Hillslope River Routing (HRR) Model
Below are publications discribing the HRR model. source code and processing scripts will be avaiable shortly.
Beighley, R. E., K. G. Eggert, T. Dunne, Y. He, V. Gummadi, and K. L. Verdin (2009), Simulating hydrologic and hydraulic processes throughout the Amazon River Basin, Hydrological Processes, 23(8), 1221-1235.
Beighley, R. E., R. L. Ray, Y. He, H. Lee, L. Schaller, K. M. Andreadis, M. Durand, D. E. Alsdorf, and C. K. Shum (2011), Comparing satellite derived precipitation datasets using the Hillslope River Routing (HRR) model in the Congo River Basin, Hydrological Processes, 25(20), 3216-3229.
Beighley, R. E., K. Eggert, C. J. Wilson, J. C. Rowland, and H. Lee (2014), A hydrologic routing model suitable for climate scale simulations of arctic rivers: application to the Mackenzie River Basin, Hydrological Processes, 10.1002/hyp.10398.
Ramadan, H. H., R. E. Beighley, and A. S. Ramamurthy (2012), Modelling streamflow trends for a watershed with limited data: case of the Litani basin, Lebanon, Hydrological Sciences Journal, 57(8), 1516-1529.
Seyyedi, H., E. N. Anagnostou, R. E. Beighley, and J. McCollum (2014), Satellite-driven downscaling of global reanalysis precipitation products for hydrological applications, Hydrol. Earth Syst. Sci. Discuss., 11(7), 9067-9112.
Seyyedi, H., E. N. Anagnostou, R. E. Beighley, and J. McCollum (2015), Hydrologic Evaluation of Satellite and Reanalysis Precipitation Datasets over a Mid-Latitude Basin, Atmospheric Research (http://dx.doi.org/10.1016/j.atmosres.2015.03.019).
Yoon, Y., and R. E. Beighley (2014), Simulating streamflow on regulated rivers using characteristic reservoir storage patterns derived from synthetic remote sensing data, Hydrological Processes, (in press).