Articles | Volume 20, issue 3
https://doi.org/10.5194/hess-20-1069-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/hess-20-1069-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Opinion article
| 
09 Mar 2016
Opinion article |
| 09 Mar 2016
HESS Opinions: The need for process-based evaluation of large-domain hyper-resolution models
Hydrology and Quantitative Water Management Group, Wageningen University, Droevendaalsesteeg
3a, 6708 PB Wageningen, the Netherlands
Adriaan J. Teuling
Hydrology and Quantitative Water Management Group, Wageningen University, Droevendaalsesteeg
3a, 6708 PB Wageningen, the Netherlands
Paul J. J. F. Torfs
Hydrology and Quantitative Water Management Group, Wageningen University, Droevendaalsesteeg
3a, 6708 PB Wageningen, the Netherlands
Remko Uijlenhoet
Hydrology and Quantitative Water Management Group, Wageningen University, Droevendaalsesteeg
3a, 6708 PB Wageningen, the Netherlands
Naoki Mizukami
National Center for Atmospheric Research (NCAR), Boulder, CO, USA
Martyn P. Clark
National Center for Atmospheric Research (NCAR), Boulder, CO, USA
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Short summary
A meta-analysis on 192 peer-reviewed articles reporting applications of a land surface model in a distributed way reveals that the spatial resolution at which the model is applied has increased over the years, while the calibration and validation time interval has remained unchanged. We argue that the calibration and validation time interval should keep pace with the increase in spatial resolution in order to resolve the processes that are relevant at the applied spatial resolution.
A meta-analysis on 192 peer-reviewed articles reporting applications of a land surface model in...
Special issue