Evaluation of biases of satellite rainfall estimation algorithms over the continental United States

Journal of Applied Meteorology

Volumn 41, Issue 11, 2002, Pages 1065-1080

  McCollum, Jeffrey R ^a   Krajewski, Witold R ^b   Ferraro, Ralph R ^c   Ba, Mamoudou B ^d  

^a UNIVERSITY OF MARYLAND   (United States)

^b University of Iowa ^*  (United States)

^c OFFICE OF RESEARCH AND APPLICATIONS   (United States)

^d RAYTHEON COMPANY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ESTIMATION; RAIN; SATELLITES;

RAINFALL ESTIMATION;

METEOROLOGY;

ALGORITHM; ESTIMATION METHOD; RAINFALL; RAINGAUGE;

UNITED STATES;

EID: 0036868260     PISSN: 08948763     EISSN: None     Source Type: Journal    
DOI: 10.1175/1520-0450(2002)041<1065:EOBOSR>2.0.CO;2     Document Type: Article

References (32)

1. Adler, R. F., and A. J. Negri, 1988: A satellite technique to estimate tropical convective and stratiform rainfall. J. Appl. Meteor., 27, 30-51.
2. C. Kidd, G. Petty, M. Morrissey, and H. M. Goodman, 2001: Intercomparison of global precipitation products: The third Precipitation Intercomparison Project (PIP-3). Bull. Amer. Meteor. Soc., 82, 1377-1396.
3. Anagnostou, E. N., and C. A. Morales, 2001: Rainfall estimation from TOGA radar observations during LBA field campaign. J. Geophys. Res., in press.
4. Arkin, P. A., and B. N. Meisner, 1987: The relationship between large-scale convective rainfall and cold could over the Western Hemisphere during 1982-84. Mon. Wea. Rev., 115, 51-74.
5. Ba, M., and A. Gruber, 2001: GOES Multispectral Rainfall Algorithm (GMSRA). J. Appl. Meteor., 40, 1500-1514.
6. Bennartz, R., and G. W. Petty, 2001: The sensitivity of microwave remote sensing observations of precipitation to ice particle size distributions. J. Appl. Meteor., 40, 345-364.
7. Brock, F. V., K. C. Crawford, R. L. Elliot, G. W. Cuperus, S. J. Stadler, H. L. Johnson, and M. D. Eilts, 1995: The Oklahoma Mesonet: A technical overview. J. Atmos. Oceanic Technol., 12, 5-19.
8. Ciach, G. J., and W. F. Krajewski, 1999: On the estimation of radar rainfall error variance. Adv. Water Resour., 22, 585-595.
9. Conner, M. D., and G. W. Petty, 1998: Validation and intercomparison of SSM/I rain-rate retrieval methods over the continental United States. J. Appl. Meteor., 37, 679-700.
10. Crum, T. D., and R. L. Alberty, 1993: The WSR-88D and the WSR-88D operational support facility. Bull. Amer. Meteor. Soc., 74, 1669-1687.
11. Ebert, E. E., M. J. Manton, P. A. Arkin, R. J. Allam, G. E. Holpin, and A. Gruber, 1996: Results from the GPCP Algorithm Intercomparison Programme. Bull. Amer. Meteor. Soc., 77, 2875-2887.
12. Ferraro, R. R., 1997: Special Sensor Microwave Imager derived global rainfall estimates for climatological applications. J. Geophys. Res., 102, 16 715-16 735.
13. Ferraro, R. R., and G. F. Marks, 1995: The development of SSM/I rain-rate retrieval algorithm using ground-based radar measurements. J. Atmos. Oceanic Technol., 12, 755-770.
14. Fortune, M. A., 2002: Verification of precipitation fields from multiple sources (including satellite) in the new RFCwide precipitation processing system. Preprints. Interactive Symp. on the Advanced Weather Interactive Processing System (AWIPS), Orlando. FL. Amer. Meteor. Soc., J168-J169.
15. Fulton, R. A., J. P. Breidenbach, D.-J. Seo, and D. A. Miller, 1998: WSR-88D rainfall algorithm. Wea. Forecasting, 13, 377-395.
16. Grody, N. C., 1991: Classification of snow cover and precipitation using the Special Sensor Microwave Imager. J. Geophys. Res., 96, 7423-7435.
17. 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.
18. Huffman, G. J., and Coauthors, 1997: The Global Precipitation Climatology Product (GPCP) combined precipitation data set. Bull. Amer. Meteor. Soc., 78, 5-20.
19. Krajewski, W. F., A. Kruger, and V. Nespor, 1998: Experimental and numerical studies of small-scale rainfall measurements and variability. Water Sci. Technol., 37, 131-138.
20. Krajewski, W. F., G. J. Ciach, J. R. McCollum, and C. Bacotiu, 2000: Initial validation of the Global Precipitation Climatology Project monthly rainfall over the United States. J. Appl. Meteor., 39, 1071-1086.
21. Kummerow, C., and Coauthors, 2001: The evolution of the Goddard profiling algorithm (GPROF) for rainfall estimation from passive microwave sensors. J. Appl. Meteor., 40, 1801-1820.
22. McCollum, J. R., and R. R. Ferraro, 2001: The next generation of NOAA/NESDIS SSM/I, TMI, and AMSR-E microwave land rainfall algorithms. J. Geophys. Res., in press.
23. McCollum, J. R., A. Gruber, and M. B. Ba, 2000: Discrepancy between gauges and satellite estimates of rainfall in equatorial Africa. J. Appl. Meteor., 39, 666-679.
24. North, G. R., and S. Nakamoto, 1989: Formalism for comparing rain estimation designs. J. Atmos. Oceanic Technol., 6, 985-992.
25. Petersen, W. A., S. W. Nesbitt, R. J. Blakeslee, R. Cifelli, P. Hein, and S. A. Rutledge, 2002: TRMM observations of intraseasonal variability in the convective regimes over the Amazon. J. Climate, 15, 1278-1294.
26. Rosenfeld, D., and G. Gutman, 1994: Retrieving microphysical properties near the tops of potential rain clouds by multispectral analysis of AVHRR data. Atmos. Res., 34, 259-283.
27. Rozumalski, R. A., 2000: A quantitative assessment of the NESDIS auto-estimator. Wea. Forecasting, 15, 397-415.
28. Smith, J. A., D. J. Seo, M. L. Baeck, and M. D. Hudlow, 1996: An intercomparison study of NEXRAD precipitation estimates. Water Resour. Res., 32, 2035-2945.
29. Steiner, M., J. A. Smith, S. J. Burges, C. V. Alonso, and R. W. Darden, 1999: Effect of bias adjustment and rain gauge data quality control on radar rainfall estimation. Water Resour. Res., 35, 2487-2503.
30. Vicente, G. A., R. A. Scotfield, and W. P. Menzel, 1998: Operational GOES infrared rainfall estimation technique. Bull. Amer. Meteor. Soc., 79, 1883-1897.
31. Young, C. B., B. R. Nelson, A. A. Bradley, J. A. Smith, C. D. Peters-Lidard, A. Kruger, and M. L. Baeck, 1999: An evaluation of NEXRAD precipitation estimates in complex terrains. J. Geophys. Res., 104, 19 691-19 703.
32. Young, C. B., A. A. Bradley, W. F. Krajewski, A. Kruger, and M. L. Morrissey, 2000: Evaluating NEXRAD multisensor precipitation estimates for operational hydrologic forecasting. J. Hydrometeor., 1, 241-254.