reflectances_read_me

Kritten, Lena; Preusker, Rene; Fischer, Jürgen

Additional Info
Summary
[ Derived from parent entry - See data hierarchy tab ]

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.
Project
SIOCS-II (Sensor independent Ocean Colour Service)
Use constraints
For scientific use only
Data Catalog
World Data Center for Climate
Access constraints
registered users
Size
85.79 KiB (87848 Byte)
Format
pdf
Status
completely archived
Creation Date
Future Review Date
2027-08-02
Download Permission
Yes
Cite as
[ Derived from parent entry - See data hierarchy tab ]
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

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Parent

Database with remote-sensing-reflectances from Radiative Transfer Modelling
Details
[Entry acronym: reflectances_read_me] [Entry id: 3535047]