Journal
REMOTE SENSING OF ENVIRONMENT
Volume 227, Issue -, Pages 1-11Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.rse.2019.02.024
Keywords
VIIRS; Multilayer clouds; Radiometer; Shortwave infrared; Longwave infrared
Funding
- National Key Research and Development Program of China [2018YFC1506502]
- National Natural Science Foundation of China [41571348, 41771395]
- Young Elite Scientists Sponsorship Program by CAST [2017QNRC001]
- Six Talent Peaks Project in Jiangsu Province [2017-JY-053]
- Open Project Fund of Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, NSMC/CMA
Ask authors/readers for more resources
A new multilayer (ML) cloud detection algorithm based on three shortwave infrared (SWIR) and two longwave infrared (LWIR) channels is developed and applied to the Visible Infrared Imager Radiometer Suite (VIIRS) onboard the Suomi-NPP satellite. The algorithm identifies ML clouds, i.e., ice clouds overlying water clouds, based on satellite multispectral observations in the 1.38, 1.6, 2.25, 8.5, and 11 pm channels. We perform synthetic radiative transfer simulations to understand the sensitivities of the aforementioned channels on ML and single-layer (SL) clouds. Active CALIOP observations are used to evaluate the algorithm. Compared with the collocated CALIOP results, the algorithm can determine SL and ML clouds correctly with success rates of approximately 80% and 60%, respectively, and has similar performance to that of the current MODIS operational ML cloud detection algorithm. The misclassification of ML clouds as SL clouds is primarily caused by thin ice clouds that are practically undetectable using LWIR tests. Furthermore, the algorithm is extended to analyze data from radiometers onboard the geostationary Himawari-8 and FengYun-4A satellites, and results similar to those of VIIRS are obtained.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available