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Federal
Process-based water temperature predictions in the Midwest US: 1 Spatial data (GIS polygons for 7,150 lakes) recent views
Department of the Interior —
This dataset provides shapefile outlines of the 7,150 lakes that had temperature modeled as part of this study. The format is a shapefile for all lakes combined... -
Federal
Walleye Thermal Optical Habitat Area (TOHA) of selected Minnesota lakes: 1 Lake information for 881 lakes recent views
Department of the Interior —
This dataset provides shapefile outlines of the 881 lakes that had temperature modeled as part of this study. The format is a shapefile for all lakes combined (.shp,... -
Federal
Walleye Thermal Optical Habitat Area (TOHA) of selected Minnesota lakes: 2 Water temperature observations recent views
Department of the Interior —
Observed water temperatures from 1980-2018 were compiled for 877 lakes in Minnesota (USA). There were four lakes included in this data release that did not have... -
Federal
Walleye Thermal Optical Habitat Area (TOHA) of selected Minnesota lakes: 6 model evaluation recent views
Department of the Interior —
Water temperature estimates from multiple models were evaluated by comparing predictions to observed water temperatures. The performance metric of root-mean square... -
Federal
Data release: Walleye Thermal Optical Habitat Area (TOHA) of selected Minnesota lakes recent views
Department of the Interior —
Climate change and land use change have been shown to influence lake temperatures and water clarity in different ways. To better understand the diversity of lake... -
Federal
Daily water column temperature predictions for thousands of Midwest U.S. lakes between 1979-2022 and under future climate scenarios recent views
Department of the Interior —
Lake temperature is an important environmental metric for understanding habitat suitability for many freshwater species and is especially useful when temperatures are... -
Federal
Daily surface temperature predictions for 185,549 U.S. lakes with associated observations and meteorological conditions (1980-2020) recent views
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
Multi-task Deep Learning for Water Temperature and Streamflow Prediction (ver. 1.1, June 2022) recent views
Department of the Interior —
This item contains data and code used in experiments that produced the results for Sadler et. al (2022) (see below for full reference). We ran five experiments for... -
Federal
Model predictions for heterogeneous stream-reservoir graph networks with data assimilation recent views
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
Data to support water quality modeling efforts in the Delaware River Basin recent views
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
Process-based water temperature predictions in the Midwest US: 2 Model configurations (lake metadata and parameter values) recent views
Department of the Interior —
This dataset provides model specifications used to estimate water temperature from the process-based model, General Lake Model verion 2 (Hipsey et al. 2019) using... -
Federal
Walleye Thermal Optical Habitat Area (TOHA) of selected Minnesota lakes: 7 thermal and optical habitat estimates recent views
Department of the Interior —
Using predicted lake temperatures from uncalibrated, process-based models (PB0) and process-guided deep learning models (PGDL), this dataset summarized a collection... -
Federal
Predictions and supporting data for network-wide 7-day ahead forecasts of water temperature in the Delaware River Basin recent views
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
Data to support water quality modeling efforts in the Delaware River Basin: 2) River and Reservoir Observations recent views
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
Walleye Thermal Optical Habitat Area (TOHA) of selected Minnesota lakes: 3 Model configurations (lake model parameter values) recent views
Department of the Interior —
This dataset provides model parameters used to estimate water temperature from a process-based model (Hipsey et al. 2019) using uncalibrated model configurations... -
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 recent views
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
Predictions and supporting data for network-wide 7-day ahead forecasts of water temperature in the Delaware River Basin: 3) model configurations recent views
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
Data to support network-wide 7-day ahead forecasting of water temperature in the Delaware River Basin: 4) model predictions recent views
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
Process-based water temperature predictions in the Midwest US: 5 Model prediction data recent views
Department of the Interior —
Multiple modeling frameworks were used to predict daily temperatures at 0.5m depth intervals for a set of diverse lakes in the U.S. states of Minnesota and Wisconsin.... -
Federal
Model code, outputs, and supporting data for approaches to process-guided deep learning for groundwater-influenced stream temperature predictions recent views
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...