World Library  

Add to Book Shelf
Flag as Inappropriate
Email this Book

Development of a Window Correlation Matching Method for Improved Radar Rainfall Estimation : Volume 11, Issue 4 (07/06/2007)

By Piman, T.

Click here to view

Book Id: WPLBN0004010161
Format Type: PDF Article :
File Size: Pages 12
Reproduction Date: 2015

Title: Development of a Window Correlation Matching Method for Improved Radar Rainfall Estimation : Volume 11, Issue 4 (07/06/2007)  
Author: Piman, T.
Volume: Vol. 11, Issue 4
Language: English
Subject: Science, Hydrology, Earth
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


APA MLA Chicago

Babel, M. S., Gupta, A. D., Weesakul, S., & Piman, T. (2007). Development of a Window Correlation Matching Method for Improved Radar Rainfall Estimation : Volume 11, Issue 4 (07/06/2007). Retrieved from

Description: Water Engineering and Management, Asian Institute of Technology, Pathumthani, Thailand. The present study develops a method called window correlation matching method (WCMM) to reduce collocation and timing errors in matching pairs of radar measured reflectivity, Ze, and gauge measured rainfall intensity, R, for improving the accuracy of the estimation of Ze−R relationships. This method was compared with the traditional matching method (TMM), the probability matching method (PMM) and the window probability matching method (WPMM). The calibrated relationship Ze=18.05 R1.45 obtained from 7×7 km of space window and both present and 5 min previous time of radar observation for time window (S77T5) produces the best results for radar rainfall estimates for orographic rain over the Mae Chaem Watershed in the north of Thailand. The comparison shows that the Ze−R relationship obtained from WCMM provide more accuracy in radar rainfall estimates as compared with the other three methods. The Ze−R relationships estimated using TMM and PMM provide large overestimation and underestimation, respectively, of mean areal rainfall whereas WPMM slightly underestimated the mean areal rainfall. Based on the overall results, it can be concluded that WCMM can reduce collocation and timing errors in Ze−R pairs matching and improve the estimation of Ze−R relationships for radar rainfall. WCMM is therefore a promising method for improved radar-measured rainfall, which is an important input for hydrological and environmental modeling and water resources management.

Development of a window correlation matching method for improved radar rainfall estimation

Atlas, D.: Advances in radar meteorology, in: Advances in Geophysics, edited by: Atlas, D., Academic press, New York, USA, 318–478, 1964.; Atlas, D., Rosenfeld, D., and Jameson, M. R.: Evolution of radar rainfall measurements: steps and mis-steps, Weather Radar Technology for Water Resources Management, IRTCUD/University of Sao Paulo, Brazil and IHP-UNESCO, 1997.; Atlas, D., Rosenfeld, D., and Wolff, D. B.: Climatologically tuned reflectivity-rain rate relations and links to area-time integrals, J. Appl. Meteorol., 29, 1120–1135, 1990.; Battan, L. J.: Radar observation of the atmosphere, University of Chicago press, Chicago & London, England, 1973.; Borga, M.: Accuracy of radar rainfall estimates for streamflow simulation, J. Hydrol., 267, 26–39, 2002.; Bell, V A and Moore, R J.:~A grid-based distributed flood forecasting model for use with weather radar data: Part 2. Case studies, Hydrol. Earth Syst. Sci., 2, 283–298, 1998.; Calheiros, R. V. and Zawadzki, I.: Reflectivity rain-rate relationships for radar hydrology in Brazil, J. Clim. Appl. Meteorol., 26, 118–132, 1987.; Chumchean, S.: Improved estimation of radar rainfall for use in hydrological modeling, Doctoral Dissertation, University of New South Wales, Sydney, Australia, 2004.; Collier, C. G.: Applications of weather radar systems: A guide to uses of radar data in meteorology and hydrology, John Wiley & Sons, New York, USA, 1996.; Collinge, V. K. and Kirby, C.: Weather radar and flood forecasting, John Wiley & Sons, Great Britain, England, 1987.; Dairaku, K., Emori, S., Oki, T., and Musiak, K.: Orographic rainfall in tropical mountainous region, the Mae Chaem Watershed, Proc., 2002 workshop on GAME-Topics and hydrometeorological studies in Thailand and Southeast Asia, Chiang Rai, Thailand, 2002.; Joss, J., Schran, K., Thoms, J. C., and Waldvogel, A.: On the quantitative determination of precipitation by radar, Wissenschaftliche Mitteilung No.63, Eidgenossischen Kommission Zum Studium der Hagelgilbung und der Hergelsher, 1970.; Krajewski, W. F. and Smith, J. A.: On the estimation of climatological Z-R relationships, J. Appl. Meteorol, 30, 1436–1445, 1991.; Kuraji, K., Punyatrong, K., and Sirisiyard, I.: Six years intensive rainfall observation in Mae Chaem Watershed, Northern Thailand, The 6th international study conference on GEWEX in Asia and GAME, Kyoto, Japan, 2004.; Kuraji, K., Suzuki, M., Tangtham, N., Jirasuktaveekul, W., and Punyatrong, K.: Observation of rainfall distribution in Mae Chaem Watershed, Proc., the '98 Workshop on GAME-Tropics in Thailand, GAME Publication 7, 24, 1998.; Linsley, R. K., Kohler M. A., and Paulhus, J. L. H.: Hydrology for engineers, McGraw-Hill, London, UK, 1988.; Marshall, J. S. and Palmer, W. Mc.: The distribution of raindrops with size, J. Meteorol. 5, 165–166, 1948.; Rosenfeld, D., Atlas, D., and Short, D.: The estimation of convective rainfall by area integrals, 2: The height area rainfall threshold (HART) method, J. Geophys Res. 35, 2161–2176, 1990.; Rosenfeld, D., Wolff, D. B., and Amitai, E.: The window probability matching method for rainfall measurements with radar, J. Appl. Meteorol., 33, 682–693, 1994.; Rosenfeld, D., Wolff, D. B., and Atlas, D.: General probability-matched relations between radar reflectivity and rain rate, J. Appl. Meteorol., 32, 50–72, 1993.; Sun, X., Mein, R. G., Keenan, T. D., and Elliott, J. F.: Flood estimation using radar and raingauge Rata, J. Hydrol., 239, 4–18, 2000.; Vieux, B. E.: Combined use of radar and gauge measurements for flood forecasting using a physics-based distributed hydrologic model, Vieux & Associates, Inc., Norman, Oklahoma, USA, 2003.


Click To View

Additional Books

  • The Effects of Riparian Forest Managemen... (by )
  • Nitrogen Concentrations in a Small Medit... (by )
  • Data Compression to Define Information C... (by )
  • Physically-based Modeling of Topographic... (by )
  • Spatial and Temporal Variability of Rain... (by )
  • Quantitative Analysis on the Ecological ... (by )
  • Floods and Wetlands: Combining a Water-b... (by )
  • Impact of the European Russia Drought in... (by )
  • Uncertainty in Soil Physical Data at Riv... (by )
  • Inca : Summary and Conclusions : Volume ... (by )
  • Hydrological Change: Reaping Prosperity ... (by )
  • An Assessment of Global Net Irrigation W... (by )
Scroll Left
Scroll Right


Copyright © World Library Foundation. All rights reserved. eBooks from Hawaii eBook Library are sponsored by the World Library Foundation,
a 501c(4) Member's Support Non-Profit Organization, and is NOT affiliated with any governmental agency or department.