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| 陆地气溶胶细模态比的有效反演算法 |
| An Efficient Retrieval Algorithm for Fine Mode Fraction of Land Aerosols |
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| DOI： |
| 中文关键词: 气溶胶细模态比 反演算法 气溶胶光学厚度 恩格指数 陆地 |
| 英文关键词: Aerosol fine mode fraction Retrieval algorithm Aerosol optical depth ngstrom exponent Land |
| 基金项目:安徽省高校自然科学研究重点基金资助项目（KJ2019A0537） |
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| 摘要点击次数: 365 |
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| 中文摘要: |
| 提出了基于卫星气溶胶光学厚度（AOD）和恩格指数反演气溶胶细模态比（FMF）的新算法，该算法采用更准确的气溶胶模型，构建了以AOD和FMF为变量的二维查找表。将该算法用于北京和Jaipur两个地区FMF反演，并与AERONET和MODIS的FMF作比较。结果表明，新算法反演的FMF与AERONET的FMF的相关系数为0.656，而MODIS C6与AERONET的FMF相关系数为0.436；以AERONET的FMF为标准，新算法的均方根误差为0.156，低于MODIS C6的均方根误差（0.318）；新算法的反演结果中有90%处于±0.4的误差范围内，而MODIS C6的FMF只有57.4%处于该误差范围内。 |
| 英文摘要: |
| An new algorithm for retrieving aerosol fine mode fraction(FMF) was proposed based on the aerosol optical depth(AOD) from satellite and ngstrom exponent. It adopted a more accurate aerosol model and constructed a two-dimensions lookup table with AOD and FMF as variables. Applying this algorithm to retrieve FMF in Beijing and Jaipur， and comparing it with the FMF by AERONET an MODIS， the results showed that the correlation coefficient between the FMF retrieved by the new algorithm and by AERONET was 0.656， while the correlation coefficient between the FMF retrieved by MODIS C6 and by AERONET was 0.436. Taking the FMF by AERONET as the standard， the RMSE of the new algorithm was 0.156， which was lower than that by MODIS C6(0.318). 90% of the retrieval results were within the error range of ±0.4， while only 57.4% of the FMF by MODIS C6 was within this error range. |
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