Chlorophyll-avariability off Patagonia based on SeaWiFS data
نویسندگان
چکیده
منابع مشابه
Sampling biases in MODIS and SeaWiFS ocean chlorophyll data
Although modern ocean color sensors, such as MODIS and SeaWiFS, are often considered global missions, in reality it takes many days, even months, to sample the ocean surface enough to provide complete global coverage. The irregular temporal sampling of ocean color sensors can produce biases in monthly and annual mean chlorophyll estimates. We quantified the biases due to sampling using data ass...
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Chlorophyll-a (Chl) concentration in the Taiwan Strait (TWS) and in the South China Sea (SCS) was estimated using time series of satellite data collected with the MODIS/Aqua and SeaWiFS instruments, and validated with in situ measurements from three cruises conducted in winter and summer 2004. For Chl between 0.1 and 10mg m , both SeaWiFS and MODIS agreed well with in situ data. Errors for turb...
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The SeaWiFS ocean colour sensor on board the SeaStar (Orbview 2) satellite is able to derive the chlorophyll concentration in the surface sea water. The chlorophyll algorithm employed is based on the ratio of radiance or reflectance measured in the blue and green spectral bands. Regression between the band ratio and the in-situ measurements of chlorophyll values gives the coefficients for the r...
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The SeaWiFS ocean colour sensor on board the SeaStar (Orbview 2) satellite is able to derive the chlorophyll concentration in the surface sea water. The chlorophyll algorithm employed is based on the ratio of radiance or reflectance measured in the blue and green spectral bands. Regression between the band ratio and the in-situ measurements of chlorophyll values gives the coefficients for the r...
متن کاملRegional objective analysis for merging high resolution MERIS, MODIS/Aqua and SeaWiFS Chlorophyll-a data from 1998 to 2008 on
In this paper we define the method used to merge high resolution multi-sensor chlorophyll-a data on the Ireland-Biscay-Iberia Regional Ocean Observing System (IBIROOS) area from 1998 to present at a resolution of 1.1 km. The method is based on geostatistics and is known as kriging. The merged variable is the daily anomaly of chlorophyll-a, the anomaly being defined as the difference between the...
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ژورنال
عنوان ژورنال: Journal of Geophysical Research
سال: 2006
ISSN: 0148-0227
DOI: 10.1029/2005jc003244