Potentialities of the Numerical Weather Prediction model WRF to produce attenuation statistics in tropical regions

Valentin Le Mire (1) , Xavier Boulanger (2) , Laurent Castanet (1) , Bouchra Benammar (2) , Laurent Féral (3)

1 DEMR, ONERA, Université de Toulouse [Toulouse]
2 CNES - Centre National d'Études Spatiales [Toulouse]
3 LAPLACE-GRE - Groupe de Recherche en Electromagnétisme

This paper presents the use of a Numerical Weather Prediction model (the WRF US model from NCAR/NCEP) coupled with an electromagnetic module to create rain attenuation time series and statistical results in a tropical region. Simulated results are compared with experimental data collected within a CNES/ONERA sponsored propagation experiment near Kourou, in French Guiana. Both simulated and experimental Complementary Cumulative Distribution Functions of rain attenuation (CCDF) are presented in an annual and monthly basis. Finally, a brief granulometric study is detailed to better understand the impact of the rain drop size distribution (DSD) on the obtained results.

Mots clés: EQUATORIAL AND TROPICAL REGIONS; KA-BAND; WRF; NWP; DSD; PROPAGATION; SATELLITE COMMUNICATIONS; WEATHER PREDICTION MODEL

Mots clés: REGIONS TROPICALES ET EQUATORIALES; BANDE KA; WRF; PROPAGATION; COMMUNICATIONS PAR SATELLITES

Domaines: Sciences de l'ingénieur [physics]; Physique [physics]

Valentin Le Mire, Xavier Boulanger, Laurent Castanet, Bouchra Benammar, Laurent Féral. Potentialities of the Numerical Weather Prediction model WRF to produce attenuation statistics in tropical regions. EUCAP 2020, Mar 2020, COPENHAGUE, Denmark. ⟨10.23919/EuCAP48036.2020.9135414⟩. ⟨hal-02907072⟩