The U.S. Geological Survey’s StreamStats program is a publicly-accessible web application (https://streamstats.usgs.gov) that can be used to delineate drainage areas, compute basin characteristics, and estimate flow statistics for user-selected locations on streams. StreamStats services are typically implemented at the statewide or watershed scale (referred to as state or basin applications), and although the three core functionalities remain consistent, many states have implemented custom tools to address specific water-resources planning and management needs. In Massachusetts, a watershed-scale application for the Mystic River Basin was developed to support stakeholder efforts to address stormwater challenges in this highly urbanized basin. The Mystic River Basin stormwater functionality was developed by incorporating 1-meter resolution lidar-derived elevation data and municipal storm drain data to accurately represent urban topography and stormwater flow (that is, subsurface piped flow). In the Mystic River Basin application, users can view the network of stormwater pipes and inlets, delineate drainage areas derived from lidar topography and stormwater infrastructure, and compute land-use/land-cover basin characteristics. This data release contains the 1-meter resolution digital elevation model (DEM; dem.tif) and two datasets derived from the DEM that support on-the-fly watershed delineation in the StreamStats web application. The flow direction raster (fdr.tif) is a raster dataset that indicates the direction of flow out of each cell; if the cell contains a stormwater inlet, it is represented as a sink in the flow direction raster. The catchment raster (cat.tif) represents the drainage areas to stormwater inlets and to surface-water flowpaths within the basin. The flow direction and catchment rasters are used in conjunction with the stormwater network to determine the drainage area to a point of interest selected by the user in StreamStats. This point must lie on the stormwater network, at either an inlet, on a pipe, or on a surface-water flowpath. The delineation produced in StreamStats is the accumulation of all catchments draining to the point of interest. To describe the processing steps used to produce the DEM, fdr, and cat rasters published in this data release, the overall approach to developing the Mystic River Basin stormwater functionality is given in the associated metadata. Please note that the stormwater network, comprised of stormwater inlets, pipes, culverts, and surface flow, produced for this study is not available for publication due to sensitivity concerns. Inquiries about these data may be made to the point of contact provided in the metadata.

The U.S. Geological Survey’s StreamStats program is a publicly-accessible web application (https://streamstats.usgs.gov) that can be used to delineate drainage areas, compute basin characteristics, and estimate flow statistics for user-selected locations on streams. StreamStats services are typically implemented at the statewide or watershed scale (referred to as state or basin applications), and although the three core functionalities remain consistent, many states have implemented custom tools to address specific water-resources planning and management needs. In Massachusetts, a watershed-scale application for the Mystic River Basin was developed to support stakeholder efforts to address stormwater challenges in this highly urbanized basin. The Mystic River Basin stormwater functionality was developed by incorporating 1-meter resolution lidar-derived elevation data and municipal storm drain data to accurately represent urban topography and stormwater flow (that is, subsurface piped flow). In the Mystic River Basin application, users can view the network of stormwater pipes and inlets, delineate drainage areas derived from lidar topography and stormwater infrastructure, and compute land-use/land-cover (LULC) basin characteristics. This data release contains the LULC data available in the Mystic River Basin StreamStats application as a Georeferenced Tagged Image File Format (GeoTIFF) raster dataset. This dataset was developed by processing Massachusetts 2016 LULC data (MassGIS, 2019) and Soil Survey Geographic data (SSURGO; NRCS, 2020) according to Massachusetts Department of Environmental Protection guidelines to produce categories consistent with the 2016 Massachusetts Small Municipal Separate Storm Sewer System (MS4) General Permit Pollutant Loading Export Rates for aggregated land uses (Schifman, 2022). References: MassGIS, 2019, 2016 Land Cover/Land Use: MassGIS Bureau of Geographic Information, accessed April 11, 2022, at https://www.mass.gov/info-details/massgis-data-2016-land-coverland-use. Natural Resources Conservation Service [NRCS], 2020, Soils Polygons for Massachusetts with "Top 20" Fields: MassGIS Bureau of Geographic Information, accessed December 1, 2021, at https://www.mass.gov/info-details/massgis-data-soils-ssurgo-certified-nrcs. Schifman, L.A, 2022, 2016 Massachusetts Small MS4 Permit Pollutant Loading Export Rates applied to the 2016 Massachusetts Land Use/Land Cover GIS Dataset: Massachusetts Department of Environmental Protection, 7 p., accessed May 23, 2022, at https://www.mass.gov/doc/2016-massachusetts-small-ms4-permit-pollutant-loading-export-rates.

