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Modelling everything everywhere: a new approach to decision-making for water management under uncertainty

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Modelling everything everywhere : a new approach to decision-making for water management under uncertainty. / Beven, Keith J.; Alcock, Ruth E.

In: Freshwater Biology, Vol. 57, No. s1, 2012, p. 124-132.

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@article{18d8f647c86a453baaffe46c5ef2ee46,
title = "Modelling everything everywhere: a new approach to decision-making for water management under uncertainty",
abstract = "1. There are increasing demands to predict ecohydrological responses to future changes in catchments but such predictions will be inevitably uncertain because of natural variability and different sources of knowledge (epistemic) uncertainty. 2. Policy setting and decision-making should therefore reflect these inherent uncertainties in both model predictions and potential consequences. 3. This is the focus of a U.K. Natural Environment Research Council knowledge exchange project called the Catchment Change Network (CCN). The aim is to bring academics and practitioners together to define Guidelines for Good Practice in incorporating risk and uncertainty into assessments of the impacts of change. 4. Here, we assess the development of such Guidelines in the context of having catchment models of everywhere.",
keywords = "models, catchments, Guidelines, CLIMATE-CHANGE, CALIBRATION, COMMUNICATION TOOL, ecohydrology, uncertainty",
author = "Beven, {Keith J.} and Alcock, {Ruth E.}",
year = "2012",
doi = "10.1111/j.1365-2427.2011.02592.x",
language = "English",
volume = "57",
pages = "124--132",
journal = "Freshwater Biology",
issn = "0046-5070",
publisher = "Blackwell Publishing Ltd",
number = "s1",

}

RIS

TY - JOUR

T1 - Modelling everything everywhere

T2 - a new approach to decision-making for water management under uncertainty

AU - Beven, Keith J.

AU - Alcock, Ruth E.

PY - 2012

Y1 - 2012

N2 - 1. There are increasing demands to predict ecohydrological responses to future changes in catchments but such predictions will be inevitably uncertain because of natural variability and different sources of knowledge (epistemic) uncertainty. 2. Policy setting and decision-making should therefore reflect these inherent uncertainties in both model predictions and potential consequences. 3. This is the focus of a U.K. Natural Environment Research Council knowledge exchange project called the Catchment Change Network (CCN). The aim is to bring academics and practitioners together to define Guidelines for Good Practice in incorporating risk and uncertainty into assessments of the impacts of change. 4. Here, we assess the development of such Guidelines in the context of having catchment models of everywhere.

AB - 1. There are increasing demands to predict ecohydrological responses to future changes in catchments but such predictions will be inevitably uncertain because of natural variability and different sources of knowledge (epistemic) uncertainty. 2. Policy setting and decision-making should therefore reflect these inherent uncertainties in both model predictions and potential consequences. 3. This is the focus of a U.K. Natural Environment Research Council knowledge exchange project called the Catchment Change Network (CCN). The aim is to bring academics and practitioners together to define Guidelines for Good Practice in incorporating risk and uncertainty into assessments of the impacts of change. 4. Here, we assess the development of such Guidelines in the context of having catchment models of everywhere.

KW - models

KW - catchments

KW - Guidelines

KW - CLIMATE-CHANGE

KW - CALIBRATION

KW - COMMUNICATION TOOL

KW - ecohydrology

KW - uncertainty

U2 - 10.1111/j.1365-2427.2011.02592.x

DO - 10.1111/j.1365-2427.2011.02592.x

M3 - Journal article

VL - 57

SP - 124

EP - 132

JO - Freshwater Biology

JF - Freshwater Biology

SN - 0046-5070

IS - s1

ER -