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Data to support water quality modeling efforts in the Delaware River Basin: 2) River and Reservoir Observations
This data release contains information to support water quality modeling in the Delaware River Basin (DRB). These data support both process-based and machine learning approaches to water quality modeling, including the prediction of stream temperature. This section contains observations related to the amount and quality of water in the Delaware River Basin. Data from a subset of reservoirs in the basin include observed daily depth-resolved water temperature, water levels, diversions, and releases. Data from streams in the basin include daily flow and temperature observations. Observations were compiled from a variety of sources, including the National Water Inventory System, Water Quality Portal, EcoSHEDS stream water temperature database, and the New York Department of Environmental Protection. The data are formatted as a single csv (comma separated values) or zipped csv. Site observation data were matched to stream reach segments, and the data files included contain identifiers for both observation sites and affiliated stream reaches. Please see metadata for <a href="https://www.sciencebase.gov/catalog/item/623e54c4d34e915b67d83580"> 1) Spatial data for rivers, reservoirs, and monitoring locations </a> for further information on how monitoring location sites were matched to river segments. For modeling purposes, we created a holdout test set of flow and temperature observations that were representative of dynamics throughout the Delaware River basin from water year 1980-present. Test holdouts are documented in the flow and temperature files, and details describing the holdout decisions can be found in Oliver et al. (2021).
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Data to support water quality modeling efforts in the Delaware River Basin: 2) River and Reservoir Observations
공공데이터포털
This data release contains information to support water quality modeling in the Delaware River Basin (DRB). These data support both process-based and machine learning approaches to water quality modeling, including the prediction of stream temperature. This section contains observations related to the amount and quality of water in the Delaware River Basin. Data from a subset of reservoirs in the basin include observed daily depth-resolved water temperature, water levels, diversions, and releases. Data from streams in the basin include daily flow and temperature observations. Observations were compiled from a variety of sources, including the National Water Inventory System, Water Quality Portal, EcoSHEDS stream water temperature database, and the New York Department of Environmental Protection. The data are formatted as a single csv (comma separated values) or zipped csv. Site observation data were matched to stream reach segments, and the data files included contain identifiers for both observation sites and affiliated stream reaches. Please see metadata for 1) Spatial data for rivers, reservoirs, and monitoring locations for further information on how monitoring location sites were matched to river segments. For modeling purposes, we created a holdout test set of flow and temperature observations that were representative of dynamics throughout the Delaware River basin from water year 1980-present. Test holdouts are documented in the flow and temperature files, and details describing the holdout decisions can be found in Oliver et al. (2021).
Data to support water quality modeling efforts in the Delaware River Basin: 3) Model Driver Data
공공데이터포털
This data release contains information to support water quality modeling in the Delaware River Basin (DRB). These data support both process-based and machine learning approaches to water quality modeling, including the prediction of stream temperature. This section includes model drivers such as gridded weather data (NOAA GEFS and GridMET), and the stream network distance matrix for the Delaware River Basin. Additionally, inputs and outputs from an uncalibrated process-based stream temperature model (PRMS-SNTemp) are included.
Data to support water quality modeling efforts in the Delaware River Basin: 3) Model Driver Data
공공데이터포털
This data release contains information to support water quality modeling in the Delaware River Basin (DRB). These data support both process-based and machine learning approaches to water quality modeling, including the prediction of stream temperature. This section includes model drivers such as gridded weather data (NOAA GEFS and GridMET), and the stream network distance matrix for the Delaware River Basin. Additionally, inputs and outputs from an uncalibrated process-based stream temperature model (PRMS-SNTemp) are included.
Data to support water quality modeling efforts in the Delaware River Basin: 1) Spatial data for rivers, reservoirs, and monitoring locations
공공데이터포털
This data release contains information to support water quality modeling in the Delaware River Basin (DRB). These data support both process-based and machine learning approaches to water quality modeling, including the prediction of stream temperature. This section provides spatial data files that describe the rivers, reservoirs, and observational data in the Delaware River Basin included in this release. One shapefile of polylines describes the 459 river reaches that define the modeling network, and another shapefile of polygons includes the three reservoirs (Pepacton, Cannonsville, and Neversink) for which data are included in this release. Additionally, a point shapefile contains locations of monitoring sites along the reaches with supporting attributes that describe the monitoring location.
