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Response of Colorado River runoff to dust radiative forcing in snow

Author:
Painter, Thomas H., Deems, Jeffrey S., Belnap, Jayne, Hamlet, Alan F., Landry, Christopher C., Udall, Bradley
Source:
Proceedings of the National Academy of Sciences of the United States of America 2010 v.107 no.40 pp. 17125-17130
ISSN:
0027-8424
Subject:
anthropogenic activities, basins, climate change, climate models, deserts, disturbed soils, evapotranspiration, rivers, runoff, snow, snowpack, vegetation, watersheds, Arizona, Colorado River
Abstract:
The waters of the Colorado River serve 27 million people in seven states and two countries but are overallocated by more than 10% of the river's historical mean. Climate models project runoff losses of 7-20% from the basin in this century due to human-induced climate change. Recent work has shown however that by the late 1800s, decades prior to allocation of the river's runoff in the 1920s, a fivefold increase in dust loading from anthropogenically disturbed soils in the southwest United States was already decreasing snow albedo and shortening the duration of snow cover by several weeks. The degree to which this increase in radiative forcing by dust in snow has affected timing and magnitude of runoff from the Upper Colorado River Basin (UCRB) is unknown. Here we use the Variable Infiltration Capacity model with postdisturbance and predisturbance impacts of dust on albedo to estimate the impact on runoff from the UCRB across 1916-2003. We find that peak runoff at Lees Ferry, Arizona has occurred on average 3 wk earlier under heavier dust loading and that increases in evapotranspiration from earlier exposure of vegetation and soils decreases annual runoff by more than 1.0 billion cubic meters or ~5% of the annual average. The potential to reduce dust loading through surface stabilization in the deserts and restore more persistent snow cover, slow runoff, and increase water resources in the UCRB may represent an important mitigation opportunity to reduce system management tensions and regional impacts of climate change.
Agid:
2370421