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
In this investigation, students will measure production of CO2 from surface water and consider the role of surface waters in the global carbon cycle and climate change. They will gather data on using Vernier CO2 sensors. This lesson presents a wonderful opportunity for student-designed experiments.
This is a good lesson to get students thinking about the complexity of the systems involved in providing our society with energy, the consequences of energy use and efficiency. Students are encouraged to explore the data sets on their own, ask their own questions about energy use and present their findings to each other.
Students will explore the concept of albedo and how it relates to melting ice and climate change. This is a hands-on activity where students measure the reflectivity of various surfaces as a model for how light interacts with different parts of the Earth’s surface. This is adapted from lessons created by Jamie Esler and SERC earthlabs.
Learning about feedback mechanisms is an important part of understanding how climate change will play out in the near and long term. Students are also exposed to the idea that scientists create simple models of complex climate systems and that feedback mechanisms play a crucial role in climate modeling.