Application of Aircraft Observations over Beijing in Cloud Microphysical Property Retrievals from CloudSat

• Published in: Advances in atmospheric sciences Vol. 31; no. 4; pp. 926 - 937
• Main Authors: Wang, Lei, Li, Chengcai, Yao, Zhigang, Zhao, Zengliang, Han, Zhigang, Wei, Qiang
• Format: Journal Article
• Language: English
• Published: Heidelberg Science Press 01.07.2014; Springer Nature B.V; Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871%Beijing Institute of Applied Meteorology,Beijing,100029
• Subjects: Aircraft; Atmospheric Sciences; China; Clouds; Droplets; Earth and Environmental Science; Earth Sciences; Geophysics/Geodesy; Meteorological aircraft; Meteorology; MODIS; Moisture content; Particle size; Particle size distribution; Retrieval; Vertical distribution; Water; Water content; 中分辨率成像光谱仪; 北京; 反演; 应用; 星云; 物理属性; 飞机观测; China, People's Rep., Beijing; CloudSat; a priori data; liquid water content; aircraft observations
• ISSN: 0256-1530; 1861-9533
• DOI: 10.1007/s00376-013-3156-2

Cloud microphysical property retrievals from the active microwave instrument on a satellite require the cloud droplet size distribution obtained from aircraft observations as a priori data in the iteration procedure.The cloud lognormal size distributions derived from 12 flights over Beijing,China,in 2008-09 were characterized to evaluate and improve regional CloudSat cloud water content retrievals.We present the distribution parameters of stratiform cloud droplet （diameter ＜500 tm and ＜1500 μm） and discuss the effect of large particles on distribution parameter fitting.Based on three retrieval schemes with different lognormal size distribution parameters,the vertical distribution of cloud liquid and ice water content were derived and then compared with the aircraft observations.The results showed that the liquid water content （LWC） retrievals from large particle size distributions were more consistent with the vertical distribution of cloud water content profiles derived from in situ data on 25 September 2006.We then applied two schemes with different a priori data derived from flight data to CloudSat overpasses in northern China during April-October in 2008 and 2009.The CloudSat cloud water path （CWP） retrievals were compared with Moderate Resolution Imaging Spectroradiometer （MODIS） liquid water path （LWP） data.The results indicated that considering a priori data including large particle size information can significantly improve the consistency between the CloudSat CWP and MODIS CWP.These results strongly suggest that it is necessary to consider particles with diameters greater than 50 tm in CloudSat LWC retrievals.