Dual-regression retrieval algorithm for real-time processing of satellite ultraspectral radiances

Journal of Applied Meteorology and Climatology

Volumn 51, Issue 8, 2012, Pages 1455-1476

  Smith, William L ^a,b   Weisz, Elisabeth ^a   Kireev, Stanislav V ^b   Zhou, Daniel K ^c   Li, Zhenglong ^a   Borbas, Eva E ^a  

^a UNIVERSITY OF WISCONSIN MADISON   (United States)

^b HAMPTON UNIVERSITY   (United States)

^c NASA LANGLEY RESEARCH CENTER   (United States)

Author keywords

Atmospheric; Cloud retrieval; Profilers; Satellite observations; Statistical techniques

Indexed keywords

ATMOSPHERIC MOISTURE; ATMOSPHERIC PROFILE; ATMOSPHERIC VARIABLES; CARBON DIOXIDE CONCENTRATIONS; CLOUD ALTITUDES; CLOUD OPTICAL DEPTH; CLOUD RETRIEVAL; DATA SETS; DR METHOD; EMPIRICAL ORTHOGONAL FUNCTION; INFRARED ATMOSPHERIC SOUNDING INTERFEROMETERS; INFRARED SOUNDERS; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; NONLINEAR DEPENDENCE; OZONE PROFILES; PHYSICALLY BASED; POLAR SATELLITE SYSTEMS; PROFILERS; RADIANCE DATA; REAL TIME; REALTIME PROCESSING; REGRESSION METHOD; RETRIEVAL ALGORITHMS; RETRIEVAL SYSTEMS; SATELLITE OBSERVATIONS; SPECTRAL RADIANCE; STATISTICAL TECHNIQUES; SURFACE SKIN TEMPERATURE; ULTRASPECTRAL;

ALGORITHMS; ATMOSPHERICS; CARBON DIOXIDE; INFRARED INSTRUMENTS; MOISTURE; OZONE;

REGRESSION ANALYSIS;

ALGORITHM; CLEAR SKY; CLOUD COVER; IMAGE PROCESSING; PROFILER; REAL TIME; SATELLITE IMAGERY; STATISTICAL ANALYSIS;

EID: 84868128091     PISSN: 15588424     EISSN: 15588432     Source Type: Journal    
DOI: 10.1175/JAMC-D-11-0173.1     Document Type: Article

References (30)

