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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 streamgages operated by the WY–MT WSC. This data release presents peak-flow frequency analyses for selected streamgages in and near the Milk River Basin, Montana, that were based on methods described by Sando and McCarthy (2018).
The U.S. Geological Survey (USGS), in cooperation with the Puerto Rico Environmental Quality Board, has compiled a series of geospatial datasets for Puerto Rico to be implemented into the USGS StreamStats application (https://streamstats.usgs.gov/ss/). These geospatial datasets, along with basin characteristics datasets for Puerto Rico published as a separate USGS data release (https://doi.org/10.5066/P9HK9SSQ), were used to delineate watersheds and develop the peak-flow and low-flow regression equations used by StreamStats.
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The U.S. Geological Survey (USGS), in cooperation with the Puerto Rico Environmental Quality Board, has compiled a series of geospatial datasets for Puerto Rico to be implemented into the USGS StreamStats application (https://streamstats.usgs.gov/ss/). These geospatial datasets, along with basin characteristics datasets for Puerto Rico published as a separate USGS data release (https://doi.org/10.5066/P9HK9SSQ), were used to delineate watersheds and develop the peak-flow and low-flow regression equations used by StreamStats. The geodatabase described herein are the seven layers: BatchPoint, huc_net_Junctions, HUCLongestFlowPath, hucpoly, Point3D, Slp1085Point, StreamLayer, streams, and Streams3D.
Increased irrigation in Kansas and other regions during the last several decades has caused serious water depletion, making the development of comprehensive strategies and tools to resolve such problems increasingly important. This paper makes the case for an intermediate complexity, quasi-distributed, comprehensive, large-watershed model, which falls between the fully distributed, physically based hydrological modeling system of the type of the SHE model and the lumped, conceptual rainfall-runoff modeling system of the type of the Stanford watershed model. This is achieved by integrating the quasi-distributed watershed model SWAT with the fully-distributed ground-water model MODFLOW. The advantage of this approach...
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This dataset consists of flow accumulation rasters for each 4-digit Hydrologic Unit Code (HUC) area in Maine (0101, 0102, 0103, 0104, 0105, and 0106). Each raster shows the number of upstream cells flowing into each 10-meter cell. The flow accumulation tasters may be used along with the accompanying data layers in this data release to delineate watersheds within the HUC-4 areas.
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This dataset consists of flow direction rasters for each 4-digit Hydrologic Unit Code (HUC) area in Maine (0101, 0102, 0103, 0104, 0105, and 0106). The cell size of each raster is 10 meters, and the eight integer values indicate the predicted direction of flow based on direction of steepest drop. The flow direction rasters may be used along with the accompanying data layers in this data release to delineate watersheds within the HUC-4 areas.
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This data release contains monthly 270-meter resolution Basin Characterization Model (BCMv8) climate and hydrologic variables for Localized Constructed Analog (LOCA; Pierce et al., 2014)-downscaled HadGEM2-CC Global Climate Model (GCM) for Representative Concentration Pathway (RCP) 4.5 (medium-low emissions) and 8.5 (high emissions) for hydrologic California. The LOCA climate scenarios span water years 1950 to 2099 with greenhouse-gas forcings beginning in 2006. The LOCA downscaling method has been shown to produce better estimates of extreme events and reduces the common downscaling problem of too many low-precipitation days (Pierce et al., 2014). Ten GCMs were selected from the full ensemble of models from the...
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This data release contains monthly 270-meter resolution Basin Characterization Model (BCMv8) climate and hydrologic variables for Localized Constructed Analog (LOCA; Pierce et al., 2014)-downscaled HadGEM2-ES Global Climate Model (GCM) for Representative Concentration Pathway (RCP) 4.5 (medium-low emissions) and 8.5 (high emissions) for hydrologic California. The LOCA climate scenarios span water years 1950 to 2099 with greenhouse-gas forcings beginning in 2006. The LOCA downscaling method has been shown to produce better estimates of extreme events and reduces the common downscaling problem of too many low-precipitation days (Pierce et al., 2014). Ten GCMs were selected from the full ensemble of models from the...
