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On the dialog between experimentalist and modeler in catchment hydrology

use of soft data for multicriteria model calibration

Seibert, Jan and McDonnell, Jeffrey J. (2002). On the dialog between experimentalist and modeler in catchment hydrology. Water resources research. 38:11, 1-14
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Official URL: http://www.agu.org/pubs/crossref/2002/2001WR000978...

Abstract

The dialog between experimentalist and modeler in catchment hydrology has been minimal to date. The experimentalist often has a highly detailed yet highly qualitative understanding of dominant runoff processes—thus there is often much more information content on the catchment than we use for calibration of a model. While modelers often appreciate the need for 'hard data' for the model calibration process, there has been little thought given to how modelers might access this 'soft' or process knowledge. We present a new method where soft data (i.e., qualitative knowledge from the experimentalist that cannot be used directly as exact numbers) are made useful through fuzzy measures of model-simulation and parameter-value acceptability. We developed a three-box lumped conceptual model for the Maimai catchment in New Zealand, a particularly well-studied process-hydrological research catchment. The boxes represent the key hydrological reservoirs that are known to have distinct groundwater dynamics, isotopic composition and solute chemistry. The model was calibrated against hard data (runoff and groundwater-levels) as well as a number of criteria derived from the soft data (e.g. percent new water, reservoir volume, etc). We achieved very good fits for the three-box model when optimizing the parameter values with only runoff (Reff=0.93). However, parameter sets obtained in this way showed in general a poor goodness-of-fit for other criteria such as the simulated new-water contributions to peak runoff. Inclusion of soft-data criteria in the model calibration process resulted in lower Reff-values (around 0.84 when including all criteria) but led to better overall performance, as interpreted by the experimentalist’s view of catchment runoff dynamics. The model performance with respect to soft data (like, for instance, the new water ratio) increased significantly and parameter uncertainty was reduced by 60% on average with the introduction of the soft data multi-criteria calibration. We argue that accepting lower model efficiencies for runoff is 'worth it' if one can develop a more 'real' model of catchment behavior. The use of soft data is an approach to formalize this exchange between experimentalist and modeler and to more fully utilize the information content from experimental catchments.

Authors/Creators:Seibert, Jan and McDonnell, Jeffrey J.
Title:On the dialog between experimentalist and modeler in catchment hydrology
Subtitle:use of soft data for multicriteria model calibration
Series/Journal:Water resources research (0043-1397)
Year of publishing :2002
Volume:38
Number:11
Page range:1-14
Publisher:American Geophysical Union
ISSN:0043-1397
Language:English
Additional Information:The original publication is available at: http://www.agu.org/journals/wr/
Publication Type:Journal article
Refereed:Yes
Full Text Status:Public
Subjects:Obsolete subject words > NATURAL SCIENCES
Keywords:Soft data, Calibration, Catchment modelling
URN:NBN:urn:nbn:se:slu:epsilon-1-28
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-1-28
ID Code:3216
Department:(NL, NJ) > Dept. of Environmental Assessment
Deposited By: Jan Seibert
Deposited On:09 May 2008 00:00
Metadata Last Modified:02 Dec 2014 10:19

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