研究目的
To evaluate Numerical Weather Prediction models as an alternative source for estimating clear-sky attenuation in satellite communication systems operating in Ka and QIV bands, addressing the limitation of microwave radiometers being costly and not always available.
研究成果
Numerical Weather Prediction models can accurately estimate gaseous attenuation in clear-sky conditions with a target accuracy of 0.1-0.2 dB, but they underestimate cloud attenuation. The study validates the use of NWP data in the absence of clouds but highlights the need for further investigation into cloud parametrization and detection methods to improve accuracy.
研究不足
The NWP model, with its present parametrization, underestimates cloud attenuation, indicating a need for improved cloud parametrization or alternative approaches to accurately estimate total attenuation including cloud effects.
1：Experimental Design and Method Selection:
The study uses the Weather Research and Forecasting (WRF) model to produce clear-sky attenuation time series, comparing them with measurements from microwave radiometers (MWR) and beacon signals from the Alphasat satellite.
2：Sample Selection and Data Sources:
Three months of beacon and radiometric data from the Spino d'Adda receiving station are used as a benchmark.
3：List of Experimental Equipment and Materials:
The study utilizes the WRF model, microwave radiometers, and beacon signal measurements from the Alphasat satellite.
4：Experimental Procedures and Operational Workflow:
The WRF model is run over nested domains around Spino d'Adda to estimate clear-sky attenuation, which is then compared with MWR data and beacon signal measurements.
5：Data Analysis Methods:
The comparison includes analyzing Complementary Cumulative Distribution Functions (CCDF) of total attenuation and calculating root mean square errors (RMSE) and mean errors (ME) between different methods.
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