Convective clouds are clouds that develop vertically appearing like big stacks of clouds. One very common example is cumulonimbus clouds. Convective clouds are commonly connected to stormy weather. Monthly Cloud Coverage for Deep Convective Cloud data can be used to predict patterns in weather. The specific pattern associated with this data is tracking and predicting thunderstorms. In this lesson, ... Full description.

In this lesson, students will assume the role of a Department of Forestry Ranger one of whose major concerns is forest fires. Using NASA Surface Scene Type data (biomes) and Monthly Equivalent Water Thickness Land Mass Change Data from 2006, the students will determine areas at high risk for forest fire development. Full description.

Ships travelling between Lake Ontario and Lake Erie use the Welland Canal. Beginning with a conversation between characters Mathise, Geo, and Trig, they explain how a lock in the canal operates by gravity alone, without pumps. The characters use mathematics to solve problems such as how long the locks take to fill and how to express the volume and flow of water in more common terms (bathtubs of water ... Full description.

This is the site of a not for profit educational initiative. The site strives to promote competency in literacy and mathematics using lessons that focus on an aquaculture themes. These lessons include Understanding Percents (through the management of classroom fish), Equivalent Fractions (use food-coloring, sugar, and a dissolved oxygen tests to determine concentrations), and Japanese Garden (where ... Full description.

For this lesson, students will assume the role of an outdoor sports event planner. They will evaluate changes in air quality over a one year time frame based on a review of Air Quality-Carbon Monoxide Data and quantitative line graphs. The data will be used to make an informed decision about the best times of the year to plan for outdoor and indoor sports activities. Full description.

In this lesson, students will investigate changes in air quality due to human interaction particularly burning of fossil fuels, and crop burning which increase levels of carbon monoxide. Students will evaluate changes in air quality over a 6 month time frame using Air Quality-Carbon Monoxide Data and draw conclusions based on observing color plot comparison graphs. Full description.

In this lesson,students will play the role of a sailboat captain in The Hamptons, an upscale vacation venue, who must schedule sailing trips to amuse tourists and make money for the company. Using Monthly Wind Speed data from 1995-2005 from MyNASAData website, students will evaluate changes in the monthly wind speed, draw conclusions about how wind speed will effect their company positively or negatively, ... Full description.

This lesson will connect the idea of the tilt and orbit of the earth (changing of seasons) with monthly changes in snow/ice. Students will evaluate changes in the snow/ice cover from January 2008 to June 2008 and compare to the tilt of the Earth and position in orbit (seasonal change) using monthly Snow/Ice Data from January 2008 to June 2008 from MyNASAData website. Full description.

In this lesson,students will evaluate a location in the Northern Hemisphere and Southern Hemisphere to determine the areas best for collecting solar power. Changes in surface radiation will be evaluated using Monthly Surface Radiation data from 2007 from MyNASAData website. Students will draw conclusions about how surface radiation levels will affect choice of solar power plant location selection ... Full description.

In this lesson, students will play the role of a member of an International Team of Marine Biologists tasked with predicting and monitoring possible harmful algae blooms. They will evaluate changes in the ocean's chlorophyll counts from 1997-2007 using data sets from MyNASAData website, draw conclusions about how the chlorophyll-a levels in the ocean may effect its ecological characteristics and infer ... Full description.