中国科学院大气物理研究所大气科学和地球流体力学数值模拟国家重点实验室
State Key Laboratory of Numerical Modeling for Atmospheric Sciences and
Geophysical Fluid Dynamics (LASG)
Institute of Atmospheric Physics, Chinese Academy of Sciences

Vol. 5/No.5 April 2018

[Atmospheric Physical Process]How Do Aerosols Affect the Difference in Cloud Cover between Satellite and Surface Observations?

Satellite and ground-based observations are two important approaches for cloud detection. In recent years, serious atmospheric pollution has led to frequently high aerosol concentrations in North China, raising the question as to what the impact might be of these high levels of aerosols on the difference between satellite and surface cloud observations.


ZHANG Xiao (PhD student), along with Dr TAN Saichun and Prof. SHI Guangyu, from the Institute of Atmospheric Physics, Chinese Academy of Sciences, investigated the satellite sensor MODIS and surface cloud cover data and compared their difference over the period from 2002 to 2013. They found that the average differences in cloud cover between MODIS and surface data at nighttime (0.16–0.17, Figure 1a) were greater than during daytime (0.13–0.14, Figure 1b), and the differences in winter (0.30–0.31) were evidently greater than those in summer (0.05–0.06, Figure 1c).




Fig1. (a) Daytime and (b) nighttime deviations of Aqua MODIS and Synop observations; (c) Average deviations under different Aerosol optical depth (AOD) in four seasons; (d) Average deviations under different view zenith angle (VZA). Stems in the middle of each bar represent the AOD and VZA frequency distribution and corresponds to the right y axis.


They further investigated many factors of influence and found that the difference increased with an increase in aerosol optical depth (AOD, figure 1c) and satellite viewing zenith angle (figure 1d); plus, the coverage of snow also led to a larger deviation. Meanwhile, they found that the influence was related to cloud types. For example, AOD had a more significant effect on cumulus, altocumulus and cirrus clouds, which cannot cover the whole sky, than stratus and nimbostratus clouds, which can cover the whole sky.


"MODIS is a passive sensor that is easily affected by atmospheric pollution. Previous studies have shown that high aerosol plumes can be misclassified as cloud by MODIS, leading to erroneously large cloud cover, and hence a larger deviation with surface data. In future, we intend to focus on how to reduce the effects of these factors on cloud detection over North China,” explained Dr TAN.


The study is published in Advances in Atmospheric Sciences.


Reference
Zhang, X., S. Tan, and G. Shi, 2018: Comparison between MODIS-derived day and night cloud cover and surface observations over the North China Plain. Adv. Atmos. Sci., 35(2), https://doi.org/10.1007/s00376-017-7070-x.

Contact: TAN Saichun, sctan@mail.iap.ac.cn

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Editors:Wangchuanyi(wangcy@lasg.iap.ac.cn); Zhouwenling(zwl@lasg.iap.ac.cn); Lisiying(lisy@lasg.iap.ac.cn)