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A study of changes in rainfall and temperature patterns at four cities and corresponding meteorological subdivisions over coastal regions of India

机译:印度沿海地区四个城市及相应气象分区的降水和温度模式变化研究

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Changes in the surface air temperature and rainfall, extreme events and their future projections at four Indian cities and corresponding meteorological subdivisions and homogeneous zones have been analyzed in this study based on observed gridded datasets from the India Meteorological Department (IMD) and climate projections from nine IPCC models. The cities include Howrah, Vishakhapatnam, Madurai and Kochi. Their corresponding meteorological subdivisions are Gangetic West Bengal, Coastal Andhra Pradesh, Tamil Nadu & Pondicherry and Kerala. When one considers the larger spatial scale, these cities and meteorological subdivisions are situated in the temperature homogeneous zones of North East, East Coast and West Coast. Similarly, North East and Peninsular India are the rainfall homogeneous zones where these four cities are situated. In this study, indication of change in any climate parameter is assumed to be strong if the same is found in a city and also in its meteorological subdivision and homogeneous zone. When the indications are of the same nature in a city and either in its meteorological subdivision or homogeneous zone, it is termed as weak. Comparison shows that the values of annual mean temperature and summer monsoon precipitation simulated by MIROC 3.2 (medres) and NCAR_CCSM3 models are close to the corresponding observed values at each of the four cities. Analysis shows similar trends in the annual mean observed temperature and monsoon precipitation in the selected four cities and their corresponding meteorological subdivisions and homogeneous zones. Based on IMD gridded datasets, the rise in annual mean temperature at 1% significant level during 1969-2005 in Kochi and its subdivision and homogeneous zone is a strong indication of warming. At Madurai such warming is weak. Whereas, at Howrah and Vishakhapatnam, there are no strong indications of warming based on the available IMD gridded data. So far as the future is concerned, the results show that in the coming 30 years, the projections of mean temperature rise at Vishakhapatnam, Madurai and Kochi at 1 % significance are strong, whereas at Howrah it is weak. Extreme temperature events such as warm days & nights and cold days & nights have also been examined. There is strong projection of the decrease in the moderately cold events (T05p) at 1% significance at Madurai. At the same place, the projection of moderately warm events (T95p) is weak. At Kochi the projections of increase in low (T90p) and moderate (T95p) warm events at 1% significance are weak. There are no strong projections of increase/decrease of warm/ cold events in Howrah and Vishakhapatnam.
机译:在这项研究的基础上,根据印度气象部门(IMD)的网格化数据集和来自9个城市的气候预测,分析了四个印度城市以及相应的气象分区和同质区的地表气温和降雨量的变化,极端事件及其未来的预测。 IPCC模型。这些城市包括Howrah,Vishakhapatnam,Madurai和Kochi。它们对应的气象细分是恒河西孟加拉邦,安得拉邦沿海,泰米尔纳德邦和朋迪榭里和喀拉拉邦。当考虑更大的空间规模时,这些城市和气象分区位于东北,东海岸和西海岸的温度均匀区域中。同样,东北和印度半岛是这四个城市所在的降雨均质区。在这项研究中,如果在城市以及其气象分区和均质区中发现了任何气候参数的变化,则假定该变化的迹象很强。当指示在城市中具有相同的性质时,无论是在气象分区还是在同质区域中,都被称为弱指示。比较表明,用MIROC 3.2(中)和NCAR_CCSM3模型模拟的年平均气温和夏季季风降水值接近四个城市中每个城市的相应观测值。分析表明,所选四个城市及其相应的气象分区和均质区的年平均观测温度和季风降水趋势相似。根据IMD网格数据集,1969年至2005年,高知及其细分和均质带的年平均温度升高了1%,这是变暖的有力迹象。在马杜赖,这种变暖微弱。而在Howrah和Vishakhapatnam,根据可用的IMD网格数据,没有强烈的迹象表明变暖。就未来而言,结果表明,在未来30年中,Vishakhapatnam,Madurai和Kochi的平均温度上升的预测为1%,而在Howrah则为弱。还检查了极端温度事件,例如温暖的白天和黑夜以及寒冷的白天和黑夜。在马杜赖,中度寒冷事件(T05p)的下降有1%的显着性。在同一地点,中度暖事件(T95p)的预测较弱。在高知,低(T90p)和中(T95p)暖事件以1%的显着性增长的预测是微弱的。豪拉和维沙卡帕特南的暖/冷事件没有增加/减少的强烈预测。

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