The U.S. Geological Survey’s StreamStats program is a publicly-accessible web application (https://streamstats.usgs.gov) that can be used to delineate drainage areas, compute basin characteristics, and estimate flow statistics for user-selected locations on streams. StreamStats services are typically implemented at the statewide or watershed scale (referred to as state or basin applications), and although the three core functionalities remain consistent, many states have implemented custom tools to address specific water-resources planning and management needs. In Massachusetts, a watershed-scale application for the Mystic River Basin was developed to support stakeholder efforts to address stormwater challenges in this highly urbanized basin. The Mystic River Basin stormwater functionality was developed by incorporating 1-meter resolution lidar-derived elevation data and municipal storm drain data to accurately represent urban topography and stormwater flow (that is, subsurface piped flow). In the Mystic River Basin application, users can view the network of stormwater pipes and inlets, delineate drainage areas derived from lidar topography and stormwater infrastructure, and compute land-use/land-cover (LULC) basin characteristics. This data release contains the LULC data available in the Mystic River Basin StreamStats application as a Georeferenced Tagged Image File Format (GeoTIFF) raster dataset. This dataset was developed by processing Massachusetts 2016 LULC data (MassGIS, 2019) and Soil Survey Geographic data (SSURGO; NRCS, 2020) according to Massachusetts Department of Environmental Protection guidelines to produce categories consistent with the 2016 Massachusetts Small Municipal Separate Storm Sewer System (MS4) General Permit Pollutant Loading Export Rates for aggregated land uses (Schifman, 2022). References: MassGIS, 2019, 2016 Land Cover/Land Use: MassGIS Bureau of Geographic Information, accessed April 11, 2022, at https://www.mass.gov/info-details/massgis-data-2016-land-coverland-use. Natural Resources Conservation Service [NRCS], 2020, Soils Polygons for Massachusetts with "Top 20" Fields: MassGIS Bureau of Geographic Information, accessed December 1, 2021, at https://www.mass.gov/info-details/massgis-data-soils-ssurgo-certified-nrcs. Schifman, L.A, 2022, 2016 Massachusetts Small MS4 Permit Pollutant Loading Export Rates applied to the 2016 Massachusetts Land Use/Land Cover GIS Dataset: Massachusetts Department of Environmental Protection, 7 p., accessed May 23, 2022, at https://www.mass.gov/doc/2016-massachusetts-small-ms4-permit-pollutant-loading-export-rates.

This dataset was created to support the Washington D.C. StreamStats project funded by the Washington D.C. Department of Energy and Environment (DOEE). The dataset contains digital elevation model (DEM), flow direction and catchment layers that were conditioned using Washingtons D.C.’s stormwater network layer. The data are hosted online as a component of the USGS StreamStats web application (https://streamstats.usgs.gov), where users can interact with a map of Washington D.C.’s stormwater pipe system and National Hydrography Dataset (NHD) “best resolution” blue lines to delineate drainage basins that account for pipe flow. This project utilized 1-meter (high resolution) terrain products, which improves upon existing 10 meter resolution data products traditionally used in StreamStats. Following work completed for Boston’s Mystic River Basin, Washington, D.C. is the second jurisdiction to incorporate storm-drain-network data into StreamStats. The pipe-network-informed hydro-geomorphologically correct urban hydrography layers were developed by incorporating 1-meter resolution lidar-derived elevation data and D.C.’s stormwater pipe data to approximate topography and stormwater flow. Users may access the “Washington, D.C. Stormwater” fixture on the StreamStats application to delineate drainage basins that approximate effective basin area in storm drain serviced areas. The contents of this data release include the following GeoTiffs: •demaoi.tif: 1-meter LiDAR derived digital elevation model for Washington D.C. and its tributaries (6 HUC-12 watersheds: NW Branch Anacostia, Lower Rock Creek, Nichols Run Potomac River, Lower Anacostia River, Pimmit Run- Potomac River, and Fourmile Run- Potomac River.) •Fdr.tif: 1-meter pipe-network-informed flow direction raster for Washington D.C. and its tributaries (excluding the Potomac River mainstem). Flow direction was informed by D.C.’s stormwater pipe network, and stormwater inlets are represented as sinks. •Cat.tif: 1-meter flow accumulation layer for Washington D.C. and its tributaries (excluding the Potomac river mainstem). This layer was created using pipe-network-informed flow direction layer. The catchment raster represents subcatchments within the study area draining to either sinks (stormwater inlets) or surface drainage lines (overland connectors or streams). The processing steps implemented to produce the raster layers contained in this dataset follow methods previously described by Spaetzel and others, 2022, are described in the associated metadata. Please note that the stormwater network coverage used to produce this data is protected and will not be made publicly available. Reference: Spaetzel, A.B., Steeves, P.A., Sturtevant, L.P., and Hayes, L., 2022, Digital elevation model and derivative datasets to support the integration of stormwater drainage into the StreamStats application for the Mystic River Watershed, Massachusetts: U.S. Geological Survey data release, https://doi.org/10.5066/P9FHAFG7.

