Title :

Iprt polarized radiative transfer model intercomparison project - three-dimensional test cases (phase b)

Author(s) :

Emde, Claudia [Auteur]
Meteorologisches Institut München [MIM]
Barlakas, Vasileios [Auteur]
Leibniz-Institut für Troposphärenforschung [TROPOS]
Cornet, Celine [Auteur]
Laboratoire d'Optique Atmosphérique (LOA) - UMR 8518
Evans, Frank [Auteur]
University of Colorado [Boulder]
Wang, Zhen [Auteur]
Ningxia University
Couillard-Labonnotte, Laurent [Auteur]
Laboratoire d'Optique Atmosphérique (LOA) - UMR 8518
Macke, Andreas [Auteur]
Leibniz Institute for Tropospheric Research [TROPOS]
Mayer, Bernhard [Auteur]
Ludwig Maximilian University [Munich] = Ludwig Maximilians Universität München [LMU]
Meteorologisches Institut München [MIM]
Wendisch, Manfred [Auteur]
Leipzig University / Universität Leipzig
Leipziger Institut für Meteorologie [LIM]

Journal title :

Journal of Quantitative Spectroscopy and Radiative Transfer

Abbreviated title :

J. Quant. Spectrosc. Radiat. Transf.

Volume number :

209

Publication date :

2018-04-01

ISSN :

0022-4073

English keyword(s) :

3D radiative transfer
Polarization
Model intercomparison
Benchmark results

HAL domain(s) :

Physique [physics]

English abstract : [en]

Initially unpolarized solar radiation becomes polarized by scattering in the Earth’s atmosphere. In particular molecular scattering (Rayleigh scattering) polarizes electromagnetic radiation, but also scattering of radiation ...
Show more >Initially unpolarized solar radiation becomes polarized by scattering in the Earth’s atmosphere. In particular molecular scattering (Rayleigh scattering) polarizes electromagnetic radiation, but also scattering of radiation at aerosols, cloud droplets (Mie scattering) and ice crystals polarizes. Each atmospheric constituent produces a characteristic polarization signal, thus spectro-polarimetric measurements are frequently employed for remote sensing of aerosol and cloud properties. Retrieval algorithms require efficient radiative transfer models. Usually, these apply the plane-parallel approximation (PPA), assuming that the atmosphere consists of horizontally homogeneous layers. This allows to solve the vector radiative transfer equation (VRTE) efficiently. For remote sensing applications, the radiance is considered constant over the instantaneous field-of-view of the instrument and each sensor element is treated independently in plane-parallel approximation, neglecting horizontal radiation transport between adjacent pixels (Independent Pixel Approximation, IPA). In order to estimate the errors due to the IPA approximation, three-dimensional (3D) vector radiative transfer models are required. So far, only a few such models exist. Therefore, the International Polarized Radiative Transfer (IPRT) working group of the International Radiation Commission (IRC) has initiated a model intercomparison project in order to provide benchmark results for polarized radiative transfer. The group has already performed an intercomparison for one-dimensional (1D) multi-layer test cases [phase A, 1]. This paper presents the continuation of the intercomparison project (phase B) for 2D and 3D test cases: a step cloud, a cubic cloud, and a more realistic scenario including a 3D cloud field generated by a Large Eddy Simulation (LES) model and typical background aerosols. The commonly established benchmark results for 3D polarized radiative transfer are available at the IPRT website (http://www.meteo.physik.uni-muenchen.de/~iprt).Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Administrative institution(s) :

CNRS
Université de Lille

Collections :

• Laboratoire d'Optique Atmosphérique (LOA) - UMR 8518

Submission date :

2024-01-30T11:45:58Z
2024-02-26T15:13:47Z