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Peak-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 streamgages operated by the WY–MT WSC. This data release presents peak-flow frequency analyses for selected streamgages in and near Powell County, Montana, that were based on methods described by Sando and McCarthy (2018).
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Peak-flow frequency analyses for selected streamgages in and near Powell County, Montana, based on data through water year 2019
공공데이터포털
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 streamgages operated by the WY–MT WSC. This data release presents peak-flow frequency analyses for selected streamgages in and near Powell County, Montana, that were based on methods described by Sando and McCarthy (2018).
WATSTORE Peak flow data for peak-flow frequency analyses for selected streamgages in and near Powell County, Montana, based on data through water year 2019
공공데이터포털
This file (wymt_ffa_2019Powell_WATSTORE.txt) contains peak flow data for peak-flow frequency analyses for selected streamgages in and near Powell County, Montana, based on data through water year 2019. The file is in a text format called WATSTORE (National Water Data Storage and Retrieval System) available from NWISWeb (http://nwis.waterdata.usgs.gov/usa/nwis/peak).
WATSTORE Peak flow data for peak-flow frequency analyses for selected streamgages in and near Powell County, Montana, based on data through water year 2019
공공데이터포털
This file (wymt_ffa_2018D_WATSTORE.txt) contains peak flow data for peak-flow frequency analyses for selected streamgages in and near the Milk River Basin, Montana, based on data through water year 2018. The file is in a text format called WATSTORE (National Water Data Storage and Retrieval System) available from NWISWeb (http://nwis.waterdata.usgs.gov/usa/nwis/peak).
WATSTORE Peak flow data for peak-flow frequency analyses for selected streamgages in and near Powell County, Montana, based on data through water year 2019
공공데이터포털
This file (wymt_ffa_2019Powell_WATSTORE.txt) contains peak flow data for peak-flow frequency analyses for selected streamgages in and near Powell County, Montana, based on data through water year 2019. The file is in a text format called WATSTORE (National Water Data Storage and Retrieval System) available from NWISWeb (http://nwis.waterdata.usgs.gov/usa/nwis/peak).
Results of peak-flow frequency analyses for selected streamgages in and near Lincoln County, Montana
공공데이터포털
This file contains results of peak-flow frequency analyses for selected streamgages in and near Lincoln County, Montana, along with information documenting the input data and specifications for the analyses. The analyses were performed using the methods described by Siefken and others (2025).
Peak-flow data for selected streamgages in and near Lincoln County, Montana
공공데이터포털
This file contains peak-flow data in tab-delimited format for selected streamgages based on data through water year 2022. The file was retrieved from the USGS NWIS peak-flow database (https://nwis.waterdata.usgs.gov/usa/nwis/peak).
Results of peak-flow frequency analyses for selected streamgages in the Upper Yellowstone River Basin, based on data through water year 2022
공공데이터포털
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 USGS streamgages. This data release presents peak-flow frequency analyses for selected streamgages in the Upper Yellowstone River Basin, based on data through water year 2022, using methods described by Sando and McCarthy (2018).
Results of peak-flow frequency analyses for selected streamgages in the Upper Yellowstone River Basin, based on data through water year 2022
공공데이터포털
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 USGS streamgages. This data release presents peak-flow frequency analyses for selected streamgages in the Upper Yellowstone River Basin, based on data through water year 2022, using methods described by Sando and McCarthy (2018).
PeakFQ version 7.3 specifications file for peak-flow frequency analyses for selected streamgages in and near Powell County, Montana, based on data through water year 2019
공공데이터포털
This file (wymt_ffa_2019Teton.psf) contains specifications to run PeakFQ for peak-flow frequency analyses for selected streamgages in and near Teton County, Montana, based on data through water year 2019.
PeakFQ version 7.3 specifications file for peak-flow frequency analyses for selected streamgages in and near Powell County, Montana, based on data through water year 2019
공공데이터포털
This file (wymt_ffa_2019Powell.psf) contains specifications to run PeakFQ for peak-flow frequency analyses for selected streamgages in and near Powell County, Montana, based on data through water year 2019.