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This data release contains monthly 270-meter gridded Basin Characterization Model (BCMv8) climate inputs and hydrologic outputs for Smith (SM). Gridded climate inputs include: precipitation (ppt), minimum temperature (tmn), maximum temperature (tmx), and potential evapotranspiration (pet). Gridded hydrologic variables include: actual evapotranspiration (aet), climatic water deficit (cwd), snowpack (pck), recharge (rch), runoff (run), and soil storage (str). The units for temperature variables are degrees Celsius, and all other variables are in millimeters. Monthly historical variables from water years 1896 to 2019 are summarized into water year files and long-term average summaries for water years 1981-2010. Four...
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Executive Summary: Riparian ecosystems are vital components of the semi-arid landscape because woody riparian plants provide resources that are absent in adjacent vegetation types. Historically, flood played a key role in shaping the composition and structure of riparian forests. In recent decades, however, the frequency and magnitude of floods has decreased and the timing of peak discharge has been altered. In addition, wildfire has increased in importance as an agent of disturbance along many streams. We initiated this study to increase our understanding of fire, flood, and drought processes at our Middle Rio Grande study sites and develop tools that managers of other systems can use to project the response of...
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This dataset contains information regarding where management should prioritize conservation efforts in the Hawaiian Island of Maui given current conditions and projected future conditions due to climate change. This dataset is an aggregation of many different datasets looking at the ecological and socio-cultural information inland and around the coast of the island.
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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).
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This USGS Data Release represents geospatial and tabular data for the Nisqually River Delta historical habitat mapping. The data release was produced in compliance with the new 'open data' requirements as a way to make the scientific products associated with USGS research efforts and publications available to the public. The dataset consists of 9 separate items: 1. Forest Change (raster dataset) 2. Forest Type Change (raster dataset) 3. Functional Pathway Change (raster dataset) 4. 1957 Habitat Map (raster dataset) 5. 1980 Habitat Map (raster dataset) 6. 2015 Habitat Map (raster dataset) 7. 1980 Species Map (raster dataset) 8. 2015 Species Map (raster dataset) 9. Wetland Change (raster dataset) These data support...
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The U.S. Geological Survey (USGS), in cooperation with the Puerto Rico Environmental Quality Board, has compiled a series of geospatial datasets for Puerto Rico to be implemented into the USGS StreamStats application (https://streamstats.usgs.gov/ss/). These geospatial datasets, along with basin characteristics datasets for Puerto Rico published as a separate USGS data release (https://doi.org/10.5066/P9HK9SSQ), were used to delineate watersheds and develop the peak-flow and low-flow regression equations used by StreamStats. The geospatial dataset described herein are the sink link rasters at a 10-m resolution. The Pre-HydroDEM tool creates the sink link raster and assigns a unique numeric value to areas with deranged...
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Streamflow data and statistics are vitally important for proper protection and management of both the water quality and water quantity of Alabama streams. Such data and statistics are available at U.S. Geological Survey streamflow-gaging stations, also referred to as streamgages or stations, but are often needed at ungaged stream locations. To address this need, the U.S. Geological Survey, in cooperation with numerous Alabama State agencies and organizations, developed regional regression equations for estimating selected low-flow frequency statistics and mean annual flow for ungaged locations in Alabama that are not substantially affected by tides, regulation, diversions, or other anthropogenic influences. This...
Mass wasting and channel incision are widespread in the Nemadji River watershed of eastern Minnesota and northwestern Wisconsin. While much of this is a natural response to glacial rebound, sediment coring and tree ring data suggest that land use has also influenced these erosional processes. We characterized land use, inventoried mass wasting, surveyed stream channels and collected discharge data along segments of five streams in the Nemadji River watershed. Due to natural relief in this region, wetlands and agricultural lands are concentrated in the flatter terrain of the uplands of the Nemadji watershed, while forestland (coniferous or deciduous) is concentrated in the deeply incised (50–200% slope) stream valleys....
