Font Size: a A A

Response Of Chlorophyll A Concentrations To Multi-scale Environmental Variations In The Taiwan Strait

Posted on:2007-03-11Degree:DoctorType:Dissertation
Country:ChinaCandidate:C Y ZhangFull Text:PDF
GTID:1101360212977671Subject:Environmental Science
Abstract/Summary:PDF Full Text Request
Regional response to global climate change has received increasing attention, where temporal changes in marine ecological environments may differ from place to place. The Taiwan Strait (TWS) represents a typical coastal ocean under the influence of seasonal monsoon, therefore was chosen as the study area to show the spatial-temporal variability of the surface chlorophyll a concentrations (Chl) and their relationship with environmental forcing and ENSO index. Specifically, based on multi-sensor satellite data and in situ measurements, we have examined the variability of Chl and its response to environmental forcing at short-term, annual and inter-annual scales in the TWS.First, in order to establish a long-term, synoptic and accurate dataset, chlorophyll a concentration (Chl) data products from the SeaWiFS (Sea-viewing Wide Field-of-view Sensor) and MODIS (Moderate-resolution Imaging Spectraradiometer) satellite sensors were validated using concurrent in situ data collected from three cruise surveys in winter and summer 2004. The results showed that the satellite Chl data product is generally accurate for most of the waters where Chl ranges between 0.1 and 10 mg m-3, with overall RMS (root mean square) error in log scale smaller than 0.35 and absolute percentage RMS error between 60% and 170% for the open ocean and most of the shallow (<30m), coastal regions, respectively. There was no large systematic error or significant bias in either satellite data set, and SeaWiFS and MODIS showed similar spatial and temporal patterns as well as nearly identical Chl (0.1 < Chl < 4 mg m-3). Therefore, satellite Chl was believed to represent the true biological state of the surface ocean.Then, analysis of the QuikScat wind and AVHRR Sea Surface Temperature (SST) showed that wind played a key role in the short-term SST variations in winter (2-8 January 2002), when distribution of the Zhe-Min Coastal Water, defined by SST<=17°C, was highly correlated (R2 ~ 0.90) with the strength of the northeast...
Keywords/Search Tags:Sea surface temperature, chlorophyll a, upwelling, monsoon, El Nin|~o, Inter-annual variability, remote sensing, ocean color, Taiwan Strait
PDF Full Text Request
Related items