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Meteorological Sub-divisional Scale Rainfall Monitoring Using Kalpana-1 VHRR Measurements

机译:使用Kalpana-1 VHRR测量的气象分区雨量监测

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摘要

Geostationary satellites provide measurements over a wider geographical area with high temporal sampling, while microwave measurements are more accurate but sparse. For continuous monitoring of the Indian monsoon, geostationary platform would be ideal. In this study, INSAT (Indian National Satellite) Multi-spectral Rainfall Algorithm (IMSRA) has been used for the estimation of rainfall from Kalpana-1 very high resolution radiometer (VHRR) measurements. IMSRA benefits from the relative advantages of infrared and microwave sensors and is operational at the India Meteorological Department (IMD). In this paper, rainfall is estimated over India at meteorological sub-divisional scale during the southwest monsoon season of 2009 using Kalpana-1 satellite measurements. This is the first experimental attempt to generate meteorological sub-divisional scale rainfall maps using Kalpana-1 satellite measurements. The rainfall maps for the southwest monsoon season over the Indian land region are successfully utilised as a space input for the drought monitoring of the year 2009. The results have been compared with the IMD gauge-based accumulated rainfall maps at monthly and seasonal time scales. The qualitative comparison suggests that rainfall maps generated using the present methodology is in good agreement with the IMD rainfall maps. The quantitative comparison of the sub-divisional monthly accumulated rainfall shows a correlation of 0.77 and standard error of 71 mm over the non-orographic regions, whereas a correlation of 0.60 and standard error of 117 mm is observed over the orographic regions. The present study shows that Kalpana-1 satellite-based rainfall estimates (IMSRA technique) can act as a complementary tool for the monsoon monitoring over the Indian meteorological sub-divisions and can be used for various meteorological and hydrological applications.
机译:对地静止卫星提供了具有较高时间采样的更广泛地理区域的测量结果,而微波测量结果更准确但稀疏。为了连续监测印度季风,地球静止平台将是理想的。在这项研究中,INSAT(印度国家卫星)多光谱降雨算法(IMSRA)已用于通过Kalpana-1超高分辨率辐射计(VHRR)测量来估算降雨。 IMSRA受益于红外和微波传感器的相对优势,并且可以在印度气象局(IMD)进行操作。在本文中,使用Kalpana-1卫星测量值估算了2009年西南季风季节印度气象分区的降雨量。这是使用Kalpana-1卫星测量结果生成气象细分分区降雨图的首次实验尝试。印度陆地地区西南季风季节的降雨图已成功地用作2009年干旱监测的空间输入。已将结果与基于IMD计的月度和季节时标的累积降雨图进行了比较。定性比较表明,使用本方法生成的降雨图与IMD降雨图非常吻合。细分月度累积降雨的定量比较显示,非地形区域的相关系数为0.77,标准误差为71 mm,而地形区域的相关系数为0.60,标准误差为117 mm。本研究表明,基于卡尔帕纳1号卫星的降雨估算(IMSRA技术)可以作为印度气象分区的季风监测的补充工具,并可以用于各种气象和水文应用。

著录项

  • 来源
    《Geographical Research 》 |2014年第3期| 328-336| 共9页
  • 作者单位

    Atmospheric and Oceanic Sciences Group, Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, India;

    Atmospheric and Oceanic Sciences Group, Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, India,National Centre for Medium Range Weather Forecasting, Earth System Science Organization, Ministry of Earth Sciences, Noida 201 309, India;

    Atmospheric and Oceanic Sciences Group, Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, India;

    Atmospheric and Oceanic Sciences Group, Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, India;

    Atmospheric and Oceanic Sciences Group, Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, India;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    rainfall; Indian summer monsoon; hydrology; infrared; microwave;

    机译:雨量;印度夏季风;水文学红外线;微波;

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