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Analysis of Water Clarity and Optical Properties Using SeaWiFS Data in Study Site (23-28°S, 130-140°W)

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gisela
6 diapositives · 202 Views · Sep 22, 2014

This study investigates the annual water clarity and optical properties in the specified study region using SeaWiFS data. Key parameters such as absorption coefficients (phytoplankton, gelbstoff), backscattering coefficients, and their relationships with sea surface temperature (SST) were analyzed. Monthly time series data from 1998 to 2007 reveal seasonal and interannual dynamics of phytoplankton and detritus concentrations, providing insight into aquatic ecosystem health. Remote sensing inversions were compared with independently determined values to validate findings.

Analysis of Water Clarity and Optical Properties Using SeaWiFS Data in Study Site (23-28°S, 130-140°W) - slide 1
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Analysis of Water Clarity and Optical Properties Using SeaWiFS Data in Study Site (23-28°S, 130-140°W)
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  1. Fig.1. Location of the study site (23-28 S, 130-140 W). The background image is the annual water clarity (measured by Euphotic depth, in meters, Lee et al 2007 algorithm) of 2008 (from OBPG).

  2. Stations: Rrs-derived a(420) [m-1] 1:1 (a) a(420) [m-1] Rrs-derived aph(420) [m-1] Rrs-derived adg(420) [m-1] 1:1 1:1 (b) (c) ag(420) [m-1] ap(420) [m-1] Fig.2. Comparison between remote-sensing inversions and values determined independently by other means, all at 420 nm. (a) total absorption; (b) particulate absorption; (c) gelbstoff absorption. Values for X-axis from Table 1 in Morel et al (2007).

  3. aph(443) [m-1] adg(443) [m-1] (a) (b) Month-Year Month-Year Fig.3. Monthly times series of primary optical properties derived from SeaWiFS observations (1/1998 – 12/2007). (a): phytoplankton absorption coefficient (443 nm); (b) detritus/gelbstoff absorption coefficient (443 nm); (c) “particle” backscattering coefficient (555 nm). Overlaid on (a) and (b) are empirical models (open sysmbol) to highlight the seasonal and interannual dynamics. bbp(555) [m-1] (c) Month-Year

  4. R2 = 0.423 R2 = 0.122 aph(443) [m-1] adg(443) [m-1] R2 = 0.042 R2 = 0.108 Month-Year Month-Year Fig.4. Internannual dynamics of the background and seasonal intensity of aph and adg.

  5. R2 = 0.106 R2 = 0.629 adg(443) [m-1] aph(443) [m-1] SST [oC] SST [oC] Fig.5. Relationship between SST and aph (left), and between SST and adg (right) .

  6. Chla [mg/m3] Chla [mg/m3] Month-Year Month-Year Fig.6. (a) Monthly time series of chlorophyll-a concentration derived from SeaWiFS. Blue symbol and line for Chla derived from the aph results, with the formula from Bricaud et al (2004): aph(443) = 0.0654 Chla0.728. (b) As Fig.3, background and intensity of Chla, with Chla from the empirical OC4 algorithm.