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A Methodology to Adjust ATMS Observations for Limb Effect and Its Applications
Author(s) -
Zhang Kexin,
Zhou Lihang,
Goldberg Mitch,
Liu Xingpin,
Wolf Walter,
Tan Changyi,
Liu Quanhua
Publication year - 2017
Publication title -
journal of geophysical research: atmospheres
Language(s) - English
Resource type - Journals
eISSN - 2169-8996
pISSN - 2169-897X
DOI - 10.1002/2017jd026820
Subject(s) - advanced microwave sounding unit , nadir , depth sounding , remote sensing , satellite , environmental science , meteorology , computer science , geology , geography , engineering , aerospace engineering , oceanography
The Advanced Technology Microwave Sounders (ATMS), carried on the Suomi National Polar‐orbiting Partnership (SNPP) satellite, was launched on 28 October 2011. The ATMS is a follow‐on instrument to advanced microwave sounding unit (AMSU), currently flying on National Oceanic and Atmospheric Administration (NOAA) satellites. The primary new ATMS features are a reduced hardware package and improved gap coverage. One thing in common about cross‐track sounders is a scan perpendicular to the motion of the satellite, allowing a broad swath of measurements to be taken. But an undesirable feature is that the measurements vary with scan angle because of changes in the optical pathlength through the Earth's atmosphere between the Earth and the satellite. One approach to this problem is to limb adjust the measurements to a fixed view angle. The limb correction algorithm applied to ATMS is based on the heritage methodology originally applied to MSU and later to AMSU. The limb correction method is applied to each of the 96 ATMS field of view (FOV) per scan line, adjusting the off‐nadir FOV to the nadir view with fitting error generally within the instrumental noise. The limb‐adjusted brightness temperature were used in the original, legacy TIROS Operational Vertical Sounder, and Advanced TIROS Operational Vertical Sounder NOAA sounding product algorithms and more recently to derive the total precipitation water (TPW) retrieval over ocean, with a bias of 0.046 mm and a standard deviation of 3.43 mm, when compared with European Centre for Medium‐Range Weather Forecasts TPW data. The limb‐corrected brightness temperature can be used to detect the atmospheric weather features, such as the warm cores for tropical cyclones, and the imagery presents snapshots for quick weather signal diagnosis.