Incorporating NASA Spaceborne Radar Data into NOAA National Mosaic QPE System for Improved Precipitation Measurement: A Physically Based VPR Identification and Enhancement Method

Yixin Wen * School of Meteorology, and Advanced Radar Research Center, University of Oklahoma, and Hydrometeorology and Remote Sensing Laboratory, National Weather Center, Norman, Oklahoma

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Qing Cao Advanced Radar Research Center, University of Oklahoma, and Hydrometeorology and Remote Sensing Laboratory, National Weather Center, Norman, Oklahoma

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Pierre-Emmanuel Kirstetter Advanced Radar Research Center, University of Oklahoma, and Hydrometeorology and Remote Sensing Laboratory, National Weather Center, and NOAA/National Severe Storms Laboratory, Norman, Oklahoma

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Yang Hong Advanced Radar Research Center, and School of Civil Engineering and Environmental Sciences, University of Oklahoma, and Hydrometeorology and Remote Sensing Laboratory, National Weather Center, Norman, Oklahoma

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Jonathan J. Gourley NOAA/National Severe Storms Laboratory, Norman, Oklahoma

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Jian Zhang NOAA/National Severe Storms Laboratory, Norman, Oklahoma

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Guifu Zhang ** School of Meteorology, University of Oklahoma, Norman, Oklahoma

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Bin Yong Advanced Radar Research Center, University of Oklahoma, and Hydrometeorology and Remote Sensing Laboratory, National Weather Center, Norman, Oklahoma, and State Key Laboratory of Hydrology–Water Resources and Hydraulic Engineering, Hohai University, Nanjing, China

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Abstract

This study proposes an approach that identifies and corrects for the vertical profile of reflectivity (VPR) by using Tropical Rainfall Measuring Mission (TRMM) precipitation radar (PR) measurements in the region of Arizona and southern California, where the ground-based Next Generation Weather Radar (NEXRAD) finds difficulties in making reliable estimations of surface precipitation amounts because of complex terrain and limited radar coverage. A VPR identification and enhancement (VPR-IE) method based on the modeling of the vertical variations of the equivalent reflectivity factor using a physically based parameterization is employed to obtain a representative VPR at S band from the TRMM PR measurement at Ku band. Then the representative VPR is convolved with ground radar beam sampling properties to compute apparent VPRs for enhancing NEXRAD quantitative precipitation estimation (QPE). The VPR-IE methodology is evaluated with several stratiform precipitation events during the cold season and is compared to two other statistically based correction methods, that is, the TRMM PR–based rainfall calibration and a range ring–based adjustment scheme. The results show that the VPR-IE has the best overall performance and provides much more accurate surface rainfall estimates than the original ground-based radar QPE. The potential of the VPR-IE method could be further exploited and better utilized when the Global Precipitation Measurement Mission's dual-frequency PR is launched in 2014, with anticipated accuracy improvements and expanded latitude coverage.

Corresponding author address: Yang Hong, School of Civil Engineering and Environmental Sciences, University of Oklahoma, Atmospheric Radar Research Center at the National Weather Center, 120 David L. Boren Blvd., Norman, OK 73072. E-mail: yanghong@ou.edu

Abstract

This study proposes an approach that identifies and corrects for the vertical profile of reflectivity (VPR) by using Tropical Rainfall Measuring Mission (TRMM) precipitation radar (PR) measurements in the region of Arizona and southern California, where the ground-based Next Generation Weather Radar (NEXRAD) finds difficulties in making reliable estimations of surface precipitation amounts because of complex terrain and limited radar coverage. A VPR identification and enhancement (VPR-IE) method based on the modeling of the vertical variations of the equivalent reflectivity factor using a physically based parameterization is employed to obtain a representative VPR at S band from the TRMM PR measurement at Ku band. Then the representative VPR is convolved with ground radar beam sampling properties to compute apparent VPRs for enhancing NEXRAD quantitative precipitation estimation (QPE). The VPR-IE methodology is evaluated with several stratiform precipitation events during the cold season and is compared to two other statistically based correction methods, that is, the TRMM PR–based rainfall calibration and a range ring–based adjustment scheme. The results show that the VPR-IE has the best overall performance and provides much more accurate surface rainfall estimates than the original ground-based radar QPE. The potential of the VPR-IE method could be further exploited and better utilized when the Global Precipitation Measurement Mission's dual-frequency PR is launched in 2014, with anticipated accuracy improvements and expanded latitude coverage.

