@article{Beven-2019-Developing,
title = "Developing observational methods to drive future hydrological science: Can we make a start as a community?",
author = "Beven, Keith and
Asadullah, Anita and
Bates, Paul and
Blyth, Eleanor and
Chappell, Nick A. and
Child, Stewart and
Cloke, Hannah and
Dadson, Simon and
Everard, Nick and
Fowler, Hayley J. and
Freer, Jim and
Hannah, David M. and
Heppell, Kate and
Holden, Joseph and
Lamb, Rob and
Lewis, Huw and
Morgan, Gerald and
Parry, Louise and
Wagener, Thorsten",
journal = "Hydrological Processes, Volume 34, Issue 3",
volume = "34",
number = "3",
year = "2019",
publisher = "Wiley",
url = "https://gwf-uwaterloo.github.io/gwf-publications/G19-3001",
doi = "10.1002/hyp.13622",
pages = "868--873",
abstract = "Hydrology is still, and for good reasons, an inexact science, even if evolving hydrological understanding has provided a basis for improved water management for at least the last three millennia. The limitations of that understanding have, however, become much more apparent and important in the last century as the pressures of increasing populations, and the anthropogenic impacts on catchment forcing and responses, have intensified. At the same time, the sophistication of hydrological analyses and models has been developing rapidly, often driven more by the availability of computational power and geographical data sets than any real increases in understanding of hydrological processes. This sophistication has created an illusion of real progress but a case can be made that we are still rather muddling along, limited by the significant uncertainties in hydrological observations, knowledge of catchment characteristics and related gaps in conceptual understanding, particularly of the sub-surface. These knowledge gaps are illustrated by the fact that for many catchments we cannot close the water balance without significant uncertainty, uncertainty that is often neglected in evaluating models for practical applications.",
}
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<abstract>Hydrology is still, and for good reasons, an inexact science, even if evolving hydrological understanding has provided a basis for improved water management for at least the last three millennia. The limitations of that understanding have, however, become much more apparent and important in the last century as the pressures of increasing populations, and the anthropogenic impacts on catchment forcing and responses, have intensified. At the same time, the sophistication of hydrological analyses and models has been developing rapidly, often driven more by the availability of computational power and geographical data sets than any real increases in understanding of hydrological processes. This sophistication has created an illusion of real progress but a case can be made that we are still rather muddling along, limited by the significant uncertainties in hydrological observations, knowledge of catchment characteristics and related gaps in conceptual understanding, particularly of the sub-surface. These knowledge gaps are illustrated by the fact that for many catchments we cannot close the water balance without significant uncertainty, uncertainty that is often neglected in evaluating models for practical applications.</abstract>
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%0 Journal Article
%T Developing observational methods to drive future hydrological science: Can we make a start as a community?
%A Beven, Keith
%A Asadullah, Anita
%A Bates, Paul
%A Blyth, Eleanor
%A Chappell, Nick A.
%A Child, Stewart
%A Cloke, Hannah
%A Dadson, Simon
%A Everard, Nick
%A Fowler, Hayley J.
%A Freer, Jim
%A Hannah, David M.
%A Heppell, Kate
%A Holden, Joseph
%A Lamb, Rob
%A Lewis, Huw
%A Morgan, Gerald
%A Parry, Louise
%A Wagener, Thorsten
%J Hydrological Processes, Volume 34, Issue 3
%D 2019
%V 34
%N 3
%I Wiley
%F Beven-2019-Developing
%X Hydrology is still, and for good reasons, an inexact science, even if evolving hydrological understanding has provided a basis for improved water management for at least the last three millennia. The limitations of that understanding have, however, become much more apparent and important in the last century as the pressures of increasing populations, and the anthropogenic impacts on catchment forcing and responses, have intensified. At the same time, the sophistication of hydrological analyses and models has been developing rapidly, often driven more by the availability of computational power and geographical data sets than any real increases in understanding of hydrological processes. This sophistication has created an illusion of real progress but a case can be made that we are still rather muddling along, limited by the significant uncertainties in hydrological observations, knowledge of catchment characteristics and related gaps in conceptual understanding, particularly of the sub-surface. These knowledge gaps are illustrated by the fact that for many catchments we cannot close the water balance without significant uncertainty, uncertainty that is often neglected in evaluating models for practical applications.
%R 10.1002/hyp.13622
%U https://gwf-uwaterloo.github.io/gwf-publications/G19-3001
%U https://doi.org/10.1002/hyp.13622
%P 868-873
Markdown (Informal)
[Developing observational methods to drive future hydrological science: Can we make a start as a community?](https://gwf-uwaterloo.github.io/gwf-publications/G19-3001) (Beven et al., GWF 2019)
ACL
- Keith Beven, Anita Asadullah, Paul Bates, Eleanor Blyth, Nick A. Chappell, Stewart Child, Hannah Cloke, Simon Dadson, Nick Everard, Hayley J. Fowler, Jim Freer, David M. Hannah, Kate Heppell, Joseph Holden, Rob Lamb, Huw Lewis, Gerald Morgan, Louise Parry, and Thorsten Wagener. 2019. Developing observational methods to drive future hydrological science: Can we make a start as a community?. Hydrological Processes, Volume 34, Issue 3, 34(3):868–873.
