DOIexperiment

Metadata for 'Database with remote-sensing-reflectances from Radiative Transfer Modelling'
doi:10.1594/WDCC/LUT_for_WDC_I

Name
Database with remote-sensing-reflectances from Radiative Transfer Modelling
Acronym
LUT_for_WDC_I
Project(s)
SIOCS-II (Sensor independent Ocean Colour Service)
Summary
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.
Keyword(s)
MOMO, remote sensing reflectance
Size
15.7 GiB (16909433822 Bytes)
Format(s)
'netCDF, records separated', 'pdf'
Progress
completely archived
Creation Date
2017-06-01
 
 
 

Citation
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
Accuracy report
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
QA - Scientific Quality Assurance 'approved by author' 25/07/2017; TQA - Technical Quality Assurance 'approved by WDCC' 19/07/2017
Completeness report
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.
Specification
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 ]
Contact type Person Institute
contact_DOI_author Dr. Lena Kritten ACRI-ST
investigator Dr. Lena Kritten ACRI-ST
investigator Dr. Rene Preusker Freie Universität Berlin
investigator Prof. Dr. Jürgen Fischer Freie Universität Berlin
metadata Dr. Lena Kritten ACRI-ST
DOI_author Dr. Lena Kritten ACRI-ST
DOI_author Dr. Rene Preusker Freie Universität Berlin
DOI_author Prof. Dr. Jürgen Fischer Freie Universität Berlin
Reference type Title Published
IsDocumentedBy Numerical simulation of the light field in the atmosphere-ocean system using the matrix-operator method DOI 2001-08-01
IsDocumentedBy Radiative Transfer Solutions for Coupled Atmosphere Ocean Systems Using the Matrix Operator Technique DOI 2012-08-01
IsDocumentedBy Remote sensing reflectance from radiative transfer simulations on a global scale of IOP's, Earth System Science Data 2017-08-01
Citation-DOI Database with remote-sensing-reflectances from Radiative Transfer Modelling DOI 2017-08-03
primURL_DOI/URN Database with remote-sensing-reflectances from Radiative Transfer Modelling 2017-08-03