New approach for weather radar calibration by Radar-Rain Gauges- altitudes relationships
Subject Areas : Journal of Radar and Optical Remote Sensing and GISAli NikAhd 1 , Reza Afshin Sharifan 2 , Fereshte NikAhd Ghasiraei 3
1 - سنجش از دور و جی آی اس، دانشکده علوم کشاورزی و فناوری های نوین ، دانشگاه آزاد اسلامی واحد شیراز، فارس، ایران
2 - Department of Agriculture and new technologies, Shiraz Branch, Islamic Azad University, Shiraz, Iran
3 - PHD Graduated in mathematics and statistics
Keywords: Radar-rainfall relationship, , Z-R, calibration, altitude,
Abstract :
Weather unipolar ground-based radar measurements can experience momentous changes by using other effective parameters that directly compromise the accuracy of the hydrometeorology applications. These radar measurements however, need to be calibrated for more accurate rainfall estimation. In addition to the radar-rainfall relationship (Z-R), this is a pragmatic approach based on careful analyses of other parameters include distance from radar, altitudes and rainfall time duration. This article introduces a new calibration approach using altitude parameters and time-stepwise processing of reflectivity-rainfall rate (Z-R) relationship. Based on previous work utilizing the radar-rainfall relationship; this article hypothesizes that the rainfall measurement from ground based radar are affected by other parameters. This Research leads to introduce a new effective parameter and generate two new empirical coefficients (a/b and c) in radar-rainfall relationship. Two consecutive years unipolar ground-based radar data sets with 190 occurrences of rainfall from 43 stations in calibration window of three hours; and the corresponding rainfall measured from registered rain gauges were used in this study. The results indicated that radar-rainfall relationship Z=AR^(b )is better improvised with altitudes effect (H) and empirical coefficient (c), such that Z=AR^(b ) H^(c ). The radar-rainfall relationship is denoted by R2min= 58, R2max=98; when altitude effect (H) is considered, the relationship is better improvised (R2min=71, R2max =98). It is, therefore, concluded that the use of other effective parameters (distance from radar, altitudes and rainfall time duration) leads to optimum accuracy of Z-R relationship.
L. Barthès and C. Mallet, “Rainfall measurement from the opportunistic use of an Earth–space link in the Ku band,” Atmos. Meas. Tech., vol. 6, no. 8, pp. 2181–2193, Aug. 2013.
Q. Dai, M. a. Rico-Ramirez, D. Han, T. Islam, and S. Liguori, “Probabilistic radar rainfall nowcasts using empirical and theoretical uncertainty models,” Hydrol. Process., p. n/a–n/a, Jan. 2014.
J. E. Nielsen, K. Beven, S. Thorndahl, and M. R. Rasmussen, “GLUE based marine X-band weather radar data calibration and uncertainty estimation,” Urban Water J., vol. 00, no. 0, pp. 1–12, Jan. 2014.
J. E. Nielsen, S. Thorndahl, and M. R. Rasmussen, “A numerical method to generate high temporal resolution precipitation time series by combining weather radar measurements with a nowcast model,” Atmos. Res., vol. 138, pp. 1–12, Mar. 2014.
G. Villarini, B.-C. Seo, F. Serinaldi, and W. F. Krajewski, “Spatial and temporal modeling of radar rainfall uncertainties,” Atmos. Res., vol. 135–136, pp. 91–101, Jan. 2014.
D. Atlas, “radar calibration-some simple new approach,” 2004.
L. Pedersen, N. E. Jensen, and H. Madsen, “Calibration of Local Area Weather Radar—Identifying significant factors affecting the calibration,” Atmos. Res., vol. 97, no. 1–2, pp. 129–143, Jul. 2010.
S. Thorndahl and M. R. Rasmussen, “Marine X-band weather radar data calibration,” Atmos. Res., vol. 103, pp. 33–44, Jan. 2012.
O. Prat and A. Barros, “Exploring the Transient Behavior of Z–R Relationships: Implications for Radar Rainfall Estimation,” pp. 2127–2143, 2009.
P. V. Mandapaka, W. F. Krajewski, G. J. Ciach, G. Villarini, and J. a. Smith, “Estimation of radar-rainfall error spatial correlation,” Adv. Water Resour., vol. 32, no. 7, pp. 1020–1030, Jul. 2009.
seed A. Chumchean, S. , sharma A., “Radar rainfall error variance and its impact on radar rainfall calibration,” Phys. Chem. Earth, vol. 28, pp. 27–39, 2003.
H. Andrieu, M. N. French, W. F. Krajewski, and K. P. Georgakakos, “Stochastic–dynamical rainfall simulation based on weather radar volume scan data,” Adv. Water Resour., vol. 26, no. 5, pp. 581–593, May 2003.
L. Alfieri, P. Claps, and F. Laio, “Time-dependent Z - R relationships for estimating rainfall fields from radar measurements,” Nat. Hazards Earth Syst. Sci., no. 1973, pp. 149–158, 2010.
M.-K. Suk, K.-H. Chang, J.-W. Cha, and K.-E. Kim, “Operational Real-Time Adjustment of Radar Rainfall Estimation over the South Korea Region,” J. Meteorol. Soc. Japan. Ser. II, vol. 91, no. 4, pp. 545–554, 2013.
