Cloud-resolving satellite data assimilation: Information content of IR window observations and uncertainties in estimation

Journal of the Atmospheric Sciences

Volumn 63, Issue 3, 2006, Pages 901-919

  Vukicevic, Tomi ^a   Sengupta, M ^a   Jones, A S ^a   Vonder Haar, T ^a  

^a Department of Environmental and Radiological Health Sciences   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BOUNDARY CONDITIONS; CLOUDS; COMPUTER SIMULATION; ERROR ANALYSIS; ESTIMATION; MATHEMATICAL MODELS; REMOTE SENSING; STATISTICAL METHODS; WEATHER SATELLITES;

CLOUD-RESOLVING SATELLITE DATA; GEOSTATIONARY OPERATIONAL ENVIRONMENTAL SATELLITE (GOES) IMAGER; SATELLITE REMOTE SENSING MEASUREMENTS;

METEOROLOGY;

BOUNDARY CONDITIONS; CLOUDS; COMPUTER SIMULATION; ERROR ANALYSIS; ESTIMATION; MATHEMATICAL MODELS; METEOROLOGY; REMOTE SENSING; STATISTICAL METHODS; WEATHER SATELLITES;

CLOUD MICROPHYSICS; DATA ASSIMILATION; GOES; SATELLITE IMAGERY;

EID: 33645961929     PISSN: 00224928     EISSN: None     Source Type: Journal    
DOI: 10.1175/JAS3639.1     Document Type: Article

References (35)

