Sea Ice Extension for the Earth as a System Learning Activity

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The purpose of this activity is to identify global patterns and connections in environmental data contained in the GLOBE Earth Systems Poster, to connect observations made within the Earth Systems Poster to data and information at the National Snow and Ice Data Center, and to understand the connections between solar energy and changes at the poles, including feedback related to albedo.

Apply concepts of statistics and probability (including determining function fits to data, slope, intercept, and correlation coefficient for linear fits) to scientific and engineering questions and problems, using digital tools when feasible.

Ask questions that arise from careful observation of phenomena, or unexpected results, to clarify and/or seek additional information.

Make a quantitative and/or qualitative claim regarding the relationship between dependent and independent variables.

Use simple limit cases to test mathematical expressions, computer programs, algorithms, or simulations of a process or system to see if a model “makes sense” by comparing the outcomes with what is known about the real world.

Compare, integrate and evaluate sources of information presented in different media or formats (e.g., visually, quantitatively) as well as in words in order to address a scientific question or solve a problem.

Select appropriate tools to collect, record, analyze, and evaluate data.

Make directional hypotheses that specify what happens to a dependent variable when an independent variable is manipulated.

The foundation for Earth’s global climate systems is the electromagnetic radiation from the sun, as well as its reflection, absorption, storage, and redistribution among the atmosphere, ocean, and land systems, and this energy’s re-radiation into space.

Changes in the atmosphere due to human activity have increased carbon dioxide concentrations and thus affect climate.

Changes of energy and matter in a system can be described in terms of energy and matter flows into, out of, and within that system.

Feedback (negative or positive) can stabilize or destabilize a system.

Algebraic thinking is used to examine scientific data and predict the effect of a change in one variable on another (e.g., linear growth vs. exponential growth).

Empirical evidence is needed to identify patterns.

Changes in systems may have various causes that may not have equal effects.

Sea Ice Extension for the Earth as a System Learning Activity

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