Disciplinary Core Ideas
MS-ESS2.D1: Weather and climate are influenced by interactions involving sunlight, the ocean, the atmosphere, ice, landforms, and living things. These interactions vary with latitude, altitude, and local and regional geography, all of which can affect oceanic and atmospheric flow patterns.
HS-ESS2.E1: The many dynamic and delicate feedbacks between the biosphere and other Earth systems cause a continual co-evolution of Earth’s surface and the life that exists on it.
Science and Engineering Practices
MS-P4.1: Construct, analyze, and/or interpret graphical displays of data and/or large data sets to identify linear and nonlinear relationships.
MS-P4.2: Use graphical displays (e.g., maps, charts, graphs, and/or tables) of large data sets to identify temporal and spatial relationships.
MS-P4.4: Analyze and interpret data to provide evidence for phenomena.
MS-P4.7: Analyze and interpret data to determine similarities and differences in findings.
HS-P4.1: Analyze data using tools, technologies, and/or models (e.g., computational, mathematical) in order to make valid and reliable scientific claims or determine an optimal design solution.
HS-P4.3: Consider limitations of data analysis (e.g., measurement error, sample selection) when analyzing and interpreting data
HS-P4.4: Compare and contrast various types of data sets (e.g., self-generated, archival) to examine consistency of measurements and observations.
HS-P4.5: Evaluate the impact of new data on a working explanation and/or model of a proposed process or system.
MS-C5.2: Within a natural or designed system, the transfer of energy drives the motion and/or cycling of matter.
MS-C7.1: Explanations of stability and change in natural or designed systems can be constructed by examining the changes over time and forces at different scales, including the atomic scale.
MS-C1.4: Graphs, charts, and images can be used to identify patterns in data.
MS-C2.2: Cause and effect relationships may be used to predict phenomena in natural or designed systems.
HS-C1.4: Mathematical representations are needed to identify some patterns.
HS-C2.1: Empirical evidence is required to differentiate between cause and correlation and make claims about specific causes and effects.
HS-C3.5: 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).
HS-C5.2: 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.
HS-C7.1: Much of science deals with constructing explanations of how things change and how they remain stable.
HS-C7.2: Change and rates of change can be quantified and modeled over very short or very long periods of time. Some system changes are irreversible.
HS-C7.3: Feedback (negative or positive) can stabilize or destabilize a system.