Prediction of attenuation on satellite-earth links in the European region

Watson, P.A.; Leitao, M.J.; Sathiaseelan, V.; Güneş, Mehmet Şamil; Baptista, J. P. V. Poiares; Potter, Ben A.; Sengupta, N.; Turney, O.; Brussaard, G.

doi:10.1049/ip-f-1.1987.0096

Cited by 11 publications

(5 citation statements)

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“…The global latitudinal variations in hFY, hFS and hFR are shown in Tables 1 and I1 and in Figure 3, where the values of hFS are also used from other data. 5 In a temperate region, hFS is significantly greater than hFY, whereas in the tropics the variation in height of the freezing level with season is small. For locations in Nigeria, hFS was found to be slightly less than hFY.…”

Section: Latitudinal Variationmentioning

confidence: 97%

Prediction of attenuation due to rain: Characteristics of the 0°C isotherm in temperate and tropical climates

Ajayi

Barbaliscia

1990

Int. J. Satell. Commun.

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A detailed investigation of the vertical structure of rain and of the characteristics of the 0°C isotherm height in both rainy and non‐rainy conditions has been carried out in connection with the prediction of rain attenuation on Earth‐satellite links. Radiosonde data have been analysed for eight and nine locations in the southern and northern hemispheres, respectively. The temporal, latitudinal variations and the relationship between the 0°C isotherm height and ground meteorological parameters such as rainfall, temperature and relative humidity, are reported. The equivalent rain height measured along the Earth‐satellite link is compared with the heights obtained from meteorological data.

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Section: Latitudinal Variationmentioning

confidence: 97%

Prediction of attenuation due to rain: Characteristics of the 0°C isotherm in temperate and tropical climates

Ajayi

Barbaliscia

1990

Int. J. Satell. Commun.

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“…11 and show a definite seasonal dependence, with autumn in particular tending to have higher fade slopes. This is largely due to the seasonal variation of weather, convective rainstorms occurring more frequently in southern England in summer and autumn [23]. It is also noteworthy that stronger winds are a feature of the autumn season in Southern England.…”

Section: E Seasonal Analysismentioning

confidence: 99%

Analysis of Rain Fade Slope for Ka and V-Band Satellite Links in Southern England

Chambers

Callaghan²,

Otung³

2006

IEEE Trans. Antennas Propagat.

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The fade slope of rain attenuation at Sparsholt, U.K. has been measured for a link with the ITALSAT F1 and F2 satellites at frequencies of 18.7, 39.6, and 49.5 GHz and compared with the corresponding ITU-R model. The model fits the data well visually with a tendency to be less accurate with increasing frequency due to the assumption of constant scaling of equiprobable attenuations being less accurate at higher frequencies. The probability distribution used in the model fails a chi-squared test for all confidence levels when compared with the data. Conditional statistics of fade slope on a diurnal and seasonal basis are also analyzed and reveal that the autumn season has higher fade slopes than any other, which can in part be attributed to the higher ratio of stratiform to convective rain in the autumn season. Fade slope was found to have slightly higher values during midday.

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“…Watson et al [21] also considered the conversion factors Ce and CR for rain gauge of different integration times. Both factors are given as: (7) (8) where Ce (R) is the ratio of the exceedances for a specified rain rate R, determined from rain gauges of integration times T and τ, while CR (t) gives the ratio of rain rates exceeded for a known percentage of time t exceedance.…”

Section: Watson Rain Rate Modelmentioning

confidence: 99%

“…This confirms the observations of [26] and [31] that it is impossible to achieve a single regression coefficient for rain rate conversion from other integration times to 1-minute for all locations. Also, it has been observed that climate is responsible for the effect of integration time on rain rate [21]. Moreover, environmental differences and accuracy of rain gauge sampling frequency are additional factors that are responsible for these disparities.…”

Section: -Min (Mm/h)mentioning

confidence: 99%

“…It has become necessary to predict 1-minute rain rate statistics by using conversion factors and the corresponding conversion coefficients, partly due to the dearth of 1-minute rain rate data needed for the estimation of rain-induced attenuation in this region of the world, and also due to the inherent errors in some rain rate models. Numerous efforts have been made in this direction, however significant discrepancies in the conversion factors obtained from different locations have also been noticed [19][20][21][22][23][24][25]. In the current work, conversion factors for Minna have been derived using the cumulative distribution of the available 30-minute, 5-minute, and 1-minute rain rate statistics.…”

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confidence: 99%

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Derivation of Regression Coefficients and Conversion Factors for 1-Minute Rain Rate Statistics in A Tropical Environment

Igwe¹

2023

JAITA

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An important characteristic of rainfall levels at a particular place is the statistical distribution of rainfall rate. In this paper, 1-minute, 5-minute and 30-minute integration time rainfall data were obtained from three different weather stations in Physics Department, Federal University of Technology, Minna, North Central Nigeria. The aim is to derive regression coefficients and conversion factors for predicting rainfall rate of 1-minute integration time from rainfall rates of other integration times. This was achieved by employing Segal, Flavin and Watson rain rate models. The results obtained revealed that there is a power law relationship between 1-minuterain rate (R1) and the equiprobable 5-minute rain rate (R5); and between 1-minute rain rate (R1) and the equiprobable 30-minute rain rate (R30). Also,it was observed that the values of regression coefficients a and b, and conversion factors Ce and CR derived in Minna were different from values derived at other locations in and outside Nigeria when comparisons were made. These discrepancies are attributed to the differences in climatic conditions between the regions among other factors. Therefore, these findings have further corroborated claims by earlier researchers that different regression coefficients and conversion factors are needed for different locations for 1-minute rain rate conversion.

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Prediction of attenuation on satellite-earth links in the European region

Cited by 11 publications

References 0 publications

Prediction of attenuation due to rain: Characteristics of the 0°C isotherm in temperate and tropical climates

Prediction of attenuation due to rain: Characteristics of the 0°C isotherm in temperate and tropical climates

Analysis of Rain Fade Slope for Ka and V-Band Satellite Links in Southern England

Derivation of Regression Coefficients and Conversion Factors for 1-Minute Rain Rate Statistics in A Tropical Environment

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