Effect of Out-of-Band Response in NOAA-16 AVHRR Channel 3b on Top-of-Atmosphere Radiances Calculated with the Community Radiative Transfer Model

Quanhua Liu Joint Center for Satellite Data Assimilation, and Perot Government Systems, Camp Springs, Maryland

Search for other papers by Quanhua Liu in
Current site
Google Scholar
PubMed
Close
,
Xingming Liang NOAA/NESDIS Center for Applications and Research, Camp Springs, Maryland, and Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, Colorado

Search for other papers by Xingming Liang in
Current site
Google Scholar
PubMed
Close
,
Yong Han Joint Center for Satellite Data Assimilation, and NOAA/NESDIS Center for Applications and Research, Camp Springs, Maryland

Search for other papers by Yong Han in
Current site
Google Scholar
PubMed
Close
,
Paul van Delst Joint Center for Satellite Data Assimilation, Camp Springs, Maryland

Search for other papers by Paul van Delst in
Current site
Google Scholar
PubMed
Close
,
Yong Chen Joint Center for Satellite Data Assimilation, Camp Springs, Maryland, and Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, Colorado

Search for other papers by Yong Chen in
Current site
Google Scholar
PubMed
Close
,
Alexander Ignatov NOAA/NESDIS Center for Applications and Research, Camp Springs, Maryland

Search for other papers by Alexander Ignatov in
Current site
Google Scholar
PubMed
Close
, and
Fuzhong Weng NOAA/NESDIS Center for Applications and Research, Camp Springs, Maryland

Search for other papers by Fuzhong Weng in
Current site
Google Scholar
PubMed
Close
Restricted access

Abstract

The Community Radiative Transfer Model (CRTM) developed at the Joint Center for Satellite Data Assimilation (JCSDA) is used in conjunction with a daily sea surface temperature (SST) and the National Centers for Environmental Prediction (NCEP) Global Forecast System (GFS) atmospheric data and surface wind to calculate clear-sky top-of-atmosphere (TOA) brightness temperatures (BTs) in three Advanced Very High Resolution Radiometer (AVHRR) thermal infrared channels over global oceans. CRTM calculations are routinely performed by the sea surface temperature team for four AVHRR instruments on board the National Oceanic and Atmospheric Administration (NOAA) satellites NOAA-16, NOAA-17, and NOAA-18 and the Meteorological Operation (MetOp) satellite MetOp-A, and they are compared with clear-sky TOA BTs produced by the operational AVHRR Clear-Sky Processor for Oceans (ACSPO). It was observed that the model minus observation (M−O) bias in the NOAA-16 AVHRR channel 3b (Ch3b) centered at 3.7 μm experienced a discontinuity of ∼0.3 K when a new CRTM version 1.1 (v.1.1) was implemented in ACSPO processing in September 2008. No anomalies occurred in any other AVHRR channel or for any other platform. This study shows that this discontinuity is caused by the out-of-band response in NOAA-16 AVHRR Ch3b and by using a single layer to the NCEP GFS temperature profiles above 10 hPa for the alpha version of CRTM. The problem has been solved in CRTM v.1.1, which uses one of the six standard atmospheres to fill in the missing data above the top pressure level in the input NCEP GFS data. It is found that, because of the out-of-band response, the NOAA-16 AVHRR Ch3b has sensitivity to atmospheric temperature at high altitudes. This analysis also helped to resolve another anomaly in the absorption bands of the High Resolution Infrared Radiation Sounder (HIRS) sensor, whose radiances and Jacobians were affected to a much greater extent by this CRTM inconsistency.

Corresponding author address: Quanhua Liu, Joint Center for Satellite Data Assimilation, 5200 Auth Road, Room 7042, Camp Springs, MD 20746. Email: quanhua.liu@noaa.gov

