385
Global Precipitation Estimation and Applications
Hong, Y. and Adler, R. F. (2008). Estimation of Global NRCS-CN (Natural Resource
Conservation Service Curve Numbers) using satellite remote sensing and geospatial
data. International Journal of Remote Sensing, 29, 471–477.
Hsu, K., Gao, X., Sorooshian, S., and Gupta, H. V. (1997). Precipitation estimation from
remotely sensed information using artificial neural networks. Journal of Applied
Meteorology, 36, 1176–1190.
Huffman, G. J., Adler, R. F., Bolvin, D. T., Gu, G., Nelkin, E. J., Bowman, K. P., Hong, Y.,
Stocker, E. F., and Wolff, D. B. (2007). The TRMM Multisatellite Precipitation Analysis
(TMPA): Quasi-global, multiyear, combined-sensor precipitation estimates at fine
scales. Journal of Hydrometeorology, 8, 38–55.
Huffman, G. J., Adler, R. F., Bolvin, D. T., and Nelkin, E. J. (2010). The TRMM Multisatellite
Precipitation Analysis (TMPA). Satellite Rainfall Applications for Surface Hydrology,
3, 245–265, doi:10.1007/978-90-481-2915-7_15.
Janowiak, J. E., Joyce, R. J., and Yarosh, Y. (2001). A real-time global half-hourly pixelresolution infrared dataset and its applications. Bulletin of the American Meteorological
Society, 82, 205–217.
Joyce, R. J., Janowiak, J. E., Arkin, P. A., and Xie, P. (2004). CMORPH: A method that pro(2004). CMORPH: A method that pro(2004). CMORPH: A method that produces global precipitation estimates from passive microwave and infrared data at high
spatial and temporal resolution. Journal of Hydrometeorology, 5, 487–503.
Kidd, C., Kniveton, D. R., Todd, M. C., and Bellerby, T. J. (2003). Satellite rainfall estimation using combined passive microwave and infrared algorithms. Journal of
Hydrometeorology, 4, 1088–1104.
Kohonen, T. (1995). Self-Organizing Map. Springer-Verlag, New York.
Kummerow, C. and Giglio, L. (1994). A passive microwave technique for estimating rainfall
and vertical structure information from space, Part I: Algorithm description. Journal of
Meteorology, 33, 3–18.
Kummerow, C., Hong, Y., Olson, W. S., Yang, S., Adler, R. F., McCollum, J., Ferraro, R.,
Petty, G., Shin, D.-B., and Wilheit, T. T. (2001). The evolution of the Goddard Profiling
Algorithm (GPROF) for rainfall estimation from passive microwave sensors. Journal of
Meteorology, 40, 1801–1820.
Kummerow, C., Masunaga, H., and Bauer, P. (2007). A next-generation microwave rainfall retrieval algorithm for use by TRMM and GPM. Strategies for Conceiving
the Next Generation of Rainfall Algorithms, Measuring Precipitation from Space,
EURAINSAT and the Future (V. Levizzani, P. Bauer, and T. J. Turk, ed.). Springer,
New York, 745 p.
Mugnai, A., Smith, E. A., and Tripoli, G. J. (1993). Foundation of physical–statistical precipitation retrieval from passive microwave satellite measurements—Part II: Emission
source and generalized weighting function properties of a time dependent cloud-radiation model. Journal of Applied Meteorology, 32, 17–39.
Olson, W. S. (1989). Physical retrieval of rainfall rates over the ocean by multispectral radiometry: Application to tropical cyclones. Journal of Geophysical Research, 94, 2267–2280.
Petty, G. W. (1994). Physical retrievals of over-ocean rain rate from multichannel microwave
imagery. Part I: Theoretical characteristics of normalized polarization and scattering
indices. Meteorology and Atmospheric Physics, 54, 79–99.
Scofield, R. A. and Kuligowski, R. J. (2003). Status and outlook of operational satellite precipita, R. J. (2003). Status and outlook of operational satellite precipitaR. J. (2003). Status and outlook of operational satellite precipitation algorithms for extreme-precipitation events. Monthly Weather Review, 18, 1037–1051.
Smith, E. A., Xiang, X., Mugnai, A., and Tripoli, G. (1994). Design of an inversion-based
precipitation profile retrieval algorithm using an explicit cloud model for initial guess
microphysics. Meteorology and Atmospheric Physics, 54, 53–78.
Sorooshian, S., Hsu, K., Gao, X., Gupta, H. V., Imam, B., and Braithwaite, D. (2000).
Evaluation of PERSIANN system satellite-based estimates of tropical rainfall. Bulletin
of the American Meteorological Society, 81, 2035–2046.
