Movie:Monthly global temperature: Difference between revisions
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{{Attribute movie1 | {{Attribute movie1 | ||
|Movie domain = environmental controls | |Movie domain=environmental controls | ||
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{{Attribute movie2 | {{Attribute movie2 | ||
|Movie keywords = Monthly global temperature | |Movie keywords=Monthly global temperature | ||
}} | }} | ||
{{Attribute movie3 | {{Attribute movie3 | ||
|Animation model name = reanalysis of CCMS | |Animation model name=reanalysis of CCMS | ||
|First name contributor=Albert | |First name contributor=Albert | ||
|Last name contributor =Kettner | |Last name contributor=Kettner | ||
|Location movie=Global | |Location movie=Global | ||
|Timespan movie=1 year | |Timespan movie=1 year | ||
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{{Movie description | {{Movie description | ||
|Grade level=High (9-12), Under graduate (13-16), Graduate / Professional | |Grade level=High (9-12), Under graduate (13-16), Graduate / Professional | ||
|One-line movie description = Simulated global mean monthly temperature | |One-line movie description=Simulated global mean monthly temperature | ||
|Extended movie description=This animation shows the global temperature fluctuation through one calendar year. Temperature is measured in degrees Celsius and is visualized using a color scale where colder temperatures are represented by colder colors (blues and greens) and warmer temperatures are represented by warmer colors (yellows and reds). Temperatures were aggregated and averaged by month and geographic location. The global shift in temperature is due to the change in seasons caused by the tilt in the earth’s rotational axis. As the northern and southern hemispheres become closer to the sun (their respective summers) the monthly mean temperature increases. | |Extended movie description=This animation shows the global temperature fluctuation through one calendar year. Temperature is measured in degrees Celsius and is visualized using a color scale where colder temperatures are represented by colder colors (blues and greens) and warmer temperatures are represented by warmer colors (yellows and reds). Temperatures were aggregated and averaged by month and geographic location. The global shift in temperature is due to the change in seasons caused by the tilt in the earth’s rotational axis. As the northern and southern hemispheres become closer to the sun (their respective summers) the monthly mean temperature increases. | ||
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Latest revision as of 16:28, 21 June 2017
Information Page: Monthly global temperature
Play Animation
Global temperature
Key Attributes
| Domain: | environmental controls |
| Keywords: | Monthly global temperature |
| Model name: | reanalysis of CCMS |
| Name: | Albert, Kettner |
| Where: | Global |
| When: | 1 year |
Short Description
Grade level: High (9-12), Under graduate (13-16), Graduate / Professional
Statement: Simulated global mean monthly temperature
Abstract: This animation shows the global temperature fluctuation through one calendar year. Temperature is measured in degrees Celsius and is visualized using a color scale where colder temperatures are represented by colder colors (blues and greens) and warmer temperatures are represented by warmer colors (yellows and reds). Temperatures were aggregated and averaged by month and geographic location. The global shift in temperature is due to the change in seasons caused by the tilt in the earth’s rotational axis. As the northern and southern hemispheres become closer to the sun (their respective summers) the monthly mean temperature increases.
Theory
Global temperature distribution is derived from remote sensing data gathered from satellites. One of the instruments used in measuring land surface temperatures is ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) which is aboard the TERRA satellite. The orbiting satellites gather data regarding the reflection of various wavelength bands from earth’s surface which can then be used to create temperature profiles for a given region. These temperatures are then compared with local observing stations to validate and help calibrate the computed data. With global temperature data distributed over a large enough time scale, representative means can be created these means are then compiled to create global temperature profiles.
Links
http://terra.nasa.gov/About/ASTER/index.php
References
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