Application of a Workflow to Determine the Feasibility of Using Simulated Streamflow for Estimation of Streamflow Frequency Statistics

Author:

Whaling A. R.1ORCID,Sanks K. M.2,Asquith W. H.3,Rodgers K. D.4

Affiliation:

1. Hydrologist, Lower Mississippi-Gulf Water Science Center, US Geological Survey, Fayetteville, AR 72701 (corresponding author). ORCID: .

2. Researcher, Dept. of Earth and Environmental Sciences, Tulane Univ., New Orleans, LA 70118.

3. Research Hydrologist, Oklahoma-Texas Water Science Center, US Geological Survey, Lubbock, TX 79424.

4. Hydrologist, Lower Mississippi-Gulf Water Science Center, US Geological Survey, Little Rock, AR 72211.

Publisher

American Society of Civil Engineers (ASCE)

Reference62 articles.

1. A new look at the statistical model identification

2. Asquith, W. H. 2012. Distributional analysis with L-moment statistics using the R environment for statistical computing. Scotts Valley, CA: Createspace.

3. Asquith W. H. 2020. “RESTORE/fdclmrpplo—Source code for estimation of L-moments and percent no-flow conditions for decadal flow-duration curves and estimation at level-12 hydrologic unit codes along with other statistical computations.” Accessed August 16 2023. https://code.usgs.gov/water/restore/fdclmrpplo.

4. Asquith W. H. 2023. “lmomco—L-moments censored L-moments trimmed L-moments L-comoments and many distributions.” Accessed September 4 2023. https://cran.r-project.org/web/packages/lmomco/index.html.

5. Becker R. A. and A. R. Wilks. 2022. “maps: Draw geographical maps—R version by Ray Brownrigg. Enhancements by Thomas P. Minka and Alex Deckmyn.” Accessed September 4 2023. https://CRAN.R-project.org/package=maps.

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