Cloud detection and classification based on MAX-DOAS observations

In that paper, several cloud fields with the same stochastic properties as real clouds are generated assuming variable cloud tops, vertical profile of water droplet, mixed phase,

Thus, by incorporating co-occurrence information of di ff erent cloud types on a global scale based on Radar-Lidar cloud classification into the overlap assumption schemes used in

Based on 8 years of (January 2008– December 2015) cloud phase information from the GCM-Oriented Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Cloud

The first initial cloud detection test is applied over only bright pixels where a high 0.6 µm reflectance threshold of 60 % is used to detect clouds which ensures that clear sky

National cloud framework (NCF) , based on the cloud computing framework, is the idea of a cloud that is completely owned and managed by the government of a

Ishida and Nakajima (2009) proposed an unbiased cloud detection scheme based on a neutral concept to restructure the final confidence flags of the MODIS cloud mask algorithm (MOD35)

If cirrus clouds lead to a warming or cooling thus depends on their macrophysical properties such as the optical thickness of the cloud which is determined by microphysical

AVHRR measurements from NOAA-17, NOAA-18 and MetOp-A are utilized to generate daily and monthly means of several cloud parameters for Europe and the Inner Arctic: Cloud fraction,