Zonal Climate Anomalies

  • Released Monday, March 7, 2022
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The visualization presents zonal temperature anomalies between the years 1880-2021. The visualization illustrates that the Arctic is warming much faster than other regions of the Earth.

These temperatures are based on the GISS Surface Temperature Analysis (GISTEMP v4), an estimate of global surface temperature change. The latitude zones are 90N-64N, 64N-44N, 44N-24N, 24N-EQU, EQU-24S, 24S-44S, 44S-64S, 64S-90S. Anomalies are defined relative to a base period of 1951-1980. The data file used to create this visualization can be accessed here.

The Goddard Institute of Space Studies (GISS) is a NASA laboratory managed by the Earth Sciences Division of the agency’s Goddard Space Flight Center in Greenbelt, Maryland. The laboratory is affiliated with Columbia University’s Earth Institute and School of Engineering and Applied Science in New York.



Credits

Please give credit for this item to:
NASA's Scientific Visualization Studio

Release date

This page was originally published on Monday, March 7, 2022.
This page was last updated on Sunday, March 17, 2024 at 12:14 AM EDT.


Datasets used in this visualization

  • GISTEMP [GISS Surface Temperature Analysis (GISTEMP)]

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

    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.