Quantifying uncertainties of cloud microphysical property retrievals with a perturbation method

Journal of Geophysical Research

Volumn 119, Issue 9, 2014, Pages 5375-5385

  Zhao, Chuanfeng ^a   Xie, Shaocheng ^b   Chen, Xiao ^b   Jensen, Michael P ^c   Dunn, Maureen ^c  

^a BEIJING NORMAL UNIVERSITY   (China)

^b LAWRENCE LIVERMORE NATIONAL LABORATORY   (United States)

^c BROOKHAVEN NATIONAL LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AIRCRAFT OBSERVATIONS; ARM; ATMOSPHERIC RADIATION MEASUREMENT PROGRAMS; CLOUD MICROPHYSICAL PROPERTIES; DEEP CONVECTIVE CLOUDS; PERTURBATION METHOD; RELATIVE CONTRIBUTION; UNCERTAINTY QUANTIFICATIONS;

UNCERTAINTY ANALYSIS;

CLIMATE MODELING; CLOUD MICROPHYSICS; MEASUREMENT METHOD; PARAMETERIZATION; PERTURBATION; UNCERTAINTY ANALYSIS;

EID: 84901718835     PISSN: 01480227     EISSN: 21562202     Source Type: Journal    
DOI: 10.1002/2013JD021112     Document Type: Article

References (37)

