Radar-based quantitative precipitation estimation for the cool season in complex terrain: Case studies from the NOAA hydrometeorology testbed

Journal of Hydrometeorology

Volumn 13, Issue 6, 2012, Pages 1836-1854

  Zhang, Jian ^a   Qi, Youcun ^a,b,c   Kingsmill, David ^d,e   Howard, Kenneth ^a  

^a NATIONAL SEVERE STORMS LABORATORY   (United States)

^b NANJING UNIVERSITY OF INFORMATION SCIENCE AND TECHNOLOGY   (China)

^c UNIVERSITY OF OKLAHOMA   (United States)

^d UNIVERSITY OF COLORADO   (United States)

^e EARTH SYSTEM RESEARCH LABORATORY   (United States)

Author keywords

Complex terrain; Precipitation; Radars Radar observations; Rainfall; Remote sensing; Winter cool season

Indexed keywords

COMPLEX TERRAIN; ESTIMATION METHOD; HYDROLOGICAL MODELING; HYDROMETEOROLOGY; NOAA SATELLITE; OROGRAPHIC EFFECT; PRECIPITATION ASSESSMENT; RADAR; RAINFALL; REFLECTIVITY; REMOTE SENSING; VERTICAL PROFILE; WINTER;

CALIFORNIA; UNITED STATES;

EID: 84874990989     PISSN: 1525755X     EISSN: 15257541     Source Type: Journal    
DOI: 10.1175/jhm-d-11-0145.1     Document Type: Article

References (39)

