Gazing at cirrus clouds for 25 years through a split window. Part I: Methodology

Journal of Applied Meteorology and Climatology

Volumn 48, Issue 6, 2009, Pages 1100-1116

  Heidinger, Andrew K ^a   Pavolonis, Michael J ^a  

^a NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AEROSOL LIDARS; CIRRUS CLOUDS; CLOUD CLIMATOLOGY; CLOUD EMISSIVITY; CLOUD MICROPHYSICS; CLOUD PRODUCTS; CLOUD PROPERTIES; CLOUD TEMPERATURE; CLOUD-AEROSOL LIDAR; ICE CLOUDS; IMAGERS; OBJECTIVE ASSESSMENT; OPTIMAL ESTIMATIONS; ORTHOGONAL POLARIZATIONS; SPACE LIDAR; SPLIT WINDOWS; SPLIT-WINDOW METHOD;

ATMOSPHERIC AEROSOLS; CLIMATOLOGY; CLOUDS; ELECTROMAGNETIC WAVE EMISSION; ESTIMATION; OPTICAL RADAR; OPTIMIZATION;

WINDOWS;

AVHRR; CIRRUS; CLOUD MICROPHYSICS; EMISSIVITY; ESTIMATION METHOD; OBSERVATIONAL METHOD; SATELLITE IMAGERY; SPLIT WINDOW;

EID: 67651248255     PISSN: 15588424     EISSN: None     Source Type: Journal    
DOI: 10.1175/2008JAMC1882.1     Document Type: Article

References (26)

