Title: Inter-annual variations in the SeaWiFS global chlorophyll-a concentration (1997-2007)
Authors: VANTREPOTTE VincentMELIN Frederic
Citation: DEEP-SEA RESEARCH PART I-OCEANOGRAPHIC RESEARCH PAPERS vol. 58 no. 4 p. 429-441
Publisher: PERGAMON-ELSEVIER SCIENCE LTD
Publication Year: 2011
JRC N°: JRC63447
ISSN: 0967-0637
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC63447
DOI: 10.1016/j.dsr.2011.02.003
Type: Articles in periodicals and books
Abstract: The SeaWiFS data set covering the period 1997-2007 is used to develop a framework for a comprehensive description of the inter-annual variations in chlorophyll-a concentration (Chla). For each grid cell, the monthly Chla series is decomposed into seasonal, irregular and trend-cycle terms with the Census X-11 technique that is an iterative band-pass filter algorithm. This approach allows variations in the annual cycle, while the trend-term isolates the multi-annual evolution in the mean level of the signal. The patterns with relatively large inter-annual variations are selected using the variance due to the trend-term with respect to the total variance, and are compared with maps of monotonic trends derived by a non-parametric Kendall analysis. Most of these patterns are identified in the subtropical domain (30S-30N), even though there are patterns with strong variations at mid-latitudes, particularly in the Northeast Atlantic and South of Australia. The time series found within each pattern of interest are found coherent. Conversely, the ensemble of spatially averaged time series of Chla trend-terms shows a diversity of evolutions, with rather monotonic changes for all or part of the period, abrupt shifts or low-frequency oscillations, sometimes coupled with a modification in the amplitude of the annual cycle. Some of these series are correlated with climate indices, and those in subtropical regions usually show a negative correlation with the equivalent trend-term calculated for sea surface temperature. The identified inter-annual signals should be further monitored with longer time series and can serve as test cases for biogeochemical models.
JRC Directorate:Sustainable Resources

Files in This Item:
There are no files associated with this item.


Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.