Kritten, Lena; Preusker, Rene; Fischer, Jürgen (2017). Database with remote-sensing-reflectances from Radiative Transfer Modelling. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.1594/WDCC/LUT_for_WDC_I
[Entry id: 3520374]
description see: Hollstein and Fischer (2012)
Forcing:see Kritten et al.
Boundary conditions:see Kritten et al.
Input data: see Kritten et al.
Resolusion: 390 to 1020 nm in 1nm resolution
QA - Scientific Quality Assurance 'approved by author' 25/07/2017; TQA - Technical Quality Assurance 'approved by WDCC' 19/07/2017
For the present database the Rrs is simulated in dependency of inherent optical properties (IOPs) representing pure water with different salinities and 5 water constituents (Chlorophyll-a-pigment, Detritus, CDOM, a ’big’ and a ’small’ scatterer) in a global range of concentrations. The grid points for each IOP where choosen in order to reproduce the entire functional relationship between this particular IOP and the corresponding Rrs . The IOPs are varied independently.
Technical Quality Assurance: The number of data sets is checked and not equal 0[ done ]
Technical Quality Assurance: The size of every data set is not equal 0[ done ]
Technical Quality Assurance: The data sets and corresponding metadata are all accessible via internet[ done ]
Technical Quality Assurance: The data size is checked and correct[ done ]
Technical Quality Assurance: The format is verified and correct[ done ]
Technical Quality Assurance: The variable description and data are consistent[ done ]
 Kritten, L.; Preusker, R.; Fischer, J.; Brockmann, C.; Fincke, T. (2017). Remote sensing reflectance from radiative transfer simulations on a global scale of IOP's, Earth System Science Data. in preparation