A modular optimal estimation method for combined radar-radiometer precipitation profiling

Journal of Applied Meteorology and Climatology

Volumn 50, Issue 2, 2011, Pages 433-448

  Munchak, S Joseph ^a   Kummerow, Christian D ^a  

^a Department of Mechanical Engineering   (United States)

Author keywords

Drop size distribution; Microwave observations; Precipitation; Radar observations

Indexed keywords

BRIGHTNESS TEMPERATURES; CLOUD WATER; COMBINED ALGORITHMS; DISDROMETERS; DROP SIZE DISTRIBUTION; FLORIDA; GROUND VALIDATIONS; ICE PARTICLES; MICROWAVE OBSERVATIONS; MICROWAVE SCATTERING; OPTIMAL ESTIMATION METHODS; OPTIMAL ESTIMATION THEORY; PASSIVE MICROWAVES; POLARIMETRIC RADARS; PRECIPITATION; PRECIPITATION PROFILING; PRECIPITATION RADAR; RADAR OBSERVATIONS; RADAR PROFILES; RADAR RAINFALL; RAIN RATES; RAINDROP SIZE DISTRIBUTION; RAINFALL RATES; RETRIEVAL FRAMEWORKS; THREE PARAMETERS; TRMM MICROWAVE IMAGER; TROPICAL RAINFALL MEASURING MISSIONS; ZONAL MEANS;

ALGORITHMS; ATMOSPHERIC HUMIDITY; DROPS; ESTIMATION; MICROWAVES; OPTIMIZATION; PARTICLE SIZE; PARTICLE SIZE ANALYSIS; RADAR; RADAR MEASUREMENT; RAIN GAGES; SIZE DISTRIBUTION; SPACE SHUTTLES; UNCERTAINTY ANALYSIS;

RAIN;

BRIGHTNESS TEMPERATURE; CLOUD MICROPHYSICS; DATABASE; DROPLET; ESTIMATION METHOD; HYDROMETEOROLOGY; MICROWAVE IMAGERY; OBSERVATIONAL METHOD; PRECIPITATION (CLIMATOLOGY); RADAR; RAINDROP; SATELLITE IMAGERY; SCATTERING; SIZE DISTRIBUTION;

AUSTRALIA; FLORIDA [UNITED STATES]; KWAJALEIN; MARSHALL ISLANDS; MELBOURNE; UNITED STATES; VICTORIA [AUSTRALIA];

EID: 79953166116     PISSN: 15588424     EISSN: None     Source Type: Journal    
DOI: 10.1175/2010JAMC2535.1     Document Type: Article

References (53)

