2001
DOI: 10.1029/2000gl011803
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Atmospheric correction of ocean color imagery through thick layers of Saharan dust

Abstract: Abstract.Airborne plumes of desert dust from North Africa are observable all year on satellite images over the Tropical Atlantic. In addition to its radiative impact, it has been suggested that this mineral dust has a substantial influence on the marine productivity. This effect is however difficult to gauge because present atmospheric correction algorithms for ocean color sensors are not capable of handling absorbing mineral dust. We apply a new approach to atmospheric correction in which the atmosphere is re… Show more

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Cited by 77 publications
(51 citation statements)
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“…We believe that the lidar data on the dust aerosol vertical profiles presented at 355 and 532 nm are indicative for our area and will be a very important input for regional radiative transfer models (RTM) and atmospheric chemistry transport models (ACTM) over the Eastern Mediterranean region (Diaz et al, 2000;Lelieveld et al, 2002), as well as for atmospheric correction of ocean color imagery data (Moulin et al, 2001). Our lidar ratio observations could also contribute to a better calibration over the Eastern Mediterranean region of the forthcoming two-wavelength space lidar CALIPSO mission.…”
Section: Discussionmentioning
confidence: 99%
“…We believe that the lidar data on the dust aerosol vertical profiles presented at 355 and 532 nm are indicative for our area and will be a very important input for regional radiative transfer models (RTM) and atmospheric chemistry transport models (ACTM) over the Eastern Mediterranean region (Diaz et al, 2000;Lelieveld et al, 2002), as well as for atmospheric correction of ocean color imagery data (Moulin et al, 2001). Our lidar ratio observations could also contribute to a better calibration over the Eastern Mediterranean region of the forthcoming two-wavelength space lidar CALIPSO mission.…”
Section: Discussionmentioning
confidence: 99%
“…The OC3M and OC2 algorithms are empirical algorithms developed for global applications and have been shown to overestimate chl-a in coastal environments, in part due to increased concentrations of other optical constituents (e.g., Muller-Karger et al, 2005). Within optically complex coastal waters such as Santa Monica Bay, CDOM, sediments, bottom reflectance (Maritorena et al, 1994;Cannizzaro and Carder, 2006), land adjacency effects (Santer and Schmechtig, 2000), and urban and absorbing aerosols (Moulin et al, 2001;Claustre et al, 2002;Ransibrahmanakul and Stumpf, 2006) can all interfere with the accurate detection of chl-a. This challenge is potentially exacerbated during the unusual conditions created by the wastewater diversion.…”
Section: Utility Of Landsat 8 Tirs and Oli For Coastal Water Quality mentioning
confidence: 99%
“…We selected a relative humidity of 70% because the C70 model best matched the Angstrom exponents observed in the Dry Tortugas under dust-free conditions (see Table 1). In the simulations, the coastal aerosol is homogeneously mixed from 0 to 1 km, with t 550 = 0.05 and three dust models of varying absorption (BDW1, BDW2, and BDW3 from the work of Moulin et al, 2001b) homogeneously mixed between 1 and 4 km, with t 550 = 0.35. A background aerosol optical depth of 0.05 is consistent with our observations in dust-free conditions ( Figure 6) and values historically measured by AERONET in the Dry Tortugas in clear atmospheres (not shown).…”
Section: Effect Of Background Aerosolmentioning
confidence: 99%