Five-Year Average Global Temperature Anomalies from 1881 to 2006

  • Released Monday, September 25, 2006
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Because of a rapid warming trend over the past 30 years, the Earth is now reaching and passing through the warmest levels seen in the last 12,000 years. This color-coded map shows a progression of changing global surface temperatures from 1881 to 2006, the warmest ranked year on record.

Animation of global temperature anomalies from 1881 to 2006 taken as a five-year moving average. Dark blue indicates areas cooler than average. Dark red indicates areas warmer than average. This animation is annotated with the year that ends the five-year time span used in calculating the moving average.

Temperature color bar

Temperature color bar

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Credits

Please give credit for this item to:
NASA/Goddard Space Flight Center Scientific Visualization Studio

Data provided by Robert B. Schmunk (NASA/GSFC GISS)

Release date

This page was originally published on Monday, September 25, 2006.
This page was last updated on Wednesday, May 3, 2023 at 1:55 PM EDT.


Series

This visualization can be found in the following series:

Datasets used in this visualization

  • GISTEMP [GISS Surface Temperature Analysis (GISTEMP)]

    ID: 585
    Model Collected with GISS Surface Temperature Analysis (GISTEMP) NASA/GISS 1880 - 2006

    The GISS Surface Temperature Analysis version 4 (GISTEMP v4) is an estimate of global surface temperature change. Graphs and tables are updated around the middle of every month using current data files from NOAA GHCN v4 (meteorological stations) and ERSST v5 (ocean areas), combined as described in our publications Hansen et al. (2010) and Lenssen et al. (2019).

    Credit: Lenssen, N., G. Schmidt, J. Hansen, M. Menne, A. Persin, R. Ruedy, and D. Zyss, 2019: Improvements in the GISTEMP uncertainty model. J. Geophys. Res. Atmos., 124, no. 12, 6307-6326, doi:10.1029/2018JD029522.

    This dataset can be found at: https://data.giss.nasa.gov/gistemp/

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Note: While we identify the data sets used in these visualizations, we do not store any further details, nor the data sets themselves on our site.