The data are results from radiative transfer simulations from 390 to 1020 nm in 1nm resolution. They can be convoluted to any ocean colour instrumental spectral response function and therefore represent satellite based aircraft- or groundbased measurements of the remote sensing reflectance. The data is simulated with the radiative transfer code MOMO (Matrix Operator Model), which simulates the full radiative transfer in atmosphere and ocean. The code is hosted at the institute of space sciences at Freie Universität Berlin and is not pubicly available. In addition to molecular Rayleigh scattering one maritime aerosol scatterer is considered. The data is available for 9 solar, 9 viewing zenith and 25 azimuth angles. The remote sensing reflectance is simulated in dependency of IOPs representing pure water with different salinities and 5 water constituents (Chlorophyll-a-pigment, Detritus, Yellow substance, a ’big’ and a ’small’ scatterer) in a global range of concentrations. The IOPs are varied independently. The grid points for each IOP where choosen in order to reproduce the full relation between this particular IOP and the resulting remote sensing reflectance.
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
Model: MOMO45
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
Completeness report
For the present database the Rrs is simulated in dependency of inherent optical properties (IOPs) representing pure water with different salinities an...
Description
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.
FAIR
F-UJI result: total 62 %
Description
Summary: Findable: 6 of 7 level; Accessible: 2 of 3 level; Interoperable: 3 of 4 level; Reusable: 4 of 10 level
SQA - Scientific Quality Assurance 'approved by author'
Result Date
2017-07-25
Technical Quality Assurance (TQA)
TQA - Technical Quality Assurance 'approved by WDCC'
Description
1. Number of data sets is correct and > 0: passed; 2. Size of every data set is > 0: passed; 3. The data sets and corresponding metadata are accessible: passed; 4. The data sizes are controlled and correct: passed; 5. The temporal coverage description (metadata) is consistent to the data: passed; 6. The format is correct: passed; 7. Variable description and data are consistent: passed
Method
WDCC-TQA checklist
Method Description
Checks performed by WDCC. The list of TQA metrics are documented in the 'WDCC User Guide for Data Publication' Chapter 8.1.1
[1] DOIFell, Frank; Fischer, Jürgen. (2001). Numerical simulation of the light field in the atmosphere-ocean system using the matrix-operator method. doi:10.1016/S0022-4073(00)00089-3
[2] DOIHollstein, André; Fischer, Jürgen. (2012). Radiative transfer solutions for coupled atmosphere ocean systems using the matrix operator technique. doi:10.1016/j.jqsrt.2012.01.010
[3] DOIKritten, 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. doi:10.5194/essd-2018-5