Intercalibration of GOES-11 and GOES-12 water vapor channels with MetOp IASI hyperspectral measurements

Journal of Atmospheric and Oceanic Technology

Volumn 26, Issue 9, 2009, Pages 1843-1855

  Wang, Likun ^a   Cao, Changyong ^b   Goldberg, Mitch ^b  

^a Perot Systems Government Services   (United States)

^b OFFICE OF RESEARCH AND APPLICATIONS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BRIGHTNESS TEMPERATURES; BROADBAND RADIOMETER; CALIBRATION ACCURACY; CLIMATE STUDIES; DATA ASSIMILATION; DATA QUALITY; DESIGN SPECIFICATION; GEOSTATIONARY OPERATIONAL ENVIRONMENTAL SATELLITES; GLOBAL PRODUCTS; GOES IMAGERS; HYPERSPECTRAL; IMAGERS; INFRARED ATMOSPHERIC SOUNDING INTERFEROMETERS; INFRARED CHANNEL; INTERCALIBRATION; MONITORING SENSORS; NADIR OBSERVATIONS; OBSERVING SYSTEMS; ON-BOARD CALIBRATION; ON-ORBIT; POLAR-ORBITING; POLAR-ORBITING SATELLITES; RADIANCE MEASUREMENT; REFERENCE STANDARD; RELATIVE CALIBRATIONS; SPECTRAL RESPONSE FUNCTIONS; STANDARD DEVIATION; WATER VAPOR CHANNELS;

CALIBRATION; GEOSTATIONARY SATELLITES; IMAGE SENSORS; RADIOMETRY; TIME SERIES; WEATHER FORECASTING;

WATER VAPOR;

CALIBRATION; GOES; INTERFEROMETER; NADIR; RADIANCE; RADIOMETER; SENSOR; SPECTRAL ANALYSIS; WATER VAPOR;

EID: 73149116822     PISSN: 07390572     EISSN: None     Source Type: Journal    
DOI: 10.1175/2009JTECHA1233.1     Document Type: Article

References (32)

