TROPOMI-Retrieved Underwater Light Attenuation in Three Spectral Regions in the Ultraviolet and Blue

Ultraviolet (UV) radiation plays an important role in the ocean for the biogeochemical cycling through photooxidation of colored dissolved organic matter and metals. It also influences the release of trace gases into the atmosphere. Understanding interaction and climate feedback mechanisms of these...

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Veröffentlicht in:Frontiers in Marine Science 2022-03, Vol.9
Hauptverfasser: Oelker, Julia, Losa, Svetlana N., Richter, Andreas, Bracher, Astrid
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Sprache:eng
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Zusammenfassung:Ultraviolet (UV) radiation plays an important role in the ocean for the biogeochemical cycling through photooxidation of colored dissolved organic matter and metals. It also influences the release of trace gases into the atmosphere. Understanding interaction and climate feedback mechanisms of these processes requires global long-term monitoring of UV radiation in the ocean. Ocean color sensors provide the diffuse attenuation coefficient for downwelling solar irradiance ( K d ) as an estimate for the mean light penetration depth in the surface ocean. However, K d products for the UV spectral range are currently only indirectly inferred from measurements in the visible spectral region. We exploit the UV and visible wavelengths of the TROPOMI sensor onboard Sentinel-5P to directly infer diffuse attenuation coefficients in the UV and blue spectral range. Our approach is based on Differential Optical Absorption Spectroscopy in combination with radiative transfer modeling which has been used in earlier studies to successfully derive K d in the blue from the vibrational Raman scattering (VRS) signal. VRS was detected in the backscattered radiances of TROPOMI-like sensors at a spectral resolution around 0.5 nm. We adapt this method for the TROPOMI sensor and more spectral regions to obtain two novel K d products in the UV range (312.5–338.5 nm and 356.5–390 nm), additionally to the blue K d (390–423 nm). One month of TROPOMI data show high sensitivity to retrieve VRS (fit errors
ISSN:2296-7745
2296-7745
DOI:10.3389/fmars.2022.787992