by Dept. of Commerce, National Oceanic and Atmospheric Administration, National Weather Service in Silver Spring, Md .
Written in English
|Statement||Walter T. Sittner and Kay M. Krouse|
|Series||NOAA technical memorandum ; NWS HYDRO-38, NOAA S/T ; 79-39|
|Contributions||Krouse, Kay M., joint author, United States. National Weather Service|
|The Physical Object|
|Pagination||viii, 125, A-20 p. :|
|Number of Pages||125|
The hydrologic simulation, revised on the basis of observed river stage or discharge, is what constitutes the forecast. Thus, observed river stage is normally one of the i nputs to a forecast, but it is not an input to the hydrologic model since it has no effect on the output of that model. Improvement of hydrologic simulation by utilizing observed discharge as an indirect input: (Computed Hydrograph Adjustment Technique-- CHAT) Personal Author: Sittner, Walter T.; Krouse, Kay M.;Cited by: 1. Improvement of Hydrologic simulation by utilizing observed discharge as an indirect input. NOAA Tech. Memo. NWS HYDRO, Silver Spring, MD. • Carroll, A procedure to incorporate snow. The final fit with the observed Liard discharge at its outlet is R N 2 = Streamflow simulated using the CMC data shows a reasonable fit with measured discharge at the Upper Crossing (R N 2 = ) even though there are many spiky peaks .
Model calibration is a demonstration that the model is capable of reproducing field-observed values of various hydrologic variables (e.g., streamflow, soil moisture, and well-observed groundwater level) (Figure 3). Prediction of various hydrologic variables based on an uncalibrated flow model are sterile and undefensible. Both studies used indirect peak discharge estimated from the USGS to compare with hydrologic model results, and both found model parameter settings using event-based forcing from the polarimetric radar-rainfall estimates; that is, the model parameters settings . Walter T Sittner has written: 'Improvement of hydrologic simulation by utilizing observed discharge as an indirect input' -- subject(s): Hydrography, Hydrologic models, Flood forecasting, Data. The current era of satellite remote sensing has provided unprecedented opportunities for the monitoring and prediction of Earth’s terrestrial water conditions (Wood et al. ).As a part of the effort to establish the Earth Observing System, a growing number of satellite-based, quasi-global precipitation datasets have been developed and routinely released during the past decade (Ebert et al.
• Timeseries plots of observed and simulated values for fluxes (e.g., flow) or state variables (e.g., stage, sediment concentration, biomass concentration) • Observed and simulated scatter plots, with 45o linear regression line displayed, for fluxes or state variables • Cumulative frequency distributions of observed and . using the hydrologic simulation code Hydrologic Engineering Center- Hydrolo gic Modeling System (HEC-HMS)  as compared to gauge-only simul ations for two basins in central Tennessee, USA. hydrologic/hydraulic analytical model capable of performing a continuous simulation of peak flow rates based on local rainfall data as presented in the Design Storm Distribution Chart (Table ) shall be used to determine the peak. The observed data had a greater effect on the hydrologic parameters LZSN-cropland and DEEPFR than the water quality parameters ACCUM-pasture and FSTDEC because the observed data for flow were available for the entire simulation period (1, days), whereas observed FC concentration data were available for only 90 days of the period.