Data to support water quality modeling efforts in the Delaware River Basin: 1) Spatial data for rivers, reservoirs, and monitoring locations
공공데이터포털
This data release contains information to support water quality modeling in the Delaware River Basin (DRB). These data support both process-based and machine learning approaches to water quality modeling, including the prediction of stream temperature. This section provides spatial data files that describe the rivers, reservoirs, and observational data in the Delaware River Basin included in this release. One shapefile of polylines describes the 459 river reaches that define the modeling network, and another shapefile of polygons includes the three reservoirs (Pepacton, Cannonsville, and Neversink) for which data are included in this release. Additionally, a point shapefile contains locations of monitoring sites along the reaches with supporting attributes that describe the monitoring location.
Data to support water quality modeling efforts in the Delaware River Basin
공공데이터포털
This data release contains information to support water quality modeling in the Delaware River Basin (DRB). These data support both process-based and machine learning approaches to water quality modeling, including the prediction of stream temperature. Reservoirs in the DRB serve an important role as a source of drinking water, but also affect downstream water quality. Therefore, this data release includes data that characterize both rivers and a subset of reservoirs in the basin. This release provides an update to many of the files provided in a previous data release (Oliver et al., 2021). The data are stored in 3 child folders: 1) spatial information, 2) observations, and 3) model driver data.
  • 1) Spatial Information - Spatial data used for modeling efforts in the Delaware River Basin
    • - a shapefile of polylines for the river segments, point data for observation locations, and polygons for the three (Pepacton, Cannonsville, and Neversink) reservoirs in this dataset.
  • 2) Observations - Reservoir (surface levels, releases, diversions, water temperature) and river (water temperature and flow) observations that can be used to train and test water quality models.
  • 3) Model driver data - Driver data used to force water quality models, including stream reach distance matrices and daily meteorology data from NOAA GEFS and gridMET. This child item also includes the inputs and outputs of an uncalibrated run of PRMS-SNTemp which predicts mean water temperature at all reaches in the DRB. This data compilation was funded by the USGS.
    • Data to support water quality modeling efforts in the Delaware River Basin
    공공데이터포털
    This data release contains information to support water quality modeling in the Delaware River Basin (DRB). These data support both process-based and machine learning approaches to water quality modeling, including the prediction of stream temperature. Reservoirs in the DRB serve an important role as a source of drinking water, but also affect downstream water quality. Therefore, this data release includes data that characterize both rivers and a subset of reservoirs in the basin. This release provides an update to many of the files provided in a previous data release (Oliver et al., 2021). The data are stored in 3 child folders: 1) spatial information, 2) observations, and 3) model driver data.
  • 1) Spatial Information - Spatial data used for modeling efforts in the Delaware River Basin
    • - a shapefile of polylines for the river segments, point data for observation locations, and polygons for the three (Pepacton, Cannonsville, and Neversink) reservoirs in this dataset.
  • 2) Observations - Reservoir (surface levels, releases, diversions, water temperature) and river (water temperature and flow) observations that can be used to train and test water quality models.
  • 3) Model driver data - Driver data used to force water quality models, including stream reach distance matrices and daily meteorology data from NOAA GEFS and gridMET. This child item also includes the inputs and outputs of an uncalibrated run of PRMS-SNTemp which predicts mean water temperature at all reaches in the DRB. This data compilation was funded by the USGS.
    • Predicting water temperature in the Delaware River Basin: 1 Waterbody information for 456 river reaches and 2 reservoirs
    공공데이터포털
    This dataset provides one shapefile of polylines for the 456 river segments in this study, and one shapefile of reservoir polygons for the Pepacton and Cannonsville reservoirs.
    Predicting water temperature in the Delaware River Basin: 1 Waterbody information for 456 river reaches and 2 reservoirs
    공공데이터포털
    This dataset provides one shapefile of polylines for the 456 river segments in this study, and one shapefile of reservoir polygons for the Pepacton and Cannonsville reservoirs.
    Predicting water temperature in the Delaware River Basin: 4 Model inputs
    공공데이터포털
    This dataset includes model inputs including gridded weather data, a stream network distance matrix, stream reach attributes and metadata, and reservoir characteristics.
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