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Location Folder Show Tree ROOT ScienceBase Catalog Users Filters Date Types (for Date Range) Contacts Jory S Hecht U.S. Geological Survey Zachary C Johnson Alison P Appling U.S. Geological Survey - ScienceBase More... Categories Data (1) Data Release - Under Revision (1) Tag Types Theme (2) USGS Scientific Topic Keyword (2) Place (2) Harvest Set (1) Tag Schemes none (1) USGS Thesaurus (1) ISO 19115 Topic Category (2) 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) Common geographic areas (1) None (1) View Results as: JSON ATOM CSV Browse Folder

Long-term monotonic trends in annual and monthly streamflow metrics at streamgages in the United States (Under Revision) Note: this data release is currently being revised and is temporarily unavailable The U.S. Geological Survey (USGS) Water Resources Mission Area (WMA) is working to address a need to understand where the Nation is experiencing water shortages or surpluses relative to the demand for water need by delivering routine assessments of water supply and demand and an understanding of the natural and human factors affecting the balance between supply and demand. A key part of these national assessments is identifying long-term trends in water availability, including groundwater and surface water quantity, quality, and use. This data release contains Mann-Kendall monotonic trend analyses for 18 observed annual and monthly... Categories: Data, Data Release - Under Revision; Tags: Hydrology, United States, Water Resources, droughts, floods, All tags... hydrology, inlandWaters, streamflow, trends, Fewer tags Identifying structural priors in a hybrid differentiable model for stream water temperature modeling at 415 U.S. basin outlets, 2010-2016 This model archive (Rahmani et al. 2023a) provides all data, code, and model outputs used in Rahmani et al. (2023b) to improve model representations toward improved prediction of stream temperature and groundwater/subsurface flow contributions to stream temperature. Briefly, we modeled stream temperature at sites across the continental United States using a hybrid differentiable model that combines neural network components with differentiable implementations of several structural priors, i.e., process-based equations. The differentiable framework permits estimation of parameters and comparison of structural priors as well as prediction of stream temperature. The data are organized into these child items: 1. Model... Tags: Hydrology, US, USGS Science Data Catalog (SDC), United States, Water Quality, All tags... deep learning, environment, inlandWaters, machine learning, modeling, streams, water resources, water temperature, Fewer tags