scholarly journals Simulation experiments comparing nonstationary design-flood adjustments based on observed annual peak flows in the conterminous United States

2021 ◽  
pp. 100115
Author(s):  
Jory S. Hecht ◽  
Nancy A. Barth ◽  
Karen R. Ryberg ◽  
Angela E. Gregory
Keyword(s):  
United States ◽  
Design Flood ◽  
Simulation Experiments ◽  
Peak Flows ◽  
Annual Peak

Long-term dependence in annual peak flows of Canadian rivers

1994 ◽  
Vol 160 (1-4) ◽  
pp. 89-103 ◽  
Author(s):  
L.M. Lye ◽  
Yude Lin
Keyword(s):  
Peak Flows ◽  
Annual Peak

Using Artificial Neural Networks to Fill-in Missing Annual Peak Flows

2007 ◽  
Author(s):  
Steven K. Starrett ◽  
Shelli K. Starrett ◽  
Travis Heier ◽  
Yunsheng Su ◽  
Denny Tuan ◽  
...  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Peak Flows ◽  
Annual Peak ◽  
Artificial Neural

scholarly journals Verification of empirical formulas for calculating annual peak flows with specific return period in the upper Vistula basin

2018 ◽  
Vol 2 ◽  
pp. 145-154 ◽  
Author(s):  
Dariusz Młyński ◽  
◽  
Andrzej Wałęga ◽  
Andrea Petroselli ◽  
◽  
...  
Keyword(s):  
Return Period ◽  
Empirical Formulas ◽  
Peak Flows ◽  
Annual Peak

scholarly journals Use of Observing System Simulation Experiments in the United States

2020 ◽  
Vol 101 (8) ◽  
pp. E1427-E1438 ◽  
Author(s):  
Xubin Zeng ◽  
Robert Atlas ◽  
Ronald J. Birk ◽  
Frederick H. Carr ◽  
Matthew J. Carrier ◽  
...  
Keyword(s):  
United States ◽  
Task Force ◽  
System Simulation ◽  
Forecast Model ◽  
The United States ◽  
White Paper ◽  
Current Data ◽  
Simulation Experiments ◽  
Science Advisory ◽  
The Impact

Abstract The NOAA Science Advisory Board appointed a task force to prepare a white paper on the use of observing system simulation experiments (OSSEs). Considering the importance and timeliness of this topic and based on this white paper, here we briefly review the use of OSSEs in the United States, discuss their values and limitations, and develop five recommendations for moving forward: national coordination of relevant research efforts, acceleration of OSSE development for Earth system models, consideration of the potential impact on OSSEs of deficiencies in the current data assimilation and prediction system, innovative and new applications of OSSEs, and extension of OSSEs to societal impacts. OSSEs can be complemented by calculations of forecast sensitivity to observations, which simultaneously evaluate the impact of different observation types in a forecast model system.

scholarly journals Generalized Skew Coefficients of Annual Peak Flows for Rural, Unregulated Streams in West Virginia

2009 ◽  
Author(s):  
John T. Atkins ◽  
Jeffrey B. Wiley ◽  
Katherine S. Paybins
Keyword(s):  
West Virginia ◽  
Peak Flows ◽  
Annual Peak

scholarly journals Estimating Generalised Flood Sew Coeficients for Peninsular Malaysia

2016 ◽  
Vol 77 (1) ◽  
Author(s):  
David Hong Jer Lang ◽  
Amirah Hanim bt. Mohd Puad ◽  
INTAN SHAFILIAH BT. ABDULAZIA ◽  
HONG KEE AN
Keyword(s):  
United States ◽  
The United States ◽  
Prediction Equation ◽  
Peninsular Malaysia ◽  
Mean Square ◽  
Annual Peak ◽  
Pearson Type ◽  
Log10 Unit ◽  
Type 3 ◽  
Peak Discharges

Flood estimations based on itting the frequency of occurrence of annual peak discharges using the Log-Pearson Type 3 distribution are commonly used but they are sensitive to the skew coeficients of the gauging stations. The estimation accuracy can be improved by using a weighted average population skew coeficient calculated from the sample station skew and the generalised unbiased skew. The U.S. Water Resources Council (WRC) has documented guidelines for estimating the generalised skew coeficients and published a map of generalised skew values for the United States. The map shows isolines of skew coeficient values and the average skew coeficient for each 1-degree quadrangle of latitude and longitude for the United States. Following the WRC guidelines, many of the state authorities in the US have developed the generalised skew coeficients separately on a state/regional basis. In Malaysia, the Log Pearson Type 3 distribution has been widely used for lood peakestimation but there are no guidelines available for estimating the generalised skew coeficients for use in con–unction with the distribution and as more accurate results can be obtained if these data are available, it is clear that a regional lood skew study is needed. With the regional sew data available, the peak low can be simply and easily calculated with the aid of a software such as HEC-SSP. The aim of this paper is to use the WRC guidelines to derive the generalised skew coeficients using the peakannual discharge data of Peninsular Malaysia for general use.The WRC recommended several techniques for estimating and evaluating generalised s—ew of the Log-Pearson Type 3 distribution for the annual peakdischarges. Station skews (skew coeficients computed from gauging station records) and unbiased and weighted skews derived from these station skews are to be used to develop these techniques. In this study, peak discharge records at 66 gauging stations having 16 or more annual peak discharges in Peninsular Malaysia were selected for computing station skews. Station skew values ranged from -0.831(log10 unit) to 1.475 (log10 unit).The three techniques recommended by WRC used for estimating the generalised skew of annual peak discharges were adopted for this study. These methods are: (1) An isoline map, (2) a prediction equation (3) a regional mean skew. Attempts to develop a prediction equation were unsuccessful. An error analysis showed that the regional mean skew method has a lower MSE (mean square error) than that obtained from the state wide generalised skew coeficient contour map. As a result, the mean station skew for the selected gauging stations can be used to estimate the generalised skew for any gauging site in the peninsula.The mean skew is -0.022 (log10 unit) and the associated mean square error is 0.05 (log10 unit).

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