Improving perceptual and conceptual hydrological models using data from small basins

Hilary McMillan; Martyn Clark; Ross Woods; Maurice Duncan; M. S. Srinivasan; Andrew Western; Dave Goodrich

Improving perceptual and conceptual hydrological models using data from small basins

Hilary McMillan^*, Martyn Clark, Ross Woods, Maurice Duncan, M. S. Srinivasan, Andrew Western, Dave Goodrich

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

2 Citations (Scopus)

Abstract

This paper demonstrates how data from a small experimental basin can be used to evaluate possible structures for a lumped hydrological model. Data collected at the Mahurangi experimental basin in New Zealand includes rainfall, streamflow and multi-depth soil moisture time-series data. We use this data to evaluate possible model representations of the soil zone available in the FUSE modular modelling framework. Upper and lower soil zone architecture choices are tested. The results provide substantial guidance for model structure choice.

Original language	English
Title of host publication	Status of Perspectives of Hydrology in Small Basins
Pages	264-269
Number of pages	6
Publication status	Published - 2010
Event	International Workshop on Status and Perspectives of Hydrology in Small Basins - Goslar-Hahnenklee, Germany Duration: 30 Mar 2009 → 2 Apr 2009

Publication series

Name	IAHS-AISH Publication
Volume	336
ISSN (Print)	0144-7815

Conference

Conference	International Workshop on Status and Perspectives of Hydrology in Small Basins
Country/Territory	Germany
City	Goslar-Hahnenklee
Period	30/03/09 → 2/04/09

Research Groups and Themes

Water and Environmental Engineering

Keywords

Diagnostics
Hypothesis testing
Model structure
Recession analysis
Soil moisture

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Persistent link

Cite this

@inproceedings{0d43a83023554dfebb4587eb44c18603,

title = "Improving perceptual and conceptual hydrological models using data from small basins",

abstract = "This paper demonstrates how data from a small experimental basin can be used to evaluate possible structures for a lumped hydrological model. Data collected at the Mahurangi experimental basin in New Zealand includes rainfall, streamflow and multi-depth soil moisture time-series data. We use this data to evaluate possible model representations of the soil zone available in the FUSE modular modelling framework. Upper and lower soil zone architecture choices are tested. The results provide substantial guidance for model structure choice.",

keywords = "Diagnostics, Hypothesis testing, Model structure, Recession analysis, Soil moisture",

author = "Hilary McMillan and Martyn Clark and Ross Woods and Maurice Duncan and Srinivasan, {M. S.} and Andrew Western and Dave Goodrich",

year = "2010",

language = "English",

isbn = "9781907161087",

series = "IAHS-AISH Publication",

pages = "264--269",

booktitle = "Status of Perspectives of Hydrology in Small Basins",

note = "International Workshop on Status and Perspectives of Hydrology in Small Basins ; Conference date: 30-03-2009 Through 02-04-2009",

}

McMillan, H, Clark, M, Woods, R, Duncan, M, Srinivasan, MS, Western, A & Goodrich, D 2010, Improving perceptual and conceptual hydrological models using data from small basins. in Status of Perspectives of Hydrology in Small Basins. IAHS-AISH Publication, vol. 336, pp. 264-269, International Workshop on Status and Perspectives of Hydrology in Small Basins, Goslar-Hahnenklee, Germany, 30/03/09.

TY - GEN

T1 - Improving perceptual and conceptual hydrological models using data from small basins

AU - McMillan, Hilary

AU - Clark, Martyn

AU - Woods, Ross

AU - Duncan, Maurice

AU - Srinivasan, M. S.

AU - Western, Andrew

AU - Goodrich, Dave

PY - 2010

Y1 - 2010

N2 - This paper demonstrates how data from a small experimental basin can be used to evaluate possible structures for a lumped hydrological model. Data collected at the Mahurangi experimental basin in New Zealand includes rainfall, streamflow and multi-depth soil moisture time-series data. We use this data to evaluate possible model representations of the soil zone available in the FUSE modular modelling framework. Upper and lower soil zone architecture choices are tested. The results provide substantial guidance for model structure choice.

AB - This paper demonstrates how data from a small experimental basin can be used to evaluate possible structures for a lumped hydrological model. Data collected at the Mahurangi experimental basin in New Zealand includes rainfall, streamflow and multi-depth soil moisture time-series data. We use this data to evaluate possible model representations of the soil zone available in the FUSE modular modelling framework. Upper and lower soil zone architecture choices are tested. The results provide substantial guidance for model structure choice.

KW - Diagnostics

KW - Hypothesis testing

KW - Model structure

KW - Recession analysis

KW - Soil moisture

UR - http://www.scopus.com/inward/record.url?scp=79551544611&partnerID=8YFLogxK

M3 - Conference Contribution (Conference Proceeding)

AN - SCOPUS:79551544611

SN - 9781907161087

T3 - IAHS-AISH Publication

SP - 264

EP - 269

BT - Status of Perspectives of Hydrology in Small Basins

T2 - International Workshop on Status and Perspectives of Hydrology in Small Basins

Y2 - 30 March 2009 through 2 April 2009

ER -

Improving perceptual and conceptual hydrological models using data from small basins

Abstract

Publication series

Conference

Research Groups and Themes

Keywords

Handle.net

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