학술논문

Validating weather-forecast-driven propagation models at millimeter waves using multisource ground-based radiometric data
Document Type
Conference
Source
2019 13th European Conference on Antennas and Propagation (EuCAP) Antennas and Propagation (EuCAP), 2019 13th European Conference on. :1-4 Mar, 2019
Subject
Aerospace
Communication, Networking and Broadcast Technologies
Engineered Materials, Dielectrics and Plasmas
Fields, Waves and Electromagnetics
Photonics and Electrooptics
Signal Processing and Analysis
Atmospheric modeling
Microwave radiometry
Atmospheric measurements
Attenuation
Numerical models
Predictive models
Temperature measurement
Sun-tracking microwave radiometer
radiometry
radiopropagation models
millimeter waves
numerical weather prediction models
Language
Abstract
In this work, several sources are used to characterize, in both deterministic and statistical ways, the atmospheric propagation channel in terms of brightness temperature and path attenuation at high frequency bands (such as K- Ka-, V- and W-band). We have used two different models: a weather-forecast-driven 3-dimensional radiative transfer model (RTM) and a stochastic 1-dimensional model (SNEM) with synthetic clouds dataset provided as inputs. We have compared the outputs of such radiative transfer simulations with actual measurements of two co-located microwave radiometers: a humidity and temperature profiler and a Sun-tracking radiometer. The comparisons show satisfactory results and a good agreement among all sources, with some small inaccuracies to be investigated in future works. RTM successfully reproduced correlations between brightness temperature and path attenuation at several frequency bands, confirming the advantage of using weather forecast models combined with physically-based radiative transfer models. Also, the SNEM model showed to be able to reproduce the atmospheric channel but a proper fine tuning is needed to better represent the climatological conditions of the area of interest.