Applying WRF-openLISEM model coupling system to simulate flash flood hazard in Kampala, Uganda

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Abstract

Flood hazard modeling requires high resolutions hydro-meteorological data to develop flood hazard map that supports decision maker in managing flash floods. Kampala, the capital city of Uganda, is frequently affected by flash flood hazard triggered by extreme rainfall in each rainy season. However, due to poor hydrometeorological data, it is challenging to develop flood hazard modeling in the city. To overcome these challenges, the application of high-resolution atmospheric model (i.e. WRF) coupling to the hydrologic model appears to be a promising alternative for flood flash flood modeling in the data scarce area. This study attempts to evaluate the applicability of one-way coupled WRF-openLISEM modeling system for the extreme precipitation event that caused the 25th June 2012 flash flood event in Kampala, Uganda. WRF model is simulated to produce the spatial and temporal distribution of extreme rainfall event at the spatial and temporal resolutions of 1-km model domain and 10 minutes respectively, which is then used as input to openLISEM for flash flood hazard modeling. WRF model simulation experiments were performed for the total of 32 physics options as a combination of MPS, CPS, and PBL, and the combination of best physics option simulation in reproducing good cumulative daily rainfall events and its spatial and temporal distributions at 1-km WRF domain is selected after comparing with point observed rainfall data. The result indicates that the WRF model simulation able to capture the spatial and temporal distribution of precipitation but underestimated its cumulative amount compared to the observed rainfall event. openLISEM model is set up at the city scale with the spatially distributed rainfall event of 10 minutes temporal resolution and other model input databases at a spatial resolution of 20m. Compared to an earlier simulation that was verified with stakeholders and accepted for drainage system design, and the skill of the model was relatively higher when using the spatially distributed rainfall event than using observed point rainfall data. The simulation results demonstrated
the applicability of a coupled WRF-openLISEM for flash flood hazard modeling in Kampala, Uganda.
Original languageEnglish
Number of pages1
Publication statusPublished - 12 Apr 2019
EventEGU General Assembly 2019 - Austria Center Vienna (ACV), Vienna, Austria
Duration: 7 Apr 201912 Apr 2019
https://meetingorganizer.copernicus.org/EGU2019/picos/30465

Conference

ConferenceEGU General Assembly 2019
CountryAustria
CityVienna
Period7/04/1912/04/19
Internet address

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flash flood
hazard
rainfall
temporal distribution
modeling
simulation
spatial distribution
physics
capital city
stakeholder
spatial resolution

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@conference{9568103f39b44eb58492094b567141d4,
title = "Applying WRF-openLISEM model coupling system to simulate flash flood hazard in Kampala, Uganda",
abstract = "Flood hazard modeling requires high resolutions hydro-meteorological data to develop flood hazard map that supports decision maker in managing flash floods. Kampala, the capital city of Uganda, is frequently affected by flash flood hazard triggered by extreme rainfall in each rainy season. However, due to poor hydrometeorological data, it is challenging to develop flood hazard modeling in the city. To overcome these challenges, the application of high-resolution atmospheric model (i.e. WRF) coupling to the hydrologic model appears to be a promising alternative for flood flash flood modeling in the data scarce area. This study attempts to evaluate the applicability of one-way coupled WRF-openLISEM modeling system for the extreme precipitation event that caused the 25th June 2012 flash flood event in Kampala, Uganda. WRF model is simulated to produce the spatial and temporal distribution of extreme rainfall event at the spatial and temporal resolutions of 1-km model domain and 10 minutes respectively, which is then used as input to openLISEM for flash flood hazard modeling. WRF model simulation experiments were performed for the total of 32 physics options as a combination of MPS, CPS, and PBL, and the combination of best physics option simulation in reproducing good cumulative daily rainfall events and its spatial and temporal distributions at 1-km WRF domain is selected after comparing with point observed rainfall data. The result indicates that the WRF model simulation able to capture the spatial and temporal distribution of precipitation but underestimated its cumulative amount compared to the observed rainfall event. openLISEM model is set up at the city scale with the spatially distributed rainfall event of 10 minutes temporal resolution and other model input databases at a spatial resolution of 20m. Compared to an earlier simulation that was verified with stakeholders and accepted for drainage system design, and the skill of the model was relatively higher when using the spatially distributed rainfall event than using observed point rainfall data. The simulation results demonstratedthe applicability of a coupled WRF-openLISEM for flash flood hazard modeling in Kampala, Uganda.",
author = "Y.M. Umer and V.G. Jetten and J. Ettema",
year = "2019",
month = "4",
day = "12",
language = "English",
note = "EGU General Assembly 2019 ; Conference date: 07-04-2019 Through 12-04-2019",
url = "https://meetingorganizer.copernicus.org/EGU2019/picos/30465",

}

Applying WRF-openLISEM model coupling system to simulate flash flood hazard in Kampala, Uganda. / Umer, Y.M.; Jetten, V.G.; Ettema, J.

