An Experimental Study of the Small-Scale Variability of Rainfall

Ali Tokay Joint Center for Earth Systems Technology, University of Maryland, Baltimore County, Baltimore, and NASA Goddard Space Flight Center, Greenbelt, Maryland

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Kurtuluş Öztürk Turkish State Meteorological Service, Ankara, Turkey

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Abstract

Small-scale variability of rainfall has been studied employing six dual rain gauge sites at Wallops Island, Virginia. The rain gauge sites were separated between 0.4 and 5 km, matching the beamwidth of Tropical Rainfall Measuring Mission (TRMM) and Global Precipitation Measurement (GPM) precipitation radars. During a 2-yr observational period, over 7100 rainy samples were received at 5-min integration. A single gauge did not report as high as 67% of the time when at least one of the other gauges had rainfall in one of the seasons. Since rainfall from one of the six rain gauges is sufficient for the rainy footprint from a satellite, this demonstrates the common occurrence of the partial beamfilling. For the periods where all gauges were reporting rainfall, a single gauge had at most 13% difference from the areal average rainfall in one of the seasons. This suggests that at the spatial scale of 5 km, the variability caused by the rain gradient is relatively less important than the variability arising from a partially filled footprint. During the passage of frontal systems and tropical cyclones, the beam was filled by rain most of the time and this resulted in relatively higher correlation distances. The correlation distance had a sharp drop off from 45 km in moderately variable rainfall to 3 km in highly variable rainfall and ranged from 5 to 35 km between the different seasons. This demonstrates its highly variable nature. Considering temporal sampling, the monthly rainfall error was 35% and 73% for 3-hourly and twice-daily observations, respectively.

Corresponding author address: Ali Tokay, NASA Goddard Space Flight Center, Code 613.1, Greenbelt, MD 20771. E-mail: ali.tokay-1@nasa.gov

Abstract

Small-scale variability of rainfall has been studied employing six dual rain gauge sites at Wallops Island, Virginia. The rain gauge sites were separated between 0.4 and 5 km, matching the beamwidth of Tropical Rainfall Measuring Mission (TRMM) and Global Precipitation Measurement (GPM) precipitation radars. During a 2-yr observational period, over 7100 rainy samples were received at 5-min integration. A single gauge did not report as high as 67% of the time when at least one of the other gauges had rainfall in one of the seasons. Since rainfall from one of the six rain gauges is sufficient for the rainy footprint from a satellite, this demonstrates the common occurrence of the partial beamfilling. For the periods where all gauges were reporting rainfall, a single gauge had at most 13% difference from the areal average rainfall in one of the seasons. This suggests that at the spatial scale of 5 km, the variability caused by the rain gradient is relatively less important than the variability arising from a partially filled footprint. During the passage of frontal systems and tropical cyclones, the beam was filled by rain most of the time and this resulted in relatively higher correlation distances. The correlation distance had a sharp drop off from 45 km in moderately variable rainfall to 3 km in highly variable rainfall and ranged from 5 to 35 km between the different seasons. This demonstrates its highly variable nature. Considering temporal sampling, the monthly rainfall error was 35% and 73% for 3-hourly and twice-daily observations, respectively.

Corresponding author address: Ali Tokay, NASA Goddard Space Flight Center, Code 613.1, Greenbelt, MD 20771. E-mail: ali.tokay-1@nasa.gov
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  • Bell, T. L., and Kundu P. K. , 1996: A study of the sampling error in satellite rainfall estimates using optimal averaging of data and a stochastic model. J. Climate, 9, 12511268.

    • Search Google Scholar
    • Export Citation
  • Ciach, G. J., 2003: Local random errors in tipping-bucket rain gauge measurements. J. Atmos. Oceanic Technol., 20, 752759.

  • Ciach, G. J., and Krajewski W. F. , 2006: Analysis and modeling of spatial correlation structure in small-scale rainfall in central Oklahoma. Adv. Water Resour., 29, 14501463.

    • Search Google Scholar
    • Export Citation
  • Datta, S., Jones W. L. , Roy B. , and Tokay A. , 2003: Spatial variability of surface rainfall as observed from TRMM field campaign data. J. Appl. Meteor., 42, 598610.

    • Search Google Scholar
    • Export Citation
  • Gebremichael, M., and Krajewski W. F. , 2004: Assessment of the statistical characterization of small-scale rainfall variability from radar: Analysis of TRMM ground validation datasets. J. Appl. Meteor., 43, 11801199.

    • Search Google Scholar
    • Export Citation
  • Habib, E., and Krajewski W. F. , 2002: Uncertainty analysis of the TRMM ground-validation radar-rainfall products: Application to the TEFLUN-B field campaign. J. Appl. Meteor., 41, 558572.

