Ten-Year Average Global Temperature Anomaly Image from 2000 to 2009

  • Released Tuesday, January 26, 2010
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There is a high degree of interannual (year-to-year) and decadal variability in both global and hemispheric temperatures. Underlying this variability, however, is a long-term warming trend that has become strong and persistent over the past three decades. The long-term trends are more apparent when temperature is averaged over several years. This image represents the 10 year average temperatures anomaly data from 2000 through 2009.



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 Tuesday, January 26, 2010.
This page was last updated on Wednesday, May 3, 2023 at 1:54 PM EDT.


Series

This visualization can be found in the following series:

Papers used in this visualization

http://www.realclimate.org/index.php/archives/2010/01/2009-temperatures-by-jim-hansen/


Datasets used in this visualization

  • GISTEMP [GISS Surface Temperature Analysis (GISTEMP)]

    ID: 585
    Type: Model Sensor: GISS Surface Temperature Analysis (GISTEMP)

    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/

    See all pages that use this dataset

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.