What methodologies have researchers adopted to improve or modify ITU-R particularly in tropical region?
Improving ITU-R prediction models for tropical regions often involves:
Always check the latest recommendations (P.618-14, P.530-18) and validate with local beacon or link measurements for best accuracy.
Zein Al-Abideen Douba Thanks for the response. Does this improvement also apply to other ITU-R propagation prediction models besides rain?
Thank you for your question. The improvement approaches I mentioned for the ITU-R rain models—such as using high-resolution local data, calibrating key parameters, and developing localized models—can be applied in principle to other ITU-R propagation models (e.g., for fog, snow, dust, or scintillation).
However, each phenomenon has specific characteristics and parameters. For example, fog depends on humidity and water droplet density, snow on accumulation and particle size, and scintillation on atmospheric turbulence. Therefore, while the general methodology of local data integration, parameter calibration, and region-specific modeling is applicable, the exact parameters, empirical formulas, and path reduction factors must be adapted for each type of propagation phenomenon.
In short, the strategy is transferable, but the details must be tailored to the specific model and environmental conditions of the tropical region. HAMMED OYEBAMIJI BUSARI
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