1. Berk, A., G. P. Anderson, P. K. Acharya, J. H. Chetwynd, L. S. Bernstein, E. P. Shettle, M. W. Matthew, and S. M. Adler-Golden, 2001: MODTRAN4 version 2 user's manual. Air Force Research Laboratory, 98 pp.
2. Blumstein, D., and Coauthors, 2004: IASI instrument: Technical overview and measured performances. Infrared Spaceborne Remote Sensing XII, M. Strojnik, Ed., International Society for Optical Engineering (SPIE Proceedings, Vol. 5543), 196-207
3. Blumstein, D, B. Tournier, F. R. Cayla, T. Phulpin, R. Fjortoft, C. Buil, and G. Ponce, 2007: In-flight performance of the infrared atmospheric sounding interferometer (IASI) on MetOp-A. Atmospheric and Environmental Remote Sensing Data Processing and Utilization III: Readiness for GEOSS, M. D. Goldberg et al., Eds., International Society for Optical Engineering (SPIE Proceedings, Vol. 6684), 66840H, doi:10.1117/12.734162
4. Bréon, F.-M., D. L. Jackson, and J. J. Bates, 2000: Calibration of the Meteosat water vapor channel using collocated NOAA/ HIRS 12 measurements. J. Geophys. Res., 105, 11 925-11 933
5. Cao, C., H. Xu, J. Sullivan, L. McMillin, P. Ciren, and Y.-T. Hou, 2005: Intersatellite radiance biases for the High-Resolution Infrared Radiation Sounders (HIRS) on board NOAA-15, -16, and -17 from simultaneous nadir observations. J. Atmos. Oceanic Technol., 22, 381-395.
6. Clough, S. A., F. X. Kneizys, L. S. Rothman, and W. O. Gallery, 1981: Atmospheric spectral transmittance and radiance: FAS-COD1B. Atmospheric transmission, International Society for Optical Engineering (SPIE Proceedings, Vol. 277), 152-166.
7. Desbiens, R., J. Genest, and P. Tremblay, 2002: Radiometry in line-shape modeling of Fourier-transform spectrometers. Appl. Opt., 41, 1424-1432.
8. Garand, L., and J. Hallé, 1997: Assimilation of clear- and cloudy-sky upper-tropospheric humidity estimates using GOES-8 and GOES-9 data. J. Atmos. Oceanic Technol., 14, 1036-1054
9. Gunshor, M. M., T. J. Schmit, and W. P. Menzel, 2004: Intercalibration of the infrared window and water vapor channels on operational geostationary environmental satellites using a single polar-orbiting satellite. J. Atmos. Oceanic Technol., 21, 61-68
10. Gunshor, M. M., T. J. Schmit, and W. P. Menzel, and D. C. Tobin, 2009: Intercalibration of broadband geostationary imagers using AIRS. J. Atmos. Oceanic Technol., 26, 746-758.
11. Held, I. M., and B. J. Soden, 2000: Water vapor feedback and global warming. Annu. Rev. Energy Environ., 25, 441-475.
12. Jedlovec, G. J., J. A. Lerner, and R. J. Atkinson, 2000: A satellite-derived upper-tropospheric water vapor transport index for climate studies. J. Appl. Meteor., 39, 15-41.
13. Joyce, R., J. Janowiak, and G. Huffman, 2001: Latitudinally and seasonally dependent zenith-angle corrections for geo-stationary satellite IR brightness temperatures. J. Appl. Meteor., 40, 689-703.
14. Knapp, K., 2008: Calibration assessment of ISCCP geostationary infrared observations using HIRS. J. Atmos. Oceanic Technol., 25, 183-195.
15. Larar, A. M., and Coauthors, 2008: The Joint Airborne IASI Validation Experiment (JAIVEx) and select contributions from NAST-I. Preprints, Fourth Symp. on Future National Operational Environmental Satellites, New Orleans, LA, Amer. Meteor. Soc., P1.17.
16. Menzel, W. P., and J. F. Purdom, 1994: Introducing GOES-I: The first of a new generation of geostationary operational environmental satellites. Bull. Amer. Meteor. Soc., 75, 757-781.
17. Schmit, T. J., E. M. Prins, A. J. Schreiner, and J. J. Gurka, 2001: Introducing the GOES-M imager. Natl. Wea. Dig., 25, 28-37.
18. Soden, B. J., and F. P. Bretherton, 1993: Upper tropospheric humidity from the GOES 6.7 mm channel: Method and climatology for July 1987. J. Geophys. Res., 98, 16 669-16 688.
19. Sohn, B. J., J. Schmetz, S. Tjemkes, M. Koenig, H. Lutz, A. Arriaga, and E. S. Chung, 2000: Intercalibration of the Meteosat-7 water vapor channel with SSM/T-2. J. Geophys. Res., 105, 15 673-15 680.
20. Sohn, B. J., J. Schmetz, and E.-S. Chung, 2008: Moistening processes in the tropical upper troposphere observed from Meteosat measurements. J. Geophys. Res., 113, D13109, doi:10.1029/ 2007JD009527.
21. Space Systems Loral, 1996: GOES I-M DataBook. Space Systems Loral Tech. Rep. DRL-101-08, 196 pp.
22. Strow, L. L., S. Hannon, M. Weiler, K. Overoye, S. L. Gaiser, and H. H. Aumann, 2003: Prelaunch spectral calibration of the Atmospheric Infrared Sounder (AIRS). IEEE Trans. Geosci. Remote Sens., 41, 274-286.
23. Su, H., W. G. Read, J. H. Jiang, J. W. Waters, D. L. Wu, and E. J. Fetzer, 2006: Enhanced positive water vapor feedback associated with tropical deep convection: New evidence from Aura MLS. Geophys. Res. Lett., 33, L05709, doi:10.1029/ 2005GL025505.
24. Tian, B., B. J. Soden, and X. Wu, 2004: Diurnal cycle of convection, clouds, and water vapor in the tropical upper troposphere: Satellites versus a general circulation model. J. Geophys. Res., 109, D10101, doi:10.1029/2003JD004117.
25. Tobin, D. C., H. E. Revercomb, C. C. Moeller, and T. Pagano, 2006: Use of Atmospheric Infrared Sounder high-spectral resolution spectra to assess the calibration of Moderate resolution Imaging Spectroradiometer on EOS Aqua. J. Geophys. Res., 111, D09S05, doi:10.1029/2005JD006095.
26. Tobin, D. C, and Coauthors, 2007: Radiometric and spectral validation of Infrared Atmospheric Sounding Interferometer (IASI) observations. 2007 Conf. on Characterization and Radiometric Calibration for Remote Sensing, Logan, UT Space Dynamics Laboratory.
27. Tournier, B., D. Blumstein, F.-R. Cayla, and G. Chalon, 2002: IASI level 0 and 1 processing algorithms description. Proc. Twelfth Int. TOVS Study Conf., Victoria, Australia, International TOVS Working Group, 12 pp. [Available online at http://cimss.ssec. wisc.edu/itwg/itsc/itsc12/presentations/6d5_B.Tournier.doc]
28. Wang, L., and C. Cao, 2008: On-orbit calibration assessment of AVHRR longwave channels on MetOp-A using IASI. IEEE Trans. Geosci. Remote Sens., 46, 4005-4013.
29. Wang, L., and C. Cao, and P. Ciren, 2007: Assessing NOAA-16 HIRS radiance accuracy using simultaneous nadir overpass observations from AIRS. J. Atmos. Oceanic Technol., 24, 1546-1561.
30. Weinreb, M. P., M. Jamison, N. Fulton, Y. Chen, J. X. Johnson, J. Bremer, C. Smith, and J. Baucom, 1997: Operational calibration of Geostationary Operational Environmental Satellite-8 and -9 imagers and sounders. Appl. Opt., 36, 6895-6904.
31. Weng, F., 2007: Advances in radiative transfer modeling in support of satellite data assimilation. J. Atmos. Sci., 64, 3799-3807.
32. Wimmers,A.J.,andJ.L.Moody, 2001:Afixed-layerestimationof upper tropospheric specific humidity from the GOES water vapor channel: Parameterization and validation of the altered brightness temperature product. J. Geophys. Res., 106, 17 115-17 132.