Tests of Rain Attenuation Prediction Models for Satellite links through Long Term Data

0562739 - ÚFA 2023 RIV US eng C - Konferenční příspěvek (zahraniční konf.)
Fišer, O. - Zikesova, A. - Kovalchuk, Maria
Tests of Rain Attenuation Prediction Models for Satellite links through Long Term Data.
2022 32ND INTERNATIONAL CONFERENCE RADIOELEKTRONIKA (RADIOELEKTRONIKA). USA: IEEE, 2022, (2022), s. 237-240. ISBN 978-1-7281-8686-3.
[2022 International Conference Radioelektronika (RADIOELEKTRONIKA) /32nd/. Košice (SK), 21.04.2022-22.04.2022]
Institucionální podpora: RVO:68378289
Klíčová slova: rain attenuation * prediction models * model testing * model sensitivity
Obor OECD: Meteorology and atmospheric sciences
https://ieeexplore.ieee.org/document/9764907

In this contribution, we solve two problems. Both relate to models predicting rain attenuation on satellite links. The first problem is the sensitivity test of models to changes in rainfall heights. We show how much the rain attenuation changes in dependence on the percentage change of the height of the rain volume (area) in cases of various rain attenuation models. The second problem we are dealing with is the testing of chosen models using 3 years attenuation and rain rate measurements. The comparison of models is performed through relative difference between measured and estimated (by model) attenuation.
Trvalý link: https://hdl.handle.net/11104/0335081