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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.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: DE,
Delaware,
MD,
Maryland,
NJ, All tags...
NY,
New Jersey,
New York,
PA,
Pennsylvania,
US,
United States,
deep learning,
environment,
forecast,
hybrid modeling,
inlandWaters,
machine learning,
modeling,
reservoirs,
streams,
temperature,
water,
water resources, Fewer tags
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This dataset includes model inputs including gridded weather data, a stream network distance matrix, stream reach attributes and metadata, and reservoir characteristics.
Categories: Data;
Tags: DE,
Delaware,
MD,
Maryland,
NJ, All tags...
NY,
New Jersey,
New York,
PA,
Pennsylvania,
US,
United States,
deep learning,
environment,
forecast,
hybrid modeling,
inlandWaters,
machine learning,
modeling,
reservoirs,
streams,
temperature,
water,
water resources, Fewer tags
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This dataset includes model parameters and metadata used to configure models.
Tags: NY,
New York,
US,
United States,
deep learning, All tags...
environment,
forecast,
hybrid modeling,
inlandWaters,
machine learning,
modeling,
reservoirs,
streams,
temperature,
water,
water resources, Fewer tags
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Observations related to water and thermal budgets in the Delaware River Basin. Data from reservoirs in the basin include reservoir characteristics (e.g., bathymetry), daily water levels, daily depth-resolved water temperature observations, and daily inflows, diversions, and releases. Data from streams in the basin include daily flow and temperature observations. Data were compiled from a variety of sources to cover the modeling period (1980-2021), including the National Water Inventory System, Water Quality Portal, EcoSHEDS stream water temperature database, ReaLSAT, and the New York Department of Environmental Conservation. The data are formatted as a single csv (comma separated values) or zipped csv. For modeling...
Categories: Data;
Tags: DE,
Delaware,
MD,
Maryland,
NJ, All tags...
NY,
New Jersey,
New York,
PA,
Pennsylvania,
US,
United States,
deep learning,
environment,
forecast,
hybrid modeling,
inlandWaters,
machine learning,
modeling,
reservoirs,
streams,
temperature,
water,
water resources, Fewer tags
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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 in the Delaware River Basin. Daily stream temperature predictions for inflow and outflow reaches for Cannonsville and Pepacton reservoirs were pulled aside into a separate csv to be used as inputs to the General Lake Model (GLM). Reservoir outflow predictions and in-reservoir temperature predictions were generated with calibrated models built using GLM v3.1. We calculated a decay rate based on the modeled reservoir outflow temperatures and observed downstream river temperature to estimate the decay of the reservoir influence on stream temperature as...
Categories: Data;
Tags: DE,
Delaware,
MD,
Maryland,
NJ, All tags...
NY,
New Jersey,
New York,
PA,
Pennsylvania,
US,
United States,
deep learning,
environment,
forecast,
hybrid modeling,
inlandWaters,
machine learning,
modeling,
reservoirs,
streams,
temperature,
water,
water resources, Fewer tags
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