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

Autor: Laurent Feral, Bouchra Benammar, L. Castanet, Xavier Boulanger, Valentin Le Mire
Přispěvatelé: ONERA / DEMR, Université de Toulouse [Toulouse], ONERA-PRES Université de Toulouse, Centre National d'Études Spatiales [Toulouse] (CNES), Groupe de Recherche en Electromagnétisme (LAPLACE-GRE), LAboratoire PLasma et Conversion d'Energie (LAPLACE), Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: 2020 14th European Conference on Antennas and Propagation (EuCAP)
EUCAP 2020
EUCAP 2020, Mar 2020, COPENHAGUE, Denmark. ⟨10.23919/EuCAP48036.2020.9135414⟩
Popis: International audience; 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.
Databáze: OpenAIRE