Validation of MATISSE background images and cloud simulations: comparing results with MODIS satellite images

Schweitzer, Caroline; Malherbe, Claire; Stein, Karin

doi:10.1117/12.2028344

Cited by 3 publications

(2 citation statements)

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“…CERAMIC package has been validated in 1D for the average contributors, the average total radiance and the transmittance by MATISSE code. It is a referency code in 1D, which has been validated code to code with MODTRAN4, and by comparison with MODIS images [11] [16]. The 3D fluctuations model for the multiple scattering has been compared to SHDOM outputs, 3D referency code which can accuracy computes 3D radiances.…”

Section: Discussionmentioning

confidence: 99%

“…The French Aerospace lab ONERA has been collaborating with the Fraunhofer IOSB in the development of a radiative transfer model for few years. Next to maritime environment [20], MATISSE has already been validated for space-based observations [11] [21] as well as specific homogenous cloud models [16] [22]. As mentioned before, a need has been expressed for the use of heterogeneous clouds in the model.…”

Section: Introductionmentioning

confidence: 99%

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Development of an atmospheric infrared radiation model with high clouds for target detection

et al. 2016

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In the field of target detection, the simulation of the camera FOV (field of view) background is a significant issue. The presence of heterogeneous clouds might have a strong impact on a target detection algorithm. In order to address this issue, we present here the construction of the CERAMIC package (Cloudy Environment for RAdiance and MIcrophysics Computation) that combines cloud microphysical computation and 3D radiance computation to produce a 3D atmospheric infrared radiance in attendance of clouds. The input of CERAMIC starts with an observer with a spatial position and a defined FOV (by the mean of a zenithal angle and an azimuthal angle). We introduce a 3D cloud generator provided by the French LaMP for statistical and simplified physics. The cloud generator is implemented with atmospheric profiles including heterogeneity factor for 3D fluctuations. CERAMIC also includes a cloud database from the French CNRM for a physical approach. We present here some statistics developed about the spatial and time evolution of the clouds. Molecular optical properties are provided by the model MATISSE (Modélisation Avancée de la Terre pour l'Imagerie et la Simulation des Scènes et de leur Environnement). The 3D radiance is computed with the model LUCI (for LUminance de CIrrus). It takes into account 3D microphysics with a resolution of 5 cm-1 over a SWIR bandwidth. In order to have a fast computation time, most of the radiance contributors are calculated with analytical expressions. The multiple scattering phenomena are more difficult to model. Here a discrete ordinate method with correlated-K precision to compute the average radiance is used. We add a 3D fluctuations model (based on a behavioral model) taking into account microphysics variations. In fine, the following parameters are calculated: transmission, thermal radiance, single scattering radiance, radiance observed through the cloud and multiple scattering radiance. Spatial images are produced, with a dimension of 10 km x 10 km and a resolution of 0.1 km with each contribution of the radiance separated. We present here the first results with examples of a typical scenarii. A 1D comparison in results is made with the use of the MATISSE model by separating each radiance calculated, in order to validate outputs. The code performance in 3D is shown by comparing LUCI to SHDOM model, referency code which uses the Spherical Harmonic Discrete Ordinate Method for 3D Atmospheric Radiative Transfer model. The results obtained by the different codes present a strong agreement and the sources of small differences are considered. An important gain in time is observed for LUCI versus SHDOM. We finally conclude on various scenarios for case analysis.

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Section: Discussionmentioning

confidence: 99%