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ANALYSIS OF EXTREME TEMPERATURE EVENTS OVER CENTRAL INDIAN REGION USING SATELLITE DATA

机译:基于卫星数据的印度中部极端温度事件分析。

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An analysis of Extreme Temperature events (ETE) during the months of March, April, May was conducted over the Central Indian Region for the years 2003-2016 using remotely sensed AIRS level 3 version 6(1° x 1°) Air Temperature at surface data. A high positive correlation of 0.84 was found between the AIRS and ground based IMD gridded temperature data, supporting the use of AIRS data for the study. A histogram analysis, to identify the ETE was done, which showed that the HW can be considered when the Air temperature is higher than the 99th percentile of the Daily Mean Temperature (T_(dm)). To know about the frequency, duration and intensity of the ETE, a Heat Index (HI) was calculated using the difference between the T_(dm) and Long Term Mean (M_(lt)) i.e., the anomaly, and dividing it by the Standard Deviation of M_(lt). The M_(lt) of the study area showed a minor rise in temperature around end of March and beginning of April which indicated possibility of ETE. The anomaly along with the HI values and intensify from sensitivity analysis were studied yearly and the days which had a HI value above 0.3 and anomaly above 0.8 were considered as ETE for that year if the duration was of two or greater than two days. Though the study area was too big and the time period too small to conclude a trend, it was inferred that the extreme events are happening early i.e. in March for some years and increasing during May along with their duration. The number of ETE of duration more than 5 days was seen to be large as well. The spatial analysis of the study area helped to visualize the region that is more affected by ETE in Central India.
机译:使用遥感AIRS 3级版本6(1°x 1°)地表空气温度,对中印度地区2003-2016年3月,4月,5月的极端温度事件(ETE)进行了分析。数据。在AIRS和基于地面的IMD网格温度数据之间发现0.84的高正相关性,支持将AIRS数据用于研究。进行了直方图分析以识别ETE,该分析表明,当气温高于日平均温度(T_(dm))的99%时,可以考虑使用HW。为了了解ETE的频率,持续时间和强度,使用T_(dm)和长期平均值(M_(lt))之间的差(即异常),将其除以热指数(HI)。 M_(lt)的标准偏差。研究区域的M_(lt)显示3月底和4月初附近温度略有上升,这表明可能发生ETE。每年研究一次异常以及HI值并通过敏感性分析加强研究,如果持续时间为两天或两天以上,则HI值高于0.3且异常值高于0.8的日子被视为该年的ETE。尽管研究区域太大而时间段太短,无法得出趋势,但可以推断,极端事件发生在早期,即3月,持续了数年,5月随着持续时间的增加而增加。持续时间超过5天的ETE数量也很大。研究区域的空间分析有助于使印度中部受ETE影响更大的区域可视化。

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