An Objective Quality Control of Surface Contamination Observations for ABI Water Vapor Radiance Assimilation

Li, Zhenglong; Ma, Zheng; Wang, Pei; Lim, Agnes H. N.; Li, Jun; Jung, James A.; Schmit, Timothy J.; Huang, Hung‐Lung

doi:10.1029/2021jd036061

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i

An Objective Quality Control of Surface Contamination Observations for ABI Water Vapor Radiance Assimilation

2022
By Li, Zhenglong ; Ma, Zheng ; Wang, Pei ; ...
Source: Journal of Geophysical Research: Atmospheres, 127(15)

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Journal Title:

Journal of Geophysical Research: Atmospheres
Personal Author:

Li, Zhenglong ; Ma, Zheng ; Wang, Pei ; Lim, Agnes H. N. ; Li, Jun ; ... More +

Li, Zhenglong ; Ma, Zheng ; Wang, Pei ; Lim, Agnes H. N. ; Li, Jun ; Jung, James A. ; Schmit, Timothy J. ; Huang, Hung‐Lung Less -
NOAA Program & Office:

NESDIS (National Environmental Satellite, Data, and Information Service) ; CIMSS (Cooperative Institute for Meteorological Satellite Studies) ; STAR (Center for Satellite Applications and Research)

NESDIS (National Environmental Satellite, Data, and Information Service) ; CIMSS (Cooperative Institute for Meteorological Satellite Studies) ; STAR (Center for Satellite Applications and Research) Less -
Description:

A quality control (QC) process which handles surface impacts is an important step toward successful assimilation of the Advanced Baseline Imager (ABI) water vapor (WV) band radiances. If the QC is too relaxed, many surface contaminated radiances get assimilated. If the QC is too stringent, useful radiances are rejected. Either way can result in reduced or even compromised observation impacts. A new machine learning-based QC scheme for the three ABI WV bands is developed and optimized to help understand the importance and effectiveness of the scheme. Unlike previous schemes which are dependent on the background, this scheme extracts and blends the surface information from 7 ABI bands (bands 8–10, 13–16) to determine
Keywords:

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Atmospheric Science Earth And Planetary Sciences (miscellaneous) Geophysics Space And Planetary Science
Source:

Journal of Geophysical Research: Atmospheres, 127(15)
DOI:

https://doi.org/10.1029/2021jd036061
ISSN:

2169-897X;2169-8996;
Format:

PDF
Publisher:

American Geophysical Union (AGU)
Document Type:

Journal Article
Funding:

Grant no. NA20NES4320003
License:

https://creativecommons.org/licenses/by-nc-nd/4.0/
Rights Information:

CC BY-NC-ND
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Library
Main Document Checksum:

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urn:sha256:13c4465fcc1d805e8f4804c1525036341ab4ef07cf5ba71a1e544a5e0c9aba02
Download URL:

https://repository.library.noaa.gov/view/noaa/53899/noaa_53899_DS1.pdf
File Type:

Machine readable version (XML)

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