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首页> 外文期刊>International journal of remote sensing >Assessing solar energy potential using diurnal remote-sensing observations from Kalpana-1 VHRR and validation over the Indian landmass
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Assessing solar energy potential using diurnal remote-sensing observations from Kalpana-1 VHRR and validation over the Indian landmass

机译：使用Kalpana-1 VHRR的每日遥感观测评估太阳能潜力，并在印度陆地上进行验证

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摘要

A spectrally integrated clear-sky and three-layer cloudy-sky models were developed to determine atmospheric transmittances and instantaneous surface insolation. Half-hourly observations at 8 km spatial resolution in optical and thermal infrared bands from an Indian geostationary satellite (Kalpana-1) Very High Resolution Radiometer (VHRR) sensor were used to provide inputs to these models in addition to global 8 day aerosol optical depth and columnar ozone. Sensitivity analysis of the clear-sky model showed a higher influence of aerosol on global insolation, diffuse insolation, and its fraction as compared with water vapour and ozone. The root mean square error (RMSE) of insolation estimates of the daily integral was found to be 2.05 MJ m~(-2) (~11.2% of measured mean) with a high correlation coefficient (r = 0.93) when compared with in situ measurements during 1 August 2008 to 31 March 2010 over six locations in India. The errors were found to reduce to 7.5% over 3 to 5 day averages. The comparison of annual estimates and equivalent reanalysis fields showed a mean difference of the order of ±1.7 MJ m~(-2) over the majority of the Indian landmass.
机译：建立了光谱积分的晴空和三层多云天空模型，以确定大气透射率和瞬时表面日照。来自印度对地静止卫星（Kalpana-1）的超高分辨率辐射计（VHRR）传感器以光学和热红外波段在8 km空间分辨率上进行的半小时观测，除了提供全球8天气溶胶光学深度外，还为这些模型提供了输入和柱状臭氧晴空模型的敏感性分析显示，与水蒸气和臭氧相比，气溶胶对整体日射，漫射日射及其分数的影响更大。与原位比较，日积分的日照估计值的均方根误差（RMSE）为2.05 MJ m〜（-2）（〜11.2％的测量平均值），相关系数较高（r = 0.93） 2008年8月1日至2010年3月31日在印度的六个位置进行的测量。发现错误在3至5天的平均时间内降低到7.5％。年度估算值和等效再分析场的比较表明，在大多数印度大陆上，平均差异约为±1.7 MJ m〜（-2）。

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  • 来源
    《International journal of remote sensing》 |2013年第20期|7069-7090|共22页
  • 作者

    Bimal K. Bhattacharya; N. Padmanabhan; Sazid Mahammed; R. Ramakrishnan; J.S. Parihar;

  • 作者单位

    Earth Ocean Atmosphere Planetary Sciences and Applications Area, Space Applications Centre (ISRO), Ahmedabad 380015, Gujarat, India;

    Signal and Image Processing Area, Space Applications Centre (ISRO), Ahmedabad 380015, Gujarat, India;

    Signal and Image Processing Area, Space Applications Centre (ISRO), Ahmedabad 380015, Gujarat, India;

    Signal and Image Processing Area, Space Applications Centre (ISRO), Ahmedabad 380015, Gujarat, India;

    Earth Ocean Atmosphere Planetary Sciences and Applications Area, Space Applications Centre (ISRO), Ahmedabad 380015, Gujarat, India;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
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