Relationship between sea regions with high thermal variability and wildfires from 1981 TO 2008

Author

Nunez-Casillas, L. ; Arbelo, M. ; Moreno-Ruiz, J.A. ; Hernandez-Leal, P.A. ; Barreto, A. ; Alonso-Benito, A.

Author_Institution

Dept. de Fis., Univ. de La Laguna, La Laguna, Spain

Volume

1

fYear

2009

fDate

12-17 July 2009

Abstract

Daily OISST version 2 data from 1981 to 2008 are used to detect high SST variability regions in order to explore their relationship with wildfires in some particular regions. A burned area (BA) dataset is obtained for Canada for the period 1982-2006, from LTDR dataset version 2 and LAC burned area record. A selection of high variability cells encountered within the Nino 3.4 region is analyzed with standardized seasonal BA, where a significant correlation at year lag in spring and three year lag in summer and autumn was found. Yet, results showed that SST and Oceanic Nino Index did not cause BA with a three-year lag time in Wiener-Granger sense, whereas annual SST did cause BA in spring, at the 0.95 confidence level. The proportion of fires occurred from 1982 to 2006 after an El Nino event increased at one- and two-year lag.

Keywords

Bayes methods; El Nino Southern Oscillation; fires; ocean temperature; oceanographic regions; vegetation; AD 1981 to 2008; Canada; El Nino event; LAC burned area record; LTDR dataset version 2; Oceanic Nino Index; Wiener-Granger sense; burned area dataset; daily OISST version 2 data; high SST variability region; wildfires; Error correction; Ice surface; Interpolation; Los Angeles Council; Ocean temperature; Radiometry; Satellite broadcasting; Sea surface; Smoothing methods; Spatial resolution; Burned Area; El Niño; SST; causality; lag correlation;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009

Conference_Location

Cape Town

Print_ISBN

978-1-4244-3394-0

Type

conf

DOI

10.1109/IGARSS.2009.5416897

Filename

5416897