Database with remote-sensing-reflectances from Radiative Transfer Modelling

Link:
Autor/in:
Beteiligte Person:
  • Kritten, Lena
Verlag/Körperschaft:
World Data Center for Climate (WDCC) at DKRZ
Erscheinungsjahr:
2017
Medientyp:
Datensatz
Schlagworte:
  • Climate
  • MOMO
  • SIOCS-II
  • remote sensing reflectance
Beschreibung:
  • Project: Sensor independent Ocean Colour Service - The aim of the project SIOCS was the development of a processor, which is based on the inversion of water leaving reflectances. The processor should be sensor independent and applicable on a global scale. The project was funded by DLR/BMWI. 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.
relatedIdentifier:
DOI 10.1016/S0022-4073(00)00089-3 DOI 10.1016/j.jqsrt.2012.01.010
Lizenz:
  • Open access data at least for academic use.
Quellsystem:
Forschungsdaten DKRZ

Interne Metadaten
Quelldatensatz
oai:wdcc.dkrz.de:Datacite4_3520374_20171107