This dataset was created to support the Washington D.C. StreamStats project funded by the Washington D.C. Department of Energy and Environment (DOEE). The dataset contains digital elevation model (DEM), flow direction and catchment layers that were conditioned using Washingtons D.C.’s stormwater network layer. The data are hosted online as a component of the USGS StreamStats web application (https://streamstats.usgs.gov), where users can interact with a map of Washington D.C.’s stormwater pipe system and National Hydrography Dataset (NHD) “best resolution” blue lines to delineate drainage basins that account for pipe flow. This project utilized 1-meter (high resolution) terrain products, which improves upon existing 10 meter resolution data products traditionally used in StreamStats. Following work completed for Boston’s Mystic River Basin, Washington, D.C. is the second jurisdiction to incorporate storm-drain-network data into StreamStats. The pipe-network-informed hydro-geomorphologically correct urban hydrography layers were developed by incorporating 1-meter resolution lidar-derived elevation data and D.C.’s stormwater pipe data to approximate topography and stormwater flow. Users may access the “Washington, D.C. Stormwater” fixture on the StreamStats application to delineate drainage basins that approximate effective basin area in storm drain serviced areas. The contents of this data release include the following GeoTiffs: •demaoi.tif: 1-meter LiDAR derived digital elevation model for Washington D.C. and its tributaries (6 HUC-12 watersheds: NW Branch Anacostia, Lower Rock Creek, Nichols Run Potomac River, Lower Anacostia River, Pimmit Run- Potomac River, and Fourmile Run- Potomac River.) •Fdr.tif: 1-meter pipe-network-informed flow direction raster for Washington D.C. and its tributaries (excluding the Potomac River mainstem). Flow direction was informed by D.C.’s stormwater pipe network, and stormwater inlets are represented as sinks. •Cat.tif: 1-meter flow accumulation layer for Washington D.C. and its tributaries (excluding the Potomac river mainstem). This layer was created using pipe-network-informed flow direction layer. The catchment raster represents subcatchments within the study area draining to either sinks (stormwater inlets) or surface drainage lines (overland connectors or streams). The processing steps implemented to produce the raster layers contained in this dataset follow methods previously described by Spaetzel and others, 2022, are described in the associated metadata. Please note that the stormwater network coverage used to produce this data is protected and will not be made publicly available. Reference: Spaetzel, A.B., Steeves, P.A., Sturtevant, L.P., and Hayes, L., 2022, Digital elevation model and derivative datasets to support the integration of stormwater drainage into the StreamStats application for the Mystic River Watershed, Massachusetts: U.S. Geological Survey data release, https://doi.org/10.5066/P9FHAFG7.