2019. Abstract from EGU General Assembly 2019, Vienna, Austria.

Research output: Contribution to conferenceAbstractOther research output

TY - CONF

T1 - Applying WRF-openLISEM model coupling system to simulate flash flood hazard in Kampala, Uganda

AU - Umer, Y.M.

AU - Jetten, V.G.

AU - Ettema, J.

PY - 2019/4/12

Y1 - 2019/4/12

N2 - Flood hazard modeling requires high resolutions hydro-meteorological data to develop flood hazard map that supports decision maker in managing flash floods. Kampala, the capital city of Uganda, is frequently affected by flash flood hazard triggered by extreme rainfall in each rainy season. However, due to poor hydrometeorological data, it is challenging to develop flood hazard modeling in the city. To overcome these challenges, the application of high-resolution atmospheric model (i.e. WRF) coupling to the hydrologic model appears to be a promising alternative for flood flash flood modeling in the data scarce area. This study attempts to evaluate the applicability of one-way coupled WRF-openLISEM modeling system for the extreme precipitation event that caused the 25th June 2012 flash flood event in Kampala, Uganda. WRF model is simulated to produce the spatial and temporal distribution of extreme rainfall event at the spatial and temporal resolutions of 1-km model domain and 10 minutes respectively, which is then used as input to openLISEM for flash flood hazard modeling. WRF model simulation experiments were performed for the total of 32 physics options as a combination of MPS, CPS, and PBL, and the combination of best physics option simulation in reproducing good cumulative daily rainfall events and its spatial and temporal distributions at 1-km WRF domain is selected after comparing with point observed rainfall data. The result indicates that the WRF model simulation able to capture the spatial and temporal distribution of precipitation but underestimated its cumulative amount compared to the observed rainfall event. openLISEM model is set up at the city scale with the spatially distributed rainfall event of 10 minutes temporal resolution and other model input databases at a spatial resolution of 20m. Compared to an earlier simulation that was verified with stakeholders and accepted for drainage system design, and the skill of the model was relatively higher when using the spatially distributed rainfall event than using observed point rainfall data. The simulation results demonstratedthe applicability of a coupled WRF-openLISEM for flash flood hazard modeling in Kampala, Uganda.

AB - Flood hazard modeling requires high resolutions hydro-meteorological data to develop flood hazard map that supports decision maker in managing flash floods. Kampala, the capital city of Uganda, is frequently affected by flash flood hazard triggered by extreme rainfall in each rainy season. However, due to poor hydrometeorological data, it is challenging to develop flood hazard modeling in the city. To overcome these challenges, the application of high-resolution atmospheric model (i.e. WRF) coupling to the hydrologic model appears to be a promising alternative for flood flash flood modeling in the data scarce area. This study attempts to evaluate the applicability of one-way coupled WRF-openLISEM modeling system for the extreme precipitation event that caused the 25th June 2012 flash flood event in Kampala, Uganda. WRF model is simulated to produce the spatial and temporal distribution of extreme rainfall event at the spatial and temporal resolutions of 1-km model domain and 10 minutes respectively, which is then used as input to openLISEM for flash flood hazard modeling. WRF model simulation experiments were performed for the total of 32 physics options as a combination of MPS, CPS, and PBL, and the combination of best physics option simulation in reproducing good cumulative daily rainfall events and its spatial and temporal distributions at 1-km WRF domain is selected after comparing with point observed rainfall data. The result indicates that the WRF model simulation able to capture the spatial and temporal distribution of precipitation but underestimated its cumulative amount compared to the observed rainfall event. openLISEM model is set up at the city scale with the spatially distributed rainfall event of 10 minutes temporal resolution and other model input databases at a spatial resolution of 20m. Compared to an earlier simulation that was verified with stakeholders and accepted for drainage system design, and the skill of the model was relatively higher when using the spatially distributed rainfall event than using observed point rainfall data. The simulation results demonstratedthe applicability of a coupled WRF-openLISEM for flash flood hazard modeling in Kampala, Uganda.

UR - https://ezproxy2.utwente.nl/login?url=https://library.itc.utwente.nl/login/2019/pres/umer_app_abs.pdf

M3 - Abstract

ER -