1. Ackerman, T. P., and G. M. Stokes (2003), The atmospheric radiation measurement program, Phys. Today, 56, 38-44.
2. Avramov, A., et al. (2011), Toward ice formation closure in Arctic mixed-phase boundary layer clouds during ISDAC, J. Geophys. Res., 116, D00T08, doi:10.1029/2011JD015910.
3. Comstock, J. M., et al. (2007), An intercomparison of microphysical retrieval algorithms for upper-tropospheric ice clouds, Bull. Am. Meteorol. Soc., 88, 191-204, doi:10.1175/BAMS-88-2-191.
4. Deng, M., and G. G. Mace (2008), Cirrus cloud microphysical properties and air motion statistics using cloud radar Doppler moments: Water content, particle size, and sedimentation relationships, Geophys. Res. Lett., 35, L17808, doi:10.1029/2008GL035054.
5. Dong, X., and G. G. Mace (2001), Profiles of low-level stratus cloud microphysics deduced from ground-based measurements, J. Atmos. Oceanic Technol., 20, 42-53.
6. Dong, X., and G. G. Mace (2003), Arctic stratus cloud properties and radiative forcing derived from ground-based data collected at Barrow, Alaska, J. Clim., 16, 445-461.
7. Dong, X., T. P. Ackerman, and E. E. Clothiaux (1998), Parameterizations of microphysical and radiative properties of boundary layer stratus from ground-based measurements, J. Geophys. Res., 102, 31,681-31,693.
8. Dong, X., P. Minnis, and B. Xi (2005), A climatology of midlatitude stratus clouds from ARM SGP site: Part I: Macrophysical, microphysical and radiative properties, J. Clim., 18, 1391-1410.
9. Dunn, M., K. L. Johnson, and M. P. Jensen (2011), The Microbase value-added product: A baseline retrieval of cloud microphysical properties. DOE/SC-ARM/TR-095. [Available at http://www.arm.gov/publications/tech_reports/doe-scp-arm-tr-095.pdf.]
10. Frisch, A. S., C. W. Fairall, and J. B. Snider (1995), Measurement of stratus cloud and drizzle parameters in ASTEX with K-band Doppler radar and a microwave radiometer, J. Atmos. Sci., 52, 2788-2799.
11. Garrett, T. J., and C. Zhao (2013), Ground-based remote sensing of thin clouds in the Arctic, Atmos. Meas. Tech., 6, 1227-1243, doi:10.5194/amt-6-1227-2013.
12. Gultepe, I., G. Isaac, D. Hudak, R. Nissen, and J. W. Strapp (2000), Dynamical and microphysical characteristics of Arctic clouds during BASE, J. Clim., 13, 1225-1254.
13. Hobbs, P. V., and A. L. Rangno (1998), Microstructures of low and middle-level clouds over the Beaufort Sea, Q. J. R. Meteorol. Soc., 124, 2035-2071.
14. Hogan, R. J., D. P. Donovan, C. Tinel, M. A. Brooks, A. J. Illingworth, and J. P. V. Poiares Baptista (2006), Independent evaluation of the ability of spaceborne radar and lidar to retrieve the microphysical and radiative properties of ice clouds, J. Atmos. Oceanic Technol., 23, 211-227.
15. Huang, D., C. Zhao, M. Dunn, X. Dong, G. G. Mace, M. P. Jensen, S. Xie, and Y. Liu (2012), An intercomparison of radar-based liquid cloud microphysics retrievals and implications for model evaluation studies, Atmos. Meas. Tech., 5, 1409-1424, doi:10.5194/amt-5-1409-2012.
16. Intergovernmental Panel on Climate Change (2007), Climate Change 2007: IPCC Fourth Assessment Report, Cambridge Univ. Press, Cambridge, U. K.
17. Ivanova, D. C., D. L. Mitchell, W. P. Arnott, and M. Poellot (2001), A GCM parameterization for bimodal size spectra and ice mass removal rates in mid-latitude cirrus clouds, Atmos. Res., 59, 89-113.
18. Leith, C. E. (1974), Theoretical skill of Monte Carlo forecasts, Mon. Weather Rev., 102, 409-418.
19. Liao, L., and K. Sassen (1994), Investigation of relationships between Ka-band radar reflectivity and ice and liquid water contents, Atmos. Res., 34, 231-248.
20. Liu, C.-L., and A. J. Illingworth (2000), Toward more accurate retrievals of ice water content from radar measurements of clouds, J. Appl. Meteorol., 39, 1130-1146.
21. Mace, G. G., T. P. Ackerman, P. Minnis, and D. F. Young (1998), Cirrus layer microphysical properties derived from surface-based millimeter radar and infrared interferometer data, J. Geophys. Res., 103, 23,207-23,216, doi:10.1029/98JD02117.
22. Mace, G. G., A. J. Heymsfield, and M. R. Poellot (2002), On retrieving the microphysical properties of cirrus clouds using the moments of the millimeter-wavelength Doppler spectrum, J. Geophys. Res., 107(D24), 4815, doi:10.1029/2001JD001308.
23. McFarlane, S. A., K. F. Evans, and A. S. Ackerman (2002), A Bayesian algorithm for the retrieval of liquid water cloud properties from microwave radiometer and millimeter radar data, J. Geophys. Res., 107(D16), 4317, doi:10.1029/2001JD001011.
24. Miles, N. L., J. Verlinde, and E. E. Clothiaux (2000), Cloud droplet size distributions in low-level stratiform clouds, J. Atmos. Sci., 57, 295-311, doi:10.1175/1520-0469(2000)057<0295:CDSDIL>2.0.CO;2.
25. Pinto, J. O., J. A. Curry, and J. M. Intrieri (2001), Cloud-aerosol interactions during autumn over Beaufort Sea, J. Geophys. Res., 1064(D14), 15,077-15,097, doi:10.1029/2000JD900267.
26. Posselt, D., T. S. L’Ecuyer, and G. L. Stephens (2008), Exploring the error characteristics of thin ice cloud property retrievals using a Markov chain Monte Carlo algorithm, J. Geophys. Res., 113, D24206, doi:10.1029/2008JD010832.
27. Protat, A., J. Delanoë, D. Bouniol, A. J. Heymsfield, A. Bansemer, and P. Brown (2007), Evaluation of ice water content retrievals from cloud radar reflectivity and temperature using a large airborne in situ microphysical database, J. Appl. Meteorol. Climatol., 46, 557-572.
28. Shupe, M. D., T. Uttal, and S. Y. Matrosov (2005), Arctic cloud microphysics retrievals from surface-based remote sensors at SHEBA, J. Appl. Meteorol., 44, 1544-1562, doi:10.1175/JAM2297.1.
29. Szyrmer, W., A. Tatarevic, and P. Kollias (2012), Ice clouds microphysical retrieval using 94-GHz Doppler radar observations: Basic relations within the retrieval framework, J. Geophys. Res., 117, D14203, doi:10.1029/2011JD016675.
30. Troyan, D. (2012), Merged sounding value-added product. DOE/SC-ARM/TR-087. [Available at http://www.arm.gov/publications/tech_reports/doe-scp-arm-tr-097.pdf.]
31. Turner, D. D. (2005), Arctic mixed-phase cloud properties from AERI lidar observations: Algorithm and results from SHEBA, J. Appl. Meteorol., 44, 427-444.
32. Turner, D. D., S. A. Clough, J. C. Liljegren, E. E. Clothiaux, K. Cady-Pereira, and K. L. Gaustad (2007), Retrieving liquid water path and precipitable water vapor from Atmospheric Radiation Measurement (ARM) microwave radiometers, IEEE Trans. Geosci. Remote Sens., 45(11), 3680-3690.
33. Wang, Z., and K. Sassen (2001), Cloud type and macrophysical property retrieval using multiple remote sensors, J. Appl. Meteorol., 40(10), 1665-1682.
34. Wang, Z., and K. Sassen (2002), Cirrus cloud microphysical property retrieval using lidar and radar measurements. Part I: Algorithm description and comparison with in situ data, J. Appl. Meteorol., 41, 218-229.
35. Xie, S., et al. (2011), Focus group proposal whitepaper: ASR quantification of uncertainty in cloud retrievals (QUICR) focus group, Dept. Of Energy, Washington, D. C. [Available at http://asr.science.energy.gov/science/working-groups/fg/docs/CLWG_QUICR.pdf.]
36. Zhao, C., et al. (2011), ARM cloud retrieval ensemble data set (ACRED), Tech. Rep. DOE/SC-ARM-TR-099, Dept. Of Energy, Washington, D. C. [Available at https://www.arm.gov/publications/tech_reports/doe-sc-arm-tr-099.pdf.]
37. Zhao, C., et al. (2012), Toward understanding of differences in current cloud retrievals of ARM ground-based measurements, J. Geophys. Res., 117, D10206, doi:10.1029/2011JD016792.