Calibration of weather radar using region probability matching method (RPMM)

  • Hooman Ayat
  • M. Reza Kavianpour
  • Saber Moazami
  • Yang Hong
  • Esmail Ghaemi
Original Paper

Abstract

This research aims to develop a novel method named region probability matching method (RPMM) for calibrating the Amir-Abad weather radar located in the north of Iran. This approach also can overcome the limitations of probability matching method (PMM), window probability matching method (WPMM), and window correlation matching method (WCMM). The employing of these methods for calibrating the radars in light precipitation is associated with many errors. Additionally, in developing countries like Iran where ground stations have low temporal resolution, these methods cannot be benefited from. In these circumstances, RPMM by utilizing 18 synoptic stations with a temporal resolution of 6 h and radar data with a temporal resolution of 15 min has indicated an accurate estimation of cumulative precipitation over the entire study area in a specific period. Through a comparison of the two methods (RPMM and traditional matching method (TMM)) on March 22, 2014, the obtained correlation coefficients for TMM and RPMM were 0.13 and 0.95, respectively. It is noted that the cumulative precipitation of the whole rain gauges and the calibrated radar precipitation at the same pixels were 38.5 and 36.9 mm, respectively. Therefore, the obtained results prove the inefficiency of TMM and the capability of RPMM in the calibration process of the Amir-Abad weather radar. Besides, in determining the uncertainty associated with the calculated values of A and B in the ZeR relation, a sensitivity analysis method was employed during the estimation of cumulative light precipitation for the period from 2014 to 2015. The results expressed that in the worst conditions, 69% of radar data are converted to R values by a maximum error less than 30%.

