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Application of synthetic storm data to evaluate simpler techniques for predicting rain attenuation statistics

Emploi d’une répartition spatiale synthétique de l’intensité de précipitation pour évaluer des techniques plus simples de prévision statistique de l’affaiblissement dû a la pluie

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Abstract

The concept of employing synthetic storm data to evaluate simpler attenuation prediction techniques based on cumulative distributions of point rain rate is introduced. As examples, several versions of the «path average rain rate technique» and a new method developed by Crane are tested using 10-year rain rate data bases from several Canadian locations. The results indicate that there is no universal relationship for the ratio of the path average to the point rain rate in terms of either rain rate or percentage of time. However, Crane’s new method appears to be an improvement over earlier versions of the path average rain rate technique.

Analyse

Le présent article concerne l’emploi d’une conversion des intensités de précipitation mesurées localement en répartition le long d’un trajet pour évaluer des techniques plus simples de prévision des affaiblissements, lesquelles se fondent sur la distribution cumulative de l’intensité des précipitations locales. Utilisant les intensités des précipitations enregistrées sur une période de dix ans à divers endroits au Canada, on a expérimenté, à titre d’exemples, quelques variantes de la technique de distribution de l’intensité moyenne des précipitations le long d’un trajet et une nouvelle méthode mise au point par Crane. Les résultats obtenus indiquent qu’il n’existe pas de relation universelle entre la valeur moyenne de l’intensité de précipitation le long d’un trajet et sa valeur en un point en fonction de l’intensité de précipitation ou du pourcentage de temps. Toutefois, la méthode mise au point par Crane semble supérieure aux précédentes.

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Formerly with Department of Electronics, Carleton University, Ottawa, Canada K1S 5B6.

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Kheirallah, H.N., Segal, B. & Olsen, R.L. Application of synthetic storm data to evaluate simpler techniques for predicting rain attenuation statistics. Ann. Télécommunic. 35, 456–462 (1980). https://doi.org/10.1007/BF03003528

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  • DOI: https://doi.org/10.1007/BF03003528

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