Climate Prediction Center

Type of Resource: Link

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Description

This National Weather Service interactive visualization includes outlook maps for different types weather predictions. The map includes temperature and precipitation predictions for up to 3 months out, as well as predictions for tropical hazards, weather hazards, and drought. Further data is easily accessed.

MS-ESS2-5 Collect data to provide evidence for how the motions and complex interactions of air masses results in changes in weather conditions.

MS-ESS2-6 Develop and use a model to describe how unequal heating and rotation of the Earth cause patterns of atmospheric and oceanic circulation that determine regional climates.

Construct, analyze, and/or interpret graphical displays of data and/or large data sets to identify linear and nonlinear relationships.

Use graphical displays (e.g., maps, charts, graphs, and/or tables) of large data sets to identify temporal and spatial relationships.

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.

Evaluate limitations of a model for a proposed object or tool.

Use and/or develop a model of simple systems with uncertain and less predictable factors.

Develop and/or use a model to predict and/or describe phenomena.

Develop, revise, and/or use a model based on evidence to illustrate and/or predict the relationships between systems or between components of a system.

Current models predict that, although future regional climate changes will be complex and varied, average global temperatures will continue to rise. The outcomes predicted by global climate models strongly depend on the amounts of human-generated greenhouse gases added to the atmosphere each year and by the ways in which these gases are absorbed by the ocean and biosphere.

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.

Because these patterns are so complex, weather can only be predicted probabilistically.

Empirical evidence is needed to identify patterns.

Models can be used to predict the behavior of a system, but these predictions have limited precision and reliability due to the assumptions and approximations inherent in models.

Graphs, charts, and images can be used to identify patterns in data.

Climate Prediction Center

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