nerc.ac.uk

A spatiotemporal analysis of U.S. station temperature trends over the last century

Capparelli, V.; Franzke, C.; Vecchio, A.; Freeman, M.P. ORCID: https://orcid.org/0000-0002-8653-8279; Watkins, N.W.; Carbone, V.. 2013 A spatiotemporal analysis of U.S. station temperature trends over the last century. Journal of Geophysical Research: Atmospheres, 118 (14). 7427-7434. https://doi.org/10.1002/jgrd.50551

Before downloading, please read NORA policies.
[img]
Preview
Text (Open Access)
© 2013. The Authors.
jgrd50551.pdf - Published Version
Available under License Creative Commons Attribution.

Download (5MB) | Preview

Abstract/Summary

This study presents a nonlinear spatio-temporal analysis of 1167 station temperature records from the United States Historical Climatology Network covering the period from 1898 through 2008. We use the Empirical Mode Decomposition (EMD) method to extract the generally nonlinear trends of each station. The statistical significance of each trend is assessed against three null models of the background climate variability, represented by stochastic processes of increasing temporal correlation length. We find strong evidence that more than 50 percent of all stations experienced a significant trend over the last century with respect to all three null models. A spatio-temporal analysis reveals a significant cooling trend in the South-East and significant warming trends in the rest of the contiguous US. It also shows that the warming trend appears to have migrated equatorward. This shows the complex spatio-temporal evolution of climate change at local scales.

Item Type: Publication - Article
Digital Object Identifier (DOI): https://doi.org/10.1002/jgrd.50551
Programmes: BAS Programmes > Polar Science for Planet Earth (2009 - ) > Environmental Change and Evolution
ISSN: 0148-0227
Additional Keywords: Global Change; Atmospheric Processes; Nonlinear geophysics
Date made live: 01 Nov 2012 08:00 +0 (UTC)
URI: https://nora.nerc.ac.uk/id/eprint/20126

Actions (login required)

View Item View Item

Document Downloads

Downloads for past 30 days

Downloads per month over past year

More statistics for this item...