Research Article

Estimating the spatial distribution of snow water equivalent in an alpine basin using binary regression tree models: the impact of digital elevation data and independent variable selection

  1. N. P. Molotch1,*,
  2. M. T. Colee2,
  3. R. C. Bales3,
  4. J. Dozier2

Article first published online: 22 DEC 2004

DOI: 10.1002/hyp.5586

Issue

Hydrological Processes

Hydrological Processes

Volume 19, Issue 7, pages 1459–1479, 30 April 2005

Additional Information

How to Cite

Molotch, N. P., Colee, M. T., Bales, R. C. and Dozier, J. (2005), Estimating the spatial distribution of snow water equivalent in an alpine basin using binary regression tree models: the impact of digital elevation data and independent variable selection. Hydrol. Process., 19: 1459–1479. doi: 10.1002/hyp.5586

Author Information

  1. 1

    Department of Hydrology and Water Resources, University of Arizona, Tucson, AZ 85721-0011, USA

  2. 2

    Donald Bren School of Environmental Science and Management, University of California, Santa Barbara, CA 85716, USA

  3. 3

    Division of Engineering, University of California, Merced, CA 95344, USA

*The Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado at Boulder, CIRES Building, Room 318 216 UCB, Boulder, CO 80309-0216, USA.

Publication History

  1. Issue published online: 31 MAR 2005
  2. Article first published online: 22 DEC 2004
  3. Manuscript Accepted: 1 FEB 2004
  4. Manuscript Received: 10 OCT 2003

Funded by

  • NASA's EOS Interdisciplinary Investigation on Hydrology, Hydrochemical Modeling, and Remote Sensing in Seasonally Snow-Covered Alpine Drainage Basins. Grant Number: NAG-4514
  • National Science Foundation Center for the Sustainability of semi-Arid Hydrology and Riparian Areas (SAHRA). Grant Number: NSF EAR9876800

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