Global Climate Change The Exploratorium
home atmosphere hydrosphere cryosphere biosphere global effects
home
   

 Global Average Near-Surface Temperatures—Monthly Anomalies (1961–2002)

Measuring climate change is more difficult than simply taking measurements of weather phenomena at one time and place. Climate refers to overall, long-term weather patterns, so understanding climate change involves combining many different measurements. For example, climate researchers can compare changes in a measured global temperature each year with the normal temperature, or long-term mean, averaged over prior years.

This graph shows near-surface atmospheric temperature anomalies—differences between the average measured global air temperature and the long-term mean. These data come from many instruments on land, ships and buoys, and satellites.

Discerning a trend between 1961 and about 1977 is difficult: Sometimes the average global temperature was above normal, sometimes below. This is not surprising, because temperature is inherently variable—short-term fluctuations are not unusual. But most anomalies since 1977 have been above normal—warmer than the long-term mean. The latest averages indicate a global temperature increase of around 0.7ºC. This might seem small, but the complexity of the climate means that even small deviations can have major effects.

 


 glossary glossary terms  

Click for definitions of words used on this page:

climate
El Niño/Southern Oscillation
mean
noise
sampling
statistical significance

View the full, printable version of the glossary.


Global Average Near-Surface Temperatures—Monthly Anomalies (1961-2002)

Global Average Near-Surface Temperatures—Monthly Anomalies (1961–2002) - This graph shows differences between normal and actual global temperatures from 1961 through 2002. The 0 line represents normal temperature; deviations above it represent times when the global average was above normal, and deviations below it are times when the average was below normal. Source:Hadley Centre for Climate Prediction and Research


 questions about the data  
question How can we tell the difference between short-term fluctuations in the weather and long-term climate change?
email Email your own questions about this data set. 

 research connection  

An individual measurement is subject to error—but when researchers take many measurements and average them, they may get a more reliable index of general trends. All individual measurements have random deviations above or below normal or expected values, but those kinds of deviations tend to cancel each other out when they are combined into an overall average. This basic scientific technique is often used to understand a general trend made up of many individual elements.


 related sites  

Common Sense Climate Index - Choose a weather station and graph climate changes over time.

Surface Temperature Station Data - Check surface temperature records at various locations worldwide. Some of the records go back to the 1800s.

Weatherbase - Check historic weather records for specific areas in the U.S. and worldwide.
 


home | atmosphere | hydrosphere | cryosphere | biosphere | global effects

about this site - © 2002 The Exploratorium