Streamflow Statistics Based on Data through Water Year 2021 for Selected Streamgages in and near Wyoming
January 3, 2025
The U.S. Geological Survey (USGS), in cooperation with the Wyoming Water Development Office, developed streamflow statistics for active (through September 30, 2021) and discontinued USGS streamgages in and near Wyoming with 10 or more years of daily mean streamflow record. Streamflow at each streamgage was assessed for degree of human alteration owing to dams and diversions before streamflow statistics were computed. The computation of streamflow statistics for USGS streamgages is part of a larger study to develop a StreamStats application (https://www.usgs.gov/streamstats) for the State of Wyoming (https://www.usgs.gov/centers/wyoming-montana-water-science-center/scien…). StreamStats is a web-based computer program that can be used to delineate drainage areas, determine basin characteristics, and compute streamflow statistics at locations with and without streamgages. Methods used to compute the summary statistics contained in this data release are described in an accompanying report (Armstrong and others, 2025).
Daily mean streamflow records from 631 streamgages were used to compute basic, seasonal, and flow-duration statistics; streamflow records for 390 streamgages were used to compute n-day statistics, which are streamflow statistics describing streamflow over a number of days (n), and statistics that can be used for regional regression. The daily mean streamflow data used to compute statistics and an accompanying table describing the characteristics of the streamgages used in the analysis are provided under child item "Daily mean streamflows for selected streamgages in and near Wyoming." The streamflow statistics are provided under child item "Streamflow statistics for selected streamgages in and near Wyoming."
Daily mean streamflow records from 631 streamgages were used to compute basic, seasonal, and flow-duration statistics; streamflow records for 390 streamgages were used to compute n-day statistics, which are streamflow statistics describing streamflow over a number of days (n), and statistics that can be used for regional regression. The daily mean streamflow data used to compute statistics and an accompanying table describing the characteristics of the streamgages used in the analysis are provided under child item "Daily mean streamflows for selected streamgages in and near Wyoming." The streamflow statistics are provided under child item "Streamflow statistics for selected streamgages in and near Wyoming."
Citation Information
Publication Year | 2025 |
---|---|
Title | Streamflow Statistics Based on Data through Water Year 2021 for Selected Streamgages in and near Wyoming |
DOI | 10.5066/P9E3LEG6 |
Authors | Daniel W Armstrong, David A Lange, Katherine J Chase |
Product Type | Data Release |
Record Source | USGS Asset Identifier Service (AIS) |
USGS Organization | Wyoming-Montana Water Science Center - Helena Office |
Rights | This work is marked with CC0 1.0 Universal |
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Methods to determine streamflow statistics based on data through water year 2021 for selected streamgages in or near Wyoming
The U.S. Geological Survey (USGS), in cooperation with the Wyoming Water Development Office, developed streamflow statistics for streamgages in and near Wyoming. Statistics were computed for active (through September 30, 2021) and discontinued USGS streamgages with 10 or more years of daily mean streamflow record. Streamflow at each streamgage was assessed for degree of human alteration...
Authors
Daniel W. Armstrong, David A. Lange, Katherine J. Chase
Related
Methods to determine streamflow statistics based on data through water year 2021 for selected streamgages in or near Wyoming
The U.S. Geological Survey (USGS), in cooperation with the Wyoming Water Development Office, developed streamflow statistics for streamgages in and near Wyoming. Statistics were computed for active (through September 30, 2021) and discontinued USGS streamgages with 10 or more years of daily mean streamflow record. Streamflow at each streamgage was assessed for degree of human alteration...
Authors
Daniel W. Armstrong, David A. Lange, Katherine J. Chase