This visualization shows Aqua-AIRS simulated volumetric cloud data for September 13, 1999. The data was created using the Finite Volume Community Climate Model (FVCCM). Temperature and cloud data sets were match rendered for cross dissolves in post production. This visualization was created as a part of the Aqua prelaunch package.

This visualization shows Aqua-AIRS simulated volumetric cloud data for September 13, 1999. The data was created using the Finite Volume Community Climate Model (FVCCM). Temperature and cloud data sets were match rendered for cross dissolves in post production. This visualization was created as a part of the Aqua prelaunch package.

This visualization shows Aqua-AIRS simulated volumetric cloud data for September 13, 1999. The data was created using the Finite Volume Community Climate Model (FVCCM). Temperature and cloud data sets were match rendered for cross dissolves in post production. This visualization was created as a part of the Aqua prelaunch package.

This visualization shows Aqua-AIRS simulated volumetric cloud data for September 13, 1999. The data was created using the Finite Volume Community Climate Model (FVCCM). Temperature and cloud data sets were match rendered for cross dissolves in post production. This visualization was created as a part of the Aqua prelaunch package.

This visualization shows Aqua-AIRS simulated volumetric temperature data for September 13, 1999. The data was created using the Finite Volume Community Climate Model (FVCCM). Temperature and cloud data sets were match rendered for cross dissolves in post production. This visualization was created as a part of the Aqua prelaunch package.

This visualization shows Aqua-Airs simulated volumetric temperature data for September 13, 1999. The data was created using the Finite Volume Community Climate Model (FVCCM). Temperature and cloud data sets were match rendered for cross dissolves in post production. This visualization was created as a part of the Aqua prelaunch package.

This visualization shows Aqua-Airs simulated volumetric temperature data for September 13, 1999. The data was created using the Finite Volume Community Climate Model (FVCCM). Temperature and cloud data sets were match rendered for cross dissolves in post production. This visualization was created as a part of the Aqua prelaunch package.

This visualization shows Aqua-AIRS simulated volumetric temperature data for September 13, 1999. The data was created using the Finite Volume Community Climate Model (FVCCM). Temperature and cloud data sets were match rendered for cross dissolves in post production. This visualization was created as a part of the Aqua prelaunch package.

Relevant material from MIT's introductory courses to support students as they study and educators as they teach the AP Physics curriculum.

Global surface temperatures in 1998 set a new record for the period of instrumental measurements, report researchers at the NASA Goddard Institute for Space Studies who analyze data collected from several thousand meteorological stations around the world. This visualization shows surface temperature anomalies from 1950 through November, 1998. The 1998 warmth was associated partly with a strong El Nino that warmed the air over the eastern tropical Pacific Ocean in the first half of the year and in turn affected weather around the world. Red and yellow colors indicate warmer than normal conditions and blue colors indicates cooler than normal conditions.

This is the third of four curriculum guides focusing on astrobiology and careers. Students are confronted with the challenge of searching for and designing a planet that would be habitable to humans. Using an online, multimedia module, students make changes to the Earth-s interior and draw conclusions about which factors are necessary for human survival. Students then engage in classroom activities that explore the effects of heat and pressure on states of matter, density and movement through convection. They further explore the resulting process of plate tectonics and volcanoes and the role these play in the carbon cycle. Finally, students investigate the Earth-s magnetic field and connect their learning to the systems they explored in Astronomy and Atmospheric Sciences.

This module of mine gives a fundamental idea of the theory of asymptotic freedom and the quark confinement hypothesis.It contains assimilated elements from various books and dictionaries.

"This undergraduate class is designed to introduce students to the physics that govern the circulation of the ocean and atmosphere. The focus of the course is on the processes that control the climate of the planet.AcknowledgmentsProf. Ferrari wishes to acknowledge that this course was originally designed and taught by Prof. John Marshall."

Experiment with a helium balloon, a hot air balloon, or a rigid sphere filled with different gases. Discover what makes some balloons float and others sink.

How does the blackbody spectrum of the sun compare to visible light? Learn about the blackbody spectrum of the sun, a light bulb, an oven, and the earth. Adjust the temperature to see the wavelength and intensity of the spectrum change. View the color of the peak of the spectral curve.

Concepts of building technology and experimental methods. Projects vary yearly and have included design and test of strategies for daylighting, passive heating and cooling, and improved indoor air quality. Experimental methods focus on measurement and analysis of thermally driven and wind-driven airflows, lighting intensity and glare, heat flow and thermal storage, and load deformation of materials. Experiments are conducted at model and full scale and are often motivated by ongoing field work in developing countries.

This collection of Climate Change Graphics is from Earth: Inside and Out, part of the Museum's Seminars on Science series. These distance-learning courses are designed to help educators meet the new national science standards.

The research-based Arctic Climate Modeling Program (ACMP) is funded by NSF ITEST. Curriculum based resources were designed with input from 21 scientists from the University of Alaska Fairbanks Geophysical Institute. Resources include K-12 inquiry-based classroom lessons, a student network for observing arctic weather, digital lectures, and an interactive multimedia learning system (on DVD).

The purpose of this resource is to log soil data using a Davis soil moisture and temperature station. Soil moisture and temperature sensors are installed at multiple depths and a station is set up to measure and record measurements at 15 minute intervals. These measurements are transferred to your school\s computer and then submitted to GLOBE via email data entry. Gravimetric soil moisture measurements must be taken to develop calibration curves for the soil moisture sensors.