BOB TISDALE has compiled some outstanding time series graphs comparing different ocean basins and there warming or cooling anomalies from 2004 to 2014 ( 10 yr ARGO time series)
Forget the boring title Bob has given.. Go in and enjoy this feast of information you MUST have ..
THE ARCTIC BASIN IS COOLING FASTER THAN ANY OTHER BASIN SINCE 2004
AND THERE IS MORE
THE SOUTHERN HEMISPHERE IS WARMING FASTER THAN THE NORTHERN HEMISPHERE CURRENTLY
The Indian Ocean has had the greatest warming during the ARGO era
WHICH LATITUDES WARMED AND WHICH ONES COOLED?
“During the ARGO era, the greatest warming to depths of 2000 meters occurred at the lower mid-latitudes of the Northern Hemisphere and the mid-latitudes of the Southern Hemisphere. The greatest cooling occurred in the mid-to-high latitudes of the Northern Hemisphere, with a comparatively slight cooling in the lower latitudes of the Northern Hemisphere and in the Southern Ocean surrounding Antarctica. Note also that the cooling in the Northern Hemisphere encompasses more than the Arctic”
Bob Tisdale - Climate Observations
The KNMI Climate Explorer has added a number of datasets to their Monthly observations webpage, where users select desired data based on global coordinates. (Many thanks to Dr. Geert Jan van Oldenborgh of KNMI.) The new datasets include, under the heading of Ocean mean temperature, the National Oceanographic Data Center (NODC) Vertically Averaged Temperature Anomaly data of the global oceans. The data are supported by the Levitus et al.
(2009) (2012) paper World Ocean Heat Content and Thermosteric Sea Level change (0-2000 m),1955-2010. Basically, the NODC Vertically Averaged Temperature data are the temperature component of their Ocean Heat Content data. KNMI has added the vertically averaged temperature anomaly data for the depth ranges of 0-100 meters (1955 to present), 0-700 meters (1955 to present) and 0-2000 meters (2005 to present).
Note: KNMI has also added to their Climate Explorer the Japanese Meteorological Agency (JMA) Ocean Heat Content data for…
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