The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Extended Streamflow Forecasting Using NWSRFS
Abstract
Extended forecasting using the National Weather Service River Forecast System (NWSRFS) is done with the NWS Extended Streamflow Prediction (ESP) program. This paper examines the theory, capabilities, and potential applications of the ESP procedure. ESP uses conceptual hydrologic/hydraulic models to forecast future streamflow using. the current snow, soil moisture, river, and reservoir conditions with historical meteorological data. The ESP procedure assumes that meteorological events that occurred in the past are representative of events that may occur in the future. Each year of historical meteorological data is assumed to be a possible representation of the future and is used to simulate a streamflow trace. The simulated streamflow traces can be scanned for maximum flow, minimum flow, volume of flow, reservoir stage, etc., for any period in the future. ESP produces a probabilistic forecast for each streamflow variable and period of interest. The procedure was originally developed for water supply forecasting in snowmelt areas, but it can also be used to produce spring flood outlooks, forecasts for navigation, inflow hydrographs for reservoir operation, and time series needed for risk analysis during droughts.
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Citations
Cites
National Weather Service river forecast system: snow accumulation and ablation model
Anderson, E. A. (1973) · University of Michigan Library Repository · Cited by 518
NOAA Data Buoy Office Programs
Hamilton, G. D. (1980) · Bulletin of the American Meteorological Society · doi:10.1175/1520-0477(1980)061<1546:sipfit>2.0.co;2 · Cited by 33
Hewson, E. W. (1977) · Bulletin of the American Meteorological Society · doi:10.1175/1520-0477(1977)058<0143:ccipat>2.0.co;2 · Cited by 8
Cited by
Seasonal Drought Prediction: Advances, Challenges, and Future Prospects
Hao, Z., Singh, V. P., & Xia, Y. (2018) · Reviews of Geophysics · doi:10.1002/2016rg000549 · Cited by 607
The Science of NOAA's Operational Hydrologic Ensemble Forecast Service
Demargne, J., Wu, L., Regonda, S. K., Brown, J. D., Lee, H., He, M., Seo, D.-J., Hartman, R., Herr, H. D., Fresch, M., et al. (2014) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-12-00081.1 · Cited by 324
Real-Time Precipitation Estimation Based on Index Station Percentiles*
Tang, Q., Wood, A. W., & Lettenmaier, D. P. (2009) · Journal of Hydrometeorology · doi:10.1175/2008jhm1017.1 · Cited by 19
Metadata
- Authors
- Day, G. N.
- Venue
- Journal of Water Resources Planning and Management
- Published
- 1985-04
- Volume
- 111
- Issue
- 2
- Pages
- 157-170
- ISSN
- 0733-9496 (ISSN-L)
- 1943-5452
- DOI
- 10.1061/(asce)0733-9496(1985)111:2(157
- OpenAlex
- W2050590406
- Cited by
- 522
- References
- 3
- FWCI
- 3.17
- Type
- journal article
- Language
- en
- Open access
- closed
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