Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Jeffrey S. Deems is active.

Publication


Featured researches published by Jeffrey S. Deems.


Proceedings of the National Academy of Sciences of the United States of America | 2010

Response of Colorado River runoff to dust radiative forcing in snow

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.


Geophysical Research Letters | 2017

Variation in Rising Limb of Colorado River Snowmelt Runoff Hydrograph Controlled by Dust Radiative Forcing in Snow

Thomas H. Painter; S. McKenzie Skiles; Jeffrey S. Deems; W. Tyler Brandt; Jeff Dozier

Author(s): Painter, TH; Skiles, SMK; Deems, JS; Brandt, WT; Dozier, J | Abstract: ©2017. American Geophysical Union. All Rights Reserved. Common practice and conventional wisdom hold that fluctuations in air temperature control interannual variability in snowmelt and subsequent river runoff. However, recent observations in the Upper Colorado River Basin confirm that net solar radiation and by extension radiative forcing by dust deposited on snow cover exerts the primary forcing on snowmelt. We show that the variation in the shape of the rising limb of the annual hydrograph is controlled by variability in dust radiative forcing and surprisingly is independent of variations in winter and spring air temperatures. These observations suggest that hydroclimatic modeling must be improved to account for aerosol forcings of the water cycle. Anthropogenic climate change will likely reduce total snow accumulations and cause snowmelt runoff to occur earlier. However, dust radiative forcing of snowmelt is likely consuming important adaptive capacity that would allow human and natural systems to be more resilient to changing hydroclimatic conditions.


international geoscience and remote sensing symposium | 2017

Mapping snow-depth using KA-band InSAR: Calibration and validation during SnowEx

Delwyn Moller; Scott Hensley; Kat J. Bormann; Jeffrey S. Deems; Konstantinos M. Andreadis; Thomas H. Painter

This paper discusses the evaluation of a state-of-the-art Ka-band (35.7GHz) single-pass interferometric synthetic aperture radar (InSAR) for snow-depth mapping during the NASA SnowEx experiment. The use of InSAR for this application presents a new approach and potential alternate technology to lidar with the advantage of wide-swath operation that is not hampered by cloud cover. We discuss the plans to leverage SnowEx for calibration, in particular characterizing potential biases due to interferometric penetration into the snow-cover by comparison with lidar and in situ measurements. In addition, lidar from the Airborne Snow Observatory will be used for validation of tree classifications and the derived digital surface models and snow-depth maps.


Climatic Change | 2010

Implications of 21st century climate change for the hydrology of Washington State

Marketa McGuire Elsner; Lan Cuo; Nathalie Voisin; Jeffrey S. Deems; Alan F. Hamlet; Julie A. Vano; Kristian E. B. Mickelson; Se-Yeun Lee; Dennis P. Lettenmaier


Journal of Glaciology | 2013

Lidar measurement of snow depth: a review

Jeffrey S. Deems; Thomas H. Painter; D. C. Finnegan


Remote Sensing of Environment | 2016

The Airborne Snow Observatory: Fusion of scanning lidar, imaging spectrometer, and physically-based modeling for mapping snow water equivalent and snow albedo

Thomas H. Painter; Daniel F. Berisford; Joseph W. Boardman; Kathryn J. Bormann; Jeffrey S. Deems; Frank Gehrke; Andrew Hedrick; Michael J. Joyce; Ross Laidlaw; Danny Marks; Chris A. Mattmann; Bruce McGurk; Paul M. Ramirez; Megan Richardson; S. McKenzie Skiles; Felix C. Seidel; Adam Winstral


Remote Sensing of Environment | 2016

Beyond 3-D: The new spectrum of lidar applications for earth and ecological sciences

Jan U.H. Eitel; Bernhard Höfle; Lee A. Vierling; Antonio Abellán; Gregory P. Asner; Jeffrey S. Deems; Craig L. Glennie; Philip Claudio Joerg; Adam LeWinter; Troy S. Magney; Gottfried Mandlburger; Douglas C. Morton; Jörg Müller; Kerri T. Vierling


Hydrology and Earth System Sciences | 2013

Combined impacts of current and future dust deposition and regional warming on Colorado River Basin snow dynamics and hydrology

Jeffrey S. Deems; Thomas H. Painter; Joseph J. Barsugli; Jayne Belnap; Bradley Udall


Journal of Hydrology | 2015

Catchment response to bark beetle outbreak and dust-on-snow in the Colorado Rocky Mountains

Ben Livneh; Jeffrey S. Deems; Brian Buma; Joseph J. Barsugli; Dominik Schneider; Katinka Wolter; Carol A. Wessman


Cold Regions Science and Technology | 2015

Mapping starting zone snow depth with a ground-based lidar to assist avalanche control and forecasting

Jeffrey S. Deems; Peter J. Gadomski; Dominic Vellone; Ryan Evanczyk; Adam LeWinter; Karl W. Birkeland; D. C. Finnegan

Collaboration


Dive into the Jeffrey S. Deems's collaboration.

Top Co-Authors

Avatar

Thomas H. Painter

California Institute of Technology

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

D. C. Finnegan

Cold Regions Research and Engineering Laboratory

View shared research outputs
Top Co-Authors

Avatar

Alan F. Hamlet

University of Notre Dame

View shared research outputs
Top Co-Authors

Avatar

Adam LeWinter

Cold Regions Research and Engineering Laboratory

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Bradley Udall

University of Colorado Boulder

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Jayne Belnap

United States Geological Survey

View shared research outputs
Top Co-Authors

Avatar

Joseph J. Barsugli

Cooperative Institute for Research in Environmental Sciences

View shared research outputs
Researchain Logo
Decentralizing Knowledge