This preliminary study aims to test a back to end ‘numerical laboratory’ based on three main numerical tools namely an atmospheric model, Monte-Carlo codes, and retrieval algorithms. To be more specific, this numerical laboratory aims to simulate realistic observations of satellite missions such as the A-Train, EarthCARE (Earth Clouds, Aerosols and Radiation Explore) and 3MI (The Multi-Viewing, -Channel, -Polarization Imager) based on Large Eddy Simulation outputs in order to quantify the 3D effects of the atmosphere as well as the impact of the microphysical/optical hypotheses, and to develop and test new retrieval algorithms. Preliminary results presented herein show that this approach is promising as radar and lidar signals are well simulated at high spatial resolution and numerical retrievals compared well with the model outputs especially, as expected, within the stratiform region of the simulated convective cloud.
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18 January 2024
RADIATION PROCESSES IN THE ATMOSPHERE AND OCEAN
4–8 July 2022
Thessaloniki, Greece
Research Article|
January 18 2024
Monte-Carlo simulations of active remote sensing instruments within a highly resolved 3D cloudy atmosphere
Guillaume Penide;
Guillaume Penide
a)
1
Univ. Lille, CNRS, UMR 8518 - LOA - Laboratoire d’Optique Atmosphérique
, F-59000 Lille, France
a)Corresponding author: [email protected]
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Frédéric Szczap;
Frédéric Szczap
2
Université Clermont Auvergne, CNRS, UMR 6016 - LaMP - Laboratoire de Météorologie Physique
, F-63000 Clermont-Ferrand, France
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Julien Delanoë
Julien Delanoë
3
LATMOS/IPSL, UVSQ Université Paris-Saclay, Sorbonne Université, CNRS
, F-78280 Guyancourt, France
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Guillaume Penide
1,a)
Frédéric Szczap
2
Julien Delanoë
3
1
Univ. Lille, CNRS, UMR 8518 - LOA - Laboratoire d’Optique Atmosphérique
, F-59000 Lille, France
2
Université Clermont Auvergne, CNRS, UMR 6016 - LaMP - Laboratoire de Météorologie Physique
, F-63000 Clermont-Ferrand, France
3
LATMOS/IPSL, UVSQ Université Paris-Saclay, Sorbonne Université, CNRS
, F-78280 Guyancourt, France
a)Corresponding author: [email protected]
AIP Conf. Proc. 2988, 030004 (2024)
Citation
Guillaume Penide, Frédéric Szczap, Julien Delanoë; Monte-Carlo simulations of active remote sensing instruments within a highly resolved 3D cloudy atmosphere. AIP Conf. Proc. 18 January 2024; 2988 (1): 030004. https://doi.org/10.1063/5.0183458
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