Title of article :
Relationship between the attenuation of downwelling irradiance at 490 nm with the attenuation of PAR (400 nm–700 nm) in the Baltic Sea
Author/Authors :
Pierson، نويسنده , , Donald C. and Kratzer، نويسنده , , Susanne and Strِmbeck، نويسنده , , Niklas and Hهkansson، نويسنده , , Bertil، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2008
Abstract :
The vertical attenuation coefficient of diffuse downwelling irradiance at 490 nm (Kd 490) is a parameter that we routinely derive from SeaWiFS images of the Baltic Sea. Here, through model simulations, we examine the relationship between Kd(490), and the vertical attenuation coefficient of PAR (Kd PAR), as this later coefficient determines the light available for aquatic photosynthesis. A simple semi-analytical model is used to predict Kd(490) and Kd(PAR), as a function of the concentrations of chlorophyll, colored dissolved organic material (CDOM), suspended inorganic, and suspended organic particulate material. A series of model simulations based on variations in these optically significant constituents over a range realistic for the Baltic Sea, are used to define the relationship between the two attenuation coefficients. K d ( PAR ) = 0.6677 K d ( 490 ) 0.6763 .
elationship was verified, using data collected independently from the data set used to derive model coefficients, and appears robust when applied to the Baltic Sea. Comparison to other studies and model sensitivity analyses suggest that the relationship will be dependent on relatively large regional variations in CDOM absorption. A relationship between Kd(490) and Secchi disk depth was also developed and verified. This relationship while useful was more uncertain. The uncertainty was related to a greater influence of scattering on Secchi disk depth estimates and the corresponding parameterization of scattering in our model.
Keywords :
Baltic Sea , Semi-analytical model , Kd(490) , Diffuse attenuation coefficient , Kd(PAR)
Journal title :
Remote Sensing of Environment
Journal title :
Remote Sensing of Environment