Flood-frequency data for select sites in the Esopus Creek Watershed, New York

This U.S. Geological Survey (USGS) data release contains batch formatted annual peak streamflow data (PkFlows_AllSites.txt) for the respective periods of record (through the 2020 or 2021 water year) for seven USGS streamgages in the upper Esopus Creek watershed in upstate New York. This data release also contains batch formatted specification (PkFlows_AllSites.psf) and output (PEAKFLOWS_ALLSITES.PRT) files from log-Pearson type III (LPIII) flood-frequency analysis of the annual peak streamflow data from version 7.3 of the USGS PeakFQ software (https://water.usgs.gov/software/PeakFQ/), and a csv file (FloodFrequencyEstimates.csv) with estimates of flood magnitudes for selected annual exceedance probabilities from three different types of flood-frequency analysis (LPIII, regional regression equations, and weighted LPIII). Annual peak streamflow data were obtained from the USGS National Water Information System (https://nwis.waterdata.usgs.gov/usa/nwis/peak). The station skew option was used in the PeakFQ LPIII analyses of all seven streamgages. Regional regression estimates were obtained for the locations of the streamgages using the StreamStats web application (https://streamstats.usgs.gov/ss/), which utilizes the regional regression equations presented in Lumia and others (2006). The weighted LPIII estimates are the LPIII estimates weighted with the regional regression estimates (Lumia and others (2006), equation 3) and are considered the most accurate of the three types of flood-frequency estimates . For this analysis, stationarity in the annual peak streamflow records was assumed after visual inspection of the records indicated no clear trends.

                                            [
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                                            {
  "fn": "Alexander P Graziano",
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                                            [
  "Catskill Mountains",
  "Esopus Creek",
  "New York",
  "USGS:6273dc6dd34e8d45aa6e1d8b",
  "floods",
  "hydrology",
  "streamflow",
  "water resources"
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