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This file (wymt_ffa_2019Teton_WATSTORE.txt) contains peak flow data for peak-flow frequency analyses for selected streamgages in and near Teton 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).
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This file (wymt_ffa_2018E_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).


map background search result map search result map Historical Time-series Classification of Habitat for 1957, 1980 and 2015 in the Nisqually River Delta, Washington Final Reports: Modeling Woody Plant Regeneration and Debris Accumulation under Future Streamflow and Wildfire Scenarios in the DLCC Geospatial Datasets for Watershed Delineation Used in the Development of the USGS StreamStats Application for Puerto Rico Sink link rasters for Puerto Rico StreamStats Statewide geodatabase layers for Puerto Rico StreamStats Supporting Data for Estimating Selected Low-Flow Frequency Statistics and Mean Annual Flow for Ungaged Locations on Streams in Alabama (ver. 1.1, November 2020) Peak-flow frequency analyses for selected streamgages in and near the Milk River Basin, Montana, based on data through water year 2018, Part 1 WATSTORE Peak flow data for peak-flow frequency analyses for selected streamgages in and near Teton County, Montana, based on data through water year 2019 PeakFQ version 7.4 specifications file for peak-flow frequency analyses for selected streamgages in and near the Milk River Basin, Montana, based on data through water year 2018, part 2 WATSTORE 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, part 2 Smith Monthly BCMv8 PeakFQ version 7.4 specifications file for peak-flow frequency analyses for selected streamgages on tributaries of the Bighorn, Tongue, and Lower Yellowstone Rivers, based on data through water year 2021 Flow Accumulation Raster for Maine StreamStats Flow Direction Raster for Maine StreamStats Land Prioritization for the Conservation of Aquatic Ecosystems of Maui in Hawaiʻi, Computed through Zonation Results of peak-flow frequency analyses for selected streamgages in the Upper Yellowstone River Basin, based on data through water year 2022 Future Climate and Hydrology from the Basin Characterization Model (BCMv8) using LOCA-downscaled Global Climate Model HadGEM2-ES Future Climate and Hydrology from the Basin Characterization Model (BCMv8) using LOCA-downscaled Global Climate Model HadGEM2-CC Land Prioritization for the Conservation of Aquatic Ecosystems of Maui in Hawaiʻi, Computed through Zonation Smith Monthly BCMv8 Historical Time-series Classification of Habitat for 1957, 1980 and 2015 in the Nisqually River Delta, Washington WATSTORE Peak flow data for peak-flow frequency analyses for selected streamgages in and near Teton County, Montana, based on data through water year 2019 Geospatial Datasets for Watershed Delineation Used in the Development of the USGS StreamStats Application for Puerto Rico Sink link rasters for Puerto Rico StreamStats Statewide geodatabase layers for Puerto Rico StreamStats PeakFQ version 7.4 specifications file for peak-flow frequency analyses for selected streamgages on tributaries of the Bighorn, Tongue, and Lower Yellowstone Rivers, based on data through water year 2021 Results of peak-flow frequency analyses for selected streamgages in the Upper Yellowstone River Basin, based on data through water year 2022 Final Reports: Modeling Woody Plant Regeneration and Debris Accumulation under Future Streamflow and Wildfire Scenarios in the DLCC PeakFQ version 7.4 specifications file for peak-flow frequency analyses for selected streamgages in and near the Milk River Basin, Montana, based on data through water year 2018, part 2 WATSTORE 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, part 2 Peak-flow frequency analyses for selected streamgages in and near the Milk River Basin, Montana, based on data through water year 2018, Part 1 Flow Accumulation Raster for Maine StreamStats Flow Direction Raster for Maine StreamStats Supporting Data for Estimating Selected Low-Flow Frequency Statistics and Mean Annual Flow for Ungaged Locations on Streams in Alabama (ver. 1.1, November 2020) Future Climate and Hydrology from the Basin Characterization Model (BCMv8) using LOCA-downscaled Global Climate Model HadGEM2-ES Future Climate and Hydrology from the Basin Characterization Model (BCMv8) using LOCA-downscaled Global Climate Model HadGEM2-CC