Details

Subject(s)

• Rain and rainfall [Browse]
• Rain and rainfall—Forecasting [Browse]
• Radar meteorology [Browse]

Sponsoring body

• Environmental and Water Resources Institute (U.S.). Radar Rainfall Data and Application Task Committee [Browse]

Editor

• Pathak, Chandra S. [Browse]
• Pathak, Chandra S. [Browse]
• Teegavarapu, Ramesh S. V. [Browse]
• Teegavarapu, Ramesh S. V. [Browse]

Series

ASCE manuals and reports on engineering practice ; Number 139. [More in this series]

Summary note

Prepared by the Standard Practice on Radar Rainfall Estimation Task Committee of the Environmental and Water Resources Institute of ASCERadar Rainfall Data Estimation and Use, MOP 139, provides a detailed look at the basic philosophy and principles for estimating and analyzing radar rainfall data and analyzing data. Radar-derived rainfall estimation is one of the most significant recent advances in hydrologic engineering and practice. Rain gauges provide point values of rainfall depth and intensity but are not cost effective in providing information about the spatial distribution of rainfall, whereas radar-derived rainfall data provides a density of measurements that are not obtainable by rain gauges alone. Combining these two sensor systems produces better rainfall estimates that more accurately characterize rainfall across a watershed. This Manual of Practice provides a framework for researchers and practicing engineers working in hydrologic engineering to develop radar rainfall data sets and analyze them according to their varied goals and resources. Topics include An introduction to and examples of radar rainfall estimation, Temporal and spatial characteristics of radar rainfall data, Methodology for radar rainfall data quality evaluation and improvement, Use of radar rainfall data in hydrologic modeling, Rainfall data augmentation and design of rainfall monitoring networks, and Examples of radar rainfall data analysis and data applications. MOP 139 will be a valuable resource for government agencies, a framework for engineering firms, practicing engineers, researchers, and students working in the hydrologic engineering field.

Bibliographic references

Includes bibliographical references and index.

Source of description

Print version record.

Contents

Chapter 1 Radar Rainfall Estimation; Chapter 2 Radar Rainfall Data: Temporal and Spatial Characteristics; Chapter 3 Radar Rainfall Data Processing; Chapter 4 Evaluation and Improvement of Radar Rainfall Data; Chapter 5 Use of Radar Rainfall Data in Hydrologic Modeling; Chapter 6 Examples in Radar Rainfall Data, Analyses, and Application; Chapter 7 Advanced Topic: Framework for Bias Analysis of Radar Data; Chapter 8 Advanced Topic: Rain-Gauge Rainfall Data Augmentation and Radar Rainfall Data Analysis; Chapter 9 Advanced Topic: Design of Rainfall Monitoring Networks

ISBN

0-7844-8176-8

OCLC

1081333849

Statement on responsible collection description

Princeton University Library aims to describe library materials in a manner that is respectful to the individuals and communities who create, use, and are represented in the collections we manage. Read more...