Validation of Empirical Rainrate Models Over a Tropical Coastal Station and an Inland Station in Southern India

Panigrahi, Chandrika; Rao, S. Vijaya Bhaskara; Nadimpally, Kirankumar; Thota, Narayana Rao

doi:10.1109/lawp.2015.2469721

Cited by 2 publications

(3 citation statements)

References 12 publications

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“…Due to large variations in the environment and precipitation, these models have been modified to suite particular regions. Many of the microwave attenuation studies have been carried out to test these models for different regions (e.g., Chebil & Rahman, 1999;Dias et al, 2018;Fashuyi & Afullo, 2007;Maitra, 2004;Mulangu & Afullo, 2009;Panigrahi et al, 2016). The potential of these models in predicting the rain attenuation of Ka-band signal over different regions also has been well investigated (Fashuyi & Afullo, 2007;Mulangu & Afullo, 2009).…”

Section: Introductionmentioning

confidence: 99%

“…It has been pointed by many researchers that most accepted ITU-R model performs poorly in the equatorial climate (Mandeep, 2009;Yusuf et al, 2016). There are extensive theoretical and experimental studies on attenuation of microwave signal (Ajewole et al, 1999;Dias et al, 2018;Ippolito, 1989;Liebe, 1989;Odedina & Afullo, 2010;Olsen et al, 1978;Panchal & Joshi, 2016;Shrestha & Choi, 2016;Yeo et al, 2001), however, limited studies on the characterization of Ka-band attenuation over the Indian subcontinent (Maitra, 2004;Panchal & Joshi, 2016;Panigrahi et al, 2016). Maitra (2004) computed attenuation of microwave signal for the estimated rain drop distribution for the Indian stations.…”

Section: Introductionmentioning

confidence: 99%

“…The characterization of Ka‐band propagation has not yet been studied over this region. For this station ITU‐R P. 837‐6, Chebil, Segal, and Moupfouma rain rate models have been tested [Chebil and Rahman, ; Panigrahi et al, ; Segal, ] and based on rain rate statistics, rain attenuation and percentage time outage have been studied. This result is the first such study reporting the attenuation of Ka‐band signal based on measurement from a tropical Indian station.…”

Section: Introductionmentioning

confidence: 99%

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Characterization of GSAT‐14 Satellite Ka‐Band Microwave Signal Attenuation Due to Precipitation Over a Tropical Coastal Station in the Southern Peninsular Region of the Indian Subcontinent

et al. 2020

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This paper focuses on study of attenuation of microwave propagation at Ka‐band frequencies due to precipitation over an Indian Tropical station, Thiruvananthapuram (8.5°N, 76.8°E). The station is located on the gateway of S‐W Indian monsoon into the subcontinent characterized with prolonged rain for a period of about 9 months. A satellite link has been established at Thumba, Thiruvananthapuram, between Ka‐band receiver operating at 20.2 and 30.5 GHz and GSAT‐14 as part of Indian Space Research Organization's Ka‐band propagation experiment. The concurrent measurements of Ka‐band signals and the precipitation, using a collocated laser precipitation monitor instrument, were carried out during the entire period of Indian monsoon. The study focuses on quantifying the dependence of Ka‐band attenuation on rain rate during the rain‐dominated premonsoon and summer monsoon seasons. The observed attenuation has been evaluated with ITU model.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Characterization of GSAT‐14 Satellite Ka‐Band Microwave Signal Attenuation Due to Precipitation Over a Tropical Coastal Station in the Southern Peninsular Region of the Indian Subcontinent

et al. 2020

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The Kernel Density Estimation Technique for Spatio-Temporal Distribution and Mapping of Rain Heights over South Africa: The Effects on Rain-Induced Attenuation

Lawal,

Owolawi,

et al. 2024

Atmosphere

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The devastating effects of rain-induced attenuation on communication links operating above 10 GHz during rainy events can significantly degrade signal quality, leading to interruptions in service and reduced data throughput. Understanding the spatial and seasonal distribution of rain heights is crucial for predicting these attenuation effects and for network performance optimization. This study utilized ten years of atmospheric temperature and geopotential height data at seven pressure levels (1000, 850, 700, 500, 300, 200, and 100 hPa) obtained from the Copernicus Climate Data Store (CDS) to deduce rain heights across nine stations in South Africa. The kernel density estimation (KDE) method was applied to estimate the temporal variation of rain height. A comparison of the measured and estimated rain heights shows a correlation coefficient of 0.997 with a maximum percentage difference of 5.3%. The results show that rain height ranges from a minimum of 3.5 km during winter in Cape Town to a maximum of about 5.27 km during the summer in Polokwane. The spatial variation shows a location-dependent seasonal trend, with peak rain heights prevailing at the low-latitude stations. The seasonal variability indicates that higher rain heights dominate in the regions (Polokwane, Pretoria, Nelspruit, Mahikeng) where there is frequent occurrence of rainfall during the winter season and vice versa. Contour maps of rain heights over the four seasons (autumn, spring, winter, and summer) were also developed for South Africa. The estimated seasonal rain heights show that rain-induced attenuations were grossly underestimated by the International Telecommunication Union (ITU) recommended rain heights at most of the stations during autumn, spring, and summer but fairly overestimated during winter. Durban had a peak attenuation of 15.9 dB during the summer, while Upington recorded the smallest attenuation of about 7.7 dB during winter at a 0.01% time exceedance. Future system planning and adjustments of existing infrastructure in the study stations could be improved by integrating these localized, seasonal radio propagation data in link budget design.

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Validation of Empirical Rainrate Models Over a Tropical Coastal Station and an Inland Station in Southern India

Cited by 2 publications

References 12 publications

Characterization of GSAT‐14 Satellite Ka‐Band Microwave Signal Attenuation Due to Precipitation Over a Tropical Coastal Station in the Southern Peninsular Region of the Indian Subcontinent

Characterization of GSAT‐14 Satellite Ka‐Band Microwave Signal Attenuation Due to Precipitation Over a Tropical Coastal Station in the Southern Peninsular Region of the Indian Subcontinent

The Kernel Density Estimation Technique for Spatio-Temporal Distribution and Mapping of Rain Heights over South Africa: The Effects on Rain-Induced Attenuation

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