A Neural Network Relation Of Gps Results With Continental Hydrology

Andersen O. B., Seneviratne S. I., Hinderer J., and Viterbo, P. (2005). GRACE-derived terrestrial water storage depletion associated with the 2003 European heat wave, Geophys. Res. Lett., 32, L18405, doi:10.1029/2005GL023574.10.1029/2005GL023574Search in Google Scholar

Bose N. and Liang P. (1998). Neural Network Fundamentals with Graphs, Algorithms and Applications, Tata McGraw-Hill Publication, 478pp.Search in Google Scholar

David R. L. and Gregory M. J. (1999). Evaluating the use of "Goodness-of-Fit" measures in hydrologic and hydroclimatic model validation, Water Resources Research, 35(1), 233-241.10.1029/1998WR900018Search in Google Scholar

Dong D., Fang P., Bock Y., Cheng M. K., and Miyazaki S. (2002). Anatomy of apparent seasonal variations from GPS-derived site position time series, J. Geophys. Res, 107 (B4), doi:10.1029/2001JB000573.10.1029/2001JB000573Search in Google Scholar

Hammerstrom D. (1993). Working with neural networks, IEEE Spectrum, July, 46-53.10.1109/6.222230Search in Google Scholar

Han S.-C., Shum C. K., and Braun A. (2005). High-resolution continental water storage recovery from low-low satellite-to-satellite tracking, Journal of Geodynamics, 39, 11-28.10.1016/j.jog.2004.08.002Search in Google Scholar

Haykin S. (1999). Neural Network: A Comprehensive Foundation, Prentice hall, New Jersey.Search in Google Scholar

Khalil A. F., McKee M., Kemblowski M., and Asefa T. (2005). Basin scale water management and forecasting using artificial neural networks, J. American Water Resources Association, 41(1), 195-208.10.1111/j.1752-1688.2005.tb03728.xSearch in Google Scholar

Mathworks, Inc., 2004. Matlab 7.0 (Release 14 http://www.mathworks.comSearch in Google Scholar

Takle E. S., Jha M., and Anderson C. J. (2005). Hydrological cycle in the upper Mississippi River basin: 20th century simulations by multiple GCMs, Geophys. Res. Lett., 32, L18407, doi:10.1029/2005GL023630.10.1029/2005GL023630Search in Google Scholar

Tapley B. D., Bettadpur S., Ries J. C., Thompson P. F., and Watkins M. M. (2004). GRACE measurements of mass variability in the Earth system, Science, 305(5683), doi:10.1126/science.1099192.10.1126/science.109919215273390Search in Google Scholar

van Dam T. M., Wahr J. M., Milly P. C. D., Shmakin A. B., Blewitt G., Lavallee D., and Larson K. M. (2001). Crustal displacements due to continental water loading, Geophys. Res. Lett., 28, 651-654.10.1029/2000GL012120Search in Google Scholar

Velicogna I., Wahr J., Hanna E., and Huybrechts P. (2005). Short term mass variability in Greenland, from GRACE, Geophys. Res. Lett., 32, L05501, doi:10.1029/2004GL021948.10.1029/2004GL021948Search in Google Scholar

Wasserman P. (1993). Advanced methods in neural computing, Van Nostrand Reinhold, New York, 255pp.Search in Google Scholar

Wilson R. W. and Chen J. (2003). The Hydrology Bureau of the Global Geophysical Fluids Center. In: Richter et al. (eds.), IERS Technical Note No. 30. Proc. IERS Workshop on Combination Research and Global Geophysical Fluids, ISBN 3-89888-877-0, 153-156.Search in Google Scholar