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首页> 外文期刊>International Journal of Photoenergy >Mapping Global Solar Radiation from Long-Term Satellite Data in the Tropics Using an Improved Model
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Mapping Global Solar Radiation from Long-Term Satellite Data in the Tropics Using an Improved Model

机译:使用改进的模型绘制来自热带地区长期卫星数据的全球太阳辐射图

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摘要

This paper presents an improved model and its application for mapping global solar radiation from satellite data in the tropics. The model provides a more complete description of the absorption and scattering of solar radiation in the earth-atmosphere system as compared to the earlier models. The study is conducted in the tropical environment of Thailand. Digital data from the visible channel of GMS4, GMS5, GOES9, and MTSAT-1R satellites collected during a 15-year period (1995-2009) are used as a main input to the model. Satellite gray levels are converted into earth-atmospheric reflectivity and used to estimate the cloud effect. The absorption of solar radiation due to water vapour is computed from precipitable water derived from ambient temperature and relative humidity. The total ozone column data from TOMS/EP and OMI/AURA satellites are used to compute solar radiation absorption by ozone. The depletion of solar radiation due to aerosol is estimated from visibility data. In order to test its performance, the model is employed to calculate monthly average daily global solar radiation at 36 solar monitoring stations across the country. It is found that solar radiation calculated from the model and that obtained from the measurement are in good agreement, with a root mean square difference of 5.3% and a mean bias difference of 0.3%. The model is used to calculate the monthly average daily global solar radiation over the entire country, and results are displayed as monthly and yearly maps. These maps reveal that the geographical distribution of solar radiation in Thailand is strongly influenced by the tropical monsoons and local geographical features.
机译:本文提出了一种改进的模型及其在热带地区从卫星数据中绘制全球太阳辐射图的应用。与早期模型相比,该模型提供了对地球大气系统中太阳辐射吸收和散射的更完整描述。该研究在泰国的热带环境中进行。在15年期间(1995年至2009年)收集的GMS4,GMS5,GOES9和MTSAT-1R卫星可见频道的数字数据被用作模型的主要输入。卫星灰度转换为地球大气反射率,并用于估计云效应。由水蒸气引起的太阳辐射吸收是根据环境温度和相对湿度得出的可沉淀水计算得出的。来自TOMS / EP和OMI / AURA卫星的臭氧总柱数据用于计算臭氧对太阳辐射的吸收。根据能见度数据估算由于气溶胶引起的太阳辐射损耗。为了测试其性能,该模型用于计算全国36个太阳能监测站的月平均每日全球太阳辐射量。结果表明,由模型计算得到的太阳辐射与从测量得到的太阳辐射非常吻合,均方根差为5.3%,平均偏差差为0.3%。该模型用于计算整个国家/地区的每月平均每日全球太阳辐射总量,结果显示为每月和每年的地图。这些地图显示,泰国的太阳辐射地理分布受到热带季风和当地地理特征的强烈影响。

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