The limits of data: application of a lumped catchment model to a small humid tropical basin

Chris Barnes; Mike Bonell

The limits of data: application of a lumped catchment model to a small humid tropical basin

Chris Barnes, Mike Bonell

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed)

Abstract

In the humid tropics, the available data is usually at best rainfall–runoff (of variable quality) and with little or no supporting process hydrology knowledge. A simple modelling approach is offered to extract the maximum information (within the limits set by the data) using data from a tropical forest basin. The model outputs are compared with previous process hydrology knowledge. Results show that the intelligent combination of simple models with even low quality data can lead to qualitatively new hydrological insights.

Original language	English
Title of host publication	Revisiting Experimental Catchment Studies in Forest Hydrology
Subtitle of host publication	(Proceedings of a Workshop held during the XXV IUGG General Assembly in Melbourne, June–July 2011
Editors	Ashley A. Webb, Mike Bonell, Leon Bren, Patrick N.J. Lane, Don McGuire, Daniel G. Neary, Jami Nettles, David F. Scott, John Stednick, Yanhui Wang
Place of Publication	Wallingford
Publisher	International Association of Hydrological Sciences (IAHS)
Pages	94-105
Number of pages	12
ISBN (Print)	9781907161315
Publication status	Published - 2012

Publication series

Name	IAHS Publication
Number	353

Keywords

adaptive modelling
runoff process hydrology
tropical rainforest basin
northeast Queensland
Australia

Access to Document

http://www.iahs.info/redbooks/a353/iahs_353_0094.pdf

Cite this

Barnes, C., & Bonell, M. (2012). The limits of data: application of a lumped catchment model to a small humid tropical basin. In A. A. Webb, M. Bonell, L. Bren, P. N. J. Lane, D. McGuire, D. G. Neary, J. Nettles, D. F. Scott, J. Stednick, & Y. Wang (Eds.), Revisiting Experimental Catchment Studies in Forest Hydrology: (Proceedings of a Workshop held during the XXV IUGG General Assembly in Melbourne, June–July 2011 (pp. 94-105). (IAHS Publication; No. 353). International Association of Hydrological Sciences (IAHS). http://www.iahs.info/redbooks/a353/iahs_353_0094.pdf

Barnes, Chris ; Bonell, Mike. / The limits of data : application of a lumped catchment model to a small humid tropical basin. Revisiting Experimental Catchment Studies in Forest Hydrology: (Proceedings of a Workshop held during the XXV IUGG General Assembly in Melbourne, June–July 2011. editor / Ashley A. Webb ; Mike Bonell ; Leon Bren ; Patrick N.J. Lane ; Don McGuire ; Daniel G. Neary ; Jami Nettles ; David F. Scott ; John Stednick ; Yanhui Wang. Wallingford : International Association of Hydrological Sciences (IAHS), 2012. pp. 94-105 (IAHS Publication; 353).

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title = "The limits of data: application of a lumped catchment model to a small humid tropical basin",

abstract = "In the humid tropics, the available data is usually at best rainfall–runoff (of variable quality) and with little or no supporting process hydrology knowledge. A simple modelling approach is offered to extract the maximum information (within the limits set by the data) using data from a tropical forest basin. The model outputs are compared with previous process hydrology knowledge. Results show that the intelligent combination of simple models with even low quality data can lead to qualitatively new hydrological insights.",

keywords = "adaptive modelling, runoff process hydrology, tropical rainforest basin, northeast Queensland, Australia",

author = "Chris Barnes and Mike Bonell",

year = "2012",

language = "English",

isbn = "9781907161315",

series = "IAHS Publication",

publisher = "International Association of Hydrological Sciences (IAHS)",

number = "353",

pages = "94--105",

editor = "Webb, {Ashley A.} and Mike Bonell and Leon Bren and Lane, {Patrick N.J.} and Don McGuire and Neary, {Daniel G.} and Jami Nettles and Scott, {David F.} and John Stednick and Yanhui Wang",

booktitle = "Revisiting Experimental Catchment Studies in Forest Hydrology",

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Barnes, C & Bonell, M 2012, The limits of data: application of a lumped catchment model to a small humid tropical basin. in AA Webb, M Bonell, L Bren, PNJ Lane, D McGuire, DG Neary, J Nettles, DF Scott, J Stednick & Y Wang (eds), Revisiting Experimental Catchment Studies in Forest Hydrology: (Proceedings of a Workshop held during the XXV IUGG General Assembly in Melbourne, June–July 2011. IAHS Publication, no. 353, International Association of Hydrological Sciences (IAHS), Wallingford, pp. 94-105. <http://www.iahs.info/redbooks/a353/iahs_353_0094.pdf>

The limits of data: application of a lumped catchment model to a small humid tropical basin. / Barnes, Chris; Bonell, Mike.
Revisiting Experimental Catchment Studies in Forest Hydrology: (Proceedings of a Workshop held during the XXV IUGG General Assembly in Melbourne, June–July 2011. ed. / Ashley A. Webb; Mike Bonell; Leon Bren; Patrick N.J. Lane; Don McGuire; Daniel G. Neary; Jami Nettles; David F. Scott; John Stednick; Yanhui Wang. Wallingford: International Association of Hydrological Sciences (IAHS), 2012. p. 94-105 (IAHS Publication; No. 353).

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed)

TY - CHAP

T1 - The limits of data

T2 - application of a lumped catchment model to a small humid tropical basin

AU - Barnes, Chris

AU - Bonell, Mike

PY - 2012

Y1 - 2012

N2 - In the humid tropics, the available data is usually at best rainfall–runoff (of variable quality) and with little or no supporting process hydrology knowledge. A simple modelling approach is offered to extract the maximum information (within the limits set by the data) using data from a tropical forest basin. The model outputs are compared with previous process hydrology knowledge. Results show that the intelligent combination of simple models with even low quality data can lead to qualitatively new hydrological insights.

AB - In the humid tropics, the available data is usually at best rainfall–runoff (of variable quality) and with little or no supporting process hydrology knowledge. A simple modelling approach is offered to extract the maximum information (within the limits set by the data) using data from a tropical forest basin. The model outputs are compared with previous process hydrology knowledge. Results show that the intelligent combination of simple models with even low quality data can lead to qualitatively new hydrological insights.

KW - adaptive modelling

KW - runoff process hydrology

KW - tropical rainforest basin

KW - northeast Queensland

KW - Australia

M3 - Chapter (peer-reviewed)

SN - 9781907161315

T3 - IAHS Publication

SP - 94

EP - 105

BT - Revisiting Experimental Catchment Studies in Forest Hydrology

A2 - Webb, Ashley A.

A2 - Bonell, Mike

A2 - Bren, Leon

A2 - Lane, Patrick N.J.

A2 - McGuire, Don

A2 - Neary, Daniel G.

A2 - Nettles, Jami

A2 - Scott, David F.

A2 - Stednick, John

A2 - Wang, Yanhui

PB - International Association of Hydrological Sciences (IAHS)

CY - Wallingford

ER -

Barnes C, Bonell M. The limits of data: application of a lumped catchment model to a small humid tropical basin. In Webb AA, Bonell M, Bren L, Lane PNJ, McGuire D, Neary DG, Nettles J, Scott DF, Stednick J, Wang Y, editors, Revisiting Experimental Catchment Studies in Forest Hydrology: (Proceedings of a Workshop held during the XXV IUGG General Assembly in Melbourne, June–July 2011. Wallingford: International Association of Hydrological Sciences (IAHS). 2012. p. 94-105. (IAHS Publication; 353).

The limits of data: application of a lumped catchment model to a small humid tropical basin

Abstract

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