Development of rain-attenuation and rain-rate maps for satellite system design in the Ku and Ka bands in Colombia

Emiliani, Luis; Agudelo, J.; Gutierrez, Eliana Battaggia; Restrepo, J.; Fradique-Mendez, C.

doi:10.1109/map.2004.1396736

Cited by 38 publications

(43 citation statements)

References 11 publications

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“…The table shows the newly enforced ITU-R P.837-5 has drastically improved the classification of rain climatic zone. This is supported by the research done in Singapore where the percentage difference reduces from 24% to 8% using ITU-R P.837-4 [17]. In this study, a difference as low as 2.44% from ITU-R P.837-5 and the newly assigned designation is observed.…”

Section: Comparative Studies Of Both Itu-r and Crane Rain Rate Zonessupporting

confidence: 68%

“…This dynamic variation of rainfall is not uncommon in South Africa's climatic zones as confirmed by other researchers in their localities. In the comparison carried out with the previous ITU-R recommendations [17], South America's tropical zone was confirmed to have a large area, the Crane's global model classified it as zone H, thus it has 209.7 mm/hr rain rate at 0.01% percentage of exceedence [3]; while the ITU-R recognised the zone as three different rain zones of 80 mm/hr, 100 mm/hr and 120 mm/hr. This means that the difference between the rain rates estimated by the two models is about 100%.…”

Section: Review Of Existing Rain Rate Modelsmentioning

confidence: 99%

“…It may be a time-consuming process to evaluate a large number of sites [17]. The use of ITU-R and Crane's designations may be of advantage over other models because many radio and satellite planning tools are designed around these two major types of designations.…”

Section: Rainfall Rate Re-zoning For South Africa and Surrounding Islmentioning

confidence: 99%

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Rainfall Rate Probability Density Evaluation and Mapping for the Estimation of Rain Attenuation in South Africa and Surrounding Islands

Owolawi¹

2011

PIER

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Abstract-The paper describes the modelling of the average rainfall rate distribution measured at different locations in South Africa. There are three major aspects this paper addresses: to develop a rainfall rate model based on the maximum likelihood method (ML); to develop contour maps based on rainfall rate at 0.01% percentage of exceedence; and re-classification of the ITU-R and Crane rain zones for the Southern Africa region. The work presented is based on fiveminute rainfall data converted to one-minute equivalent using a newly proposed hybrid method. The results are mapped and compared with conventional models such as the ITU-R model, Rice-Holmberg, Moupfouma and Crane models. The proposed rainfall rate models are compared and evaluated using root mean square and chi-square (χ 2 ) statistics. Then re-classification of the rain zone using ITU-R and Crane designations is suggested for easy integration with existing radio planning tools. The rainfall rate contour maps at 0.01% percentage of exceedence are then developed for South Africa and its surrounding islands.

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Section: Comparative Studies Of Both Itu-r and Crane Rain Rate Zonessupporting

confidence: 68%

Section: Review Of Existing Rain Rate Modelsmentioning

confidence: 99%

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Rainfall Rate Probability Density Evaluation and Mapping for the Estimation of Rain Attenuation in South Africa and Surrounding Islands

Owolawi¹

2011

PIER

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“…The physical models attempt to reproduce the physical behaviour involved in the attenuation processes while the empirical methodologies are based on measurement databases from stations in different climatic zones within a given region. The empirical methods are used widely and frequently with the best success (Emiliani et al, 2004). Two main causes of attenuation are scattering and absorption.…”

Section: Attenuation Due To Rainmentioning

confidence: 99%

Quasi-optical Systems Based on Periodic Structures

Vorobjov¹,

Shulga²,

Zhurbenko³

2011

Electromagnetic Waves

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“…However, there are very few areas where the one-minute rain rate data is available (for example, in [3,4]). In [5], an integration time of 5 minutes was used. An integration time of ten minutes was used in [6].…”

Section: Introductionmentioning

confidence: 99%

Calculation of electromagnetic wave attenuation due to rain using rainfall data of long and short duration

Tamošiūnas¹

2007

Lithuanian J. Phys.

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Almost all methods predicting electromagnetic wave attenuation due to rain require one-minute rain rate data. Due to limited availability of one-minute rainfall rate data in many cases, conversion of rainfall rate distribution over a long integration time (for example, ten-minute, one-hour, or daily data) into the distribution for one minute is needed. Only ten-minute, one-hour, and daily rainfall data are available at Lithuanian Weather Stations in many cases. Several rainfall rate conversion methods are reviewed and their suitability under Lithuanian climatic conditions is revised. The data of rainfall are presented for the extreme cases to demonstrate the high degree of variability that can occur in locations of Lithuania. A simple conversion method of long-term rain rate data to one-minute rain rate distribution has been used. A new method for determination of one-minute rain rate has been proposed. The method can be expected to be applicable to regions of the Baltic Sea areas where the one-minute rain rate data have not yet been available.

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Development of rain-attenuation and rain-rate maps for satellite system design in the Ku and Ka bands in Colombia

Cited by 38 publications

References 11 publications

Rainfall Rate Probability Density Evaluation and Mapping for the Estimation of Rain Attenuation in South Africa and Surrounding Islands

Rainfall Rate Probability Density Evaluation and Mapping for the Estimation of Rain Attenuation in South Africa and Surrounding Islands

Quasi-optical Systems Based on Periodic Structures

Calculation of electromagnetic wave attenuation due to rain using rainfall data of long and short duration

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