2013
DOI: 10.1002/sat.1059
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Inter‐annual variability, risk and confidence intervals associated with propagation statistics. Part II: parameterization and applications

Abstract: This set of two companion papers aims at providing a model for the inter-annual variability of earth-space propagation statistics and for the inherent risk and CIs. In part I, it was proposed to model the yearly variance σ² of empirical complementary CDFs so that σ 2 p ð ÞC the inter-annual climatic variance and p the long-term probability. Particularly, an analytical formulation of σ 2 E was derived and parameterized from synthetic rain attenuation data. Considering the statistical framework developed in part… Show more

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Cited by 11 publications
(21 citation statements)
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“…P. 841-4 [8].Thus, the variability of propagation phenomena is not well-addressed in propagation models. Regulatory documents, such as [9,10], partially deal with this subject, which is of growing interest, as shown for example in [11]. Studies on the variability of the propagation measurements from experimental results are very scarce, being [12][13][14] some of the few examples that can be found in the literature.…”
mentioning
confidence: 99%
“…P. 841-4 [8].Thus, the variability of propagation phenomena is not well-addressed in propagation models. Regulatory documents, such as [9,10], partially deal with this subject, which is of growing interest, as shown for example in [11]. Studies on the variability of the propagation measurements from experimental results are very scarce, being [12][13][14] some of the few examples that can be found in the literature.…”
mentioning
confidence: 99%
“…The temporal resolution of ANS data is 5 minutes, which is deemed sufficient to catch the variability of gaseous (slow varying) attenuation making possible to use ANS data in clear air conditions and beacon measurements to identify the 0-dB reference level and to derive total atmospheric attenuation. In addition, the spatial and temporal resolution of the current ANS process could be sufficient to reproduce the dynamic of rain attenuation for percentages of time lower than 0.1% (see previous literature 49,50 ). It still remains to be investigated the applicability of ANS data for the derivation of cloud and rain attenuation, considering that the max value of attenuation of ANS data is only limited by spatial and temporal resolution whilst VSAT class propagation terminals have a limited dynamic range.…”
Section: Simulated Time Series Of the Attenuationsmentioning
confidence: 99%
“…However, because of the large yearly variability of rain phenomena 31,32 and in particular in Madrid as shown in Garcia-Rubia et al, 33 3 years is too short a period to obtain a reliable estimation of the average year rain regime. In fact, the period has been markedly dry, in comparison with longer-term statistics, in particular with regards to high rain-rate convective events, which have the most relevant impact in propagation.…”
Section: First-order Statisticsmentioning
confidence: 99%