In this activity, students will learn about sea ice and land ice. They will observe ice melting on a solid surface near a body of water and ice melting in a body of water.
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This activity invites students to model and observe the effect of melting ice sheets (from land) on sea level and the difference between the effect of melting sea-ice to that of melting land ice on sea level.
This activity invites students to simulate and observe the different effects on sea level from melting sea-ice.
This activity is one of a series in the collection, The Potential Consequences of Climate Variability and Change activities.
Students analyze four data visualizations focused on the topic of sea level. They use a jigsaw method to explore and communicate their findings to their peers.
Sea Level Scientists are also known by several other names (marine geologist, paleoceanographer, paleoclimatologist, etc.). These professionals use natural records from the past to characterize local, regional, and global environments.
This Lesson Plan provides some generic maps, graphs, and data tables for use with the Data Literacy Cube. Because this is a differentiated resource, it is appropriate for multiple grade bands.
Steve Nerem is the leader of NASA’s Sea Level Change team. His project, Observation-Driven Projections of Future Regional Sea Level Change, focuses on using NASA satellite and in situ observations and climate modeling to estimate future regional sea level change.
Oceanography covers a wide range of topics, including marine life and ecosystems, ocean circulation, plate tectonics and the geology of the seafloor, and the chemical and physical properties of the ocean.
A model analyst develops models to help visualize, observe, and predict complicated data. Model analysis is the process of taking large amounts of data and separate it into a structure that makes it intelligible to the binary process of computers. An analyst also manages the flow of information between different user groups through the use of relational databases.