1. Blackwell, W. J., 2005: A neural-network technique for the retrieval of atmospheric temperature and moisture profiles from high spectral resolution sounding data. IEEE Trans. Geosci. Remote Sens., 43, 2535-2546.
2. Borbas, E. E., S. W. Seemann, H.-L. Huang, J. Li, and W. P. Menzel, 2005: Global profile training database for satellite regression retrievals with estimates of skin temperature and emissivity. Proc. 14th Int. ATOVS Study Conf., Beijing, China, CIMSS/University of Wisconsin-Madison, 763-770. [Available online at http://cimss.sec.wisc.edu/itwg/itsc/itsc14/proceedings/ B32_Borbas.pdf.]
3. Brotzge, J., S. Erickson, and H. Brooks, 2011: A 5-yr climatology of tornado false alarms. Wea. Forecasting, 26, 534-544.
4. Chahine, M. T., and Coauthors, 2006: AIRS: Improving weather forecasting and providing new data on greenhouse gases. Bull. Amer. Meteor. Soc., 87, 911-926.
5. Hilton, F., and Coauthors, 2012: Hyperspectral earth observation from IASI: Four years of accomplishments. Bull. Amer. Meteor. Soc., 93, 347-370.
6. Holz, R. E., S. Ackerman, P. Antonelli, F. Nagle, R. O. Knuteson, M. McGill, D. L. Hlavka, and W. D. Hart, 2006: An improvement to the high-spectral-resolution CO2-slicing cloudtop altitude retrieval. J. Atmos. Oceanic Technol., 23, 653-670.
7. Jin, X., J. Hanesiak, and D. Barber, 2006: Detecting cloud vertical structures from radiosondes and MODIS during CASES field experiment. Atmos. Res., 83, 64-76.
8. Le Marshall, J., and Coauthors, 2006: Improving global analysis and forecasting with AIRS. Bull. Amer. Meteor. Soc., 87, 747-750.
9. Li, J., and H. Liu, 2009: Improved hurricane track and intensity forecast using single field-of-view advanced IR sounding measurements. Geophys. Res. Lett., 36, L11813, doi:10.1029/ 2009GL038285.
10. Liu, X., D. K. Zhou, A. M. Larar, W. L. Smith, P. Schluessel, S. M. Newman, J. P. Taylor, and W. Wu, 2009: Retrieval of atmospheric profiles and cloud properties from IASI spectra using super-channels. Atmos. Chem. Phys., 9, 9121-9142.
11. Minnis, P., Y. Yi, J. Huang, and K. Ayers, 2005: Relationships between radiosonde and RUC-2 meteorological conditions and cloud occurrence determined from ARM data. J. Geophys. Res., 110, D23204, doi:10.1029/2005JD006005.
12. Nolan, D. S., J. A. Zhang, and D. P. Stern, 2009: Evaluation of planetary boundary layer parameterizations in tropical cyclones by comparison of in situ observations and high-resolution simulations of Hurricane Isabel (2003). Part I: Initialization, maximum winds, and the outer-core boundary layer. Mon. Wea. Rev., 137, 3651-3674.
13. Schmit, T. J., J. Li, S. A. Ackerman, and J. J. Gurka, 2009: Highspectral-and high-temporal-resolution infrared measurements from geostationary orbit. J. Atmos. Oceanic Technol., 26, 2273-2292.
14. 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.
15. Smith, W. L., 1991: Atmospheric soundings from satellites-False expectation or the key to improved weather prediction? Quart. J. Roy. Meteor. Soc., 117, 267-297.
16. Smith, W. L., and H. M. Woolf, 1976: The use of eigenvectors of statistical covariance matrices for interpreting satellite sounding radiometer observations. J. Atmos. Sci., 33, 1127-1140.
17. Smith, W. L., D.K. Zhou, H.-L. Huang, J. Li, X. Liu, and A. M. Larar, 2004: Extraction of profile information from cloud contaminated radiances. Proc. ECMWF Workshop on Assimilation of High Spectral Resolution Sounders in NWP, Reading, United Kingdom, ECMWF, 145-154.
18. Smith, W. L., D.K. Zhou, A. M. Larar, S. A. Mango, H. B. Knuteson, H. E. Revercomb, and W. L. Smith Jr., 2005: The NPOESS Airborne Sounding Testbed Interferometer-Remotely sensed surface and atmospheric conditions during CLAMS. J. Atmos. Sci., 62, 1118-1134.
19. Smith, W. L., et al, 2009: Technical note: Evolution, current capabilities, and future advances in satellite ultra-spectral IR sounding. Atmos. Chem. Phys., 9, 5563-5574.
20. Stensrud, D. J., et al, 2009: Convective-scale warn-onforecast: Avision for 2020. Bull. Amer. Meteor. Soc., 90, 1487-1499.
21. Strow, L. L., S. E. Hannon, S. De Souza-Machado, H. E. Motteler, and D. Tobin, 2003: An overview of the AIRS radiative transfer model. IEEE Trans. Geosci. Remote Sens., 41, 303-313.
22. Susskind, J., J. Blaisdell, L. Iredell, and F. Keita, 2011: Improved temperature sounding and quality control methodology using AIRS/AMSU data: The AIRS Science Team version 5 retrieval algorithm. IEEE Trans. Geosci. Remote Sens., 49, 883-907.
23. Wei, H., P. Yang, J. Li, B. B. Baum, H.-L. Huang, S. Platnick, Y. Hu, and L. Strow, 2004: Retrieval of semitransparent ice cloud optical thickness from Atmospheric Infrared Sounder (AIRS) measurements. IEEE Trans. Geosci. Remote Sens., 42, 2254-2267.
24. Weisz, E., H.-L. Huang, J. Li, E. Borbas, and K. Baggett, 2007a: International MODIS and AIRS processing package: AIRS products and applications. J. Appl. Remote Sens., 1, 0135519, doi:10.1117/1.2766867.
25. Weisz, E., J. Li, J. Li, D. K. Zhou, H.-L. Huang, M. D. Goldberg, and P. Yang, 2007b: Cloudy sounding and cloud-top height retrieval from AIRS alone single field-of-view radiance measurements. Geophys. Res. Lett., 34, L12802, doi:10.1029/ 2007GL030219.
26. Winker, D. M., J. Pelon, and M. P. McCormick, 2003: The CALIPSO mission: Spaceborne lidar for observation of aerosols and clouds. Lidar Remote Sensing for Industry and EnvironmentMonitoring III, U. N. Singh, T. Itabe, and Z. Liu, Eds., International Society for Optical Engineering (SPIE Proceedings, Vol. 4893), 1-11.
27. Wu, X., and W. L. Smith, 1997: Emissivity of a rough sea surface for 8-13 mm: Modeling and verification. Appl. Opt., 36, 2609-2619.
28. Yang, P., B. C. Gao, B. A. Baum, Y. X. Hu, W. J. Wiscombe, S. C. Tsay, D. M. Winker, and S. L. Nasiri, 2001: Radiative properties of cirrus clouds in the infrared (8-13 mm) spectral region. J. Quant. Spectrosc. Radiat. Transfer, 70, 473-504.
29. Yang, P., B. A. Baum, A. J. Heymsfield, Y. X. Hu, H.-L. Huang, S. C. Tsay, and S. Ackerman, 2003: Single-scattering properties of droxtals. J. Quant. Spectrosc. Radiat. Transfer, 79-80, 1159-1169.
30. Zhou, D. K., W. L. Smith, X. Liu, A.M. Larar, H.-L. A. Huang, J. Li, M. J. McGill, and S. A. Mango, 2005: Thermodynamic and cloud parameters retrieval using infrared spectral data. Geophys. Res. Lett., 32, L15805, doi:10.1029/ 2005GL023211.