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Cloud cover, cloud liquid water and cloud attenuation at Ka and V bands over equatorial climate

机译:赤道气候下Ka和V波段的云量,云状液态水和云量衰减

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摘要

Cloud cover statistics and their diurnal variation have been obtained from in situ and satellite measurements for three equatorial locations. Cloud liquid water content, 0 ?C isotherm height and cloud attenuation have also been obtained from radiosonde measurement using the so-called Salonen model at Kuala Lumpur (Malaysia). The results show a strong seasonal variation of cloud cover and cloud liquid water content on the two monsoon seasons. The Liquid Water Content (LWC) obtained from radiosonde and the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) is higher during the Northeast Monsoon season, which corresponds to the period of higher percentage cloud cover and high rainfall accumulation. The International Telecommunication Union - Region (ITU-R) model underestimates the cumulative distribution of LWC values at the present station. The relationship of the cloud attenuation, derived from the profiles of liquid water density and temperature within the cloud, shows an underestimate by the data obtained from the ITU-R model. The cloud attenuation at Kuala Lumpur is somewhat underestimated by the ITU-R model up to about 1.2 dB at Ka (30 GHz) and 3.4 dB at V (50 GHz) bands. The results of the specific attenuation can be used for the estimation of cloud attenuation at microwave and millimetre wave over earth-space paths. The present data are important for planning and design of satellite communications at Ka and V bands on the Earth-space path in the equatorial region.
机译:从三个赤道位置的实地和卫星测量获得了云量统计数据及其日变化。还使用所谓的吉隆坡(马来西亚)的Salonen模型,通过无线电探空仪测量获得了云状液态水含量,0°C等温线高度和云状衰减。结果表明,在两个季风季节,云量和云层液态水含量存在强烈的季节性变化。在东北季风季节,从探空仪和热带降雨测量任务(TRMM)微波成像仪(TMI)获得的液态水含量(LWC)较高,这对应于更高的云量覆盖率和高降雨积聚期。国际电信联盟-地区(ITU-R)模型低估了本站LWC值的累积分布。从云中的液态水密度和温度分布图得出的云衰减关系表明,从ITU-R模型获得的数据低估了这一关系。 ITU-R模型低估了吉隆坡的云衰减,在Ka(30 GHz)时高达1.2 dB,在V(50 GHz)时高达3.4 dB。特定衰减的结果可用于估算微波和毫米波在地球空间路径上的云衰减。目前的数据对于规划和设计赤道地区地球空间路径上Ka和V波段的卫星通信很重要。

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