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Some Precipitation Studies over Andhra Pradesh and the Bay of Bengal using TRMM and SSMI data

机译:使用TRMM和SSMI数据对Andhra Pradesh和Bengal湾的一些降水研究

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One of the most difficult issues in modeling the global atmosphere and climate by General Circulation Models is the simulation and initialization of precipitation processes and at the same time rainfall is most important meteorological parameter that effects India's economy. An attempt is made in the present study to evaluate diurnal variation of rain rates over the Bay of Bengal (BoB) for the months June through December during 1999–2002. TMI rainfall product of Wentz and Spencer and SSMI data sets were used in this study. Mean hourly rain rates were calculated over the BoB (10°–15° N and 85°–95°E) and discussed; this study highlights that maximum rain rates are observed in the afternoons during summer monsoon seasons.Secondly mean monthly annual cycle of rainfall is prepared using 3B42RT merged rain product and compared with mean monthly India Meteorological Department (IMD) data for the study period over Andhra Pradesh (A.P). Time series of daily variations of 3B42RT precipitation and observed real time rainfall data over A.P. for the study period is validated and the relationship between them is statistically significant at 1% level. Similarly mean monthly data prepared from the daily analysis and compared with the IMD mean monthly rainfall maps. The comparison suggests that even with only available real time data from 3B42RT and rain gauge, it is possible to construct usable large-scale rainfall maps on regular latitude-longitude grids. This analysis, which uses a high resolution and more local rain gauge data, is able to produce realistic details of Indian summer monsoon rainfall over the study period.
机译:通过通用循环模型建模全球气氛和气候的最困难问题之一是降水过程的仿真和初始化,同时降雨是印度经济影响的最重要的气象参数。在本研究中,在1999 - 2002年12月期间,评估孟加拉湾(BOB)湾的雨率雨率的日差异。在本研究中使用了GDIZ和Spencer和SSMI数据集的TMI降雨产品。在鲍勃(10°-15°N和85°-95°E)上计算平均每小时雨率,并讨论;本研究突出了夏季季节季节的下午在下午观察到的最高雨率。第二个平均每月降雨量的年度循环,使用3B42RT合并的雨水产品,与平均每月印度气象部门(IMD)数据进行研究期间的Andhra Pradesh (ap)。时间序列的每日变化3B42RT降水并观察到A.P的实时降雨数据。对于研究期间,验证了学习期,并且它们之间的关系在统计学上显着为1%。同样平均每日分析准备的每月数据,并与IMD平均每月降雨映射相比。比较表明,即使只有3B42RT和雨量计的可用实时数据,也可以在常规纬度 - 经度网格上构建可用的大规模降雨地图。这种分析,使用高分辨率和更多的雨量计数据,能够在研究期间生产印度夏季季风降雨的逼真细节。

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