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Location Folder Show Tree ROOT _Users Filters Date Range Past year (0) Past month (0) Past week (0) Past day (0) Custom range... To   Search Types Downloadable (1) Map Service (1) OGC WFS Layer (1) OGC WMS Layer (1) Shapefile (1) Contacts Samantha K Oliver Xiaowei Jia Integrated Information Dissemination Division U.S. Geological Survey Alison P Appling More... Categories Data (1) Tag Types Theme (1) Place (1) USGS Scientific Topic Keyword (1) Harvest Set (1) Tag Schemes none (1) U.S. Department of Commerce, 1987, Codes for the identification of the States, the District of Columbia and the outlying areas of the United States, and associated areas (Federal Information Processing Standard 5-2): Washington, D. C., NIST (1) Department of Commerce, 1995, Countries, Dependencies, Areas of Special Sovereignty, and Their Principal Administrative Divisions, Federal Information Processing Standard (FIPS) 10-4, Washington, D.C., National Institute of Standards and Technology (1) ISO 19115 Topic Category (1) USGS Thesaurus (1) View Results as: JSON ATOM CSV Browse Folder

Model predictions for heterogeneous stream-reservoir graph networks with data assimilation This data release provides the predictions from stream temperature models described in Chen et al. 2021. Briefly, various deep learning and process-guided deep learning models were built to test improved performance of stream temperature predictions below reservoirs in the Delaware River Basin. The spatial extent of predictions was restricted to streams above the Delaware River at Lordville, NY, and includes the West Branch of the Delaware River below Cannonsville Reservoir and the East Branch of the Delaware River below Pepacton Reservoir. Various model architectures, training schemes, and data assimilation methods were used to generate the table and figures in Chen et a.l (2021) and predictions of each model are... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Hydrology, NY, New York, PA, Pennsylvania, All tags... US, USGS Science Data Catalog (SDC), United States, Water Quality, Water Resources, climate change, deep learning, environment, hybrid modeling, inlandWaters, machine learning, modeling, reservoirs, temperature, water, water resources, Fewer tags