386
Multiscale Hydrologic Remote Sensing: Perspectives and Applications
Spencer, R. W., Martin, D. W., Hinton, B. B., and Weinman, J. A. (1983). Satellite microwave
radiances correlated with radar rain rates over land. Nature, 304, 141–143.
Turk, F. J. and Miller, S. D. (2005). Toward improving estimates of remotely-sensed precipitation with MODIS/AMSR-E blended data techniques. IEEE Transactions on Geoscience
and Remote Sensing, 43, 1059–1069.
Wang, J., Hong, Y., and Li, L., Gourley, J. J., Yilmaz, K., Khan, S. I., Policelli, F. S., Adler,
R. F., Habib, S., Irwn, D., Limaye, S. A., Korme, T., and Okello, L. (2011). The Coupled
Routing and Excess STorage (CREST) distributed hydrological model. Hydrological
Sciences Journal, 56, 84–98.
Weng, F., Zhao, L., Poe, G., Ferraro, R., Li, X., and Grody, N. (2003). AMSU cloud and precipitation algorithms. Radiology Science, 38, 8068–8079.
Wilheit, T. T., Chang, A. T. C., and Chiu, L. S. (1991). Retrieval of monthly rainfall indices from microwave radiometric measurement using probability distribution functions.
Journal of Atmospheric and Oceanic Technology, 8, 118–136.
Wu, R., Weinman, J. A., and Chin, R. T. (1985). Determination of rainfall rates from GOES
satellite images by a pattern recognition technique. Journal of Atmospheric and Oceanic
Technology, 2, 314–330.
Xu, L., Gao, X., Sorooshian, S., and Arkin, P. A. (1999). A microwave infrared threshold
technique to improve the GOES precipitation index. Journal of Applied Meteorology,
38, 569–579.
Yong, B., Ren, L., and Hong, Y. (2010). Hydrologic evaluation of multisatellite precipitaRen, L., and Hong, Y. (2010). Hydrologic evaluation of multisatellite precipita, L., and Hong, Y. (2010). Hydrologic evaluation of multisatellite precipitaL., and Hong, Y. (2010). Hydrologic evaluation of multisatellite precipitation Analysis standard precipitation products in basins beyond its inclined latitude
band: A case study in Laohahe Basin, China. Water Resources Research, 46, W07542,
doi:10.1029/2009WR008965.
Multiscale Hydrologic Remote Sensing: Perspectives and Applications
Spencer, R. W., Martin, D. W., Hinton, B. B., and Weinman, J. A. (1983). Satellite microwave
radiances correlated with radar rain rates over land. Nature, 304, 141–143.
Turk, F. J. and Miller, S. D. (2005). Toward improving estimates of remotely-sensed precipitation with MODIS/AMSR-E blended data techniques. IEEE Transactions on Geoscience
and Remote Sensing, 43, 1059–1069.
Wang, J., Hong, Y., and Li, L., Gourley, J. J., Yilmaz, K., Khan, S. I., Policelli, F. S., Adler,
R. F., Habib, S., Irwn, D., Limaye, S. A., Korme, T., and Okello, L. (2011). The Coupled
Routing and Excess STorage (CREST) distributed hydrological model. Hydrological
Sciences Journal, 56, 84–98.
Weng, F., Zhao, L., Poe, G., Ferraro, R., Li, X., and Grody, N. (2003). AMSU cloud and precipitation algorithms. Radiology Science, 38, 8068–8079.
Wilheit, T. T., Chang, A. T. C., and Chiu, L. S. (1991). Retrieval of monthly rainfall indices from microwave radiometric measurement using probability distribution functions.
Journal of Atmospheric and Oceanic Technology, 8, 118–136.
Wu, R., Weinman, J. A., and Chin, R. T. (1985). Determination of rainfall rates from GOES
satellite images by a pattern recognition technique. Journal of Atmospheric and Oceanic
Technology, 2, 314–330.
Xu, L., Gao, X., Sorooshian, S., and Arkin, P. A. (1999). A microwave infrared threshold
technique to improve the GOES precipitation index. Journal of Applied Meteorology,
38, 569–579.
Yong, B., Ren, L., and Hong, Y. (2010). Hydrologic evaluation of multisatellite precipitaRen, L., and Hong, Y. (2010). Hydrologic evaluation of multisatellite precipita, L., and Hong, Y. (2010). Hydrologic evaluation of multisatellite precipitaL., and Hong, Y. (2010). Hydrologic evaluation of multisatellite precipitation Analysis standard precipitation products in basins beyond its inclined latitude
band: A case study in Laohahe Basin, China. Water Resources Research, 46, W07542,
doi:10.1029/2009WR008965.