Cross wavelet analysis for retrieving climate teleconnection signals between sea surface temperature and forest greenness

Lee Mullon; Ni-Bin Chang; Jason Weiss

doi:10.1117/12.927631

24 October 2012 Cross wavelet analysis for retrieving climate teleconnection signals between sea surface temperature and forest greenness

Lee Mullon, Ni-Bin Chang, Jason Weiss

Author Affiliations +

Proceedings Volume 8513, Remote Sensing and Modeling of Ecosystems for Sustainability IX; 85130A (2012) https://doi.org/10.1117/12.927631
Event: SPIE Optical Engineering + Applications, 2012, San Diego, California, United States

Abstract

The growth of forest is critically vulnerable to the change in rainfall and radiation than in air temperature. The amount of rainfall and cloudiness in the northeast region of the United States is assumed to be strongly affected by the Atlantic sea surface temperature (SST). The observational investigation of the relation between the greenness of three undisturbed forested areas in the Atlantic region and Atlantic SST is fundamental to understand the response of terrestrial ecosystems to climate change. Such teleconnection signals may also entail the change of natural variability associated with several hydrological parameters such as rainfall and runoff. We conducted short-term environmental change quantification using MODIS satellite imageries supplemented by NEXRAD data. Wavelet analysis was employed to derive climate signals and embedded patterns over the timescale to illuminate the propagation effects of climate teleconnection.

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Lee Mullon, Ni-Bin Chang, and Jason Weiss "Cross wavelet analysis for retrieving climate teleconnection signals between sea surface temperature and forest greenness", Proc. SPIE 8513, Remote Sensing and Modeling of Ecosystems for Sustainability IX, 85130A (24 October 2012); https://doi.org/10.1117/12.927631

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KEYWORDS

Wavelets

Climatology

Vegetation

Statistical analysis

Continuous wavelet transforms

Remote sensing

Temperature metrology

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