Abstract

The Community Radiative Transfer Model (CRTM) developed at the Joint Center for Satellite Data Assimilation (JCSDA) is used in conjunction with a daily sea surface temperature (SST) and the National Centers for Environmental Prediction (NCEP) Global Forecast System (GFS) atmospheric data and surface wind to calculate clear-sky top-of-atmosphere (TOA) brightness temperatures (BTs) in three Advanced Very High Resolution Radiometer (AVHRR) thermal infrared channels over global oceans. CRTM calculations are routinely performed by the sea surface temperature team for four AVHRR instruments on board the National Oceanic and Atmospheric Administration (NOAA) satellites NOAA-16, NOAA-17, and NOAA-18 and the Meteorological Operation (MetOp) satellite MetOp-A, and they are compared with clear-sky TOA BTs produced by the operational AVHRR Clear-Sky Processor for Oceans (ACSPO). It was observed that the model minus observation (M−O) bias in the NOAA-16 AVHRR channel 3b (Ch3b) centered at 3.7 μm experienced a discontinuity of ∼0.3 K when a new CRTM version 1.1 (v.1.1) was implemented in ACSPO processing in September 2008. No anomalies occurred in any other AVHRR channel or for any other platform. This study shows that this discontinuity is caused by the out-of-band response in NOAA-16 AVHRR Ch3b and by using a single layer to the NCEP GFS temperature profiles above 10 hPa for the alpha version of CRTM. The problem has been solved in CRTM v.1.1, which uses one of the six standard atmospheres to fill in the missing data above the top pressure level in the input NCEP GFS data. It is found that, because of the out-of-band response, the NOAA-16 AVHRR Ch3b has sensitivity to atmospheric temperature at high altitudes. This analysis also helped to resolve another anomaly in the absorption bands of the High Resolution Infrared Radiation Sounder (HIRS) sensor, whose radiances and Jacobians were affected to a much greater extent by this CRTM inconsistency.

Corresponding author address: Quanhua Liu, Joint Center for Satellite Data Assimilation, 5200 Auth Road, Room 7042, Camp Springs, MD 20746. Email: quanhua.liu@noaa.gov

Save
  • Cao, C., Weinreb M. , and Sullivan J. , 2001: Solar contamination effects on the infrared channels of AVHRR. J. Geophys. Res., 106 , 3346333470.

  • Cao, C., Weinreb M. , and Xu H. , 2004: Predicting simultaneous nadir overpasses among polar-orbiting meteorological satellite for the intersatellite calibration of radiometers. J. Atmos. Oceanic Technol., 21 , 537542.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Dash, P., and Ignatov A. , 2008: Validation of clear-sky radiances over oceans simulated with MODTRAN4.2 and global NCEP GDAS fields against nighttime NOAA15-18 and MetOp-A AVHRR data. Remote Sens. Environ., 112 , 30123029.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Donlon, C. J., Minnett P. J. , Gentemann T. J. , Barton I. J. , Ward B. , and Murray M. J. , 2002: Toward improved validation of satellite surface skin temperature measurements for climate research. J. Climate, 15 , 353369.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Han, Y., van Delst P. , Liu Q. , Weng F. , Yan B. , Treadon R. , and Derber J. , 2006: Community Radiative Transfer Model (CRTM)—Version 1. NOAA/NESDIS Tech. Rep., 122 pp.

    • Search Google Scholar
    • Export Citation
  • Liang, X-M., Ignatov A. , and Kihai Y. , 2009a: Implementation of the Community Radiative Transfer Model in Advanced AVHRR Clear-Sky Processor for Oceans and validation against nighttime AVHRR radiances. J. Geophys. Res., 106 , D06112. doi:10.1029/2008JD010960.

    • Search Google Scholar
    • Export Citation
  • Liang, X-M., Ignatov A. , Kihai Y. , and Xu F. , 2009b: Monitoring of IR Clear-sky Radiances over Oceans for SST (MICROS): Near-real time, Web-based tool to monitor CRTM–AVHRR biases for improved cloud mask and SST retrievals. Preprints, 16th Conf. on Satellite Meteorology and Oceanography, Phoenix, AZ, Amer. Meteor. Soc., JP5.3. [Available online at http://ams.confex.com/ams/pdfpapers/143875.pdf].

    • Search Google Scholar
    • Export Citation
  • Liou, K. N., 1992: Radiation and Cloud Processes in the Atmosphere. Oxford University Press, 487 pp.

  • Liu, Q., and Weng F. , 2006: Advanced doubling–adding method for radiative transfer in planetary atmosphere. J. Atmos. Sci., 63 , 34593465.

  • Reynolds, R. W., Smith T. M. , Liu C. , Chelton D. B. , Casey K. S. , and Schlax M. G. , 2007: Daily high-resolution blended analyses for sea surface temperature. J. Climate, 20 , 54735496.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Rothman, L. S., and Coauthors, 2005: The HITRAN 2004 molecular spectroscopic database. J. Quant. Spectrosc. Radiat. Transfer, 96 , 139204.

All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 141 75 3
PDF Downloads 60 21 2