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Online Visualization and Analysis of Global Half-Hourly Infrared Satellite Datanfrared (IR) images (approximately 11-micron channel) recorded by satellite sensors have been widely used in weather forecasting, research, and classroom education since the Nimbus program. Unlike visible images, IR imagery can reveal cloud features without sunlight illumination; therefore, they can be used to monitor weather phenomena day and night. With geostationary satellites deployed around the globe, it is possible to monitor weather events 24/7 at a temporal resolution that polar-orbiting satellites cannot achieve at the present time. When IR data from multiple geostationary satellites are merged to form a single product--also known as a merged product--it allows for observing weather on a global scale. Its high temporal resolution (e.g., every half hour) also makes it an ideal ancillary dataset for supporting other satellite missions, such as the Tropical Rainfall Measuring Mission (TRMM), etc., by providing additional background information about weather system evolution.
Document ID
Document Type
Reprint (Version printed in journal)
External Source(s)
Liu, Zhong (George Mason Univ. Fairfax, VA, United States)
Ostrenga, Dana (ADNET Systems, Inc. Potomac, MD, United States)
Leptoukh, Gregory (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Date Acquired
August 25, 2013
Publication Date
April 1, 2011
Publication Information
Publication: American Meteorological Society
Volume: 92
Issue: 4
Subject Category
Meteorology and Climatology
Report/Patent Number
Funding Number(s)
Distribution Limits