首页> 外文会议>Asian conference on remote sensingACRS >ANALYSIS OF EXTREME TEMPERATURE EVENTS OVER CENTRAL INDIAN REGION USING SATELLITE DATA
【24h】

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

机译:利用卫星数据分析中心印度地区的极端温度事件

获取原文

摘要

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:4月3日3月的极端温度事件(ete)分析了2003 - 2016年3月的中央印度地区,使用远程感测的烟囱3版本6(1°x 1°)气温在表面上数据。在基于IMD网格化的温度数据的空中和地面之间发现了0.84的高正相关,支持使用Airs数据进行研究。完成了直方图分析,以识别为ete,这表明当空气温度高于每日平均温度的99百分位数(T_(DM))时可以考虑HW。要了解仪表的频率,持续时间和强度,使用T_(DM)和长期平均值(M_(LT))之间的差异来计算热指数(HI),即异常,并将其除以M_(LT)的标准偏差。研究区域的M_(LT)在3月底和4月初的温度下表现出轻微的升高,表明了Ode的可能性。每年研究异常和从敏感性分析中加强敏感性分析,如果持续时间为2或大于两天,则将其高于0.3和超过0.8的异常的日子。虽然研究区太大了,但时间段太小而不结论趋势,但它推断出极端事件早期发生,即3月份有多年的几年,随着期间的时间而增加。持续时间超过5天的速度的数量也很大。研究区的空间分析有助于可视化印度中部地区更受捷德影响的地区。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号