1. Atlas, D., 1990: Radar in Meteorology. Amer. Meteor. Soc., 860 pp.
2. Benedetti, A., T. Vukicevic, and G. L. Stephens, 2003: Variational assimilation of radar reflectivities in a cirrus model. II: Optimal initialization and model bias estimation. Quart. J. Roy. Meteor. Soc., 129, 301-319.
3. Bennett, F. A., 2002: Inverse Modeling of the Ocean and Atmosphere. Cambridge University Press, 234 pp.
4. Chevallier, F., and G. Kelly, 2002: Model clouds as seen from space: Comparison with geostationary imagery in the 11-μm window channel. Mon. Wea. Rev., 130, 712-722.
5. Cohn, S. E., 1997: An introduction to estimation theory. J. Meteor. Soc. Japan, 75, 257-288.
6. Cotton, W. R., and Coauthors, 2003: RAMS 2001: Current status and future directions. Meteor. Atmos. Phys., 82, 5-29.
7. Deeter, M., and K. F. Evans, 1998: A hybrid Eddington-single scattering radiative transfer model for computing radiances from thermally emitting atmospheres. J. Quant. Spectrosc. Radiat. Transfer, 60, 635-648.
8. Derber, J. C., and W.-S. Wu, 1998: The use of TOVS cloud-clear radiances in the NCEP SSI analysis system. Mon. Wea. Rev., 126, 2287-2302.
9. Enting, J., 2002: Inverse Problems in Atmospheric Constituent Transport. Cambridge Atmospheric and Space Science Series, Cambridge University Press, 392 pp.
10. Evans, K. F., 1998: The spherical harmonics discrete ordinate method for three-dimensional atmospheric radiative transfer. J. Atmos. Sci., 55, 429-446.
11. Greenwald, T. J., and S. A. Christopher, 2000: The GOES I-M Imagers: New tools for studying microphysical properties of boundary layer stratiform clouds. Bull. Amer. Meteor. Soc., 81, 2607-2620.
12. Greenwald, T. J., R. Hertenstein, and T. Vukicevic, 2002: An all-weather observational operator for radiance data assimilation with mesoscale forecast models. Mon. Wea. Rev., 130, 1882-1897.
13. Greenwald, T. J., T. Vukicevic, and L. D. Grasso, 2004: Adjoint sensitivity analysis of an observational operator for cloudy visible and infrared radiance assimilation. Quart. J. Roy. Meteor. Soc., 130, 685-705.
14. Guyot, A., J. Testud, and T. P. Ackerman, 2000: Determination of the radiative properties of stratiform clouds from a nadir-looking 95-GHz radar. J. Atmos. Oceanic Technol., 17, 38-50.
15. Khairoutdinov, M. F., and D. A. Randall, 2003: Cloud resolving modeling of the ARM Summer 1997 IOP: Model formulation, results, uncertainties, and sensitivities. J. Atmos. Sci., 60, 607-624.
16. Kidder, S. Q., and T. H. Vonder Haar, 1995: Satellite Meteorology: An Introduction. Academic Press, 466 pp.
17. Kummerow, C., W. S. Olson, and L. Giglio, 1996: A simplified scheme for obtaining precipitation and vertical hydrometeor profiles from passive microwave sensors. IEEE Trans. Geosci. Remote Sens., 34, 1213-1232.
18. Lee, M.-S., and D.-K. Lee, 2003: An application of weekly constrained 4DVAR to satellite data assimilation and heavy rainfall simulation. Mon. Wea. Rev., 131, 2151-2165.
19. McMillin, L. M., L. J. Crone, M. D. Goldberg, and T. J. Kleespies, 1995: Atmospheric transmittance of an absorbing gas, 4. OP-TRAN: A computationally fast and accurate transmittance model for absorbing gases with fixed and variable mixing ratios at variable viewing angles. Appl. Opt., 34, 6269-6274.
20. Parrish, D. F., and J. C. Derber, 1992: The National Meteorological Center's spectral statistical-interpolation analysis system. Mon. Wea. Rev., 120, 1747-1763.
21. Pielke, R., Sr., 2002: Mesoscale Meteorological Modeling. Academic Press, 676 pp.
22. Rossow, W. B., and L. C. Garder, 1993: Cloud detection using satellite measurements of infrared and visible radiances for ISCCP. J. Climate, 6, 2341-2369.
23. Rossow, W. B., and A. Schiffer, 1999: Advances in understanding clouds from ISCCP. Bull. Amer. Meteor. Soc., 80, 2261-2287.
24. Stephens, G. L., 2002: The CloudSat mission and the A-Train. Bull. Amer. Meteor. Soc., 83, 1771-1790.
25. Stokes, G. M., and S. E. Schwartz, 1994: The Atmospheric Radiation Measurement (ARM) Program: Programmatic background and design of the cloud and radiation test bed. Bull. Amer. Meteor. Soc., 75, 1201-1222.
26. Sun, J., and N. A. Crook, 1998: Dynamical and microphysical retrieval from Doppler radar observations using a cloud model and its adjoint. Part II: Retrieval experiments of an observed Florida convective storm. J. Atmos. Sci., 55, 835-852.
27. Tarantola, A., 1987: Inverse Problem Theory: Methods for Data Fitting and Model Parameter Estimation. Elsevier, 613 pp.
28. van Leeuwen, P. J., 2001: An ensemble smoother with error estimates. Mon. Wea. Rev., 129, 709-728.
29. Vukicevic, T., R. Braswell, and D. Schimel, 2001: A diagnostic study of temperature controls on global terrestrial carbon exchange. Tellus, 53B, 150-170.
30. Vukicevic, T., T. Greenwald, M. Zupanski, D. Zupanski, T. Vonder Haar, and A. Jones, 2004: Mesoscale cloud state estimation from visible and infrared satellite radiances. Mon. Wea. Rev., 132, 3066-3077.
31. Wu, B., J. Verlinde, and J. Sun, 2000: Dynamical and microphysical retrievals from Doppler radar observations of a deep convective cloud. J. Atmos. Sci., 57, 262-283.
32. Zhang, F., C. Snyder, and J. Sun, 2004: Impacts of initial estimate and observation availability on convective-scale data assimilation with an ensemble Kalman filter. Mon. Wea. Rev., 132, 1238-1253.
33. Zupanski, D., 1997: A general weak constraint applicable to operational 4DVAR data assimilation systems. Mon. Wea. Rev., 125, 2274-2292.
34. Zupanski, M., D. Zupanski, D. Parrish, E. Rogers, and D. DiMego, 2002: Four-dimensional variational data assimilation for the blizzard of 2000. Mon. Wea. Rev., 130, 1967-1988.
35. Zupanski, M., D. Zupanski, T. Vukicevic, K. Eis, and T. Vonder Haar, 2005: CIRA/CSU four-dimensional variational data assimilation system. Mon. Wea. Rev., 133, 829-843.