This dataset was created to support the Washington D.C. StreamStats project funded by the Washington D.C. Department of Energy and Environment (DOEE). The dataset contains digital elevation model (DEM), flow direction and catchment layers that were conditioned using Washingtons D.C.’s stormwater network layer. The data are hosted online as a component of the USGS StreamStats web application (https://streamstats.usgs.gov), where users can interact with a map of Washington D.C.’s stormwater pipe system and National Hydrography Dataset (NHD) “best resolution” blue lines to delineate drainage basins that account for pipe flow. This project utilized 1-meter (high resolution) terrain products, which improves upon existing 10 meter resolution data products traditionally used in StreamStats. Following work completed for Boston’s Mystic River Basin, Washington, D.C. is the second jurisdiction to incorporate storm-drain-network data into StreamStats. The pipe-network-informed hydro-geomorphologically correct urban hydrography layers were developed by incorporating 1-meter resolution lidar-derived elevation data and D.C.’s stormwater pipe data to approximate topography and stormwater flow. Users may access the “Washington, D.C. Stormwater” fixture on the StreamStats application to delineate drainage basins that approximate effective basin area in storm drain serviced areas. The contents of this data release include the following GeoTiffs: •demaoi.tif: 1-meter LiDAR derived digital elevation model for Washington D.C. and its tributaries (6 HUC-12 watersheds: NW Branch Anacostia, Lower Rock Creek, Nichols Run Potomac River, Lower Anacostia River, Pimmit Run- Potomac River, and Fourmile Run- Potomac River.) •Fdr.tif: 1-meter pipe-network-informed flow direction raster for Washington D.C. and its tributaries (excluding the Potomac River mainstem). Flow direction was informed by D.C.’s stormwater pipe network, and stormwater inlets are represented as sinks. •Cat.tif: 1-meter flow accumulation layer for Washington D.C. and its tributaries (excluding the Potomac river mainstem). This layer was created using pipe-network-informed flow direction layer. The catchment raster represents subcatchments within the study area draining to either sinks (stormwater inlets) or surface drainage lines (overland connectors or streams). The processing steps implemented to produce the raster layers contained in this dataset follow methods previously described by Spaetzel and others, 2022, are described in the associated metadata. Please note that the stormwater network coverage used to produce this data is protected and will not be made publicly available. Reference: Spaetzel, A.B., Steeves, P.A., Sturtevant, L.P., and Hayes, L., 2022, Digital elevation model and derivative datasets to support the integration of stormwater drainage into the StreamStats application for the Mystic River Watershed, Massachusetts: U.S. Geological Survey data release, https://doi.org/10.5066/P9FHAFG7.

The U.S. Geological Survey (USGS), in cooperation with the Air Force Civil Engineer Center (AFCEC), has compiled Geographic Information Systems (GIS) datasets. The spatial data layers provided in this data release are hydrography data derived from high-resolution lidar digital elevation models (DEM). They include a hydroline polyline shapefile used to hydro-enforce the high-resolution lidar DEM; a stream network centerline polyline shapefile derived from the hydro-enforcement that shows stream location; a sub-basin polygon shapefile derived from the hydro-enforcement representing watershed areas for all stream network centerline polylines; a flow direction raster, predicting the direction of flow based on direction of steepest drop; and a flow accumulation raster, predicting the number of upstream cells flowing into each one-meter cell. Field verification was conducted for locations where the high-resolution lidar digital elevation models were unclear on hydraulic connection. Photographs were captured to confirm the conveyance of flow. The datasets are provided in separate child items.

This dataset consists of the raster and vector data used to generate elevation-derived hydrography for the 12-digit Hydrologic Unit Code (HUC) 010700061301 area named the Upper Shawsheen River in Massachusetts. The data release contents are: fdr_010700061301.zip: Contains a GeoTIFF raster used to indicate the predicted direction of flow based on the direction of steepest drop. fac_010700061301.zip: Contains a GeoTIFF raster used to show the number of upstream cells flowing into each one-meter cell. Hydrolines_010700061301.zip: Contains data files for an ESRI polyline shapefile used to enforce drainage in lidar DEM data. Stream_Network_010700061301.zip: Contains data files for an ESRI polyline shapefile representing stream network centerlines derived from lidar DEM data." Sub_Basins_010700061301.zip: Contains data files for an ESRI polygon shapefile representing watershed areas for all stream network centerlines.

