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Publication
Featured researches published by Christopher C. Landry.
Proceedings of the National Academy of Sciences of the United States of America | 2010
Thomas H. Painter; Jeffrey S. Deems; Jayne Belnap; Alan F. Hamlet; Christopher C. Landry; Bradley Udall
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.
Water Resources Research | 2012
S. McKenzie Skiles; Thomas H. Painter; Jeffrey S. Deems; Ann C. Bryant; Christopher C. Landry
forcing ranged from 0 to 214 W m � 2 , with hourly peaks up to 409 W m � 2 . Mean springtime dust radiative forcings across the period ranged from 31 to 49 W m � 2 at the alpine site and 45 to 75 W m � 2 at the subalpine site, in turn shortening snow cover duration by 21 to 51 days. The dust-advanced loss of snow cover (days) is linearly related to total dust concentration at the end of snow cover, despite temporal variability in dust exposure and solar irradiance. Under clean snow conditions, the temperature increases shorten snow cover by 5–18 days, whereas in the presence of dust they only shorten snow duration by 0–6 days. Dust radiative forcing also causes faster and earlier peak snowmelt outflow with daily mean snowpack outflow doubling under the heaviest dust conditions. On average, snow cover at the towers is lost 2.5 days after peak outflow in dusty conditions, and 1–2 weeks after peak outflow in clean conditions.
Geophysical Research Letters | 2007
Thomas H. Painter; Andrew P. Barrett; Christopher C. Landry; Jason C. Neff; M. P. Cassidy; Corey R. Lawrence; Kathleen E. McBride; G. Lang Farmer
Water Resources Research | 2012
Thomas H. Painter; S. McKenzie Skiles; Jeffrey S. Deems; Ann C. Bryant; Christopher C. Landry
Journal of Geophysical Research | 2010
Corey R. Lawrence; Thomas H. Painter; Christopher C. Landry; Jason C. Neff
Water Resources Research | 2013
Mark S. Raleigh; Christopher C. Landry; Masaki Hayashi; William L. Quinton; Jessica D. Lundquist
Water Resources Research | 2012
S. McKenzie Skiles; Thomas H. Painter; Jeffrey S. Deems; Ann C. Bryant; Christopher C. Landry
Archive | 2005
Thomas H. Painter; Andrew P. Barrett; Christopher C. Landry; Jason C. Neff
Water Resources Research | 2012
Thomas H. Painter; S. McKenzie Skiles; Jeffrey S. Deems; Ann C. Bryant; Christopher C. Landry
Archive | 2007
Christopher C. Landry; Thomas H. Painter; Andrew P. Barrett; M. P. Cassidy
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Cooperative Institute for Research in Environmental Sciences
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