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@ARTICLE{Pomon:878269,
author = {Poméon, Thomas and Wagner, Niklas and Furusho, Carina and
Kollet, Stefan and Reinoso-Rondinel, Ricardo},
title = {{P}erformance of a {PDE}-{B}ased {H}ydrologic {M}odel in a
{F}lash {F}lood {M}odeling {F}ramework in
{S}parsely-{G}auged {C}atchments},
journal = {Water},
volume = {12},
number = {8},
issn = {2073-4441},
address = {Basel},
publisher = {MDPI},
reportid = {FZJ-2020-02738},
pages = {2157 -},
year = {2020},
note = {This study is part of the RealPEP (Near-Realtime
Quantitative Precipitation Estimation and Prediction
https://www2.meteo.uni-bonn.de/realpep/doku.php) P4 project
(Evaluation of QPE and QPN improvements in a flash flood
nowcasting framework with data assimilation), funded by the
Deutsche Forschungsgemeinschaft (German Research Foundation)
under Grant No. FU 1185/1-1.},
abstract = {Modeling and nowcasting of flash floods remains
challenging, mainly due to uncertainty of high-resolution
spatial and temporal precipitation estimates, missing
discharge observations of affected catchments and
limitations of commonly used hydrologic models. In this
study, we present a framework for flash flood hind- and
nowcasting using the partial differential equation
(PDE)-based ParFlow hydrologic model forced with
quantitative radar precipitation estimates and nowcasts for
a small 18.5 km2 headwater catchment in Germany. In the
framework, an uncalibrated probabilistic modeling approach
is applied. It accounts for model input uncertainty by
forcing the model with precipitation inputs from different
sources, and accounts for model parameter uncertainty by
perturbing two spatially uniform soil hydraulic parameters.
Thus, sources of uncertainty are propagated through the
model and represented in the results. To demonstrate the
advantages of the proposed framework, a commonly used
conceptual model was applied over the same catchment for
comparison. Results show the framework to be robust, with
the uncalibrated PDE-based model matching streamflow
observations reasonably. The model lead time was further
improved when forced with precipitation nowcasts. This study
successfully demonstrates a parsimonious application of the
PDE-based ParFlow model in a flash flood hindcasting and
nowcasting framework, which is of interest in applications
to poorly or ungauged watersheds.},
cin = {IBG-3},
ddc = {690},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {255 - Terrestrial Systems: From Observation to Prediction
(POF3-255) / SFB 986 MGK - Integriertes Graduiertenkolleg
(MGK) (221133179)},
pid = {G:(DE-HGF)POF3-255 / G:(GEPRIS)221133179},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000564898000001},
doi = {10.3390/w12082157},
url = {https://juser.fz-juelich.de/record/878269},
}