This dataset consists of the raster and vector data used to generate elevation-derived hydrography for the 12-digit Hydrologic Unit Code (HUC) 010700061301 area named the Upper Shawsheen River in Massachusetts. The data release contents are: fdr_010700061301.zip: Contains a GeoTIFF raster used to indicate the predicted direction of flow based on the direction of steepest drop. fac_010700061301.zip: Contains a GeoTIFF raster used to show the number of upstream cells flowing into each one-meter cell. Hydrolines_010700061301.zip: Contains data files for an ESRI polyline shapefile used to enforce drainage in lidar DEM data. Stream_Network_010700061301.zip: Contains data files for an ESRI polyline shapefile representing stream network centerlines derived from lidar DEM data." Sub_Basins_010700061301.zip: Contains data files for an ESRI polygon shapefile representing watershed areas for all stream network centerlines.

The watershed data management (WDM) database SC20.WDM is updated with the processed data for the period October 1, 2019, through September 30, 2020. The precipitation data are collected from a tipping-bucket rain-gage network and the hydrologic data (stage and discharge) are collected at USGS streamflow-gaging stations in and around DuPage County, Illinois. Hourly precipitation and hydrologic data for the period October 1, 2019, through September 30, 2020, are processed following the guidelines described in Bera (2014) and Murphy and Ishii (2006) and appended to SC19.WDM and renamed as SC20.WDM. Meteorological data (wind speed, solar radiation, air temperature, dewpoint temperature, and potential evapotranspiration) from October 1, 2019, through September 30, 2020, are copied from ARGN20.WDM and appended to SC20.WDM. Data in dataset number (DSN) 107 and 801–810 are used in comparisons of precipitation data. DSN 107 contains hourly precipitation data collected at Argonne National Laboratory at Argonne, Illinois. DSN 801-810 contains the processed Next Generation Weather Radar (NEXRAD)-multisensor precipitation estimates (MPE) data from 10 NEXRAD–MPE subbasins in the Salt Creek watershed as described in Bera and Ortel (2018). Data in these DSNs are not quality-assured and quality-controlled. The data are downloaded and uploaded daily into a WDM database that is used for the real-time streamflow simulation system. Data from DSN 107 and 801-810 are copied from this WDM and stored in SC20.WDM. DSN 107 and 801-810 are updated with the data through September 30, 2020. Data in DSN 5400 (water-surface elevation at the quarry) and 5700 (water surface elevation at Thorndale) are updated through September 30, 2020, similarly (Murphy and Ishii, 2006). Errors have been found in each of ARGNXX.WDM prior to Water Year (WY) 2023. XX represents last two digits of a WY. A WY is the 12-month period, October 1 through September 30, in which it ends. SC20.wdm contains erroneous meteorological data and related flag values thereby. SC20.WDM is removed. User is advised to download SC22.WDM from https://doi.org/10.5066/P14D6FRA. SC22.WDM (Bera, 2024b) contains corrected meteorological data from ARGN23.WDM (Bera, 2024a) for the period from January 1, 1997, through September 30, 2022. This database file also contains the quality-assured and quality-controlled hydrologic data for the period January 1, 1997, through September 30, 2022, processed following the guidelines documented in Bera (2014). While SC20.WDM is available from the author, all the records in SC20.WDM can be found in SC22.WDM as well. Table1.csv contains the complete list of missing precipitation data periods and the nearby stations used to fill in those missing periods during October 1, 2019, through September 30, 2020. The list of snow affected days of precipitation data and the missing and estimated period of the stage and flow data in SC22.WDM database during the period October 1, 2019, through September 30, 2020, are given in the USGS annual Water Data Report at https://waterdata.usgs.gov/nwis. To open the WDM database SC22.WDM user needs to install Sara Timeseries utility described in the section "Related External Resources". First posted - March 21, 2022 (available from author) References Cited: Bera, M., 2024a, Meteorological Database, Argonne National Laboratory, Illinois: U.S. Geological Survey data release, https://doi.org/10.5066/P146RBHK. ____ 2024b, Watershed Data Management (WDM) Database (SC22.WDM) for Salt Creek Streamflow Simulation, DuPage County, Illinois, January 1, 1997, through September 30, 2022: U.S. Geological Survey, https://doi.org/10.5066/P14D6FRA. Bera, M., and Ortel, T.W., 2018, Processing of next generation weather radar-multisensor precipitation estimates and quantitative precipitation forecast data for the DuPage County streamflow simulation system: U.S. Geological Survey Open-File Report 2017–1159, 16 p., https://doi.org/10.3133/ofr20171159. Bera, M.,