NDLI: Ice cloud detection from AMSU-A, MHS, and HIRS satellite instruments inferred by cloud profiling radar

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Ice cloud detection from AMSU-A, MHS, and HIRS satellite instruments inferred by cloud profiling radar

Content Provider	Semantic Scholar
Author	Islam, Tanvir Srivastava, Prashant K. Dai, Qiang Gupta, Manika
Copyright Year	2014
Abstract	An algorithm for ice cloud detection aided by support vector machine (AID-SVM) is presented. The AID-SVM algorithm is applied and tested for the Advanced Microwave Sounding Unit-A, microwave humidity sounder (MHS), and high resolution infrared radiation sounder (HIRS) instruments onboard NOAA-19 satellite. The algorithm is based on satellite brightness temperature measurements and developed as well as validated by using collocated ice/no-ice cloud information acquired from the CloudSat cloud-profiling radar. The algorithm is tested over both ocean and land surfaces. Overall, the results exhibit very promising potential to acquire ice/no-ice cloud information using the passive satellite sensors. It is found that infrared satellite sensor such as HIRS is more efficient in detecting ice clouds than the counterpart microwave satellite sensors. Furthermore, the combined measurements using microwave/infrared synergy perform no better than the infrared-only measurements.
Starting Page	1012
Ending Page	1021
Page Count	10
File Format	PDF HTM / HTML
DOI	10.1080/2150704X.2014.990643
Volume Number	5
Alternate Webpage(s)	http://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=1174&context=nasapub
Alternate Webpage(s)	https://doi.org/10.1080/2150704X.2014.990643
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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