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Preferential flows and travel time distributions: defining adequate hypothesis tests for hydrological process models

Research output: Contribution to Journal/Magazine › Editorial › peer-review

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Preferential flows and travel time distributions: defining adequate hypothesis tests for hydrological process models. / Beven, Keith J.
In: Hydrological Processes, Vol. 24, No. 12, 15.06.2010, p. 1537-1547.

Research output: Contribution to Journal/Magazine › Editorial › peer-review

Harvard

Beven, KJ 2010, 'Preferential flows and travel time distributions: defining adequate hypothesis tests for hydrological process models', Hydrological Processes, vol. 24, no. 12, pp. 1537-1547. https://doi.org/10.1002/hyp.7718

APA

Beven, K. J. (2010). Preferential flows and travel time distributions: defining adequate hypothesis tests for hydrological process models. Hydrological Processes, 24(12), 1537-1547. https://doi.org/10.1002/hyp.7718

Vancouver

Beven KJ. Preferential flows and travel time distributions: defining adequate hypothesis tests for hydrological process models. Hydrological Processes. 2010 Jun 15;24(12):1537-1547. doi: 10.1002/hyp.7718

Author

Beven, Keith J. / Preferential flows and travel time distributions : defining adequate hypothesis tests for hydrological process models. In: Hydrological Processes. 2010 ; Vol. 24, No. 12. pp. 1537-1547.

Bibtex

@article{fa8d754ceea14811a9195523cc95639a,
title = "Preferential flows and travel time distributions: defining adequate hypothesis tests for hydrological process models",
abstract = "This introduction to the second annual review issue of Hydrological Processes tries to put the collection of papers on preferential flows and travel time distributions into a more general context of testing models as hypotheses about how catchment systems function. It is suggested that, because of the possibilities of non-stationary and epistemic errors in both data and models, such tests could be carried out within a rejectionist limits-of-acceptability framework. The principles and difficulties of hypothesis testing within these particular research areas are discussed. An important point to take from this discussion is that the use of a formal testing framework, and the consequent rejection of models as hypotheses after allowing for uncertainties in the data, is the starting point for developing better theories and data sets. ",
keywords = "hydrological models, uncertainty estimation , type I errors , type II errors , type III errors , limits-of-acceptability",
author = "Beven, {Keith J.}",
year = "2010",
month = jun,
day = "15",
doi = "10.1002/hyp.7718",
language = "English",
volume = "24",
pages = "1537--1547",
journal = "Hydrological Processes",
issn = "0885-6087",
publisher = "John Wiley and Sons Ltd",
number = "12",

}

RIS

TY - JOUR

T1 - Preferential flows and travel time distributions

T2 - defining adequate hypothesis tests for hydrological process models

AU - Beven, Keith J.

PY - 2010/6/15

Y1 - 2010/6/15

N2 - This introduction to the second annual review issue of Hydrological Processes tries to put the collection of papers on preferential flows and travel time distributions into a more general context of testing models as hypotheses about how catchment systems function. It is suggested that, because of the possibilities of non-stationary and epistemic errors in both data and models, such tests could be carried out within a rejectionist limits-of-acceptability framework. The principles and difficulties of hypothesis testing within these particular research areas are discussed. An important point to take from this discussion is that the use of a formal testing framework, and the consequent rejection of models as hypotheses after allowing for uncertainties in the data, is the starting point for developing better theories and data sets. 

AB - This introduction to the second annual review issue of Hydrological Processes tries to put the collection of papers on preferential flows and travel time distributions into a more general context of testing models as hypotheses about how catchment systems function. It is suggested that, because of the possibilities of non-stationary and epistemic errors in both data and models, such tests could be carried out within a rejectionist limits-of-acceptability framework. The principles and difficulties of hypothesis testing within these particular research areas are discussed. An important point to take from this discussion is that the use of a formal testing framework, and the consequent rejection of models as hypotheses after allowing for uncertainties in the data, is the starting point for developing better theories and data sets. 

KW - hydrological models

KW - uncertainty estimation

KW - type I errors

KW - type II errors

KW - type III errors

KW - limits-of-acceptability

UR - http://www.scopus.com/inward/record.url?scp=77954362729&partnerID=8YFLogxK

U2 - 10.1002/hyp.7718

DO - 10.1002/hyp.7718

M3 - Editorial

VL - 24

SP - 1537

EP - 1547

JO - Hydrological Processes

JF - Hydrological Processes

SN - 0885-6087

IS - 12

ER -