Uncertainty analysis of satellite rainfall algorithms over the tropical pacific

Journal of Geophysical Research Atmospheres

Volumn 103, Issue D16, 1998, Pages 19569-19576

  Morrissey, Mark L ^a,b   Scott Greene, J ^a,b  

^a UNIVERSITY OF OKLAHOMA   (United States)

^b UNIVERSITY OF OKLAHOMA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; COMPARATIVE STUDY; RAINFALL; SATELLITE;

PACIFIC OCEAN;

EID: 0032572956     PISSN: 01480227     EISSN: None     Source Type: Journal    
DOI: 10.1029/98JD00309     Document Type: Article

References (20)

1. Adler, R., C. Kidd, M. Goodman, A. Ritchie, R. Schudalla, G. Petty, M. Morrissey, and S. Greene, in PIP-3 Intercomparison Results, Precip. Intercomparison Proj. (PIP-3) Workshop, 18-20 November 1996, College Park, MD, 1996.
2. Arkin, P. A., and B.N. Meisner, The relationship between large-scale convective rainfall and cold cloud over the Western Hemisphere during 1982-1984, Mon. Weather. Rev., 115, 51-74, 1987.
3. Barrett, E.C., et al., The first WETNET precipitation intercomparison project (PIP-1): Interpretation of results, Remote Sens. Rev., 11, 1-12, 1994.
4. Bastin, G., B. Lorent, C. Duqué, and M. Gevers, Optimal estimation of the average areal rainfall and optimal selection of rain gauge locations, Water Resour. Res., 20, 463-470, 1984.
5. Bras, R.L., and I. Rodriguez-Iturbe, Random Functions and Hydrology, 559 pp., Addison-Wesley Publishing Company, Massachusetts, 1985.
6. Davis, J.C., Statistics and Data Analysis in Geology, 646 pp., John Wiley, New York, 1986.
7. Delfiner, P., and J.P. Delhomme, Optimum interpolation by kriging in Display and Analysis of Spatial Data, edited by J.C. Davis and M.J. McCullagh, pp. 96-114, John Wiley, New York, 1975.
8. rd Algorithm Intercomparison Project (AIP-3) of the Global Precipitation Climatology Project (GPCP), Bureau of Meteorology Research Center Res. Rep. 55, 220 pp., Melbourne, Australia, 1996.
9. Kalnay, E., et al., The NCEP/NCAR 40-year reanalysis project, Bull., Am. Meteorol. Soc., 77, 437-471, 1996.
10. Journel, A.G., and C. J. Huijbregts, Mining Geostatistics, 600 pp., Academic, San Diego, Calif., 1989.
11. Lebel, T., G. Bastin, C. Obled, and J.D. Creutin, On the accuracy of areal rainfall estimation: A case study, Water Resour. Res., 23, 2123-2134, 1987.
12. Morrissey, M. L., Using sparse rain gages to test satellite-based rainfall algorithms, J. Geophys., Res., 96, 18,561-18,571, 1991.
13. Morrissey, M.L., and J.S. Greene, Comparison of two satellite-based rainfall algorithms using Pacific atoll rain gage data, J. Appl. Meteorol., 32, 411-425, 1993.
14. Morrissey, M.L., M.A. Shafer, S.E. Postawko, and B. Gibson, Pacific rain gauge data, Water Resour. Res., 31, 2111-2113, 1995a.
15. Morrissey, M.L., J.A. Maliekal, J.S. Greene, and J. Wang, The uncertainty of simple spatial averages using rain gauge networks, Water Resour., Res., 31, 2011-2017, 1995b.
16. Parker, D.E., The statistical effects of incomplete sampling of coherent data series, J. Climatol., 4, 445-449, 1984.
17. Postawko, S.E., M.L. Morrissey, and B. Gibson, Schools of the Pacific Rainfall Climate Experiment: Combining research and education, Bull. Am. Meteorol. Soc., 75, 2296-2311, 1994.
18. Rodriguez-Iturbe, I. and J.M. Mejia, The design of rainfall networks in time and space, Water Resour. Res., 10, 713-728, 1974.
19. Trenberth, K.E., Some effects of finite sample size and persistence on meteorological statistics, I, Autocorrelations, Mon. Weather Rev., 12, 2359-2368, 1984a.
20. Trenberth, K.E., Some effects of finite sample size and persistence on meteorological statistics, II, Potential predictability, Mon. Weather Rev., 12, 2369-2379, 1984b.