Seth Siefken is a civil engineer based in Helena, Montana. He's been working with USGS since fall 2018, where his projects have included flood frequency analysis, water quality monitoring, writing software, and data collection in the field.
Education and Certifications
M.S. Civil Engineering, Colorado State University, Fort Collins, CO, 2019
B.S. Civil Engineering, Montana State University, Bozeman, MT, 2017 (minor in Mathematics)
Seth is a licensed professional engineer in Montana.
Science and Products
Developing CE-QUAL-W2 Models of the Kootenai River and Koocanusa Reservoir, Montana and Idaho
Building a framework to compute continuous grids of basin characteristics for the conterminous United States
Peak-Flow Frequency Analysis for Selected Montana Streamgages
Peak-flow frequency analyses for selected streamgages in and near Teton County, Montana, based on data through water year 2019
Peak-flow frequency analyses for selected streamgages in and near Powell County, Montana, based on data through water year 2019
Peak-flow frequency analyses for selected streamgages in and near the Milk River Basin, Montana, based on data through water year 2018, Part 1
Channel geometry for upstream and downstream cross sections at selected bridge sites in Montana, 2020
Peak-flow frequency analyses for selected streamgages in Carbon County, Montana, based on data through water year 2018
Peak Flow Frequency R Extensions Software Release
Siefken, S.A., McCarthy, P.M., 2021, Peak Flow Frequency R Extensions: U.S. Geological Survey Software Release, DOI: https://doi.org/10.5066/P99ETAVR
Flow-Conditioned Parameter Grid Tools
The Flow-Conditioned Parameter Grid (FCPG) Tools are a Python 3 library to make FCPGs for either two-digit Hydrologic Unit Code (HUC2) regions, four-digit Hydrologic Unit Code (HUC4) regions, or other geospatial tiling schemes. These tools can be used in a Linux-based high performance computing (HPC) environment or locally on your system.
Science and Products
- Science
Developing CE-QUAL-W2 Models of the Kootenai River and Koocanusa Reservoir, Montana and Idaho
The construction and operation of Libby Dam, a U.S. Army Corps of Engineers (USACE) project located in northwestern Montana, has altered the natural hydrograph, thermal regime, sediment transport, and nutrient loadings on the Kootenai River. Dam operation impacts riverine ecosystem function and many fish species, including the federally endangered Kootenai River White Sturgeon and federally...Building a framework to compute continuous grids of basin characteristics for the conterminous United States
The proposed work will create a seamless pilot dataset of continuous basin characteristics (for example upstream average precipitation, elevation, or dominant land cover type) for the conterminous United States. Basin characteristic data are necessary for training or parameterizing statistical, machine learning, and physical models, and for making predictions across the landscape, particularly inPeak-Flow Frequency Analysis for Selected Montana Streamgages
Peak-flow frequency information is needed for flood-plain mapping, design of highway infrastructure, and many other purposes across Montana. The USGS Wyoming-Montana Water Science Center has an ongoing project working to update peak-flow frequency estimates at USGS streamgages across the state. - Data
Peak-flow frequency analyses for selected streamgages in and near Teton County, Montana, based on data through water year 2019
The USGS Wyoming-Montana Water Science Center (WY-MT WSC) completed a report (Sando and McCarthy, 2018) documenting methods for peak-flow frequency analysis following implementation of the Bulletin 17C guidelines. The methods are used to provide estimates of peak-flow quantiles for 66.7-, 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for selected stPeak-flow frequency analyses for selected streamgages in and near Powell County, Montana, based on data through water year 2019
The USGS Wyoming-Montana Water Science Center (WY-MT WSC) completed a report (Sando and McCarthy, 2018) documenting methods for peak-flow frequency analysis following implementation of the Bulletin 17C guidelines. The methods are used to provide estimates of peak-flow quantiles for 66.7-, 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for selected stPeak-flow frequency analyses for selected streamgages in and near the Milk River Basin, Montana, based on data through water year 2018, Part 1
The USGS Wyoming-Montana Water Science Center (WY?MT WSC) completed a report (Sando and McCarthy, 2018) documenting methods for peak-flow frequency analysis following implementation of the Bulletin 17C guidelines. The methods are used to provide estimates of peak-flow quantiles for 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for selected streamgagChannel geometry for upstream and downstream cross sections at selected bridge sites in Montana, 2020
The U.S. Geological Survey, in cooperation with the Montana Department of Transportation (MDT), collected cross-section data on the upstream and downstream sides at selected bridges in Montana during the 2020 calendar year. The purpose of the data collection is to determine if scour and channel instability occur in the vicinity of the bridge structures. Data were processed, analyzed, and compiledPeak-flow frequency analyses for selected streamgages in Carbon County, Montana, based on data through water year 2018
The USGS Wyoming-Montana Water Science Center (WY-MT WSC) documented (Sando and McCarthy, 2018) methods for peak-flow frequency analysis following implementation of the Bulletin 17C guidelines. The methods are used to provide estimates of peak-flow quantiles for 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for selected streamgages operated by the W - Software
Peak Flow Frequency R Extensions Software Release
Siefken, S.A., McCarthy, P.M., 2021, Peak Flow Frequency R Extensions: U.S. Geological Survey Software Release, DOI: https://doi.org/10.5066/P99ETAVR
Flow-Conditioned Parameter Grid Tools
The Flow-Conditioned Parameter Grid (FCPG) Tools are a Python 3 library to make FCPGs for either two-digit Hydrologic Unit Code (HUC2) regions, four-digit Hydrologic Unit Code (HUC4) regions, or other geospatial tiling schemes. These tools can be used in a Linux-based high performance computing (HPC) environment or locally on your system.