R. Uijlenhoet, “Raindrop size distributions and radar reflectivity – rain rate relationships for radar hydrology *,” Hydrol. Earth Syst. Sci., vol. 5, no. 4, pp. 615–627, 2001.
P. P. Mapiam, N. Sriwongsitanon, S. Chumchean, and A. Sharma, “Effects of Rain Gauge Temporal Resolution on the Specification of a Z – R Relationship,” J. Atmos. Ocean. Technol., vol. 26, no. 7, pp. 1302–1314, Jul. 2009.
J. X. Yeo, Y.-H. Lee, L. S. Kumar, and J. T. Ong, “Comparison of S-Band Radar Attenuation Prediction With Beacon Measurements,” IEEE Trans. Antennas Propag., vol. 60, no. 10, pp. 4892–4900, Oct. 2012.
Ryzhkov and A. terry J. S. Scotte. Giangrande, Valery M. Melnikov, “Calibration Issues of Dual-Polarization Radar Measurements,” J. Atmos. Ocean. Technol., vol. 22, pp. 1138–1155, 2005.
Scott E.giangrande and Alexander V. Ryzhkov, “Calibration of Dual-Polarization Radar in the Presence of Partial Beam Blockage,” J. Atmos. Ocean. Technol., vol. 22, pp. 1156–1166, 2005.
C. Z. van de Beek, H. Leijnse, J. N. M. Stricker, R. Uijlenhoet, and H. W. J. Russchenberg, “Performance of high-resolution X-band radar for rainfall measurement in The Netherlands,” Hydrol. Earth Syst. Sci., vol. 14, no. 2, pp. 205–221, Feb. 2010.
X. T. Yu, Z. W. Yu, X. P. Rui, F. Li, Y. T. Xi, and H. Q. Chen, “Discussion about the Determination Methods of Weighted Centroid of dBZ on Vector Radar Echoes,” Procedia Eng., vol. 29, pp. 2240–2246, Jan. 2012.
W. F. Krajewski, B. Vignal, B.-C. Seo, and G. Villarini, “Statistical model of the range-dependent error in radar-rainfall estimates due to the vertical profile of reflectivity,” J. Hydrol., vol. 402, no. 3–4, pp. 306–316, May 2011.
S. Efrat mrin, Robert, David c. ,Goodrich, Sooroosh, “Radar Z – R Relationship for Summer Monsoon Storms in Arizona,” Weather Forecast., vol. 20, pp. 672–679, 2005.
P. Mapiam and N. Sriwongsitanon, “Climatological Z-R relationship for radar rainfall estimation in the upper Ping river basin,” ScienceAsia, vol. 34, no. 1513, pp. 215–222, 2008.
A. Henschke, “Adjustment of the Z-R Relationship in Real-time for Use in South Florida,” in World inviromental and water resources congress 2009Asce, 2009, no. 2000, pp. 6069–6080.
S. Chumchean, A. Seed, and A. Sharma, “An operational approach for classifying storms in real-time radar rainfall estimation,” J. Hydrol., vol. 363, no. 1–4, pp. 1–17, Dec. 2008.
M. Gabella, M. Bolliger, U. Germann, and G. Perona, “Large sample evaluation of cumulative rainfall amounts in the Alps using a network of three radars,” Atmos. Res., vol. 77, no. 1–4, pp. 256–268, Sep. 2005.
K. Ozturk and A. U. Yılmazer, “Improving the accuracy of the radar rainfall estimates using gage adjustment techniques: Case study for west Anatolia, Turkey,” Atmos. Res., vol. 86, no. 2, pp. 139–148, Nov. 2007.
M. Bruen and F. O’Loughlin, “Towards a nonlinear radar-gauge adjustment of radar via a piece-wise method,” Meteorol. Appl., p. n/a–n/a, Jul. 2013.
G. Villarini and W. F. Krajewski, “Review of the Different Sources of Uncertainty in Single Polarization Radar-Based Estimates of Rainfall,” Surv. Geophys., vol. 31, no. 1, pp. 107–129, Aug. 2009.
J. E. Nielsen, N. E. Jensen, and M. R. Rasmussen, “Calibrating LAWR weather radar using laser disdrometers,” Atmos. Res., Nov. 2012.
M. Gabella and S. Michaelides, “Adjusting ground radar using space TRMM Precipitation Radar,” in Advances in Measurement, Estimation and Prediction, 1st ed., springer, 2007, pp. 493–514.
J. P. Looper and B. E. Vieux, “An assessment of distributed flash flood forecasting accuracy using radar and rain gauge input for a physics-based distributed hydrologic model,” J. Hydrol., vol. 412–413, pp. 114–132, Jan. 2012.
W. F. Krajewski and J. a. Smith, “Radar hydrology: rainfall estimation,” Adv. Water Resour., vol. 25, no. 8–12, pp. 1387–1394, Aug. 2002.
C. J. Matyas, “Use of Ground-based Radar for Climate-Scale Studies of Weather and Rainfall,” Geogr. Compass, vol. 4, no. 9, pp. 1218–1237, Sep. 2010.