In Earth System Science, underling factors affecting observable phenomena can be difficult to identify and describe.  The Iceberg Diagram diagram uses the metaphor of an iceberg to demonstrate the idea of visible vs hidden as it relates to Earth science phenomena.  This teaching strategy helps students to see beyond the obvious and to develop their awareness of the underlying causes, relationships, and/or conditions that can contribute to phenomenological events. It also provides a framework for digging deeper into phenomena-driven lessons in Earth Science.

My NASA Data has recently released several new resources, StoryMaps, for use in educational settings.

The Earth System Satellite Images, help the learner visualize how different Earth system variables change over time, establish cause and effect relationships for a specific variable, identify patterns, and determine relationships among variables over one year.

Examine (daytime) surface temperature and solar radiation received at locations found near similar latitudes using NASA Data.

This resource helps to identify and access GLOBE protocols and hands-on learning activities that complement the Changing Air Temperatures phenomenon.

Students analyze surface air temperature anomalies to identify change with respect to different latitudes across the world.

Interpret the map, or model, to find patterns in the occurrence of tropical cyclones from 1842 through 2018.

Students observe the map image, individually, looking for changes in surface air temperatures (using data displayed, unit of measure, range of values, etc.) and noticeable patterns.

The Earth System Satellite, help the learner visualize how different Earth system variables change over time. In this lesson, students will graph six points for a location over one year.

The Earth System Satellite Images, along with the Data Literacy Cubes, help the learner visualize how different Earth system variables change over time, establish cause and effect relationships, identify patterns, and determine relationships among variables.