Title
Cross Wavelet Analysis For Retrieving Climate Teleconnection Signals Between Sea Surface Temperature And Forest Greenness
Keywords
Climate change; Hydrometeorology; Precipitation; Sea surface temperature; Teleconnection patterns; Vegetation cover
Abstract
Global sea surface temperature (SST) anomalies have a demonstrable effect on vegetation dynamics patterns throughout the continental U.S. SST variations have been correlated with greenness (vegetation densities) via ocean-atmospheric interactions known as climate teleconnections. Prior research has demonstrated that teleconnections can be used for climate prediction across a wide region even at subcontinental scales. Yet these studies tend to have large uncertainties in estimates by utilizing simple linear analyses to examine the teleconnection relationships. They do not consider nonstationary signals that may exist, nor teleconnection identification at the local scale. This paper establishes short-term (10-year), linear and nonstationary teleconnection signals between SST at the North Atlantic and North Pacific oceans and greenness within the Siamese Ponds Wilderness (Adirondack State Park) located in New York. This pristine forested site was selected to avoid anthropogenic influences that may otherwise mask climate teleconnection signals. Lagged pixel-wise linear teleconnection patterns across anomalous datasets found significant correlation regions between SST and Siamese Ponds Wilderness. Nonstationary signals also exhibit salient co-variations between SST and greenness at biennial and triennial frequencies across consistent oceanic regions indexed within this study, which are found to be consistent with the El Nino Southern Oscillation (ENSO) and North Atlantic Oscillation (NAO). Multiple regression analysis of the combined ocean indices explained up to 40% of the greenness at the site throughout all seasons. These short-term teleconnection signals being identified can certainly improve the understanding of climate change impact on ecosystems across part of the continental U.S. © 2012 SPIE.
Publication Date
12-1-2012
Publication Title
Proceedings of SPIE - The International Society for Optical Engineering
Volume
8513
Number of Pages
-
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1117/12.927631
Copyright Status
Unknown
Socpus ID
84872519065 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84872519065
STARS Citation
Mullon, Lee; Chang, Ni Bin; and Weiss, Jason, "Cross Wavelet Analysis For Retrieving Climate Teleconnection Signals Between Sea Surface Temperature And Forest Greenness" (2012). Scopus Export 2010-2014. 3983.
https://stars.library.ucf.edu/scopus2010/3983