This lesson incorporates techniques and experimental designs used by researchers during the Southern Ocean Diatoms PolarTREC expedition and during post-expedition laboratory analysis. This guided inquiry lesson provides students the opportunity to explore photosynthesis and primary productivity using techniques to measure chlorophyll levels.
Objectives
SWBAT:
1. Use models to predict chlorophyll levels in the global oceans
2. Identify
Understanding Physical and Chemical Parameters of Ocean Water Using CTD Profiles
Overview
A focus of the PolarTREC Southern Ocean Diatoms expedition was to collect water samples and physical profile data using oceanographic technology. Oceanographers rely on the real-time data transferred from the water column to the ship-based computers using a CTD sensor. The CTD measures conductivity (salinity), temperature and depth
Students will individually weigh a random sample of pennies. The data will be graphed to look for patterns, then explanations will be sought to explain these patterns. Some of the key ideas are using graphical representations of data to help identify patterns. This is a key concept in all sciences, including in the IceCube Neutrino Observatory - data
Even in Antarctica ice will melt. As the sun stays higher and higher in the sky as summer progresses, the warm sun causes the ice to melt. The questions that we are going to ask are: 1) Does clean ice (no sediment) or dirty ice (has sediment mixed in it) melt faster? and 2) Would the ice melt if
For this experiment, we are going to melt dirty ice (ice with lots of sediment/dirt in it) and clean ice (ice without sediment) from the Taylor Glacier. After we melt the ice, we are going to test the melt water for pH and conductivity, and then determine how much salt is actually in our ice samples. There are