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Investigation of Atmospheric Turbidity at Ghardaa (Algeria) Using Both Ground Solar Irradiance Measurements and Space Data
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作者 Djafer Djelloul Irbah Abdanour +2 位作者 Keckhut Philippe Zaiani Mohamed Meftah Mustapha 《Atmospheric and Climate Sciences》 2019年第1期114-134,共21页
Four radiometric models are compared to study the Angstr?m turbidity coefficient over Gharda?a (Algeria). Five years of global irradiance measurements and space data recorded with MODIS are used to estimate . The mode... Four radiometric models are compared to study the Angstr?m turbidity coefficient over Gharda?a (Algeria). Five years of global irradiance measurements and space data recorded with MODIS are used to estimate . The models are referenced as for Dogniaux’s method, for Louche’s method, for Pinazo’s method, for Gueymard’s method and by for MODIS data. The results showed that and are very close as the couple and . values are between them. Results showed also that all Angstr?m coefficient curves have the same annual trend with maximum and minimum values respectively in summer and winter months. Annual mean values of increased from 2005 to 2008 with a slight jump in 2007 except for . The city environment explains it since the urban aerosols predominate over all other types during this period. The jump in 2007 is attributed to the ozone layer thickness that undergoes the same behavior. Some models are then more sensitive to this atmospheric component than others. The occurrence frequency distribution showed that , , , and had their maximum recurrent values near 0.03, 0.07, 0.10, 0.09 and 0.02 respectively. The cumulative frequency distribution revealed also that and yielded maximum “clean to clear” conditions with respect to others while and had the minimum. The opposite was observed on the same pairs with regard to “clear to turbid” and “turbid to very turbid” conditions. Louche’s model gave middle values of sky conditions comparing to the other models. 展开更多
关键词 solar radiation Turbidity Parameters angstrom coefficient Aerosols Investigation Radiometric Models
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Angstrm公式参数率定及其随经度与海拔的变化 被引量:1
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作者 卫琦 徐俊增 +2 位作者 彭世彰 于艳梅 杨士红 《灌溉排水学报》 CSCD 北大核心 2014年第2期6-10,共5页
在相近纬度条件下,选择不同经度和海拔区域的数据率定计算太阳辐射的2个重要参数as、bs,并分析as、bs与相关影响因素之间的关系。结果表明,沿海地区as、bs分布较集中,且均略小于内陆地区。采用as、bs率定值计算Rs,计算精度(RMSR小于3.7M... 在相近纬度条件下,选择不同经度和海拔区域的数据率定计算太阳辐射的2个重要参数as、bs,并分析as、bs与相关影响因素之间的关系。结果表明,沿海地区as、bs分布较集中,且均略小于内陆地区。采用as、bs率定值计算Rs,计算精度(RMSR小于3.7MJ/(m2·d))比采用FAO56推荐值高。有实测资料的地区,应采用地区率定的as、bs值进行辐射计算;此外,以经度、海拔和相对日照时数作为影响因素建立相近纬度范围内站点as、bs率定值的计算方法,可用于相近纬度范围内无资料地区辐射的估算。 展开更多
关键词 Angstr6m参数 太阳辐射 经度 海拔
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Analysis of Atmospheric Turbidity in Clear Skies at Wuhan,Central China 被引量:2
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作者 Lunche Wang Yisen Chen +2 位作者 Ying Niu German Ariel Salaza Wei Gong 《Journal of Earth Science》 SCIE CAS CSCD 2017年第4期729-738,共10页
The Angstr6m turbidity coefficient (β) and Linke turbidity factor (TL) are used to study the atmospheric conditions in Wuhan, Central China, using measureβd direct solar radiation during 2010-2011 in this study.... The Angstr6m turbidity coefficient (β) and Linke turbidity factor (TL) are used to study the atmospheric conditions in Wuhan, Central China, using measureβd direct solar radiation during 2010-2011 in this study. The results show that annual mean β values generally increase from 0.28 in the morning to 0.35 at noon, and then decrease to 0.1 in the late afternoon during the day; annual mean TL generally varies from 3 to 7 in Central China. Both turbidity coefficients have maximum values in spring and summer, while minimum values are observed in winter months. It also reveals that β values show preponderance (52.8%) between 0.15 and 0.35, 78.1% of TL values are between 3.3 and 7.7, which can be compared with other sites around the world. Relationship between turbidity coefficients and main me- teorological parameters (humidity, temperature and wind direction) have been further investigated, it is discovered that the local aerosol concentrations, dust events in northern China and Southwest Monsoon from the Indian Ocean influences the β values in the study area. 展开更多
关键词 direct solar radiation angstrom turbidity coefficient Linke turbidity factor Central China.
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