Numerical daemons of hydrological models  are summoned by extreme precipitation

La Follette, Peter T.; Teuling, Adriaan J.; Addor, Nans; Clark, Martyn; Jansen, Koen; Melsen, Lieke A.

doi:https://doi.org/10.5194/hess-25-5425-2021

Articles | Volume 25, issue 10

https://doi.org/10.5194/hess-25-5425-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-25-5425-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 25, issue 10

Research article

|

12 Oct 2021

Research article |

| 12 Oct 2021

Numerical daemons of hydrological models are summoned by extreme precipitation

Peter T. La Follette, Adriaan J. Teuling, Nans Addor, Martyn Clark, Koen Jansen, and Lieke A. Melsen

Supplement

https://doi.org/10.5194/hess-25-5425-2021-supplement

Data sets

Data for La Follette et al (Numerical Daemons and extreme precipitation) P. La Follette https://doi.org/10.4211/hs.acf9a56e93bc4863b972e1e8af36dc0c

California Nevada River Forecast Center NOAA https://www.cnrfc.noaa.gov/archivePrecipMap.php?area=sf&month=02&day=27&year=19

Guide to hydrological practices World Meteorological Organization http://www.bom.gov.au/water/designRainfalls/rainfallEvents/worldRecRainfall.shtml

Model code and software

wknoben/MARRMoT W. Knoben https://github.com/wknoben/MARRMoT/tree/master/MARRMoT/Functions/Time stepping

NCAR/summa NCAR https://github.com/CH-Earth/summa/tree/master/docs/input_output

ODE Solvers C. Rackauckas, H. Ranocha, D. Thakur, et al. https://github.com/SciML/DiffEqDocs.jl/blob/master/docs/src/solvers/ode_solve.md

Frequently Asked Questions University of Washington https://vic.readthedocs.io/en/master/FAQ/FAQ/

mhm.nml.develop.mhm/mhm M. Zink and M. Cuntz https://git.ufz.de/mhm/mhm/blob/develop/mhm.nml

Short summary

Hydrological models are useful tools that allow us to predict distributions and movement of water. A variety of numerical methods are used by these models. We demonstrate which numerical methods yield large errors when subject to extreme precipitation. As the climate is changing such that extreme precipitation is more common, we find that some numerical methods are better suited for use in hydrological models. Also, we find that many current hydrological models use relatively inaccurate methods.