    • Search Google Scholar
    • Export Citation
  • Habib, E., Krajewski W. F. , and Ciach G. J. , 2001: Estimation of rainfall interstation correlation. J. Hydrometeor., 2, 621629.

  • Habib, E., Larson B. F. , and Graschel J. , 2009: Validation of NEXRAD multisensory precipitation estimates using an experimental dense rain gauge network in south Louisiana. J. Hydrol., 373, 463478.

    • Search Google Scholar
    • Export Citation
  • Hou, A., Jackson G. S. , Kummerow C. , and Shepherd C. M. , 2008: Global Precipitation Measurement. Precipitation: Advances in Measurement, Estimation, and Prediction, S. Michaelides, Ed., Springer, 131–169.

    • Search Google Scholar
    • Export Citation
  • Huffman, G. J., and Coauthors, 2007: The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-global, multiyear, combined-sensor precipitation estimates at fine scales. J. Hydrometeor., 8, 3855.

    • 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
  • Krajewski, W. F., and Smith J. A. , 2002: Radar hydrology: Rainfall estimation. Adv. Water Resour., 25, 13871394.

  • Krajewski, W. F., Ciach G. J. , and Habib E. , 2003: An analysis of small-scale rainfall variability in different climatic regimes. Hydrol. Sci. J., 48, 151162.

    • Search Google Scholar
    • Export Citation
  • Kummerow, C., 1998: Beamfilling errors in passive microwave rainfall retrievals. J. Appl. Meteor., 37, 356370.

  • Kummerow, C., Barnes W. , Kozu T. , Shiue J. , and Simpson J. , 1998: The Tropical Rainfall Measuring Mission (TRMM) sensor package. J. Atmos. Oceanic Technol., 15, 809817.

    • Search Google Scholar
    • Export Citation
  • Kundu, P. K., and Bell T. L. , 2003: A stochastic model of space-time variability of mesoscale rainfall: Statistics of spatial averaging. Water Resour. Res., 39, 1328, doi:10.1029/2002WR001802.

    • Search Google Scholar
    • Export Citation
  • Liao, L., and Meneghini R. , 2009: Changes in the TRMM version-5 and version-6 precipitation radar products due to orbital boost. J. Meteor. Soc. Japan, 87A, 93107.

    • Search Google Scholar
    • Export Citation
  • Liao, L., Meneghini R. , and Iguchi T. , 2001: Comparisons of rain rate and reflectivity factor derived from the TRMM precipitation radar and the WSR-88D over the Melbourne, Florida, site. J. Atmos. Oceanic Technol., 18, 19591974.

    • Search Google Scholar
    • Export Citation
  • Moore, R. J., Jones D. A. , Cox D. R. , and Isham V. S. , 2000: Design of the HYDREX rain gauge network. Hydrol. Earth Syst. Sci., 4, 521530.

    • Search Google Scholar
    • Export Citation
  • Nakamura, K., and Iguchi T. , 2007: Dual-wavelength radar algorithm. Measuring Precipitation from Space, V. Levizanni, P. Bauer, and F. J. Turk, Eds., Springer, 225–234.

    • Search Google Scholar
    • Export Citation
  • Takahashi, N., Hanado H. , and Iguchi T. , 2006: Estimation of path-integrated attenuation and its non-uniformity from TRMM/PR range profile data. IEEE Trans. Geosci. Remote Sens., 44, 32763283.

    • Search Google Scholar
    • Export Citation
  • Varma, A. K., Liu G. , Noh Y.-J. , 2004: Subpixel-scale variability of rainfall and its application to mitigate the beam-filling problem. J. Geophys. Res., 109, D18210, doi:10.1029/2004JD004968.

    • Search Google Scholar
    • Export Citation
  • Villarini, G., and Krajewski W. F. , 2008: Empirically-based modeling of spatial sampling uncertainties associated with rainfall measurements by rain gauges. Adv. Water Resour., 31, 10151023.

    • Search Google Scholar
    • Export Citation
  • Villarini, G., Mandapaka P. V. , Krajewski W. F. , and Moore R. J. , 2008: Rainfall and sampling uncertainties: A rain gauge perspective. J. Geophys. Res., 113, D11102, doi:10.1029/2007JD009214.

    • Search Google Scholar
    • Export Citation
  • Wang, J., and Wolff D. B. , 2010: Evaluation of TRMM ground-validation radar-rain errors using rain gauge measurements. J. Appl. Meteor. Climatol., 49, 310324.

    • Search Google Scholar
    • Export Citation
  • Wolff, D. B., Marks D. A. , Amitai E. , Silberstein D. S. , Fisher B. L. , Tokay A. , Wang J. , and Pippitt J. L. , 2005: Ground validation for the Tropical Rainfall Measuring Mission (TRMM). J. Atmos. Oceanic Technol., 22, 365380.

    • Search Google Scholar
    • Export Citation
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