Global Precipitation Estimation and Applications
Hong, Y. and Adler, R. F. (2008). Estimation of Global NRCS-CN (Natural Resource
Conservation Service Curve Numbers) using satellite remote sensing and geospatial
data. International Journal of Remote Sensing, 29, 471–477.
Hsu, K., Gao, X., Sorooshian, S., and Gupta, H. V. (1997). Precipitation estimation from
remotely sensed information using artificial neural networks. Journal of Applied
Meteorology, 36, 1176–1190.
Huffman, G. J., Adler, R. F., Bolvin, D. T., Gu, G., Nelkin, E. J., Bowman, K. P., Hong, Y.,
Stocker, E. F., and Wolff, D. B. (2007). The TRMM Multisatellite Precipitation Analysis
(TMPA): Quasi-global, multiyear, combined-sensor precipitation estimates at fine
scales. Journal of Hydrometeorology, 8, 38–55.
Huffman, G. J., Adler, R. F., Bolvin, D. T., and Nelkin, E. J. (2010). The TRMM Multisatellite
Precipitation Analysis (TMPA). Satellite Rainfall Applications for Surface Hydrology,
3, 245–265, doi:10.1007/978-90-481-2915-7_15.
Janowiak, J. E., Joyce, R. J., and Yarosh, Y. (2001). A real-time global half-hourly pixelresolution infrared dataset and its applications. Bulletin of the American Meteorological
Society, 82, 205–217.
Joyce, R. J., Janowiak, J. E., Arkin, P. A., and Xie, P. (2004). CMORPH: A method that pro(2004). CMORPH: A method that pro(2004). CMORPH: A method that produces global precipitation estimates from passive microwave and infrared data at high
spatial and temporal resolution. Journal of Hydrometeorology, 5, 487–503.
Kidd, C., Kniveton, D. R., Todd, M. C., and Bellerby, T. J. (2003). Satellite rainfall estimation using combined passive microwave and infrared algorithms. Journal of
Hydrometeorology, 4, 1088–1104.
Kohonen, T. (1995). Self-Organizing Map. Springer-Verlag, New York.
Kummerow, C. and Giglio, L. (1994). A passive microwave technique for estimating rainfall
and vertical structure information from space, Part I: Algorithm description. Journal of
Meteorology, 33, 3–18.
Kummerow, C., Hong, Y., Olson, W. S., Yang, S., Adler, R. F., McCollum, J., Ferraro, R.,
Petty, G., Shin, D.-B., and Wilheit, T. T. (2001). The evolution of the Goddard Profiling
Algorithm (GPROF) for rainfall estimation from passive microwave sensors. Journal of
Meteorology, 40, 1801–1820.
Kummerow, C., Masunaga, H., and Bauer, P. (2007). A next-generation microwave rainfall retrieval algorithm for use by TRMM and GPM. Strategies for Conceiving
the Next Generation of Rainfall Algorithms, Measuring Precipitation from Space,
EURAINSAT and the Future (V. Levizzani, P. Bauer, and T. J. Turk, ed.). Springer,
New York, 745 p.
Mugnai, A., Smith, E. A., and Tripoli, G. J. (1993). Foundation of physical–statistical precipitation retrieval from passive microwave satellite measurements—Part II: Emission
source and generalized weighting function properties of a time dependent cloud-radiation model. Journal of Applied Meteorology, 32, 17–39.
Olson, W. S. (1989). Physical retrieval of rainfall rates over the ocean by multispectral radiometry: Application to tropical cyclones. Journal of Geophysical Research, 94, 2267–2280.
Petty, G. W. (1994). Physical retrievals of over-ocean rain rate from multichannel microwave
imagery. Part I: Theoretical characteristics of normalized polarization and scattering
indices. Meteorology and Atmospheric Physics, 54, 79–99.
Scofield, R. A. and Kuligowski, R. J. (2003). Status and outlook of operational satellite precipita, R. J. (2003). Status and outlook of operational satellite precipitaR. J. (2003). Status and outlook of operational satellite precipitation algorithms for extreme-precipitation events. Monthly Weather Review, 18, 1037–1051.
Smith, E. A., Xiang, X., Mugnai, A., and Tripoli, G. (1994). Design of an inversion-based
precipitation profile retrieval algorithm using an explicit cloud model for initial guess
microphysics. Meteorology and Atmospheric Physics, 54, 53–78.
Sorooshian, S., Hsu, K., Gao, X., Gupta, H. V., Imam, B., and Braithwaite, D. (2000).
Evaluation of PERSIANN system satellite-based estimates of tropical rainfall. Bulletin
of the American Meteorological Society, 81, 2035–2046.