Macquarie Home | Course Handbook | Library | Campus Map | Macquarie Contacts
Home page

Macquarie University ResearchOnline

Home
Add
-List Of Titles -Calibrating a land surface model of varying complexity using multi-criteria methods and the Cabauw data set

Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/26912

OpenURL Link
60 Visitors 66 Hits 0 Downloads
Title
Calibrating a land surface model of varying complexity using multi-criteria methods and the Cabauw data set
Related
Journal of hydrometeorology, Vol. 3, Issue 2, p.181-194
DOI
10.1175/1525-7541(2002)003<0181:CALSMO>2.0.CO;2
Publisher
American Meteorological Society
Date
2002
Author/Creator
Xia, Y
Author/Creator
Pitman, A. J
Author/Creator
Gupta, H. V
Author/Creator
Leplastrier, M
Author/Creator
Henderson-Sellers, A
Author/Creator
Bastidas, L. A
Description
The multicriteria methodology, which provides a means to estimate optimal ranges for land surface model parameter values via calibration, is evaluated. Following calibration, differences between schemes resulting from effective parameter values can be isolated from differences resulting from scheme structure or scheme parameterizations. The method is applied to the Project for the Intercomparison of Land Surface Parameterization Schemes (PILPS) phase-2a data from the Cabauw site in the Netherlands using the Chameleon Surface Model (CHASM) as the surrogate for a range of land surface schemes. Simulations are performed calibrating six modes of CHASM, representing a range of land surface complexity, against observed net radiation and latent and sensible heat fluxes. The six modes range from a simple bucket model to a complex mosaic-type structure with separate energy balances for each mosaic tile and explicit treatment of transpiration, canopy interception, and bare-ground evaporation. Results demonstrate that the performance of CHASM depends on the complexity of the representation of the surface energy balance. If the multicriteria method is used with two observed variables, the performance of the model improves little with incremental increases in complexity until the most complex version of the model is reached. If the multicriteria method is used with three observed variables, the most complex mode is shown to calibrate more accurately and more precisely than the simple modes. In all cases, every calibrated mode performs better than simulations using the default PILPS phase-2a parameters. The performance of the most complex mode of CHASM suggests that more complex representations of the surface energy balance generally improve the calibrated performance of land surface schemes. However, all modes, when calibrated, retain a residual error that most likely is due to parameterization errors included in the scheme. Most error is contained in the simulation of the latent heat flux, which suggests that, to improve CHASM further, the representation of the surface hydrological processes should be developed. Thus, the multicriteria method provides a means to assess the performance of a single model or group of land surface models and provides guidance as to the directions scheme development should take.
Description
14 page(s)
Resource Type
journal article
Organisation
Macquarie University. Dept. of Physical Geography

Identifier
http://hdl.handle.net/1959.14/26912
Identifier
ISSN:1525-7541
Identifier
mq-rm-2002014625
Language
eng
Reviewed
Reviewed
Save/E-mail Citation
Citation Format
E-mail Address
Subject
"Journal of hydrometeorology"
 
OR
  • Show All  
  • Show My Selections 
Advanced Search

Search

Browse

  • By Title 
  • By Author/Creator 
  • By Department/Centre 
  • By Subject Keyword 
  • By Journal/Conference 
  • By FoR/RFCD codes 
  • By Resource Type 
  • By Date 

Highlights

  • Most Accessed Objects 
  • Recent Additions 
  • Pending Publications 
  • Author Profiles 

Resources

  • About ResearchOnline 
  • FAQ 
  • Open Access 
  • Open Access-FAQs 
  • Copyright 
  • Contribute 
  • Help 
  • Contact
  • Terms and Conditions 
Valid XHTML 1.0 Strict Powered by VITAL

Copyright Macquarie University | Privacy Statement | Accessibility Information

ABN 90 952 801 237 | CRICOS Provider No 00002J

Library Staff Sign In