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Title: Global and Hemispheric Annual Temperature Variations Between 1854 and 1991 (revised 1994) (NDP-022)

Abstract

This data set contains estimates of global and hemispheric annual temperature variations, relative to a 1950 through 1979 reference period, for 1861 through 1991. The estimates are based on corrected land and ocean data. Land data were derived from meteorological data and fixed-position weather-ship data that were corrected for nonclimatic errors, such as station shifts and/or instrument changes. The marine data used were those in the Comprehensive Ocean-Atmosphere Data Set (COADS) compilation, which with updates covers to 1986. Updates to 1991 were made with hemispheric sea-surface temperature estimates produced by the U.K. Meteorological Office. Each record includes year and six annual temperature variations: one estimate each for the globe, the Northern Hemisphere, and the Southern Hemisphere and another estimate each that reflects an adjustment to account for the influence of El Niño/Southern Oscillation events. The data are in one file of 13 kB.For access to the data files, click this link to the CDIAC data transition website: http://cdiac.ess-dive.lbl.gov/ndps/ndp022.html

Authors:
; ;
  1. University of East Anglia , Climatic Research Unit
Publication Date:
Other Number(s):
osti:1394923; doi:10.3334/CDIAC/CLI.NDP022; cdiac:doi 10.3334/CDIAC/cli.ndp022
Research Org.:
Environmental System Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE) (United States)
Sponsoring Org.:
U.S. DOE > Office of Science (SC) > Biological and Environmental Research (BER) (SC-23)
Subject:
54 ENVIRONMENTAL SCIENCES
Keywords:
Global Annual Temperature Variations; Hemispheric Annual Temperature Variations; El Nino; Southern Oscillation; Land Data; Marine Data; Meteorological Data; COADS; Sea Surface Temperatures; Marine Air Temperatures; NDP-022; GENSO ; GLOBE; IYEAR; NENSO; NHEM; SENSO; SHEM
OSTI Identifier:
1394923
DOI:
https://doi.org/10.3334/CDIAC/cli.ndp022

Citation Formats

Jones, P. D., Wigley, T. M. L., and Wright, P. B. Global and Hemispheric Annual Temperature Variations Between 1854 and 1991 (revised 1994) (NDP-022). United States: N. p., 1998. Web. doi:10.3334/CDIAC/cli.ndp022.
Jones, P. D., Wigley, T. M. L., & Wright, P. B. Global and Hemispheric Annual Temperature Variations Between 1854 and 1991 (revised 1994) (NDP-022). United States. doi:https://doi.org/10.3334/CDIAC/cli.ndp022
Jones, P. D., Wigley, T. M. L., and Wright, P. B. 1998. "Global and Hemispheric Annual Temperature Variations Between 1854 and 1991 (revised 1994) (NDP-022)". United States. doi:https://doi.org/10.3334/CDIAC/cli.ndp022. https://www.osti.gov/servlets/purl/1394923. Pub date:Tue Feb 24 00:00:00 EST 1998
@article{osti_1394923,
title = {Global and Hemispheric Annual Temperature Variations Between 1854 and 1991 (revised 1994) (NDP-022)},
author = {Jones, P. D. and Wigley, T. M. L. and Wright, P. B.},
abstractNote = {This data set contains estimates of global and hemispheric annual temperature variations, relative to a 1950 through 1979 reference period, for 1861 through 1991. The estimates are based on corrected land and ocean data. Land data were derived from meteorological data and fixed-position weather-ship data that were corrected for nonclimatic errors, such as station shifts and/or instrument changes. The marine data used were those in the Comprehensive Ocean-Atmosphere Data Set (COADS) compilation, which with updates covers to 1986. Updates to 1991 were made with hemispheric sea-surface temperature estimates produced by the U.K. Meteorological Office. Each record includes year and six annual temperature variations: one estimate each for the globe, the Northern Hemisphere, and the Southern Hemisphere and another estimate each that reflects an adjustment to account for the influence of El Niño/Southern Oscillation events. The data are in one file of 13 kB.For access to the data files, click this link to the CDIAC data transition website: http://cdiac.ess-dive.lbl.gov/ndps/ndp022.html},
doi = {10.3334/CDIAC/cli.ndp022},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Feb 24 00:00:00 EST 1998},
month = {Tue Feb 24 00:00:00 EST 1998}
}