1. Baum, B. A., A. J. Heymsfield, P. Yang, and S. T. Bedka, 2005: Bulk scattering properties for the remote sensing of ice clouds. Part I: Microphysical data and models. J. Appl. Meteor., 44, 1885-1895.
2. Cooper, S. J., T. S. L'Ecuyer, and G. L. Stephens, 2003: The impact of explicit cloud boundary information on ice cloud microphysical property retrievals from infrared radiances. J. Geophys. Res., 108, 4107, doi:10.1029/2002JD002611.
3. Duda, D. P., and J. D. Spinhirne, 1996: Split-window retrieval of particle size and optical depth in contrails located above horizontally inhomogeneous ice clouds. Geophys. Res. Lett., 23, 3711-3714.
4. Eleftheratos, K., C. S. Zerefos, P. Zanis, D. S. Balis, G. Tselioudis, K. Gierens, and R. Sausen, 2007: A study on natural and manmade global interannual fluctuations of cirrus cloud cover for the period 1984-2004. Atmos. Chem. Phys., 7, 2631-2642.
5. Giraud, V., J. C. Buriez, Y. Fouquart, F. Parol, and G. Seze, 1997: Large-scale analysis of cirrus clouds from AVHRR data: Assessment of both a microphysical index and the cloud-top temperature. J. Appl. Meteor., 36, 664-675.
6. Heidinger, A. K., 2003: Rapid daytime estimation of cloud properties over a large area from radiance distributions. J. Atmos. Oceanic Technol., 20, 1237-1250.
7. 2 A band. J. Atmos. Sci., 57, 1615-1634.
8. Inoue, T., 1985: On the temperature and effective emissivity determination of semi-transparent cirrus clouds by bispectral measurements in the 10 micron window region. J. Meteor. Soc. Japan, 63, 88-99.
9. Jacobowitz, H., L. L. Stowe, G. Ohring, A. Heidinger, K. Knapp, and N. R. Nalli, 2003: The Advanced Very High Resolution Radiometer Pathfinder Atmosphere (PATMOS) climate dataset: A resource for climate research. Bull. Amer. Meteor. Soc., 84, 785-793.
10. Kalnay, E., and Coauthors, 1996: The NCEP/NCAR 40-Year Reanalysis Project. Bull. Amer. Meteor. Soc., 77, 437-471.
11. Li, J., W. Wolf, W. P. Menzel, P. F. van Delst, H. M. Woolf, T. H. Achtor, and A. H. Huang, 1998: International ATOVS processing package: Algorithm design and its preliminary performance. Optical Remote Sensing of the Atmosphere and Clouds, J. Wang et al., Eds., (SPIE Proceedings, Vol. 3501), 196-206.
12. Marks, C. J., and C. D. Rodgers, 1993: A retrieval method for atmospheric composition from limb emission measurements. J. Geophys. Res., 98, 14 939-14 953.
13. Menzel, W. P., and Coauthors, 2008: MODIS global cloud-top pressure and amount estimation: Algorithm description and results. J. Appl. Meteor. Climatol., 47, 1175-1198.
14. Miller, S. D., G. L. Stephens, C. K. Drummond, A. K. Heidinger, and P. T. Partain, 2000: A multisensor diagnostic satellite cloud property retrieval scheme. J. Geophys. Res., 105, 19 955-19 972.
15. Nieman, S. J., J. Schmetz, and W. P. Menzel, 1993: A comparison of several techniques to assign heights to cloud tracers. J. Appl. Meteor., 32, 1559-1568.
16. Parol, F., J. C. Buriez, G. Brogniez, and Y. Fouquart, 1991: Information content of AVHRR channels 4 and 5 with respect to the effective radius of cirrus cloud particles. J. Appl. Meteor., 30, 973-984.
17. Pavolonis, M. J., A. K. Heidinger, and T. Uttal, 2005: Daytime global cloud typing from AVHRR and VIIRS: Algorithm description, validation, and comparisons. J. Appl. Meteor., 44, 804-826.
18. Platnick, S., M. D. King, S. A. Ackerman, W. P. Menzel, B. A. Baum, J. C. Riedi, and R. A. Frey, 2003: The MODIS cloud products: Algorithms and examples from Terra. IEEE Trans. Geosci. Remote Sens., 41, 459-473.
19. Rodgers, C. D., 1976: Retrieval of atmospheric temperature and composition from remote measurements of thermal radiation. Rev. Geophys., 14, 609-624.
20. Rossow, W. B., and R. A. Schiffer, 1999: Advances in understanding clouds from ISCCP. Bull. Amer. Meteor. Soc., 80, 2261-2288.
21. Schwalb, A., 1982: The TIROS-N/NOAA A-G satellite series. NOAA Tech. Memo. NESS 95, 75 pp.
22. Seemann, S. W., E. E. Borbas, R. O. Knuteson, G. R. Stephenson, and H.-L. Huang, 2008: Development of a global infrared land surface emissivity database for application to clear-sky sounding retrievals from multispectral satellite radiance measurements. J. Appl. Meteor. Climatol., 47, 108-123.
23. Stowe, L. L., H. Jacobowitz, G. Ohring, K. R. Knapp, and N. R. Nalli, 2002: The Advanced Very High Resolution Radiometer (AVHRR) Pathfinder Atmosphere (PATMOS) climate dataset: Initial analyses and evaluations. J. Climate, 15, 1243-1260.
24. Travis, D. J., A. M. Carleton, and S. A. Changnon, 1997: An empirical model to predict widespread occurrences of contrails. J. Appl. Meteor., 36, 1211-1220.
25. Vaughan, M. A., S. A. Young, D. M. Winker, K. A. Powell, A. H. Omar, Z. Liu, Y. Hu, and C. A. Hostetler, 2004: Fully automated analysis of space-based lidar data: An overview of the CALIPSO retrieval algorithms and data products. Laser Radar Techniques for Atmospheric Sensing, U. N. Singh, Ed., (SPIE Proceedings, Vol. 5575), 16-30.
26. Zhang, M. H., and Coauthors, 2005: Comparing clouds and their seasonal variations in 10 atmospheric general circulation models with satellite measurements. J. Geophys. Res., 110, D15S02, doi:10.1029/ 2004JD005021.