Characterization of Bias of Advanced Himawari Imager Infrared Observations from NWP Background Simulations Using CRTM and RTTOV

Zou, X.; Zhuge, X.; Weng, F.

doi:10.1175/jtech-d-16-0105.1

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Characterization of Bias of Advanced Himawari Imager Infrared Observations from NWP Background Simulations Using CRTM and RTTOV

2016
By Zou, X. ; Zhuge, X. ; Weng, F.
Source: Journal of Atmospheric and Oceanic Technology, 33(12), 2553-2567

[PDF-4.62 MB]

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Journal Title:

Journal of Atmospheric and Oceanic Technology
Personal Author:

Zou, X. ; Zhuge, X. ; Weng, F.

Zou, X. ; Zhuge, X. ; Weng, F. Less -
NOAA Program & Office:

NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research) ; GOES-R (Geostationary Operation Environmental Satellite-R Series) ; OAR (Oceanic and Atmospheric Research) ; NWS (National Weather Service)

NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research) ; GOES-R (Geostationary Operation Environmental Satellite-R Series) ; OAR (Oceanic and Atmospheric Research) ; NWS (National Weather Service) Less -
Description:

Starting in 2014, the new generation of Japanese geostationary meteorological satellites carries an Advanced Himawari Imager (AHI) to provide the observations of visible, near infrared, and infrared with much improved spatial and temporal resolutions. For applications of the AHI measurements in numerical weather prediction (NWP) data assimilation systems, the biases of the AHI brightness temperatures at channels 7–16 from the model simulations are first characterized and evaluated using both the Community Radiative Transfer Model (CRTM) and the Radiative Transfer for the TIROS Operational Vertical Sounder (RTTOV). It is found that AHI biases under a clear-sky atmosphere are independent of satellite zenith angle except for channel 7. The biases of three water vapor channels increase with scene brightness temperatures and are nearly constant except at high brightness temperatures for the remaining infrared channels.
Keywords:

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Data Quality Control Remote Sensing Satellite Observations
Source:

Journal of Atmospheric and Oceanic Technology, 33(12), 2553-2567
DOI:

https://doi.org/10.1175/jtech-d-16-0105.1
Document Type:

Journal Article
Funding:

Grant no. NA15NWS4680002 ; Grant no. NA11OAR4320199

Grant no. NA15NWS4680002 ; Grant no. NA11OAR4320199 Less -
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Submitted
Main Document Checksum:

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urn:sha256:7a5127e554004741a6eebd3d5c11498eae5297f49ad2085cfa767e451e383693
Download URL:

https://repository.library.noaa.gov/view/noaa/41107/noaa_41107_DS1.pdf
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Characterization of Bias of Advanced Himawari Imager Infrared Observations from NWP Background Simulations Using CRTM and RTTOV

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