Chapter 7
Advanced Topic: Framework for Bias Analysis of Radar Data
Publication: Radar Rainfall Data Estimation and Use (MOP 139)
Abstract
This chapter presents measures used in forecast evaluation procedures common in atmospheric sciences and numerical weather prediction and forecast verification. An exhaustive literature review on bias assessment in radar-based precipitation estimates reveals that several performance metrics or skills scores are common to various studies and regions. The radar data overestimate the serial autocorrelation at several lags relative to gauges. The chapter provides the possible range of values for indexes and skill scores and ideal or perfect values. The ideal values will help in assessing bias-corrected radar values. The chapter also summarizes all available indexes, measures, and scores and their utilities for bias analyses and discusses the utility of these measures and indexes for real-time operations, modeling, and short-term planning. Bias corrections refer to corrections applied to radar-based rainfall data using the rain gauge.
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Information & Authors
Information
Published In
Radar Rainfall Data Estimation and Use (MOP 139)
Pages: 73 - 93
Editors: Chandra S. Pathak, Ph.D., P.E., D.WRE, and Ramesh S. V. Teegavarapu, P.E.
ISBN (Print): 978-0-7844-1511-5
ISBN (Online): 978-0-7844-8176-9
Copyright
© 2018 American Society of Civil Engineers.
History
Published online: Dec 4, 2018
ASCE Technical Topics:
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