Corresponding author address: Yang Hong, School of Civil Engineering and Environmental Sciences, University of Oklahoma, Atmospheric Radar Research Center at the National Weather Center, 120 David L. Boren Blvd., Norman, OK 73072. E-mail: yanghong@ou.edu
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  • Andrieu, H., and Creutin J. D. , 1995: Identification of vertical profiles of radar reflectivity for hydrological applications using an inverse method. Part I: Formulation. J. Appl. Meteor., 34, 225239.

    • Search Google Scholar
    • Export Citation
  • Bellon, A., Lee G.-W. , and Zawadzki I. , 2005: Error statistics of VPR corrections in stratiform precipitation. J. Appl. Meteor., 44, 9981015.

    • Search Google Scholar
    • Export Citation
  • Boudevillain, B., and Andrieu H. , 2003: Assessment of vertically integrated liquid (VIL) water content radar measurement. J. Atmos. Oceanic Technol., 20, 807819.

    • Search Google Scholar
    • Export Citation
  • Cao, Q., Hong Y. , Gourley J. J. , Qi Y. , Zhang J. , Wen Y. , and Kirstetter P.-E. , 2013a: Statistical and physical analysis of vertical structure of precipitation in mountainous west region of the United States using 11+ years of spaceborne Observations from TRMM precipitation radar. J. Appl. Meteor. Climatol.,52, 408–424.

  • Cao, Q., Hong Y. , Qi Y. , Wen Y. , Zhang J. , Gourley J. , and Liao L. , 2013b: Empirical conversion of vertical profile of reflectivity from Ku-band to S-band frequency. J. Geophys. Res., 118, 1814–1825, doi:10.1002/jgrd.50138.

    • Search Google Scholar
    • Export Citation
  • Delrieu, G., Boudevillain B. , Nicol J. , Chapon B. , Kirstetter P.-E. , Andrieu H. , and Faure D. , 2009: Bollène 2002 experiment: Radar rainfall estimation in the Cévennes–Vivarais region. J. Appl. Meteor. Climatol., 48, 14221447.

    • Search Google Scholar
    • Export Citation
  • Fabry, F., and Zawadzki I. , 1995: Long-term radar observations of the melting layer of precipitation and their interpretation. J. Atmos. Sci., 52, 838851.

    • Search Google Scholar
    • Export Citation
  • Gabella, M., Joss J. , Perona G. , and Michaelides S. , 2006: Range adjustment for ground-based radar, derived with the spaceborne TRMM precipitation radar. IEEE Trans. Geosci. Remote Sens., 44, 126133.

    • Search Google Scholar
    • Export Citation
  • Germann, U., and Joss J. , 2002: Mesobeta profiles to extrapolate radar precipitation measurements above the Alps to the ground level. J. Appl. Meteor., 41, 542557.

    • Search Google Scholar
    • Export Citation
  • Hardaker, P. J., Holt A. R. , and Collier C. G. , 1995: A melting-layer model and its use in correcting for the bright band in single-polarization radar echoes. Quart. J. Roy. Meteor. Soc., 121, 495525.

    • Search Google Scholar
    • Export Citation
  • Iguchi, T., Kozu T. , Meneghini R. , Awaka J. , and Okamoto K. , 2000: Rain-profiling algorithm for the TRMM Precipitation Radar. J. Appl. Meteor., 39, 20382052.

