”
Section: Dust-on-snowmentioning
confidence: 97%
“…This requires a priori knowledge of spectral absorption and scattering coefficients of ice, which have been well known since the 1980s (Warren, 1982) and recently updated (Warren and Brandt, 2008;. The effects of impurities have been studied many times with particular emphasis on black carbon and certain mineral dusts (Deems et al, 2013;Kaspari et al, 2014;. Aoki et al (2013) and Cook et al (2017) have attempted to incorporate biological impurities into radiative transfer schemes.…”
Section: Radiative Transfer Modellingmentioning
confidence: 99%
“…Physically based models allow researchers to test hypotheses about the role of specific processes in hydrologic systems and how changes in environment (e.g., climate, land cover) may impact key hydrologic fluxes and states (Barnett et al, 2008;Deems et al, 2013;Leavesley, 1994;Clark et al, 2011b). Due to the complexity of processes represented, these models usually require numerous meteorological forcing inputs and model parameters.…”
Section: Introductionmentioning
confidence: 99%