The following 7 publications cited the product USGS Hydro-Climatic Data Network (HCDN) Streamflow Data, 1874-1988.
Year | Citation |
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2022 | Hwang, J. and N. Devineni. 2022. An Improved Zhang's Dynamic Water Balance Model Using Budyko-Based Snow Representation for Better Streamflow Predictions. Water Resources Research. 58(1): https://doi.org/10.1029/2021WR030203 |
2015 | Wang, H., A. Sankarasubramanian, and R.S. Ranjithan. 2015. Understanding the low-frequency variability in hydroclimatic attributes over the southeastern US. Journal of Hydrology. 521:170-181. https://doi.org/10.1016/j.jhydrol.2014.09.081 |
2011 | Gray, S.T., J.J. Lukas, and C.A. Woodhouse. 2011. Millennial-Length Records of Streamflow From Three Major Upper Colorado River Tributaries1. JAWRA Journal of the American Water Resources Association. 47(4):702-712. https://doi.org/10.1111/j.1752-1688.2011.00535.x |
2009 | Watson, T.A., F. Anthony Barnett, S.T. Gray, and G.A. Tootle. 2009. Reconstructed Streamflows for the Headwaters of the Wind River, Wyoming, United States. JAWRA Journal of the American Water Resources Association. 45(1):224-236. https://doi.org/10.1111/j.1752-1688.2008.00274.x |
2002 | Sankarasubramanian, A. and R.M. Vogel. 2002. Annual hydroclimatology of the United States. Water Resources Research. 38(6):19-1-19-12. https://doi.org/10.1029/2001wr000619 |
2001 | Crave, A. and P. Davy. 2001. A stochastic "precipiton" model for simulating erosion/sedimentation dynamics. Computers & Geosciences. 27(7):815-827. https://doi.org/10.1016/s0098-3004(00)00167-9 https://doi.org/10.1016/s0098-3004(00)00167-9 |
2000 | RADZIEJEWSKI, M., A. BARDOSSY, and Z.W. KUNDZEWICZ. 2000. Detection of change in river flow using phase randomization. Hydrological Sciences Journal. 45(4):547-558. https://doi.org/10.1080/02626660009492356 |