Title :

Cloud thermodynamic phase detection using a directional polarimetric camera (DPC)

Author(s) :

Shang, Huazhe [Auteur]
Aerospace Information Research Institute [AIRICAS]
Laboratoire d’Optique Atmosphérique - UMR 8518 [LOA]
Letu, Husi [Auteur]
Aerospace Information Research Institute [AIRICAS]
Chen, Liangfu [Auteur]
Aerospace Information Research Institute [AIRICAS]
Riedi, Jerome [Auteur]
interaction Clouds Aerosols Radiations - ICARE/AERIS Data and Services Center - UMS 2877 [ICARE]
Laboratoire d’Optique Atmosphérique - UMR 8518 [LOA]
Ma, Run [Auteur]
Aerospace Information Research Institute [AIRICAS]
Wei, Lesi [Auteur]
Aerospace Information Research Institute [AIRICAS]
Labonnote, Laurent C. [Auteur]
Laboratoire d’Optique Atmosphérique - UMR 8518 [LOA]
Hioki, Souichiro [Auteur]
Laboratoire d’Optique Atmosphérique - UMR 8518 [LOA]
Liu, Chao [Auteur]
Nanjing University of Information Science and Technology [NUIST]
Wang, Zhongting [Auteur]
Ministry of Environmental Protection of the People's Republic of China [MEP]
Wang, Jianjie [Auteur]
Ningbo Research Institute, State Key Laboratory of Modern Optical Instrumentation

Journal title :

Journal of Quantitative Spectroscopy and Radiative Transfer

Abbreviated title :

J. Quant. Spectrosc. Radiat. Transf.

Volume number :

253

Pages :

-

Publication date :

2021-03-10

ISSN :

0022-4073

HAL domain(s) :

Planète et Univers [physics]/Océan, Atmosphère

English abstract : [en]

Cloud phase detection via satellites is essential in the accurate estimation of cloud radiative forcing at global and regional scales. The difference in polarized reflectance features between liquid and ice clouds can be ...
Show more >Cloud phase detection via satellites is essential in the accurate estimation of cloud radiative forcing at global and regional scales. The difference in polarized reflectance features between liquid and ice clouds can be used for detecting the cloud phase. The directional polarimetric camera (DPC) onboard the Chinese GaoFen-5 satellite was launched in May 2018. The multidirectional, multispectral, and multipolarization capabilities of the DPC provide essential measurements to better understand the distribution of clouds and their physical properties. Numerous studies have demonstrated that the angular polarization signatures of ice crystals and liquid cloud droplets are effective in the detection of liquid and ice clouds. This study uses cloud phase profiles from Cloud Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) to select reliable liquid and ice cloud pixels via the DPC and analyzes the angular polarization signatures of ice and cloud clouds. These extracted angular polarization signatures are compared with the simulated results. Then, based on the earlier POLDER cloud phase algorithm, we propose a cloud phase detection method (P-CP) for DPC using multiple tests developed based on the extracted angular polarization signatures. Finally, P-CP algorithm is applied to the measurements of DPC and POLDER on 1 June 2008, and the analysis indicates that our cloud phase detection results agree well with the MODIS and POLDER cloud phase products.Show less >

Language :

Anglais

Audience :

Internationale

Popular science :

Non

Administrative institution(s) :

Université de Lille
CNRS

Collections :

• Laboratoire d'Optique Atmosphérique (LOA) - UMR 8518

Submission date :

2024-01-16T22:15:36Z
2024-02-08T09:34:14Z