1. Allen, M. R., and W. J. Ingram, 2002: Constraints on future changes in climate and the hydrologic cycle. Nature, 419, 224-232.
2. Barrett, E. C., 1970: The estimation of monthly rainfall from satellite data. Mon. Wea. Rev., 98, 322-327.
3. Bennartz, R., and G. W. Petty, 2001: The sensitivity of microwave remote sensing observations of precipitation to ice particle size distributions. J. Appl. Meteor., 40, 345-364.
4. Berg, W., T. L'Ecuyer, and C. Kummerow, 2006: Rainfall climate regimes: The relationship of regionalTRMMrainfall biases to the environment. J. Appl. Meteor. Climatol., 45, 434-454.
5. Black, R. A., 1990: Radar reflectivity-ice water content relationships for use above the melting level in hurricanes. J. Appl. Meteor., 29, 955-961.
6. Bringi, V. N., T. Tang, and V. Chandrasekar, 2004: Evaluation of a new polarimetrically based Z-R relation. J. Atmos. Oceanic Technol., 21, 612-623.
7. Chen, Y., A. D. D. Genio, and J. Chen, 2007: The tropical atmospheric El Niño signal in satellite precipitation data and a global climate model. J. Climate, 20, 3580-3601.
8. Cho, H.-K., K. P. Bowman, and G. R. North, 2004: Equatorial waves including the Madden-Julian oscillation in TRMM rainfall and OLR data. J. Climate, 17, 4387-4406.
9. Elsaesser, G. S., and C. D. Kummerow, 2008: Toward a fully parametric retrieval of the nonraining parameters over the global oceans. J. Appl. Meteor. Climatol., 47, 1599-1618.
10. Fabry, F., and I. Zawadzki, 1995: Long-term radar observations of the melting layer of precipitation and their interpretation. J. Atmos. Sci., 52, 838-851.
11. Gentemann, C. L., F. J. Wentz, C. A. Mears, and D. K. Smith, 2004: In situ validation of Tropical Rainfall Measuring Mission microwave sea surface temperatures. J. Geophys. Res., 109, C04021, doi:10.1029/2003JC002092.
12. Grecu, M., and E. N. Anagnostou, 2002: Use of passive microwave observations in a radar rainfall-profiling algorithm. J. Appl. Meteor., 41, 702-715.
13. Grecu, M., W. S. Olson, and E. N. Anagnostou, 2004: Retrieval of precipitation profiles from multiresolution, multifrequency active and passive microwave observations. J. Appl. Meteor., 43, 562- 575.
14. Haddad,Z.S.,E.A. Smith, C.D.Kummerow,T. Iguchi,M.R. Farrar, S. L. Durden, M. Alves, and W. S. Olson, 1997: The TRMM 'day-1' radar/radiometer combined rain-profiling algorithm. J. Meteor. Soc. Japan, 75, 799-809.
15. Held, I. M., and B. J. Soden, 2006: Robust responses of the hydrological cycle to global warming. J. Climate, 19, 5686-5699.
16. Heymsfield, A. J., A. Bansemer, C. Schmitt, C. Twomey, and M. R. Poellot, 2004: Effective ice particle densities derived from aircraft data. J. Atmos. Sci., 61, 982-1003.
17. Hitschfield, W., and J. Bordan, 1954: Errors inherent in the radar measurement of rainfall at attenuating wavelengths. J.Meteor., 11, 58-67.
18. Hollinger, J. P., J. L. Peirce, and G. A. Poe, 1990: SSM/I instrument evaluation. IEEE Trans. Geosci. Remote Sens., 28, 781-790.
19. Houze, R. A., P. V. Hobbs, P. H. Herzegh, and D. B. Parsons, 1979: Size distributions of precipitation particles in frontal clouds. J. Atmos. Sci., 36, 156-162.
20. Iguchi, T., T. Kozu, R. Meneghini, J. Awaka, and K. Okamoto, 2000: Rain-profiling algorithm for the TRMM precipitation radar. J. Appl. Meteor., 39, 2038-2052.
21. Iguchi, T., T. Kozu, J.Kwiatkowski, R. Meneghini, J. Awaka, and K.Okamoto, 2009: Uncertainties in the rain profiling algorithm for the TRMM precipitation radar. J. Meteor. Soc. Japan, 87A, 1-30.
22. Kozu, T., T. Iguchi, T. Kubota, N. Yoshida, S. Seto, J. Kwiatkowski, and Y. N. Takayabu, 2009: Feasibility of raindrop size distribution parameter estimation with TRMM precipitation radar. J. Meteor. Soc. Japan, 87A, 53-66.
23. Kubar, T. L., D. L. Hartmann, and R. Wood, 2009: Understanding the importance of microphysics and macrophysics for warm rain in marine low clouds. Part I: Satellite observations. J. Atmos. Sci., 66, 2953-2972.
24. Kummerow, C., 1993: On the accuracy of the Eddington approximation for radiative transfer in the microwave frequencies. J. Geophys. Res., 98, 2757-2765.
25. Kummerow, C., and L. Giglio, 1994: A passive microwave technique for estimating rainfall and vertical structure information from space. Part I: Algorithm description. J. Appl. Meteor., 33, 3-18.
26. Kummerow, C., W. Barnes, T. Kozu, J. Shiue, and J. Simpson, 1998: The Tropical Rainfall Measuring Mission (TRMM) sensor package. J. Atmos. Oceanic Technol., 15, 809-817.
27. Kummerow, C., and Coauthors, 2001: The evolution of the Goddard Profiling Algorithm (GPROF) for rainfall estimation from passive microwave sensors. J. Appl. Meteor., 40, 1801-1820.
28. L'Ecuyer, T. S., and G. L. Stephens, 2007: The tropical atmospheric energy budget from the TRMM perspective. Part II: Evaluating GCM representations of the sensitivity of regional energy and water cycles to the 1998/99 ENSO cycle. J. Climate, 20, 4548-4571.
