Predicting the Spatiotemporal Chlorophyll-<tex>$a$</tex>Distribution in the Sea of Japan Based on SeaWiFS Ocean Color Satellite Data

Abstract

We developed a new statistical spatiotemporal model for chlorophyll-(chl-) distribution over the Sea of Japan, derived from the satellite-based Sea-viewing Wide Field-of-view Sensor (SeaWiFS). Because preliminary analysis showed that the SeaWiFS data exhibit anisotropy in space and autocorrelation in time, we propose a new spatiotemporal model for chl-distribution and its predictor. Numerical prediction experiments applying the SeaWiFS data showed that the predictor could forecast chldistributions in summer and early fall well, although further changes in the model structure will be necessary to predict aspects of the spring and late fall blooms.Index Terms-Chlorophyll-(Chl-), data assimilation, forecasting, Sea-viewing Wide Field-of-view Sensor (SeaWiFS), spatiotemporal statistical model.

Chlorophyll increases off the coasts of Japan after the 2011 tsunami using NASA/MODIS data

“…Chlorophyll concentrations are derived from ocean color, and thus can be readily estimated using remote sensing sensors (e.g., Neville and Gower, 1977;Sathyendranath et al, 1989;Kiyofuji et al, 2006;Tan et al, 2007;Radiarta and Saitoh, 2008). Chlorophyll products are generated by analyzing spectral measurements in the blue and green parts of the spectrum, roughly corresponding to the phytoplankton absorption peak and minimum, respectively.…”

“…Since the 1980s, numerous sensors, such as NASA SeaWiFS, MODIS, and ESA MERIS, have been built and launched to study the variation of chlorophyll concentrations (O'Reilly et al, 1998;Bezy et al, 2000;Dall'Olmo et al, 2005;Kiyofuji et al, 2006). Algorithms have been developed to effectively quantify the amount of chlorophyll, and have been validated with in situ observations and other remotely sensed data (Antoine et al, 2008).…”

Chlorophyll increases off the coasts of Japan after the 2011 Tsunami using NASA/MODIS data

“…Since the 1980s, numerous sensors, such as NASA SeaW-iFS, MODIS, and ESA MERIS, have been built and launched to study the variation of chlorophyll concentrations (O'Reilly et al, 1998;Bezy et al, 2000;Dall'Olmo et al, 2005;Kiyofuji et al, 2006). Algorithms have been developed to effectively quantify the amount of chlorophyll, and have been validated with in situ observations and other remotely sensed data (Antoine et al, 2008).…”

Seasonal and interannual variability of SeaWiFS-derived chlorophyll-a concentrations in waters off the southwest coast of India, 1998-2003

“…Over the last four decades, a number of field programs have explored phytoplankton distributions and rates of primary production in waters overlying the continental margins off Trivendrum, Cochin, Calicut, and Mangalore coasts [1][2][3][4][5][6][7][8][9][10][11][12]. The Sea-viewing Wide Field-ofview Sensor (SeaWiFS), launched in late 1997, provides a way to explore seasonal and interannual variability in the distribution of surface chlorophyll in greater spatial and temporal detail over the study region.…”