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Title: Large-scale climatic reconstruction based on high resolution multi-proxy data

Abstract

This paper presents some initial results involving the reconstruction of large-scale annual and seasonal surface temperature patterns over the past several centuries based on the multivariate calibration of widely distributed annual proxy indicators against gridded instrumental surface temperature data. This calibration is based on a canonical correlation regression of proxy and instrumental data over a mutual interval of overlap. The quality of these reconstructions is verified through cross-validation statistics. This methodology produces a long-term seasonal or annual sequence of large-scale patterns of surface temperature as well as some useful diagnosed indices such as global and hemisphere average temperature, and the NINO3 index of El Nino-related temperature variations in the eastern Pacific. 15 refs., 9 figs.

Authors:
; ;
Publication Date:
OSTI Identifier:
535512
Report Number(s):
CONF-970207-
TRN: 97:005076-0044
Resource Type:
Conference
Resource Relation:
Conference: 77. annual meeting of the American Meteorological Society, Long Beach, CA (United States), 2-7 Feb 1997; Other Information: PBD: 1997; Related Information: Is Part Of Eighth symposium on global change studies; PB: 402 p.
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; CLIMATES; HISTORICAL ASPECTS; ANNUAL VARIATIONS; MULTIVARIATE ANALYSIS; CLIMATIC CHANGE; CLIMATE MODELS; SEASONAL VARIATIONS

Citation Formats

Mann, M E, Bradley, R S, and Hughes, M K. Large-scale climatic reconstruction based on high resolution multi-proxy data. United States: N. p., 1997. Web.
Mann, M E, Bradley, R S, & Hughes, M K. Large-scale climatic reconstruction based on high resolution multi-proxy data. United States.
Mann, M E, Bradley, R S, and Hughes, M K. 1997. "Large-scale climatic reconstruction based on high resolution multi-proxy data". United States.
@article{osti_535512,
title = {Large-scale climatic reconstruction based on high resolution multi-proxy data},
author = {Mann, M E and Bradley, R S and Hughes, M K},
abstractNote = {This paper presents some initial results involving the reconstruction of large-scale annual and seasonal surface temperature patterns over the past several centuries based on the multivariate calibration of widely distributed annual proxy indicators against gridded instrumental surface temperature data. This calibration is based on a canonical correlation regression of proxy and instrumental data over a mutual interval of overlap. The quality of these reconstructions is verified through cross-validation statistics. This methodology produces a long-term seasonal or annual sequence of large-scale patterns of surface temperature as well as some useful diagnosed indices such as global and hemisphere average temperature, and the NINO3 index of El Nino-related temperature variations in the eastern Pacific. 15 refs., 9 figs.},
doi = {},
url = {https://www.osti.gov/biblio/535512}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Sat Nov 01 00:00:00 EST 1997},
month = {Sat Nov 01 00:00:00 EST 1997}
}

Conference:
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