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National Integrated Drought Information System: Data, Maps and Tools

National Integrated Drought Information System (NIDIS)

This is a extensive collection of maps, data, and tools that students can use to research drought and its impacts on agriculture, wildfires, water supply, vegetation, soil moisture, temperature and precipitation.

Learn more about Teaching Climate Literacy and Energy Awareness»

ngssSee 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

Climate Literacy
About Teaching Climate Literacy

Changes in climate is normal but varies over times/ space
About Teaching Principle 4
Other materials addressing 4d
Observations are the foundation for understanding the climate system
About Teaching Principle 5
Other materials addressing 5b
Increased extreme weather events due to climate change
About Teaching Principle 7
Other materials addressing 7c

Notes From Our Reviewers The CLEAN collection is hand-picked and rigorously reviewed for scientific accuracy and classroom effectiveness. Read what our review team had to say about this resource below or learn more about how CLEAN reviews teaching materials
Teaching Tips | Science | Pedagogy | Technical Details

Teaching Tips

  • 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:
    Scientific strengths:
    - 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.

Technical Details/Ease of Use

  • Mostly free of scientific jargon, a student-friendly site.
  • Keys to maps are clear and easy to read. Maps can be magnified for easier viewing.
  • Site easy to navigate, especially if user has a particular question or issue in mind to guide navigation.

Next Generation Science Standards See how this Static Visualization supports:

Middle School

Cross Cutting Concepts: 1

Cause and effect

MS-C2.2:Cause and effect relationships may be used to predict phenomena in natural or designed systems.

Science and Engineering Practices: 4

Developing and Using Models, Analyzing and Interpreting Data

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.

High School

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

Developing and Using Models, Analyzing and Interpreting Data

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.

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