Daily precipitation over Southern Africa: A new resource for climate studies

Journal of Hydrometeorology

Volumn 7, Issue 1, 2006, Pages 149-159

  Layberry, R ^a   Kniveton, D R ^a   Todd, M C ^b   Kidd, C ^c   Bellerby, T J ^d  

^a UNIVERSITY OF SUSSEX   (United Kingdom)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

^c UNIVERSITY OF BIRMINGHAM   (United Kingdom)

^d UNIVERSITY OF HULL   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

METEOSAT; PRECIPITATION (CLIMATOLOGY); RAINFALL;

EID: 33645543012     PISSN: 1525755X     EISSN: None     Source Type: Journal    
DOI: 10.1175/JHM477.1     Document Type: Article

References (26)

1. Adler, R. F., A. J. Negri, P. R. Keehn, and I. M. Hakkarinen, 1993: Estimation of monthly rainfall over Japan and surrounding waters from a combination of low-orbit microwave and geosynchronous IR data. J. Appl. Meteor., 32, 335-356.
2. Adler, R. F., C. Kidd, G. Petty, M. Morissey, 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. Andersson, L., and Coauthors, 2003: Water flow dynamics in the Okavango River basin and delta - A prerequisite for the ecosystems of the delta. Phys. Chem. Earth, 28, 1165-1172.
4. Arkin, P. A., and B. N. Meisner, 1987: The relationship between large-scale convective rainfall and cold cloud over the Western Hemisphere during 1982-84. Mon. Wea. Rev., 115, 51-74.
5. Barrett, E. C., and Coauthors, 1994: The first WetNet Precipitation Intercomparison Project: Interpretation of results. Remote Sens. Rev., 11, 303-373.
6. Bellerby, T. J., M. C. Todd, D. R. Kniveton, and C. Kidd, 2000: Rainfall estimation from a combination of TRMM precipitation radar and GOES multispectral imagery through the use of an artificial neural network. J. Appl. Meteor., 39, 2115-2128.
7. Camberlin, P., S. Janicot, and I. Poccard, 2001: Seasonality and atmospheric dynamics of the teleconnection between African rainfall and tropical sea surface temperature: Atlantic vs. ENSO. Int. J. Climatol., 21, 973-1005.
8. Ciach, G. J., E. Habib, and W. F. Krajewski, 2003: Zero-covariance hypothesis in the error variance separation method of radar rainfall verification. Adv. Water Res., 26, 573-580.
9. 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.
10. Gebremichael, M., W. F. Krajewski, M. Morrissey, D. Langerud, G. J. Huffman, and R. Adler, 2003: Error uncertainty analysis of GPCP monthly rainfall products: A data-based simulation study. J. Appl. Meteor., 42, 1837-1848.
11. Houghton, J. T., Y. Ding, D. J. Griggs, M. Noguer, P. J. van der Linden, and D. Xiaosu, Eds., 2001: Climate Change 2001: The Scientific Basis: Contribution of Working Group I to the Third Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, 944 pp.
12. Huffman, G. J., and Coauthors, 1997: The Global Precipitation Climatology Project (GPCP): Combined precipitation dataset. Bull. Amer. Meteor. Soc., 78, 5-20.
13. Joyce, R. J., J. E. Janowiak, P. A. Arkin, and P. P. Xie, 2004: CMORPH: A method that produces global precipitation estimates from passive microwave and infrared data at high spatial and temporal resolution. J. Hydrometeor., 5, 487-503.
14. Kidd, C., 2001: Satellite rainfall climatology: A review. Int. J. Climatol., 21, 1041-1066.
15. Kummerow, C., and L. Giglio, 1994: A passive microwave technique for estimating rainfall and vertical structure information from space. 1. Algorithm description. J. Appl. Meteor., 33, 3-18.
16. Kummerow, C., W. S. Olson, and L. Giglio, 1996: A simplified scheme for obtaining precipitation and vertical hydrometeor profiles from passive microwave sensors. IEEE Trans. Geosci. Remote Sens., 34, 1213-1232.
17. 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.
18. Layberry, R., D. R. Kniveton, and M. C. Todd, 2005: SAFARI 2000 daily rainfall estimates, 0.1-deg, southern Africa, 1993-2001. Oak Ridge National Laboratory, Oak Ridge, TN. [Available online at http:// daac.ornl.gov/S2K/safari.html.]
19. Lebel, T., and A. Amani, 1999: Rainfall estimation in the Sahel: What is the ground truth? J. Appl. Meteor., 38, 555-568.
20. Miller, S. W., P. A. Arkin, and R. Joyce, 2001: A combined microwave/ infrared rain rate algorithm. Int. J. Remote Sens., 22, 3285-3307.
21. New, M., M. Hulme, and P. Jones, 2000: Representing twentieth-century space-time climate variability. Part II: Development of 1901-96 monthly grids of terrestrial surface climate. J. Climate, 13, 2217-2238.
22. Smith, E. A., and Coauthors, 1998: Results of WetNet PIP-2. J. Atmos. Sci., 55, 1483-1536.
23. Sorooshian, S., K. Hsu, X. Gao, H. V. Gupta, B. Imam, and D. Braithwaite, 2000: Evaluation of PERSIANN system satellite-based estimates of tropical rainfall. Bull. Amer. Meteor. Soc., 81, 2035-2046.
24. Stanski, H. R., L. J. Wilson, and W. R. Burrows, 1989: Survey of common verification methods in meteorology. World Weather Watch Tech. Rep. 8, WMO/TD No. 358, WMO, Geneva, Switzerland, 114 pp.
25. Todd, M. C., C. Kidd, D. R. Kniveton, and T. J. Bellerby, 2001: A combined satellite infrared and passive microwave technique for estimation of small-scale rainfall. J. Atmos. Oceanic Technol., 18, 742-755.
26. Xu, L., X. Gao, S. Sorooshian, P. A. Arkin, and B. Imam, 1999: A microwave infrared threshold techique to improve the GOES precipitation index. J. Appl. Meteor., 38, 569-579.