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首页> 外文期刊>Geoscience and Remote Sensing Letters, IEEE >Large Area Soil Moisture Variations in Response to Cyclone Phailin in Eastern India
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Large Area Soil Moisture Variations in Response to Cyclone Phailin in Eastern India

机译:印度东部气旋帕林对大面积土壤水分的响应

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In October 2013, a very severe cyclonic storm Phailin that originated from a remnant cyclonic circulation from the South China Sea progressed westward toward the Indian subcontinent and made its landfall in Gopalpur town of an eastern Indian state of Orissa. The landfall (on October 12, 2013) was followed by very heavy rainfall in the Indian states of Orissa, Andhra Pradesh, Chhattisgarh, Jharkhand, Bihar, and West Bengal, threatening floods in some of these states. In this letter, an attempt has been made to build up a correlation between in situ rainfall and soil moisture, which is retrieved using brightness temperature data from Advanced Microwave Scanning Radiometer 2 (AMSR2), for the cyclone period (October 10–16, 2013). Using brightness temperature as the forcing parameter, the land parameter retrieval model has been employed to retrieve soil moisture at 12 hourly intervals for the period October 10–16, 2013. The study reveals a good agreement between the variations of rainfall (cause) and soil moisture (response) with correlation coefficient greater than 0.6 and the sensitivity of AMSR2 brightness temperature to soil moisture variations.
机译:2013年10月,来自南中国海的残余气旋环流引发的一次非常严重的气旋风暴Phailin向西发展至印度次大陆,并降落在印度东部奥里萨邦的Gopalpur镇。此次降落(2013年10月12日)之后,印度奥里萨邦,安得拉邦,恰蒂斯加尔邦,贾坎德邦,比哈尔邦和西孟加拉邦发生了非常大的降雨,威胁着其中一​​些邦的洪水。在这封信中,已尝试建立原位降雨与土壤水分之间的相关性,这是使用旋风周期从高级微波扫描辐射计2(AMSR2)提取的亮度温度数据检索得到的(2013年10月10日至16日)。以亮度温度为强迫参数,采用土地参数检索模型以2013年10月10日至16日的12小时间隔检索土壤水分。研究表明,降雨(原因)与土壤变化之间存在良好的一致性相关系数大于0.6的水分(响应),AMSR2亮度温度对土壤水分变化的敏感性。

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