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O2-O2 cloud retrieval algorithm and application to TROPOMI

  • role： First author第一作者
  • Affiliation：

    School of Environmental Science and Optoelectronic Technology, University of Science and Technology of China, Hefei 230026, China

  • Email：zwq16@mail.ustc.edu.cn
  • Introduction：张文强，1994年生，男，硕士研究生，研究方向为大气中云卫星遥感反演。E-mail: zwq16@mail.ustc.edu.cn
ZHANG Wenqiang1,  
  • role： Corresponding author通信作者
  • Affiliation：

    Key Lab of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China

    School of Earth and Space Sciences, University of Science and Technology of China, Hefei 230026, China

    Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China

    Anhui Province Key Laboratory of Polar Environment and Global Change, University of Science and Technology of China, Hefei 230026, China

  • Email：chliu81@ustc.edu.cn
  • Introduction：刘诚，1981年生，男，教授，研究方向为大气物理化学、卫星与飞机遥感及应用和环境污染监测。E-mail: chliu81@ustc.edu.cn
LIU Cheng2345*,  
  • Affiliation：

    European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT), Darmstadt 64295, Germany

HAO Nan6,  
  • Affiliation：

    European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT), Darmstadt 64295, Germany

GIMENO GARCIA Sebastian6,  
  • Affiliation：

    School of Earth and Space Sciences, University of Science and Technology of China, Hefei 230026, China

XING Chengzhi3,  
  • Affiliation：

    School of Earth and Space Sciences, University of Science and Technology of China, Hefei 230026, China

ZHANG Chengxin3,  
  • Affiliation：

    School of Earth and Space Sciences, University of Science and Technology of China, Hefei 230026, China

SU Wenjing3,  
  • Affiliation：

    Key Lab of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China

LIU Jianguo2

resumen

The cloud covers more than 50% of the Earth, which plays a major role in radiation budget of Earth climate system and hydrological cycle through their strong impact on radiation process. Cloud is an important factor to affect the retrieval accuracy of trace gases during the measurement of air pollution based on remote sensing method. The effective cloud fraction and cloud pressure should be used in the process of correcting cloud effects. In this paper, O2-O2 cloud retrieval algorithm based on O2-O2 absorption band at 477 nm will be described.The O2-O2 cloud retrieval algorithm is developed based on the Look-Up Table (LUT) method. Effective cloud fraction and cloud pressure LUTs were generated using VLIDORT radiation transfer model based on the relationships of effective cloud fraction, cloud pressure, continuum reflectance and O2-O2 slant column density. Then, the Differential Optical Absorption Spectroscopy (DOAS) is used to fit the radiance of top-of-atmosphere measured by the satellite payload, to obtain O2-O2 slant column density and the continuum reflectance. Finally, combined with the auxiliary data, the effective cloud fraction and cloud pressure are retrieved by the interpolation based on the LUTs.We have a validation between the O2-O2 cloud retrieval algorithm results based on OMI data and OMCLDO2 products. The spatial distribution of the effective cloud fraction and cloud pressure show great consistency, and the correlation coefficients (R) between them are greater than 0.97. Then the O2-O2 cloud retrieval algorithm was applied to the new generation of atmospheric sounding instrument TROPOMI. The cloud retrieval results also show high correlation compared with the FRESCO+ results, and R of effective cloud fraction and cloud pressure between above two results are greater than 0.97 and 0.95, respectively, when the surface type is ocean. The time series analysis of three months in Beijing from the two algorithms shows the good consistency of the retrieval results. Moreover, we compared with CALIOP Cloud Layer products using all the retrieved cloud pressure results of FRESCO+ and O2-O2 cloud retrieval algorithm. O2-O2 cloud retrieval algorithm performed better than FRESCO+ under low cloud condition. However, the FRESCO+ retrieval results are closer to CALIOP cloud pressure than O2-O2 cloud retrieval algorithm under high cloud condition.The O2-O2 cloud retrieval algorithm was used during the cloud retrieval of OMI and TROPOMI, and it shows high accuracy and feasibility. This kind of algorithm can provide information of effective cloud fraction and cloud pressure in the process of atmospheric trace gases retrieval. The more important is that O2-O2 cloud retrieval algorithm could provide reference for the development of cloud retrieval algorithm applied to the same type of satellite payload of China.

palabra clave

remote sensing;O2-O2;effective cloud fraction;cloud pressure;look-up table;OMI;TROPOMI;CALIPSO

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