An experimental study of the small-scale variability of rainfall

Journal of Hydrometeorology

Volumn 13, Issue 1, 2012, Pages 351-365

  Tokay, Ali ^a,b   Öztürk, Kurtuluş ^c  

^a UNIVERSITY OF MARYLAND BALTIMORE COUNTY   (United States)

^b NASA GODDARD SPACE FLIGHT CENTER   (United States)

^c Turkish State Meteorological Service   (Turkey)

Author keywords

Hydrologic cycle; Hydrometeorology

Indexed keywords

EXPERIMENTAL STUDY; HYDROLOGICAL CYCLE; HYDROMETEOROLOGY; PRECIPITATION ASSESSMENT; RAINFALL; RAINGAUGE; TRMM; TROPICAL CYCLONE;

UNITED STATES; VIRGINIA; WALLOPS ISLAND;

EID: 84858328670     PISSN: 1525755X     EISSN: None     Source Type: Journal    
DOI: 10.1175/JHM-D-11-014.1     Document Type: Article

References (26)

1. Bell, T. L., and P. K. Kundu, 1996: A study of the sampling error in satellite rainfall estimates using optimal averaging of data and a stochastic model. J. Climate, 9, 1251-1268.
2. Ciach, G. J., 2003: Local random errors in tipping-bucket rain gauge measurements. J. Atmos. Oceanic Technol., 20, 752-759.
3. Ciach, G. J., and W. F. Krajewski, 2006: Analysis and modeling of spatial correlation structure in small-scale rainfall in central Oklahoma. Adv. Water Resour., 29, 1450-1463.
4. Datta, S., W. L. Jones, B. Roy, and A. Tokay, 2003: Spatial variability of surface rainfall as observed from TRMM field campaign data. J. Appl. Meteor., 42, 598-610.
5. Gebremichael, M., and W. F. Krajewski, 2004: Assessment of the statistical characterization of small-scale rainfall variability from radar: Analysis of TRMM ground validation datasets. J. Appl. Meteor., 43, 1180-1199.
6. Habib, E., and W. F. Krajewski, 2002: Uncertainty analysis of the TRMM ground-validation radar-rainfall products: Application to the TEFLUN-B field campaign. J. Appl.Meteor., 41, 558-572.
7. Habib, E., W. F. Krajewski, and G. J. Ciach, 2001: Estimation of rainfall interstation correlation. J. Hydrometeor., 2, 621-629.
8. Habib, E., B. F. Larson, and J. Graschel, 2009: Validation of NEXRAD multisensory precipitation estimates using an experimental dense rain gauge network in south Louisiana. J. Hydrol., 373, 463-478.
9. Hou, A., G. S. Jackson, C. Kummerow, and C. M. Shepherd, 2008: Global Precipitation Measurement. Precipitation: Advances in Measurement, Estimation, and Prediction, S. Michaelides, Ed., Springer, 131-169.
10. 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, 38-55.
11. Iguchi, T., T. Kozu, R. Meneghini, J. Awaka, and K. Okamoto, 2000: Rain-profiling algorithm for the TRMM precipitation radar. J. Appl. Meteor., 39, 2038-2052.
12. Krajewski, W. F., and J. A. Smith, 2002: Radar hydrology: Rainfall estimation. Adv. Water Resour., 25, 1387-1394.
13. Krajewski, W. F., G. J. Ciach, and E. Habib, 2003: An analysis of small-scale rainfall variability in different climatic regimes. Hydrol. Sci. J., 48, 151-162.
14. Kummerow, C., 1998: Beamfilling errors in passive microwave rainfall retrievals. J. Appl. Meteor., 37, 356-370.
15. Kummerow, C., W. Barnes, T. Kozu, J. Shiue, and J. Simpson, 1998: The Tropical Rainfall Measuring Mission (TRMM) sensor package. J. Atmos. Oceanic Technol., 15, 809-817.
16. Kundu, P. K., and T. L. Bell, 2003: A stochastic model of space-time variability of mesoscale rainfall: Statistics of spatial averaging. Water Resour. Res., 39, 1328, doi:10.1029/2002WR001802.
17. Liao, L., and R. Meneghini, 2009: Changes in theTRMMversion-5 and version-6 precipitation radar products due to orbital boost. J. Meteor. Soc. Japan, 87A, 93-107.
18. Liao, L., R. Meneghini, and T. Iguchi, 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, 1959-1974.
19. Moore, R. J., D. A. Jones, D. R. Cox, and V. S. Isham, 2000: Design of the HYDREX rain gauge network. Hydrol. Earth Syst. Sci., 4, 521-530.
20. Nakamura, K., and T. Iguchi, 2007: Dual-wavelength radar algorithm. Measuring Precipitation from Space, V. Levizanni, P. Bauer, and F. J. Turk, Eds., Springer, 225-234.
21. Takahashi, N., H. Hanado, and T. Iguchi, 2006: Estimation of pathintegrated attenuation and its non-uniformity from TRMM/PR range profile data. IEEE Trans. Geosci. Remote Sens., 44, 3276-3283.
22. Varma, A. K., G. Liu, Y.-J. Noh, 2004: Subpixel-scale variability of rainfall and its application tomitigate the beam-filling problem. J. Geophys. Res., 109, D18210, doi:10.1029/2004JD004968.
23. Villarini, G., and W. F. Krajewski, 2008: Empirically-based modeling of spatial sampling uncertainties associated with rainfall measurements by rain gauges. Adv. Water Resour., 31, 1015-1023.
24. Villarini, G., P. V. Mandapaka, W. F. Krajewski, and R. J. Moore, 2008: Rainfall and sampling uncertainties:Arain gauge perspective. J. Geophys. Res., 113, D11102, doi:10.1029/2007JD009214.
25. Wang, J., and D. B. Wolff, 2010: Evaluation of TRMM groundvalidation radar-rain errors using rain gauge measurements. J. Appl. Meteor. Climatol., 49, 310-324.
26. Wolff, D. B., D. A. Marks, E. Amitai, D. S. Silberstein, B. L. Fisher, A. Tokay, J. Wang, and J. L. Pippitt, 2005: Ground validation for the Tropical Rainfall Measuring Mission (TRMM). J. Atmos. Oceanic Technol., 22, 365-380.