References

  1. Anagnostou EN, Morales CA, Dinku T (2000) The use of TRMM precipitation radar observations in determining ground radar calibration biases. J Atmos Ocean Technol:616–628Google Scholar
  2. Andrews CL (1992) Special functions of mathematics for engineers. SPIE Press, BellinghamGoogle Scholar
  3. Atencia A, Mediero L, Llasat M, Garrote L (2002) Effect of radar rainfall time resolution on the predictive capability of distributed hydrologic model. J Hydrol:3809–3827Google Scholar
  4. Borga M (2002) Accuracy of radar rainfall estimates for streamflow simulation. J Hydrol:26–39Google Scholar
  5. Calheiros RV, Zawadzki I (1987) Reflectivity-rain rate relationships for radar hydrology in Brazil. J Clim Appl Meteorlogy 26:118–132Google Scholar
  6. Ghaemi E, Kavianpour M, Moazami S, Hong Y, Ayat H (2017) Uncertainty analysis of radar rainfall estimates over two different climates in Iran. Int J Remote Sens:5106–5126Google Scholar
  7. Golian, S., Moazami, S., Kirstetter, P. E., Hong, Y. (2015) Evaluating the performance of merged multi-satellite precipitation products over a complex terrain. Water Resour Manag 29(13):4885–4901Google Scholar
  8. Heistermann M, Jacobi S, Pfaff T (2013) An open source library for processing weather radar data (wradlib). Hydrol Earth Syst Sci 17:863–871CrossRefGoogle Scholar
  9. Hong Y, & Gourley JJ (2017) Radar QPE for hydrologic modelling. In Y. Hong, & J. J. Gourley, Radar hydrology: principles, models, and applications (p. 129). CRC pressGoogle Scholar
  10. Javanmard S, Yatagai A, Nodzu MI, BodaghJamali J, Kawamoto H (2010) Comparing high-resolution gridded precipitation data with satellite rainfall estimates of TRMM 3B42 over Iran. Adv Geosci 25:119–125CrossRefGoogle Scholar
  11. Kassim A, Kottegoda N (1991) Rainfall network design through comparative kriging method. Hydrol J Sci 36:223–240CrossRefGoogle Scholar
  12. Kedem B, Chiu L, North G (1990) Estimation of mean rain rate: application to satellite observations. J Geophys Res: Atmos 95(D2):1965–1972CrossRefGoogle Scholar
  13. Krajewski WF, Smith JA (1991) On the estimation of climatological Z-R relationships. Appl Met 30:1436–1461CrossRefGoogle Scholar
  14. Kuczera G, Williams B (1992) Effect of rainfall erros on accuracy of design flood. Water Resour Res:1145–1153Google Scholar
  15. Linsley RK, Kohler MA, Paulhus JL (1988) Hydrology for engineers. McGraw-Hill, LondonGoogle Scholar
  16. Moazami S, Golian S, Hong Y, Sheng C, Kavianpour M (2016) Comprehensive evaluation of four high-resolution satellite precipitation products under diverse climate conditions in Iran. Hydrol Sci J:1–21Google Scholar
  17. Moazami S, Golian S, Kavianpour MR, Hong Y (2013a) Comparison of PERSIANN and V7 TRMM multi-satellite precipitation analysis (TMPA) products with rain gauge data over Iran. Int J Remote Sens 34:8156–8171CrossRefGoogle Scholar
  18. Moazami S, Golian S, Kavianpour MR, Hong Y (2013b) Uncertainty analysis of bias from satellite rainfall estimates using copula method. Atmos Res 137:145–166CrossRefGoogle Scholar
  19. Modarres R, Sarhadi A (2010) Statistically-based regionalization of rainfall climates of Iran. Glob Planet Chang 75:67–75CrossRefGoogle Scholar
  20. Morin J, Resenfeld D, Amitai E (1995) Radar rain field evaluation and possible use of its hugh temporal and spatial resolution for hydrological purposes. J Hydrol:275–292Google Scholar
  21. Pfaff T (2013) Processing and analysis of weather radar data for use in hydrology. Universitat Stuttgart, StuttgartGoogle Scholar
  22. Piman T, Babel MS, Gupta AD, Weesakul S (2007) Development of a window correlation matching method for improved radar rainfall estimation. Hydrol Earth Syst Sci 11:1361–1372CrossRefGoogle Scholar
  23. Reinhart R (1997) Radar for Meteorologists, (Third edn. Reinhart Publications, Grand ForksGoogle Scholar
  24. Rosenfeld D, Atlas D, Short D, (1990) The estimation of convective rainfall by area integrals, 2: The height area rainfall threshold (HART) method. J Geophys Res 35:2161–2176Google Scholar
  25. Rosenfeld D, Wolf DB, Amitai E (1993) The window probability matching method for rainfall measurements with radar. J Appl Meteorlogy 33:682–693CrossRefGoogle Scholar
  26. Sun X, Mein R, Keenan T, Elliot J (2000) Flood estimation using radar and rain gauge data. J Hydrol:4–18Google Scholar
  27. Tantanee S, Prakarnrat S (2008) Using GIS buffer technique to improve rainfall-radar reflectivity relationship estimation. Wseas Trans Fluid Mech 3(4):304–313Google Scholar
  28. Tesfagiorgis K, Mahani S, Krakauer N, Khanbilvardi R (2011) Bias correction of satellite rainfall estimates using a radar-gauge product—a case study in Oklahoma (USA). Hydrol Earth Syst Sci:2631–2647Google Scholar
  29. Wlison J, Brandes E (1979) Radar measurement of rainfall—a summary. Belletien Am Meteorlogical Soc 60:1048–1058CrossRefGoogle Scholar
  30. Xie P, Arkin P (1995) Analyses of global monthly precipitation using gauge observations, satellite estimates, and numerical model predictions. J Clim 9:840–858CrossRefGoogle Scholar
  31. Xin L, Reuter G, Larochelle B (1997) Reflectivity-rain rate relationships for convective rainshowers in Edmonton. Atmosphere-Ocean 35(4):513–521CrossRefGoogle Scholar
  32. Xudong S, Keenan TD, Mein RG (1999) Formulation and optimisation of the probability matching method for radar reflectivity and rain rate in the Darwin region. Aust Meteorol Mag 48:233–240Google Scholar
  33. Yang D, Koike T, Tanizawa H (2004) Application of a distributed hydrological model and weather observations for flood management in the upper Tone River of Japan. Hydrol Process:3119–3132Google Scholar
  34. Yang X, Yu B (2015) Modelling and mapping rainfall erosivity in New South Wales, Australia. Soil Res:178–189Google Scholar
  35. Yilmaz KK, Hogue TS, Sorooshian S, Gupta HV, Wagener T (2005) Intercomparison of rain gauge, radar, and satellite-based precipitation estimates with emphasis on hydrologic forecasting. Am Meteorol Soc 6:497–516Google Scholar

Copyright information

© Springer-Verlag GmbH Austria 2017

Authors and Affiliations

  • Hooman Ayat
    • 1
  • M. Reza Kavianpour
    • 1
  • Saber Moazami
    • 2
  • Yang Hong
    • 3
    • 4
  • Esmail Ghaemi
    • 1
  1. 1.Department of Civil EngineeringK.N. Toosi University of TechnologyTehranIran
  2. 2.Department of Civil Engineering, Environmental Sciences Research Center, Islamshahr BranchIslamic Azad University, IslamshahrTehranIran
  3. 3.Advanced Radar Research CenterUniversity of OklahomaNormanUSA
  4. 4.School of Civil Engineering and Environmental SciencesUniversity of OklahomaNormanUSA

Personalised recommendations