    • Search Google Scholar
    • Export Citation
  • Iguchi, T., Kozu T. , Kwiatkowski J. , Meneghini R. , Awaka J. , and Okamoto K. , 2009: Uncertainties in the rain profiling algorithm for the TRMM precipitation radar. J. Meteor. Soc. Japan, 87, 130.

    • Search Google Scholar
    • Export Citation
  • Joss, J., and Lee R. , 1995: The application of radar-gauge comparisons to operational precipitation profile corrections. J. Appl. Meteor., 34, 26122630.

    • Search Google Scholar
    • Export Citation
  • Kirstetter, P. E., Andrieu H. , Delrieu G. , and Boudevillain B. , 2010: Identification of vertical profiles of reflectivity for correction of volumetric radar data using rainfall classification. J. Appl. Meteor. Climatol., 49, 21672180.

    • Search Google Scholar
    • Export Citation
  • Kirstetter, P. E., Andrieu H. , Boudevillain B. , and Delrieu G. , 2012: Toward a physically-based identification of vertical profiles of reflectivity from volume scan radar data. IAHS Publ.,351, 194–200.

  • Kirstetter, P. E., Andrieu H. , Boudevillain B. , and Delrieu G. , 2013: A physically based identification of vertical profiles of reflectivity from volume scan radar data. J. Appl. Meteor. Climatol.,in press.

  • Kitchen, M., 1997: Towards improved radar estimates of surface precipitation at long range. Quart. J. Roy. Meteor. Soc., 123, 145163.

    • Search Google Scholar
    • Export Citation
  • Kitchen, M., Brown R. , and Davies A. G. , 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, 12311254.

    • Search Google Scholar
    • Export Citation
  • Klaassen, W., 1988: Radar observations and simulation of the melting layer of precipitation. J. Atmos. Sci., 45, 37413752.

  • 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.

  • Krajewski, W. F., Vignal B. , Seo B.-C. , and Villarini G. , 2011: Statistical model of the range-dependent error in radar-rainfall estimates due to the vertical profile of reflectivity. J. Hydrol., 402, 306316.

    • Search Google Scholar
    • Export Citation
  • Lakshmanan, V., Fritz A. , Smith T. , Hondl K. , and Stumpf G. J. , 2007: An automated technique to quality control radar reflectivity data. J. Appl. Meteor. Climatol., 46, 288305.

    • Search Google Scholar
    • Export Citation
  • Maddox, R., Zhang J. , Gourley J. J. , and Howard K. , 2002: Weather radar coverage over the contiguous United States. Wea. Forecasting, 17, 927934.

    • Search Google Scholar
    • Export Citation
  • Matrosov, S. Y., Clark K. A. , and Kingsmill D. E. , 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, 154166.

    • Search Google Scholar
    • Export Citation
  • Pellarin, T., Delrieu G. , Saulnier G.-M. , Andrieu H. , Vignal B. , and Creutin J.-D. , 2002: Hydrologic visibility of weather radar systems operating in mountainous regions: Case study for the Ardèche catchment (France). J. Hydrometeor., 3, 539555.

    • Search Google Scholar
    • Export Citation
  • Sellers, W. D., and Hill R. H. , 1974: Arizona Climate 1931–1972. University of Arizona Press, 616 pp.

  • Sempere-Torres, D., Porrà J. M. , and Creutin J.-D. , 1994: A general formulation for raindrop size distribution. J. Appl. Meteor., 33, 14941502.

    • Search Google Scholar
    • Export Citation
  • Simpson, J., Kummerow C. , Tao W.-K. , and Adler R. F. , 1996: On the tropical rainfall measuring mission (TRMM). Meteor. Atmos. Phys., 60, 1936.

    • Search Google Scholar
    • Export Citation
  • Smith, J. A., Seo D.-J. , Baeck M. L. , and Hudlow M. D. , 1996: An intercomparison study of NEXRAD precipitation estimates. Water Resour. Res., 32, 20352045.

