National Integrated Drought Information System (NIDIS)
Learn more about Teaching Climate Literacy and Energy Awareness»
See how this Static Visualization supports the Next Generation Science Standards»
Middle School: 1 Cross Cutting Concept, 4 Science and Engineering Practices
High School: 1 Disciplinary Core Idea, 2 Science and Engineering Practices
About Teaching Climate Literacy
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Teaching Tips | Science | Pedagogy |
- Educators may need to discuss the nature of the Palmer Drought Index if students are going to analyze maps.
- Resource best used within the context of exploring a specific problem or issue with regard to drought.
About the Science
- This is a section of the National Integrated Drought Information System website that provides maps, data and tools for accessing information on a variety of topics (current conditions, outlooks and forecasts, paleoclimate) related to drought.
- All data is updated every month and 3- and 6-month predictions are supplied for every region in the US.
- Comments from expert scientist:
- Provides a plethora of data, graphics and information for most aspects of climate change from paleoclimate to the affects on agriculture to soil moisture
- Wide variety of temporal and spatial data options
About the Pedagogy
- A comprehensive collection of maps, data, and tools for students to use in examining drought and its effects in their region and state.
- Not designed as a learning tool but rather a comprehensive source of information regarding drought. Basic directions provided for navigating the various topics presented in the site.
- This resource engages students in using scientific data.
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Next Generation Science Standards See how this Static Visualization supports:
Cross Cutting Concepts: 1
MS-C2.2:Cause and effect relationships may be used to predict phenomena in natural or designed systems.
Science and Engineering Practices: 4
MS-P2.5:Develop and/or use a model to predict and/or describe phenomena.
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.
Disciplinary Core Ideas: 1
HS-ESS3.D1:Though the magnitudes of human impacts are greater than they have ever been, so too are human abilities to model, predict, and manage current and future impacts.
Science and Engineering Practices: 2
HS-P2.6:Develop and/or use a model (including mathematical and computational) to generate data to support explanations, predict phenomena, analyze systems, and/or solve problems.
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.