Articles | Volume 17, issue 9
Atmos. Chem. Phys., 17, 5623–5641, 2017
https://doi.org/10.5194/acp-17-5623-2017

Special issue: Pan-Eurasian Experiment (PEEX)

Atmos. Chem. Phys., 17, 5623–5641, 2017
https://doi.org/10.5194/acp-17-5623-2017

Research article 03 May 2017

Research article | 03 May 2017

Analysis of aerosol effects on warm clouds over the Yangtze River Delta from multi-sensor satellite observations

Yuqin Liu et al.

Data sets

Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, MODIS Atmosphere Level-2 Daily Product Y. Q. Liu https://ladsweb.nascom.nasa.gov/search/

Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, the latest version (R04) of the CloudSat standard data products Y. Q. Liu https://www.cloudsat.cira.colostate.edu/order-data/

Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, CALIOP Level-2 aerosol layers product Y. Q. Liu https://www-calipso.larc.nasa.gov/tools/data_avail/

Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, ERA-Interim reanalysis data set Y. Q. Liu http://apps.ecmwf.int/datasets/ data/interim-full-daily/levtype=pl/

Short summary
The aerosol effects on warm cloud parameters over the Yangtze River Delta are systematically examined using multi-sensor retrievals. This study shows that the COT–CDR and CWP–CDR relationships are not unique, but are affected by atmospheric aerosol loading. CDR and cloud fraction show different behaviours for low and high AOD. Aerosol–cloud interaction (ACI) is stronger for clouds mixed with smoke aerosol than for clouds mixed with dust. Meteorological conditions play an important role in ACI.
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