Title
Multisensor Analysis Of Teleconnection Signals In Relation To Terrestrial Precipitation And Forest Greenness In North And Central America
Keywords
Central America; North Americ; Remote Sensing; Teleconnection Patterns; Wavelt Analysis
Abstract
Identification of teleconnection patterns at a local scale is challenging, largely due to the coexistence of non-stationary and non-linear signals embedded within sea surface temperature (SST) anomalies. This study investigates how the oceanic teleconnection signals affect the forested sites in the North and Central America based on mulitsensor data. These impacts were found to affect 20-40% of precipitation and 30-60% of vegetation. The non-linear spectral wavelet analysis showed that the terrestrial hydroecological responses of the Central America and Northeast sites are mostly affected by the Pacific Ocean (i.e. El-Nino Southern Oscillation and Madden-Julian Oscillation) and the Atlantic Ocean (i.e. North Atlantic Oscillation and tropical Atlantic) respectively, while the responses of the Northwest site are influenced by tropical Atlantic and Pacific oceans. In addition, it indicated the periodic high and consistent quasi-biennial to triennial low frequency signals between SST anomalies and terrestrial responses of the Northeast and Central America sites, whereas the periodic low frequency signals were only detected in the Northwest site. © 2014 IEEE.
Publication Date
1-1-2014
Publication Title
Proceedings of the 11th IEEE International Conference on Networking, Sensing and Control, ICNSC 2014
Number of Pages
649-654
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/ICNSC.2014.6819702
Copyright Status
Unknown
Socpus ID
84902359548 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84902359548
STARS Citation
Chang, N. B.; Imen, S.; Mullen, L.; Chen, C. F.; and Valdez, M., "Multisensor Analysis Of Teleconnection Signals In Relation To Terrestrial Precipitation And Forest Greenness In North And Central America" (2014). Scopus Export 2010-2014. 9306.
https://stars.library.ucf.edu/scopus2010/9306