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Connectivity Scheme

Past experience with various distributed models led to the selection of the connectivity scheme in the current version of HL-RMS.  Methods used by Johnson and Miller (1997),  Johnson (1995),  Zhang (1998), Smith, (1993),  Smith and Brilly (1992), as well as the method used by Koren (Koren et al., 1992; Koren & Barrett, 1995) in the Nile Forecast Distributed System were examined.  Considerable operational short-term and long-term forecasing experience with the scheme by Koren (1992) has proven it to be an efficient approach. Therefore, the initial version of HL-RMS uses the scheme designed by Koren (1992).   It is hoped that the Distributed Model Intercomparison Project (DMIP) will highlight connectivity schemes used by other distributed models.

References

Johnson, D. L., 1995,  " Hydrologic Model for Use with Rasterized Data Structures,"   Thesis submitted in partial fulfillment of Doctor of Philosophy Degree requirements at Penn State University.

Johnson, D.L. and Miller, A., 1997"A Spatially Distributed Hydrologic Model Utilizing Raster Data Structures", Computers & Geosciences, Vol. 23, No. 3, pp 262-272.

Koren, V.I, C. Barrett, J. Schaake, 1992. Nile River Forecast System Models, Nile Technical Note, NILE0054, In NFS 3.0 Reference Manual, V. Koren (Ed.), U.S. Department of Commerce, NOAA, Silver Spring, MD, 14p.

Koren, V., C. B. Barrett, 1995. Satellite Based Distributed Monitoring, Forecasting, and Simulation (MFS) System for the Nile River, In Application of Remote Sensing in Hydrology, Kite G. W. (Ed.), Saskatoon, Saskatchewan, Canada, pp. 187-200.

Smith, M.B., 1993, 'A GIS-Based Distributed Parameter Hydrologic Model for Urban Areas', Hydrological Processes, Vol., 7, pp. 45-61.

Smith, M.B., and Brilly, M., 1992, 'Automated Grid Element Ordering for GIS-Based Overland Flow Modeling', Photogrammetric Engineering and Remote Sensing, Vol. 58, No. 5, May, pp. 579-585.

Zhang, Z., 1998, 'Development of a Spatially Distributed Model of Arctic Thermal and Hydrologic Processes (MATH),  Thesis submitted in partial fulfillment of Doctor of  Philosophy Degree requirements at the University of Alaska, Fairbanks



 
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