1. Andrieu, H., and J. D. Creutin, 1995: Identification of vertical profiles of radar reflectivity for hydrological applications using an inverse method. Part I: Formulation. J. Appl. Meteor., 34, 225-239.
2. Andrieu, H., J. D. Creutin, G. Delrieu, and D. Faure, 1997: Use of a weather radar for the hydrology of a mountainous area. Part I: Radar measurements interpretation. J. Hydrol., 125, 1-25.
3. Austin, P. M., 1987: Relation between measured radar reflectivity and surface rainfall. Mon. Wea. Rev., 115, 1053-1070.
4. Bellon, A., G.-W. Lee, and I. Zawadzki, 2005: Error statistics of VPR corrections in stratiform precipitation. J. Appl. Meteor., 44, 998-1015.
5. Berenguer, M., D. Sempere-Torres, C. Corral, and R. Sanchez- Diezma, 2006: A fuzzy logic technique for identifying nonprecipitating echoes in radar scans. J. Atmos.Oceanic Technol., 23, 1157-1180.
6. Brown, R. A., V. T. Wood, and T. W. Barker, 2002: Improved detection using negative elevation angles for mountaintop WSR-88Ds: Simulation of KMSX near Missoula, Montana. Wea. Forecasting, 17, 223-237.
7. Creutin, J.-D., H. Andrieu, and D. Faure, 1997: Use of a weather radar for the hydrology of a mountainous area. Part II: Radar measurements validation. J. Hydrol., 125, 26-44.
8. Delrieu, G., J. D. Creutin, and H. Andrieu, 1995: Simulation of radar mountain returns using a digitized terrain model. J. Atmos. Oceanic Technol., 12, 1038-1049.
9. Doviak, R. J., and D. S. Zrnic, 1993: Doppler Radar and Weather Observations. 2nd ed. Academic Press, 562 pp.
10. Fulton, R. A., J. P. Breidenbach, D. J. Seo, D. A. Miller, and T. O'Bannon, 1998: The WSR-88D rainfall algorithm. Wea. Forecasting, 13, 377-395.
11. Germann, U., and J. Joss, 2002: Mesobeta profiles to extrapolate radar precipitation measurements above the Alps to the ground level. J. Appl. Meteor., 41, 542-557.
12. Gourley, J. J., D. P. Jorgensen, S. Y. Matrosov, and Z. L. Flamig, 2009: Evaluation of incremental improvements to quantitative precipitation estimates in complex terrain. J. Hydrometeor., 10, 1507-1520.
13. Greene, D. R., and R. A. Clark, 1972: Vertically integrated liquid water-A new analysis tool. Mon. Wea. Rev., 100, 548-552.
14. Joss, J., and A. Waldvogel, 1969: Raindrop size distribution and sampling size errors. J. Atmos. Sci., 26, 566-569.
15. Joss, J., and A. Waldvogel, and A. Waldvogel, 1990: Precipitation measurement and hydrology,A review. Radar in Meteorology, D. Atlas, Ed., Amer. Meteor. Soc., 577-606.
16. Kessinger, C., S. Ellis, and J. Van Andel, 2003: The radar echo classifier:Afuzzy logic algorithm for the WSR-88D. Preprints, Third Conf. on Artificial Applications to the Environmental Sciences, LongBeach,CA,Amer.Meteor. Soc., P1.6. [Available online at https://ams.confex.com/ams/annual2003/techprogram/ paper_54946.htm.]
17. Kitchen, M., R. Brown, and A. G. Davies, 1994: Real-time correction of weather radar data for the effects of bright band, range and orographic growth in widespread precipitation. Quart. J. Roy. Meteor. Soc., 120, 1231-1254.
18. Koistinen, J., 1991: Operational correction of radar rainfall errors due to the vertical reflectivity profile. Preprints, 25th Int.Conf. on Radar Meteorology, Paris, France, Amer. Meteor. Soc., 91-94.
19. Lakshmanan, V., A. Fritz, T. Smith, K. Hondl, and G. J. Stumpf, 2007: An automated technique to quality control radar reflectivity data. J. Appl. Meteor., 46, 288-305.
20. Langston, C., and J. Zhang, 2004: An automated algorithm for radar beam occultation. Preprints, 11th Conf. on Aviation, Range, and Aerospace Meteorology, Hyannis, MA, Amer. Meteor. Soc., P5.16. [Available online at https://ams.confex. com/ams/11aram22sls/techprogram/paper_81932.htm.]
21. Lin, Y., and K. E. Mitchell, 2005: The NCEP Stage II/IV hourly precipitation analyses: Development and applications. Preprints, 19th Conf. on Hydrology, San Diego, CA, Amer. Meteor. Soc., P1.2. [Available online at https://ams.confex.com/ ams/Annual2005/techprogram/paper_83847.htm.]
22. Maddox, R., J. Zhang, J. J. Gourley, and K. Howard, 2002: Weather radar coverage over the contiguous United States. Wea. Forecasting, 17, 927-934.
23. Marshall, J. S., W. Hitschfeld, and K. L. S. Gunn, 1955: Advances in radar weather. Adv. Geophys., 2, 1-56.
24. Martner, B. E., S. E. Yuter, A. B. White, S. Y. Matrosov, D. E. Kingsmill, and F. M. Ralph, 2008: Raindrop size distributions and rain characteristics in California coastal rainfall for periods with and without a radar bright band. J. Hydrometeor., 9, 408-425.
25. Matrosov, S. Y., K. A. Clark, and D. E. Kingsmill, 2007: A polarimetric radar approach to identify rain, melting-layer, and snow regions for applying corrections to vertical profiles of reflectivity. J. Appl. Meteor. Climatol., 46, 154-166.
26. O'Bannon, T., 1997: Using a "terrain-based" hybrid scan to improve WSR-88D precipitation estimates. Preprints, 28th Int. Conf. on Radar Meteorology, Austin, TX, Amer. Meteor. Soc., 506-507.
27. Park, H.-S., A. V. Ryzhkov, D. S. Zrnić, and K.-E. Kim, 2009: The hydrometeor classification algorithm for the polarimetric WSR-88D: Description and application to an MCS. Wea. Forecasting, 24, 730-748.
28. Rosenfeld, D.,D. B.Wolff, andD.Atlas, 1993:General probabilitymatched relations between radar reflectivity and rain rate. J. Appl. Meteor., 32, 50-72.
29. Ryzhkov, A. V., T. J. Schuur, D. W. Burgess, P. L. Heinselman, S. E. Giangrande, and D. S. Zrnic, 2005: The Joint Polarization Experiment: Polarimetric rainfall measurements and hydrometeor classification. Bull. Amer. Meteor. Soc., 86, 809-824.
30. Seo, D.-J., J. Breidenbach, R. Fulton, D. Miller, and T. O'Bannon, 2000: Real-time adjustment of range-dependent biases in WSR-88D rainfall estimates due to nonuniform vertical profile of reflectivity. J. Hydrometeor., 1, 222-240.
31. Westrick, K. J., C. F. Mass, and B. A. Colle, 1999: The limitations of the WSR-88D radar network for quantitative precipitation measurement over coastal western United States. Bull. Amer. Meteor. Soc., 80, 2289-2298.
32. White, A. B., J. R. Jordan, B. E. Martner, and B. W. Bartram, 2000: Extending the dynamic range of an S-band radar for cloud and precipitation studies. J. Atmos. Oceanic Technol., 17, 1226- 1234.
33. White, A. B., P. L. Neiman, F. M. Ralph, D. E. Kingsmill, and P. Persson, 2003: Coastal orographic rainfall processes observed by radar during the California Land-Falling Jets Experiment. J. Hydrometeor., 4, 264-282.
34. Williams, C. R., K. S. Gage, W. Clark, and P. Kucera, 2005: Monitoring the reflectivity calibration of a scanning radar using a profiling radar and a disdrometer. J. Atmos. Oceanic Technol., 22, 1004-1018.
35. Wilson, J. W., and E. A. Brandes, 1979: Radar measurement of rainfall-A summary. Bull. Amer. Meteor. Soc., 60, 1048- 1058.
36. Zawadzki, I., 1984: Factors affecting the precision of radar measurement of rain. Preprints, 22nd Int. Conf. on Radar Meteorology, Zurich, Switzerland, Amer. Meteor. Soc., 251-256.
37. Zhang, J., and Y. Qi, 2010:Areal-time algorithm for the correction of bright band effects in radar-derived precipitation estimation. J. Hydrometeor., 11, 1157-1171.
38. Zhang, J., S. Wang, and B. Clarke, 2004: WSR-88D reflectivity quality control using horizontal and vertical reflectivity structure. Preprints, 11th Conf. on Aviation, Range, and Aerospace Meteorology, Hyannis, MA, Amer. Meteor. Soc., P5.4. [Available online at https://ams.confex.com/ams/11aram22sls/ techprogram/paper_81858.htm.]
39. Zhang, J., S. Wang, and B. Clarke, and Coauthors, 2011: National Mosaic and Multi-sensor QPE (NMQ) system: Description, results, and future plans. Bull. Amer. Meteor. Soc., 92, 1321-1338.