This dataset contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). University of Minnesota - Duluth collected the data from UMD Coastal Buoy, an in-situ moored station, in the Great Lakes. GLOS, which assembles data from University of Minnesota - Duluth and other sub-regional coastal and ocean observing systems of the Great Lakes region of the United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. Each month, NCEI adds to this dataset the data collected during the previous month.

NOAA Great Lakes Environmental Research Laboratory collected the data from moored Realtime Coastal Observation Network, ReCON, Saginaw Bay Buoy (NDBC station 45163), Lake Huron, an in-situ moored station, in the Great Lakes. Observations have been collected at this location since 2010, this record contains the 2020 observations. Note, the short deployment of this buoy in 2020 is due to COVID-19 and a reduced field work season. This station is also known as NOAA National Data Buoy Center (NDBC) station Saginaw Bay Buoy, MI (45163). A temporal subset of these data are available from NDBC and the Great Lakes Observing System (GLOS) since 2012, this data accession contains the complete record of observations. The ReCON buoy provides continuous, real-time observations facilitates modification of sampling parameters in anticipation of episodic events, facilitates collection of field samples in response to episodic events, supports long term research, and contributes to sensor and system development. Parameters collected include currents and water temperature. The block of text at the beginning of each file contains information about the location and sensor used to collect data and the data headers followed by the observed data. Column 1 of the data is the timestamp, column 2 is the observed data, and column 3, where applicable, the QARTOD flag. Five QARTOD tests were run including gross range, climatological, spike, rate of change, and flat line tests. The highest value from the five tests were included under the “Qartod” column. If data were known to be invalid, that line of data was removed from the dataset.

NOAA Great Lakes Environmental Research Laboratory collected the data from moored Realtime Coastal Observation Network, ReCON, Alpena Buoy (NDBC station 45162), Lake Huron, an in-situ moored station, in the Great Lakes. Observations have been collected at this location since 2005, this record contains the 2020 observations. Note, the short deployment of this buoy in 2020 is due to COVID-19 and a reduced field work season. This station is also known as NOAA National Data Buoy Center (NDBC) station Thunder Bay Buoy, Alpena, MI (45162). A temporal subset of these data are available from NDBC and the Great Lakes Observing System (GLOS) since 2012, this data accession contains the complete record of observations. The ReCON buoy provides continuous, real-time observations facilitates modification of sampling parameters in anticipation of episodic events, facilitates collection of field samples in response to episodic events, supports long term research, and contributes to sensor and system development. Parameters collected include currents and water temperature. The block of text at the beginning of each file contains information about the location and sensor used to collect data and the data headers followed by the observed data. Column 1 of the data is the timestamp, column 2 is the observed data, and column 3, where applicable, the QARTOD flag. Five QARTOD tests were run including gross range, climatological, spike, rate of change, and flat line tests. The highest value from the five tests were included under the “Qartod” column. If data were known to be invalid, that line of data was removed from the dataset.

This dataset contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Northern Michigan University collected the data from 45172, Grand Marais Buoy, an in-situ moored station, in the Great Lakes. GLOS, which assembles data from Northern Michigan University and other sub-regional coastal and ocean observing systems of the Great Lakes region of the United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. Each month, NCEI adds to this dataset the data collected during the previous month.

This dataset contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Bowling Green State University collected the data from station Sandusky Bay, an in-situ moored station, in the Great Lakes. GLOS, which assembles data from Bowling Green State University and other sub-regional coastal and ocean observing systems of the Great Lakes region of the United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. Each month, NCEI adds to this dataset the data collected during the previous month.

This dataset contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Great Lakes Environmental Research Laboratory collected the data from station RECON Erie, Cleveland (CLV), an in-situ moored station, in the Great Lakes. GLOS, which assembles data from Great Lakes Environmental Research Laboratory and other sub-regional coastal and ocean observing systems of the Great Lakes region of the United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. Each month, NCEI adds to this dataset the data collected during the previous month.

This dataset contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). LimnoTech collected the data from Station 45168, South Haven, MI, an in-situ moored station, in the Great Lakes. GLOS, which assembles data from LimnoTech and other sub-regional coastal and ocean observing systems of the Great Lakes region of the United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. Each month, NCEI adds to this dataset the data collected during the previous month.

NOAA Great Lakes Environmental Research Laboratory collected the data from moored Realtime Coastal Observation Network, ReCON, Muskegon M20 Buoy (NDBC station 45161), Lake Michigan, an in-situ moored station, in the Great Lakes. Observations have been collected at this location since 2009, this record contains the 2020 observations. Note, the short deployment of this buoy in 2020 is due to COVID-19 and a reduced field work season. This station is also known as NOAA National Data Buoy Center (NDBC) station Muskegon Buoy, MI (45161). A temporal subset of these data are available from NDBC and the Great Lakes Observing System (GLOS) since 2012, this data accession contains the complete record of observations. The ReCON buoy provides continuous, real-time observations facilitates modification of sampling parameters in anticipation of episodic events, facilitates the collection of field samples in response to episodic events, supports long term research, and contributes to sensor and system development. Parameters collected include currents and water temperature. The block of text at the beginning of each file contains information about the location and sensor used to collect data and the data headers followed by the observed data. Column 1 of the data is the timestamp, column 2 is the observed data, and column 3, where applicable, the QARTOD flag. Five QARTOD tests were run including gross range, climatological, spike, rate of change, and flat line tests. The highest value from the five tests were included under the “Qartod” column. If data were known to be invalid, that line of data was removed from the dataset.