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Title: An updated global grid point surface air temperature anomaly data set: 1851--1990

Abstract

This document presents land-based monthly surface air temperature anomalies (departures from a 1951--1970 reference period mean) on a 5{degree} latitude by 10{degree} longitude global grid. Monthly surface air temperature anomalies (departures from a 1957--1975 reference period mean) for the Antarctic (grid points from 65{degree}S to 85{degree}S) are presented in a similar way as a separate data set. The data were derived primarily from the World Weather Records and the archives of the United Kingdom Meteorological Office. This long-term record of temperature anomalies may be used in studies addressing possible greenhouse-gas-induced climate changes. To date, the data have been employed in generating regional, hemispheric, and global time series for determining whether recent (i.e., post-1900) warming trends have taken place. This document also presents the monthly mean temperature records for the individual stations that were used to generate the set of gridded anomalies. The periods of record vary by station. Northern Hemisphere station data have been corrected for inhomogeneities, while Southern Hemisphere data are presented in uncorrected form. 14 refs., 11 figs., 10 tabs.

Authors:
; ;
Publication Date:
Research Org.:
Oak Ridge National Lab., TN (United States). Carbon Dioxide Information Analysis Center
Sponsoring Org.:
USDOE, Washington, DC (United States)
OSTI Identifier:
10109594
Report Number(s):
ORNL/CDIAC-37; NDP-020/R1
ON: DE92004582
DOE Contract Number:  
AC05-84OR21400
Resource Type:
Technical Report
Resource Relation:
Other Information: DN: Includes 20 sheets of 24 microfiche supplements. Environmental Sciences Division Publication No. 3520; PBD: Oct 1991
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; TEMPERATURE DISTRIBUTION; GLOBAL ASPECTS; AMBIENT TEMPERATURE; COMPILED DATA; SPATIAL DISTRIBUTION; MONTHLY VARIATIONS; METEOROLOGY; HISTORICAL ASPECTS; TIME-SERIES ANALYSIS; GRIDS; 540110; BASIC STUDIES

Citation Formats

Sepanski, R. J., Boden, T. A., and Daniels, R. C. An updated global grid point surface air temperature anomaly data set: 1851--1990. United States: N. p., 1991. Web. doi:10.2172/10109594.
Sepanski, R. J., Boden, T. A., & Daniels, R. C. An updated global grid point surface air temperature anomaly data set: 1851--1990. United States. doi:10.2172/10109594.
Sepanski, R. J., Boden, T. A., and Daniels, R. C. Tue . "An updated global grid point surface air temperature anomaly data set: 1851--1990". United States. doi:10.2172/10109594. https://www.osti.gov/servlets/purl/10109594.
@article{osti_10109594,
title = {An updated global grid point surface air temperature anomaly data set: 1851--1990},
author = {Sepanski, R. J. and Boden, T. A. and Daniels, R. C.},
abstractNote = {This document presents land-based monthly surface air temperature anomalies (departures from a 1951--1970 reference period mean) on a 5{degree} latitude by 10{degree} longitude global grid. Monthly surface air temperature anomalies (departures from a 1957--1975 reference period mean) for the Antarctic (grid points from 65{degree}S to 85{degree}S) are presented in a similar way as a separate data set. The data were derived primarily from the World Weather Records and the archives of the United Kingdom Meteorological Office. This long-term record of temperature anomalies may be used in studies addressing possible greenhouse-gas-induced climate changes. To date, the data have been employed in generating regional, hemispheric, and global time series for determining whether recent (i.e., post-1900) warming trends have taken place. This document also presents the monthly mean temperature records for the individual stations that were used to generate the set of gridded anomalies. The periods of record vary by station. Northern Hemisphere station data have been corrected for inhomogeneities, while Southern Hemisphere data are presented in uncorrected form. 14 refs., 11 figs., 10 tabs.},
doi = {10.2172/10109594},
journal = {},
number = ,
volume = ,
place = {United States},
year = {1991},
month = {10}
}