Global Analysis - November 2001
Note: The data presented in this report are preliminary. Ranks and anomalies may change as more complete data are received and processed. Effective September 2012, the GHCN-M version 3.2.0 dataset of monthly mean temperature replaced the GHCN-M version 3.1.0 monthly mean temperature dataset. Beginning with the August 2012 Global monthly State of the Climate Report, released on September 17, 2012, GHCN-M version 3.2.0 is used for NCDC climate monitoring activities, including calculation of global land surface temperature anomalies and trends. For more information about this newest version, please see the GHCN-M version 3.2.0 Technical Report.
*The GHCN-M version 3.1.0 Technical Report was revised on September 5, 2012 to accurately reflect the changes incorporated in that version. Previously that report incorrectly included discussion of changes to the Pairwise Homogeneity Algorithm (PHA). Changes to the PHA are included in version 3.2.0 and described in the version 3.2.0 Technical Report. Please see the Frequently Asked Questions to learn more about this update.
Global Highlights:
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Contents of this Section: |
Introduction
| Using a 1992-2001 base period as shown in the adjacent blended temperature product of satellite and in-situ data, anomalous warmth during the period September-November in the Northern Hemisphere was closely correlated to the location of upper level ridges of high pressure. These ridges of high pressure (depicted by positive 500 millibar height anomalies) were centered near the Canadian-U.S. border as well as Siberia into Mongolia and China. Temperature anomalies calculated from in-situ station data using a 1961-1990 base period also show the warmer than average temperatures in these regions with cooler than average temperatures restricted to much of Australia and Argentina. Similar temperature distributions were present during November. | ![]() larger image |
Temperature
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Precipitation
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References:
Peterson, T.C. and R.S. Vose, 1997: An Overview of the Global
Historical Climatology Network Database. Bull. Amer. Meteorol.
Soc., 78, 2837-2849.




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