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Federal
A deep learning model and associated data to support understanding and simulation of salinity dynamics in Delaware Bay
Department of the Interior —
Salinity dynamics in the Delaware Bay estuary are a critical water quality concern as elevated salinity can damage infrastructure and threaten drinking water... -
Federal
Predictions and supporting data for network-wide 7-day ahead forecasts of water temperature in the Delaware River Basin: 1) Waterbody information for 70 river reaches and 2 reservoirs
Department of the Interior —
This section provides spatial data files that describe the river and reservoirs in the Delaware River Basin included in this release. One shapefile of polylines... -
Federal
Data to support water quality modeling efforts in the Delaware River Basin: 3) Model Driver Data
Department of the Interior —
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... -
Federal
Examining the influence of deep learning architecture on generalizability for predicting stream temperature in the Delaware River Basin
Department of the Interior —
This data release and model archive provides all data, code, and modelling results used in Topp et al. (2023) to examine the influence of deep learning architecture... -
Federal
Predictions and supporting data for network-wide 7-day ahead forecasts of water temperature in the Delaware River Basin: 2) model driver data
Department of the Interior —
This data release contains the forcings and outputs of 7-day ahead maximum water temperature forecasting models that makes predictions at 70 river reaches in the... -
Federal
Predicting water temperature in the Delaware River Basin
Department of the Interior —
Daily temperature predictions in the Delaware River Basin (DRB) can inform decision makers who can use cold-water reservoir releases to maintain thermal habitat for... -
Federal
Stream temperature predictions in the Delaware River Basin using pseudo-prospective learning and physical simulations
Department of the Interior —
Stream networks with reservoirs provide a particularly hard modeling challenge because reservoirs can decouple physical processes (e.g., water temperature dynamics in... -
Federal
Predicting water temperature in the Delaware River Basin: 5 Model prediction data
Department of the Interior —
Several models were used to improve water temperature prediction in the Delaware River Basin. PRMS-SNTemp was used to predict daily temperatures at 456 stream reaches... -
Federal
Data to support water quality modeling efforts in the Delaware River Basin
Department of the Interior —
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... -
Federal
Data to support water quality modeling efforts in the Delaware River Basin: 1) Spatial data for rivers, reservoirs, and monitoring locations
Department of the Interior —
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... -
Federal
Data to support water quality modeling efforts in the Delaware River Basin: 2) River and Reservoir Observations
Department of the Interior —
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... -
Federal
Model code, outputs, and supporting data for approaches to process-guided deep learning for groundwater-influenced stream temperature predictions
Department of the Interior —
This model archive provides all data, code, and modeling results used in Barclay and others (2023) to assess the ability of process-guided deep learning stream... -
Federal
Model predictions for heterogeneous stream-reservoir graph networks with data assimilation
Department of the Interior —
This data release provides the predictions from stream temperature models described in Chen et al. 2021. Briefly, various deep learning and process-guided deep... -
Federal
Daily surface temperature predictions for 185,549 U.S. lakes with associated observations and meteorological conditions (1980-2020)
Department of the Interior —
Daily lake surface temperatures estimates for 185,549 lakes across the contiguous United States from 1980 to 2020 generated using an entity-aware long short-term... -
Federal
Predicting water temperature in the Delaware River Basin: 1 Waterbody information for 456 river reaches and 2 reservoirs
Department of the Interior —
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... -
Federal
Predictions and supporting data for network-wide 7-day ahead forecasts of water temperature in the Delaware River Basin
Department of the Interior —
Daily maximum water temperature predictions in the Delaware River Basin (DRB) can inform decision makers who can use cold-water reservoir releases to maintain thermal... -
Federal
Predicting water temperature in the Delaware River Basin: 4 Model inputs
Department of the Interior —
This dataset includes model inputs including gridded weather data, a stream network distance matrix, stream reach attributes and metadata, and reservoir characteristics. -
Federal
Predicting water temperature in the Delaware River Basin: 2 Water temperature and flow observations
Department of the Interior —
Observations related to water and thermal budgets in the Delaware River Basin. Data from reservoirs in the basin include reservoir characteristics (e.g., bathymetry),... -
Federal
Predictions and supporting data for network-wide 7-day ahead forecasts of water temperature in the Delaware River Basin: 5) model code
Department of the Interior —
This data release contains the forcings and outputs of 7-day ahead maximum water temperature forecasting models that makes predictions at 70 river reaches in the...