Water Clarity

From the monthly measurements made by the National Park Service staff in Acadia, we can see a change in the water clarity since the monitoring program began in the 1980s.  These changes in water clarity were one of the primary reasons for the installment of the buoy on Jordan Pond.

From the monthly measurements made by the National Park Service staff in Acadia, we can see a change in the water clarity since the monitoring program began in the 1980s.  These changes in water clarity were one of the primary reasons for the installment of the buoy on Jordan Pond.

Temperature

This figure shows the temperature of the water in Jordan Pond throughout the summer of 2013.  The warm tones represent warmer water and cool tones represent colder water.  You can see changes in the temperature profile of the lake throughout the season.  In the fall, the lake experiences turnover, which refers to the mixing of surface and bottom waters in the lake due to changes in air temperature. 

This figure shows the temperature of the water in Jordan Pond throughout the summer of 2013.  The warm tones represent warmer water and cool tones represent colder water.  You can see changes in the temperature profile of the lake throughout the season.  In the fall, the lake experiences turnover, which refers to the mixing of surface and bottom waters in the lake due to changes in air temperature. 

Why High Frequency Data Is Helpful

Comparison of dissolved oxygen (DO) measurements from 2012 Acadia National Park (ANP) water monitoring samples (open black diamonds) with 2013 buoy readings (blue line) since deployment in early July 2013. High frequency data allows scientists to see temporal variation over time, as opposed to discrete data points. 

Comparison of dissolved oxygen (DO) measurements from 2012 Acadia National Park (ANP) water monitoring samples (open black diamonds) with 2013 buoy readings (blue line) since deployment in early July 2013. High frequency data allows scientists to see temporal variation over time, as opposed to discrete data points.