29. Li, Y., E. J. Zipser, S. K. Krueger, and M. A. Zulauf, 2008: Cloudresolving modeling of deep convection during KWAJEX. Part I: Comparison to TRMM satellite and ground-based radar observations. Mon. Wea. Rev., 136, 2699-2712.
30. Liu, Y., and P. H. Daum, 2004: Parameterization of the autoconversion process. Part I: Analytical formulation of Kesslertype parameterizations. J. Atmos. Sci., 61, 1539-1548.
31. Marks, D. A., D. B. Wolff, D. S. Silberstein, A. Tokay, J. L. Pippitt, and J. Wang, 2009: Availability of high-qualityTRMMground validation data from Kwajalein, RMI: A practical application of the relative calibration adjustment technique. J. Atmos. Oceanic Technol., 26, 413-429.
32. Masunaga, H., and C. Kummerow, 2005: Combined radar and radiometer analysis of precipitation profiles for a parametric retrieval algorithm. J. Atmos. Oceanic Technol., 22, 909-929.
33. Masunaga, H., T. S. L'Ecuyer, and C. D. Kummerow, 2006: The Madden-Julian Oscillation recorded in early observations from the Tropical Rainfall Measuring Mission (TRMM). J. Atmos. Sci., 63, 2777-2794.
34. Matrosov, S. Y., K. Clark, B. Martner, and A. Tokay, 2002: X-band polarimetric radar measurements of rainfall. J. Appl. Meteor., 41, 941-952.
35. Meneghini, R., T. Iguchi, T. Kozu, L. Liao, K. Okamoto, J. A. Jones, and J. Kwiatkowski, 2000: Use of the surface reference technique for path attenuation estimates from the TRMM radar. J. Appl. Meteor., 39, 2053-2070.
36. Morita, J., Y. N. Takayabu, S. Shige, and Y. Kodama, 2006: Analysis of rainfall characteristics of the Madden-Julian oscillation using TRMM satellite data. Dyn. Atmos. Oceans, 42, 107-126.
37. Olson, W. S., P. Bauer, N. F. Viltard, D. E. Johnson, W.-K. Tao, R. Meneghini, and L. Liao, 2001: A melting-layer model for passive/active microwave remote sensing applications. Part I: Model formulation and comparison with observations. J. Appl. Meteor., 40, 1145-1163.
38. Petty, G. W., and W. Huang, 2010: Microwave backscatter and extinction by soft ice spheres and complex snow aggregates. J. Atmos. Sci., 67, 769-787.
39. Rapp, A. D., M. Lebsock, and C. Kummerow, 2009: On the consequences of resampling microwave radiometer observations for use in retrieval algorithms. J. Appl. Meteor. Climatol., 48, 1981-1993.
40. Reynolds, R. W., and T. Smith, 1994: Improved global sea surface temperature analyses using optimum interpolation. J. Climate, 7, 929-948.
41. Rodgers, C. D., 2000: Inverse Methods for Atmospheric Sounding: Theory and Practice. World Scientific, 238 pp.
42. Rosenfeld, D., and C. W. Ulbrich, 2003: Cloud microphysical properties, processes and rainfall estimation opportunities. Radar and Atmospheric Science: A Collection of Essays in Honor of David Atlas, Meteor. Monogr., No. 52, Amer. Meteor. Soc., 237-258.
43. Seo, E.-K., B.-J. Sohn, and G. Liu, 2007: HowTRMMprecipitation radar and microwave imager retrieved rain rates differ. Geophys. Res. Lett., 34, L24803, doi:10.1029/2007GL032331.
44. Shimizu, S., R. Oki, T. Tagawa, T. Iguchi, and M. Hirose, 2009: Effects of the orbit boost of the TRMM satellite on PR rain estimates. J. Meteor. Soc. Japan, 87A, 83-92.
45. Silberstein,D. S.,D.B.Wolff,D. A.Marks, D.Atlas, and J. L. Pippitt, 2008:Ground clutter as a monitor of radar stability atKwajalein, RMI. J. Atmos. Oceanic Technol., 25, 2037-2045.
46. Stephens, G. L., and Coauthors, 2002: The CloudSat mission and the A-Train:Anew dimension of space-based observations of clouds and precipitation. Bull. Amer. Meteor. Soc., 83, 1771-1790.
47. Stith, J. L., J.E.Dye,A.Bansemer,A. J.Heymsfield,C.A.Grainger, W.A. Petersen, andR.Cifelli, 2002:Microphysical observations of tropical clouds. J. Appl. Meteor., 41, 97-117.
48. Ulbrich, C.W., 1983: Natural variations in the analytical form of the drop size distribution. J. Climate Appl. Meteor., 22, 1764-1775.
49. Wentz, F. J., L. Ricciardulli, K. Hilburn, and C. Mears, 2007: How muchmore rain will globalwarming bring? Science, 317, 233-235.
50. Williams, C. R., 2008: Profiler DSD estimates and uncertainties retrieved using ensemble statistics and optimal estimation theory. Third Int. TRMM Conf., Las Vegas, NV, National Aeronautics and Space Agency/Japan Aerospace Exploration Agency. [Available online at http://trmm.gsfc.nasa.gov/3rd_trmm_conf/session_9/Williams_Wed_0510pm.ppt.]
51. Wolff, D. B., and B. L. Fisher, 2008: Comparisons of instantaneous TRMM ground validation and satellite rain-rate estimates at different spatial scales. J. Appl. Meteor. Climatol., 47, 2215-2237.
52. Wolff, D. B., D. A. Marks, E. Amitai, D. S. Silberstein, B. L. Fisher, A. Tokay, J. Wang, and J. L. Pippitt, 2005: Ground validation for the Tropical Rainfall Measuring Mission (TRMM). J. Atmos. Oceanic Technol., 22, 365-380.
53. Zawadzki, I., W. Szyrmer, C. Bell, and F. Fabry, 2005: Modeling of the melting layer. Part III: The density effect. J. Atmos. Sci., 62, 3705-3722.