A Method to Determine Atmospheric Aerosol Optical Depth Using Total Direct Solar Radiation

Jinhuan Qiu Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China

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Abstract

Based on sensitivity of total direct solar radiation (DSR) detected by a pyrheliometer for aerosol physical–optical properties, a method is proposed to retrieve the 0.75-μm aerosol optical depth from the radiation, and an iteration inversion algorithm and a parameterized DSR model are developed. A key question of the method is the effect of aerosol size distribution uncertainty on the depth solution. As shown in inversion simulations using Junge size distributions and LOWTRAN7 aerosol models, a depth accuracy better than 5% can generally be expected for a solar zenith angle less than 75° if a Junge distribution with exponent ν = 3 is selected for the retrievals. In general, the smaller the depth and solar zenith angle, the higher the accuracy. In addition, it is important for improving solution accuracy to exactly determine the DSR and water vapor absorptance. If errors in DSR and the vertical water vapor amount are within ±2% and ±0.2 cm, resultant depth errors are usually within ±0.02 and ±0.013, respectively. The method is tested for comparative observations using a phyrheliometer and sunphotometer. There are 1267 sets of comparitive aerosol optical depths measured over 25 days. Results show that the 0.75-μm aerosol optical depths measured by the pyrheliometer conform well with those of the sunphotometer. Standard deviation of the total 1267 sets of optical depth is 10.2%, and the difference between two average optical depths is only 1.2%.

Corresponding author address: Dr. Jinhuan Qiu, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China.

Abstract

Based on sensitivity of total direct solar radiation (DSR) detected by a pyrheliometer for aerosol physical–optical properties, a method is proposed to retrieve the 0.75-μm aerosol optical depth from the radiation, and an iteration inversion algorithm and a parameterized DSR model are developed. A key question of the method is the effect of aerosol size distribution uncertainty on the depth solution. As shown in inversion simulations using Junge size distributions and LOWTRAN7 aerosol models, a depth accuracy better than 5% can generally be expected for a solar zenith angle less than 75° if a Junge distribution with exponent ν = 3 is selected for the retrievals. In general, the smaller the depth and solar zenith angle, the higher the accuracy. In addition, it is important for improving solution accuracy to exactly determine the DSR and water vapor absorptance. If errors in DSR and the vertical water vapor amount are within ±2% and ±0.2 cm, resultant depth errors are usually within ±0.02 and ±0.013, respectively. The method is tested for comparative observations using a phyrheliometer and sunphotometer. There are 1267 sets of comparitive aerosol optical depths measured over 25 days. Results show that the 0.75-μm aerosol optical depths measured by the pyrheliometer conform well with those of the sunphotometer. Standard deviation of the total 1267 sets of optical depth is 10.2%, and the difference between two average optical depths is only 1.2%.

Corresponding author address: Dr. Jinhuan Qiu, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China.

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