Comparison of short-term rainfall forecasts for modelbased flow prediction in urban drainage systems

Søren Liedtke Thorndahl; Troels Sander Poulsen; Thomas Bøvith; Morten Borup; Malte Ahm; Jesper Ellerbæk Nielsen; Morten Grum; Michael R. Rasmussen; Rasphall Gill; Peter Steen Mikkelsen

doi:10.2166/wst.2013.274

Comparison of short-term rainfall forecasts for modelbased flow prediction in urban drainage systems

Søren Liedtke Thorndahl, Troels Sander Poulsen, Thomas Bøvith, Morten Borup, Malte Ahm, Jesper Ellerbæk Nielsen, Morten Grum, Michael R. Rasmussen, Rasphall Gill, Peter Steen Mikkelsen

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

14 Citationer (Scopus)

Abstract

Forecast based flow prediction in drainage systems can be used to implement real time control of drainage systems. This study compares two different types of rainfall forecasts – a radar rainfall extrapolation based nowcast model and a numerical weather prediction model. The models are applied as input to an urban runoff model predicting the inlet flow to a waste water treatment plant. The modelled flows are auto-calibrated against real time flow observations in order to certify the best possible forecast. Results show that it is possible to forecast flows with a lead time of 24 h. The best performance of the system is found using the radar nowcast for the short leadtimes and weather model for larger lead times

Originalsprog	Engelsk
Tidsskrift	Water Science and Technology
Vol/bind	68
Udgave nummer	2
Sider (fra-til)	472-478
Antal sider	7
ISSN	0273-1223
DOI	https://doi.org/10.2166/wst.2013.274
Status	Udgivet - 2013

Emneord

DMI-HIRLAM
Forecast
Numerical Weather Model
Radar
Runoff Model

Adgang til dokumentet

10.2166/wst.2013.274

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Citationsformater

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title = "Comparison of short-term rainfall forecasts for modelbased flow prediction in urban drainage systems",

abstract = "Forecast based flow prediction in drainage systems can be used to implement real time control of drainage systems. This study compares two different types of rainfall forecasts – a radar rainfall extrapolation based nowcast model and a numerical weather prediction model. The models are applied as input to an urban runoff model predicting the inlet flow to a waste water treatment plant. The modelled flows are auto-calibrated against real time flow observations in order to certify the best possible forecast. Results show that it is possible to forecast flows with a lead time of 24 h. The best performance of the system is found using the radar nowcast for the short leadtimes and weather model for larger lead times",

keywords = "DMI-HIRLAM, Forecast, Numerical Weather Model, Radar, Runoff Model, DMI-HIRLAM, Forecast, Numerical Weather Model, Radar, Runoff Model",

author = "Thorndahl, {S{\o}ren Liedtke} and Poulsen, {Troels Sander} and Thomas B{\o}vith and Morten Borup and Malte Ahm and Nielsen, {Jesper Ellerb{\ae}k} and Morten Grum and Rasmussen, {Michael R.} and Rasphall Gill and Mikkelsen, {Peter Steen}",

year = "2013",

doi = "10.2166/wst.2013.274",

language = "English",

volume = "68",

pages = "472--478",

journal = "Water Science and Technology",

issn = "0273-1223",

publisher = "I W A Publishing",

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TY - JOUR

T1 - Comparison of short-term rainfall forecasts for modelbased flow prediction in urban drainage systems

AU - Thorndahl, Søren Liedtke

AU - Poulsen, Troels Sander

AU - Bøvith, Thomas

AU - Borup, Morten

AU - Ahm, Malte

AU - Nielsen, Jesper Ellerbæk

AU - Grum, Morten

AU - Rasmussen, Michael R.

AU - Gill, Rasphall

AU - Mikkelsen, Peter Steen

PY - 2013

Y1 - 2013

N2 - Forecast based flow prediction in drainage systems can be used to implement real time control of drainage systems. This study compares two different types of rainfall forecasts – a radar rainfall extrapolation based nowcast model and a numerical weather prediction model. The models are applied as input to an urban runoff model predicting the inlet flow to a waste water treatment plant. The modelled flows are auto-calibrated against real time flow observations in order to certify the best possible forecast. Results show that it is possible to forecast flows with a lead time of 24 h. The best performance of the system is found using the radar nowcast for the short leadtimes and weather model for larger lead times

AB - Forecast based flow prediction in drainage systems can be used to implement real time control of drainage systems. This study compares two different types of rainfall forecasts – a radar rainfall extrapolation based nowcast model and a numerical weather prediction model. The models are applied as input to an urban runoff model predicting the inlet flow to a waste water treatment plant. The modelled flows are auto-calibrated against real time flow observations in order to certify the best possible forecast. Results show that it is possible to forecast flows with a lead time of 24 h. The best performance of the system is found using the radar nowcast for the short leadtimes and weather model for larger lead times

KW - DMI-HIRLAM

KW - Forecast

KW - Numerical Weather Model

KW - Radar

KW - Runoff Model

KW - DMI-HIRLAM

KW - Forecast

KW - Numerical Weather Model

KW - Radar

KW - Runoff Model

U2 - 10.2166/wst.2013.274

DO - 10.2166/wst.2013.274

M3 - Journal article

SN - 0273-1223

VL - 68

SP - 472

EP - 478

JO - Water Science and Technology

JF - Water Science and Technology

IS - 2

ER -

Comparison of short-term rainfall forecasts for modelbased flow prediction in urban drainage systems

Abstract

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