Lake Erie Archived Real-Time Data - *** EXPERIMENTAL ***

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Jump to time-series plots of real-time data from western Lake Erie

Most recent real-time data from western Lake Erie (Click here to collapse)
Variable WE2 WE4 WE8 WE13
Time "2017-11-01 19:01:00" "2017-11-01 11:01:00" "2017-10-26 13:31:00" "2017-10-06 14:01:00"
Air Temperature (deg C) 4.718 3.832 3.201 15.82
Water Temperature (deg C) 9.31 10.83 13.65 20.24
Barometric Pressure (mbar) 996.701 998.0732 992.6511 997.2722
Wind Speed (m/s) 2.418 8.46 3.245 1.136
Wind Direction
(deg clockwise from North)		 166.8 180.9 289.4 109.4
Turbidity (NTU) 2.447 5.83 2.8 6.177
Specific Conductivity (μS/cm) 248.3 228.9 242.3 228
Chlorophyll A (RFU) 0.362 0.179 0.375 0.619
Blue-Green Algae (RFU) 0.168 0.317 0.048 0.937
Flourescent Dissolved
Organic Matter (RFU)		 0.841 0.408 -0.093 -1.619
Nitrogen (mg/L) 0.199 0.2648 0 0
Dissolved Oxygen (mg/L) 11.19 10.99 9.98 9.42
pH 8.2 8.13 8.41 8.73
Phosphorus Timestamp 2017-11-01 17:15:42 2017-11-01 09:46:11 2017-10-26 12:35:13 NA
Phosphorus (μgP/L) -8.5 0.6 -12 NA


we2 we4 we8 we13 Map of real-time sampling sites




OR - Select variables to compare between all sites:














Viewing mode will be indicated with light green background color.

This page automatically displays data which are available. If no data appear for a selected site or variable, no data are available for that site, variable and selected time.
2017 and 2016 times are GMT.
2015 and earlier times are local (ET) with the exception of WE4 which is in GMT.

Select a date below along with how many days before and after that date you would like to view. 30 days maximum (± 15).
Zoom: click-drag, Pan: shift-click-drag, Restore: double-click

Preparing a buoy for deployment
Preparing a buoy for deployment
Above you will find plotted archived real-time data collected via buoys in Western Lake Erie during algal bloom season, typically running from June through October.

With thanks to the NOAA High Performance Computing and Communications Program, for the 2016 season and beyond, we will be using a PostgreSQL database management system (DBMS) to serve and display smaller chunks of the real-time data. With a DBMS such as PostgreSQL, it is much easier to store, manipulate, document, and use data in comparison with flat text files.

Above, you may select a time range for which data are available. Clicking 'Go!' will refresh the page with the data you requested retrieved from the database. You may then view the data for all variables from a specific site, or all sites for a specific set of variables.



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