Recent Lake Conditions

Updated at 7:45, 11:45, and 15:45 each day

Last Platform Collection October 27, 2023 11:00
Surface Temperature (*C) NA
Bottom Temperature (*C) NA
Surface Dissolved Oxygen (mg/L) NA
Bottom Dissolved Oxygen (mg/L) NA
Last Met Collection November 21, 2023 02:15
Air Temperature (*C) 20.86
Wind Speed (m/s) 0
Wind Speed (mph) 0
Wind Direction E

The collection of these data and the larger Lake Carmi research project are primarily supported by Vermont Department of Environmental Conservation under the Clean Water Initiative, and conducted in collaboration with the Vermont DEC’s Lakes and Ponds Program.


Lake Condition Plots

Note: Click the tabs to view data from a previous season.
    Click the legend to remove depths from a plot for a cleaner look.

2023


Biological Activity Plots

Note: Phycocyanin is a pigment found in cyanobacteria (blue-green algae). Increases in relative fluorescence (RFU) suggest increasing detection of cyanobacteria, but this is not a direct quantitative measurement.There are many caveats associated with using phycocyanin sensors to study cyanobacteria dynamics, but there is general consensus that they are useful for detecting relative changes over time in cyanobacteria biomass at a specific location. Given the propensity of cyanobacteria to concentrate in particular locations in the lake, often due to wind forcing, these point specific sensor data are not necessarily indicative of changes/bloom dynamics across the entire lake at any given time point. 

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## ℹ Please use `linewidth` instead.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.

2022


Biological Activity Plots

Note: Phycocyanin is a pigment found in cyanobacteria (blue-green algae). Increases in relative fluorescence (RFU) suggest increasing detection of cyanobacteria, but this is not a direct quantitative measurement.There are many caveats associated with using phycocyanin sensors to study cyanobacteria dynamics, but there is general consensus that they are useful for detecting relative changes over time in cyanobacteria biomass at a specific location. Given the propensity of cyanobacteria to concentrate in particular locations in the lake, often due to wind forcing, these point specific sensor data are not necessarily indicative of changes/bloom dynamics across the entire lake at any given time point.

2021


Biological Activity Plots

Note: Phycocyanin is a pigment found in cyanobacteria (blue-green algae). Increases in relative fluorescence (RFU) suggest increasing detection of cyanobacteria, but this is not a direct quantitative measurement.There are many caveats associated with using phycocyanin sensors to study cyanobacteria dynamics, but there is general consensus that they are useful for detecting relative changes over time in cyanobacteria biomass at a specific location. Given the propensity of cyanobacteria to concentrate in particular locations in the lake, often due to wind forcing, these point specific sensor data are not necessarily indicative of changes/bloom dynamics across the entire lake at any given time point.

2020

*Note: 8.5 meters was the bottom sensor depth in 2020 due to water level (compared to 9 meters in 2021)


Biological Activity Plots

Note: Phycocyanin is a pigment found in cyanobacteria (blue-green algae). Increases in relative fluorescence (RFU) suggest increasing detection of cyanobacteria, but this is not a direct quantitative measurement.There are many caveats associated with using phycocyanin sensors to study cyanobacteria dynamics, but there is general consensus that they are useful for detecting relative changes over time in cyanobacteria biomass at a specific location. Given the propensity of cyanobacteria to concentrate in particular locations in the lake, often due to wind forcing, these point specific sensor data are not necessarily indicative of changes/bloom dynamics across the entire lake at any given time point.

Please contact us at and with any questions or comments.

These data and infrastructure are also sourced in research support provided to Andrew Schroth by the National Science Foundation under under VT EPSCoR Grant No. NSF OIA-1556770 and EAR-1561014. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.


This material is based upon work supported by the Vermont Water Center via the U.S. Geological Survey under Grant G21AP10630. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the opinions or policies of the U.S. Geological Survey. Mention of trade names or commercial products does not constitute their endorsement by the U.S. Geological Survey.