Filters: Tags: temperature (X) > Categories: Data Release - Revised (X) > Categories: Data (X)
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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 the analysis, Experiment A, Experiment B, Experiment C, Experiment D, and Experiment AuxIn. Experiment A tested multi-task learning for predicting streamflow with 25 years of training data and using a different model for each of 101 sites. Experiment B tested multi-task learning for predicting streamflow with 25 years of training data and using a single model for all 101 sites. Experiment C tested multi-task learning for predicting streamflow with just 2 years of training data. Experiment D tested multi-task learning for predicting water temperature with...
Categories: Data,
Data Release - Revised;
Tags: US,
USGS Science Data Catalog (SDC),
United States,
deep learning,
environment,
Beaches and water recreation are important to the South Padre Island, Texas area and across the United States. The movement of sediment in channels along beaches and the nearshore environment is important for coastal stakeholders and resource managers. Sediment removed by maintenance dredging is often placed back into the littoral system for potential beach replenishment. The movement of sediment from offshore berms to onshore beaches is not well known. Sediment transport is highly dependent on local current conditions and seasonal conditions. The U.S. Geological Survey, in cooperation with the City of South Padre Island, completed an oceanographic field study from August 2018 to February 2019 to investigate the...
Categories: Data,
Data Release - Revised;
Tags: Cameron,
Currents,
Oceanographic observations,
Port Isabel,
Pressure,
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