    • Search Google Scholar
    • Export Citation
  • Smyth, T. J., and Illingworth A. J. , 1998: Radar estimates of rainfall rates at the ground in bright band and non-bright band events. Quart. J. Roy. Meteor. Soc., 124, 24172434.

    • Search Google Scholar
    • Export Citation
  • Szyrmer, W., and Zawadzki I. , 1999: Modeling of the melting layer. Part I: Dynamics and microphysics. J. Atmos. Sci., 56, 35733592.

  • Tabary, P., 2007: The new French operational radar rainfall product. Part I: Methodology. Wea. Forecasting, 22, 393408.

  • Vasiloff, S., and Coauthors, 2007: Improving QPE and very short term QPF: An initiative for a community-wide integrated approach. Bull. Amer. Meteor. Soc., 88, 18991911.

    • Search Google Scholar
    • Export Citation
  • Vignal, B., and Krajewski W. F. , 2001: Large-sample evaluation of two methods to correct range-dependent error for WSR-88D rainfall estimates. J. Hydrometeor., 2, 490504.

    • Search Google Scholar
    • Export Citation
  • Vignal, B., Andrieu H. , and Creutin J. D. , 1999: Identification of vertical profiles of reflectivity from volume-scan radar data. J. Appl. Meteor., 38, 12141228.

    • Search Google Scholar
    • Export Citation
  • Vignal, B., Galli G. , Joss J. , and Germann U. , 2000: Three methods to determine profiles of reflectivity from volumetric radar data to correct precipitation estimates. J. Appl. Meteor., 39, 17151726.

    • Search Google Scholar
    • Export Citation
  • Vila, D. A., De Goncalves L. G. G. , Toll D. L. , and Rozante J. R. , 2009: Statistical evaluation of combined daily gauge observations and rainfall satellite estimates over continental South America. J. Hydrometeor., 10, 533543.

    • Search Google Scholar
    • Export Citation
  • Watson, A. I., Lopez R. E. , and Holle R. L. , 1994: Diurnal cloud-to-ground lightning patterns in Arizona during the southwest monsoon. Mon. Wea. Rev., 122, 17161725.

    • Search Google Scholar
    • Export Citation
  • Wen Y., Hong Y. , Zhang G. , Schuur T. J. , Gourley J. J. , Flamig Z. , Morris K. R. , and Cao Q. , 2011: Cross validation of spaceborne radar and ground polarimetric radar aided by polarimetric echo classification of hydrometeor types. J. Appl. Meteor. Climatol., 50, 13891402.

    • Search Google Scholar
    • Export Citation
  • Yong, B., Ren L.-L. , Hong Y. , Wang J.-H. , Gourley J. J. , Jiang S.-H. , Chen X. , and Wang W. , 2010: Hydrologic evaluation of Multisatellite Precipitation Analysis standard precipitation products in basins beyond its inclined latitude band: A case study in Laohahe basin, China. Water Resour. Res., 46, W07542, doi:10.1029/2009WR008965.

    • Search Google Scholar
    • Export Citation
  • Zhang, J., and Qi Y. , 2010: A real-time algorithm for the correction of brightband effects in radar-derived QPE. J. Hydrometeor., 11, 11571171.

    • Search Google Scholar
    • Export Citation
  • Zhang, J., Howard K. , and Gourley J. J. , 2005: Constructing three-dimensional multiple-radar reflectivity mosaics: Examples of convective storms and stratiform rain echoes. J. Atmos. Oceanic Technol., 22, 3042.

    • Search Google Scholar
    • Export Citation
  • Zhang, J., and Coauthors, 2011: National Mosaic and Multi-sensor QPE (NMQ) system: Description, results, and future plans. Bull. Amer. Meteor. Soc., 92, 13211338.

    • Search Google Scholar
    • Export Citation
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