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Weather Radar and Flood Forecasting.

Nick Kouwen and Eric Soulis (1994)
University of Waterloo
DOI: https://doi.org/10.14796/JWMM.R176-16
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Abstract

For accurate flood forecasts, or any distributed hydrological modelling exercise, distributed rainfall data are required as the basic input. Smoothing of the rainfall data reduces peak flows due to the averaging of the rainfall-runoff process. Errors in rainfall sampling will reduce confidence in the optimized parameters. Locally intense rainfall might be missed entirely by rain gages or an intense rainfall in the immediate vicinity of a rain gage might lead to an over estimation of rainfall on a watershed. These problems all lead to the conclusion that rainfall rates measured with weather radar could greatly improve hydrological modelling and as a result, flood forecasts. Digital data from weather radar has been available for approximately 20 years but to date has not been widely applied to hydrologic applications. However, recent developments have made radar rainfall data readily available for hydrological applications, especially flood forecasting, in Southern Ontario. The purpose of this chapter is to describe a prototype on-line weather radar data acquisition system developed by the Atmospheric Environment Service (AES), Canada, for the flood forecasting purposes.

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PAPER INFO

Identification

CHI ref #: R176-16 1164
Volume: 2
DOI: https://doi.org/10.14796/JWMM.R176-16
Cite as: CHI JWMM 1994;R176-16

Publication History

Received: N/A
Accepted: N/A
Published: February 15, 1994

Status

# reviewers: 2
Version: Final published

Copyright

© 1994 CHI. Some rights reserved.

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Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

The Journal of Water Management Modeling is an open-access (OA) publication. Open access means that articles and papers are available without barriers to all who could benefit from them. Practically speaking, all published works will be available to a worldwide audience, free, immediately on publication. As such, JWMM can be considered a Diamond, Gratis OA journal.

All papers published in the JWMM are licensed under a Creative Commons Attribution 4.0 International License (CC BY).

JWMM content can be downloaded, printed, copied, distributed, and linked-to, when providing full attribution to both the author/s and JWMM.


AUTHORS

Nick Kouwen

University of Waterloo, Waterloo, ON, Canada
ORCiD:

Eric Soulis

University of Waterloo, Waterloo, ON, Canada
ORCiD:


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