2m Temperature refers to air temperature at 2 meters above the surface. 2m Temperature Anomaly refers to
the departure of the current day's forecasted temperature from a long-term mean for the same day of the year. The
anomalies here are based on a 1979-2000 reference climatology derived from the
NCEP Climate Forecast System Reanalysis (CFSR). This 22-year baseline is used instead of the more common 1981-2010
climate normal because 1979-2000
represents conditions prior to rapid Arctic warming and sea-ice loss. A comparison of different climate baselines
against the historical temperature record is shown here.
Temperature anomalies calculated between GFS (forecast) and CFSR (reanalysis) will differ somewhat from those calculated
entirely within the Climate Forecast System framework (see
this NCEP/NWS discussion on model bias). For the most reliable temperature anomaly estimates, refer to
the Daily Reanalysis Maps page.
The image archive is updated once or twice per month.
Sea Surface Temperature (SST) and SST anomaly maps are generated from
NOAA Optimum Interpolation SST version 2 (OISST V2).
OISST is a 0.25° gridded dataset derived by blending satellite, ship, and buoy measurements. The SST anomalies
is based on a 1971-2000 climatology calculated by NOAA.
This website is produced by the
Climate Change Institute
at the University of Maine.
Our institute has more than a 40-year history of polar exploration, and research
contributions to glaciology, climate science, and anthropology.
Climate Reanalyzer utilizes and provides access to existing publicly-available
datasets and models. Original data sources are provided on the
Available Datasets page.
How to Reference
Please cite both original
data sources and Climate Reanalyzer for any data or images from this website appearing in
journal publications. Suggested journal reference:
"[Data/Image] from Climate Reanalyzer (https://ClimateReanalyzer.org),
Climate Change Institute, University of Maine, USA."
We make every effort to provide datasets and visualizations that are accurate and error-free.
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