ABSTRACT:

This dataset contains Acoustic Doppler Current Profiler (ADCP) data collected near Erie, PA, in Lake Erie during the summer of 2019. The ADCP was deployed in an upward-looking configuration from August 9 to September 9, 2019, at a depth of 5.80 meters, and it recorded 3D water velocities and temperatures. The data collection aimed to support assessments of Cladophora and benthic algae and to validate hydrodynamic models in the region. The deployment location is specified at 42.18863 degrees north latitude and -79.98218 degrees west longitude. The U.S. Environmental Protection Agency funded this project under the Great Lakes Restoration Initiative, with the U.S. Geological Survey (USGS) and Michigan State University (MSU) conducting the data collection, processing, and quality assurance. Data quality was ensured through rigorous checks, with velocity measurement accuracy at 1% of the measured value, and temperature sensor accuracy at ±0.1 ℃. This dataset provides valuable insights for environmental and hydrodynamic studies in Lake Erie, contributing to a better understanding of water flow patterns and temperature variations essential for ecological assessments and management practices.

The ADCP data was used in the following paper:
Saeed Memari, Mantha S. Phanikumar, Vishnu Boddeti, Narendra Das; Turbidity assessment in coastal regions combining machine learning, numerical modeling, and remote sensing. Journal of Hydroinformatics 2024; jh2024110. doi: https://doi.org/10.2166/hydro.2024.110