Lessons from macroscale hydrologic modeling: experience with the hydrologic model SLURP in the Mackenzie Basin

Thorne, Robin, Armstrong, Robert N., Woo, Ming-ko and Martz, Lawrence W. (2008). Lessons from macroscale hydrologic modeling: experience with the hydrologic model SLURP in the Mackenzie Basin. In Ming-ko Woo (Ed.), Cold Region Atmospheric and Hydrologic Studies. The Mackenzie GEWEX Experience: Volume 2: Hydrologic Processes (pp. 397-410) Berlin, Germany: Springer. doi:10.1007/978-3-540-75136-6_21


Author Thorne, Robin
Armstrong, Robert N.
Woo, Ming-ko
Martz, Lawrence W.
Title of chapter Lessons from macroscale hydrologic modeling: experience with the hydrologic model SLURP in the Mackenzie Basin
Title of book Cold Region Atmospheric and Hydrologic Studies. The Mackenzie GEWEX Experience: Volume 2: Hydrologic Processes
Place of Publication Berlin, Germany
Publisher Springer
Publication Year 2008
Sub-type Research book chapter (original research)
DOI 10.1007/978-3-540-75136-6_21
ISBN 9783540751366
Editor Ming-ko Woo
Volume number 2
Chapter number 21
Start page 397
End page 410
Total pages 14
Total chapters 25
Abstract/Summary Macroscale models are used increasingly in hydrology to simulate regional responses to external forcing, to evaluate large basin management strategies, and to extend hydrologic data sets. The hydrologic model SLURP (Semidistributed Land Use-based Runoff Processes) is a semi-distributed model that has been successfully applied to basins of various sizes, notably those in cold regions. The SLURP manual provides explanations of computational algorithms, sets of commonly applicable parameter values, and computational steps required to run the model. Although the manual offers much information, users can benefit from additional information on certain procedures in order to operate the model successfully. Tn this chapter we share our experiences in operating this model, including the preparation of input data, initialization of variables, optimization of parameters, and validation of model results. We suggest that the lessons learned from the use of SLURP can be applied to other macroscale hydrologic models.
Q-Index Code B1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Book Chapter
Collection: Queensland Alliance for Agriculture and Food Innovation
 
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Created: Thu, 09 Jun 2016, 22:08:39 EST by Robert Armstrong on behalf of Centre for Plant Science