Editorial Type:
Article
Article Type:
Research Article

Retrieval of Precipitation Profiles from Multiresolution, Multifrequency Active and Passive Microwave Observations

Mircea Grecu Goddard Earth Sciences and Technology Center, University of Maryland, Baltimore County, Baltimore, andNASA Goddard Space Flight Center, Greenbelt, Maryland

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William S. Olson Joint Center for Earth Systems Technology, University of Maryland, Baltimore County, Baltimore, andNASA Goddard Space Flight Center, Greenbelt, Maryland

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Emmanouil N. Anagnostou Department of Civil and Environmental Engineering, University of Connecticut, Storrs, Connecticut

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Print Publication:
01 Apr 2004
DOI:
https://doi.org/10.1175/1520-0450(2004)043<0562:ROPPFM>2.0.CO;2
Page(s):
562–575
Restricted access

Abstract

In this study, a technique for estimating vertical profiles of precipitation from multifrequency, multiresolution active and passive microwave observations is investigated. The technique is applicable to the Tropical Rainfall Measuring Mission (TRMM) observations, and it is based on models that simulate high-resolution brightness temperatures as functions of observed reflectivity profiles and a parameter related to the raindrop size distribution. The modeled high-resolution brightness temperatures are used to determine normalized brightness temperature polarizations at the microwave radiometer resolution. An optimal estimation procedure is employed to minimize the differences between the simulated and observed normalized polarizations by adjusting the drop size distribution parameter. The impact of other unknowns that are not independent variables in the optimal estimation, but affect the retrievals, is minimized through statistical parameterizations derived from cloud model simulations. The retrieval technique is investigated using TRMM observations collected during the Kwajalein Experiment (KWAJEX). These observations cover an area extending from 5° to 12°N latitude and from 166° to 172°E longitude from July to September 1999 and are coincident with various ground-based observations, facilitating a detailed analysis of the retrieved precipitation. Using the method developed in this study, precipitation estimates consistent with both the passive and active TRMM observations are obtained. Various parameters characterizing these estimates, that is, the rain rate, precipitation water content, drop size distribution intercept, and the mass- weighted mean drop diameter, are in good qualitative agreement with independent experimental and theoretical estimates. Combined rain estimates are, in general, higher than the official TRMM precipitation radar (PR)-only estimates for the area and the period considered in the study. Ground-based precipitation estimates, derived from an analysis of rain gauge and ground radar data, are in better agreement with the combined estimates than with the TRMM PR-only estimates, which suggests that information useful for improving the radar-only estimates is contained in the brightness temperature data.

Corresponding author address: Dr. Mircea Grecu, GEST/UMBC, NASA Goddard Space Flight Center, Code 912.0, Greenbelt, MD 20770. grecu@agnes.gsfc.nasa.gov

Abstract

In this study, a technique for estimating vertical profiles of precipitation from multifrequency, multiresolution active and passive microwave observations is investigated. The technique is applicable to the Tropical Rainfall Measuring Mission (TRMM) observations, and it is based on models that simulate high-resolution brightness temperatures as functions of observed reflectivity profiles and a parameter related to the raindrop size distribution. The modeled high-resolution brightness temperatures are used to determine normalized brightness temperature polarizations at the microwave radiometer resolution. An optimal estimation procedure is employed to minimize the differences between the simulated and observed normalized polarizations by adjusting the drop size distribution parameter. The impact of other unknowns that are not independent variables in the optimal estimation, but affect the retrievals, is minimized through statistical parameterizations derived from cloud model simulations. The retrieval technique is investigated using TRMM observations collected during the Kwajalein Experiment (KWAJEX). These observations cover an area extending from 5° to 12°N latitude and from 166° to 172°E longitude from July to September 1999 and are coincident with various ground-based observations, facilitating a detailed analysis of the retrieved precipitation. Using the method developed in this study, precipitation estimates consistent with both the passive and active TRMM observations are obtained. Various parameters characterizing these estimates, that is, the rain rate, precipitation water content, drop size distribution intercept, and the mass- weighted mean drop diameter, are in good qualitative agreement with independent experimental and theoretical estimates. Combined rain estimates are, in general, higher than the official TRMM precipitation radar (PR)-only estimates for the area and the period considered in the study. Ground-based precipitation estimates, derived from an analysis of rain gauge and ground radar data, are in better agreement with the combined estimates than with the TRMM PR-only estimates, which suggests that information useful for improving the radar-only estimates is contained in the brightness temperature data.

Corresponding author address: Dr. Mircea Grecu, GEST/UMBC, NASA Goddard Space Flight Center, Code 912.0, Greenbelt, MD 20770. grecu@agnes.gsfc.nasa.gov

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Journal of Applied Meteorology and Climatology

  • Anagnostou, E. N. and W. F. Krajewski. 1999. Real-time radar rainfall estimation. Part I: Algorithm formulation. J. Atmos. Oceanic Technol 16:198–205.

    • Search Google Scholar
    • Export Citation

  • Bauer, P., L. Schanz, and L. Roberti. 1998. Correction of three-dimensional effects for passive microwave remote sensing of convective clouds. J. Appl. Meteor 37:1619–1643.

    • Search Google Scholar
    • Export Citation

  • Bringi, V. N., V. Chandrasekar, J. Hubbert, E. Gorgucci, W. L. Randeu, and M. Schoenhuber. 2003. Raindrop size distribution in different climatic regimes from disdrometer and dual-polarized radar analysis. J. Atmos. Sci 60:354–365.

    • Search Google Scholar
    • Export Citation

  • Ferreira, F., P. Amayenc, S. Oury, and J. Testud. 2001. Study and tests of improved rain estimates from the TRMM precipitation radar. J. Appl. Meteor 40:1878–1899.

    • Search Google Scholar
    • Export Citation

  • Giering, R. and T. Kaminski. 1998. Recipes for adjoint code construction. ACM Trans. Math. Software 24:437–474.

  • Grecu, M. and E. N. Anagnostou. 2002. Use of passive microwave observations in a radar rainfall-profiling algorithm. J. Appl. Meteor 41:702–715.

    • Search Google Scholar
    • Export Citation

  • Haddad, Z. S., E. A. Smith, C. 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 75:799–808.

    • Search Google Scholar
    • Export Citation

  • Hinton, B. B., W. S. Olson, D. W. Martin, and B. Auvine. 1992. A passive microwave algorithm for tropical oceanic rainfall. J. Appl. Meteor 31:1379–1395.

    • Search Google Scholar
    • Export Citation

  • Hu, Z. and R. C. Srivastava. 1995. Evolution of raindrop size distribution by coalescence, breakup, and evaporation: Theory and observations. J. Atmos. Sci 52:1761–1783.

    • Search Google Scholar
    • Export Citation

  • 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.

    • Search Google Scholar
    • Export Citation

  • Khain, A., M. Ovtchinnikov, M. Pinsky, A. Pokrovsky, and H. Krugliak. 2000. Notes on the state-of-the-art numerical modeling of cloud microphysics. Atmos. Res 55:159–224.

    • Search Google Scholar
    • Export Citation

  • Kozu, T. and T. Iguchi. 1999. Nonuniform beamfilling correction for spaceborne radar rainfall measurement: Implications from TOGA COARE radar data analysis. J. Atmos. Oceanic Technol 16:1722–1735.

    • Search Google Scholar
    • Export Citation

  • Kummerow, C. Coauthors, 2001. The evolution of the Goddard Profiling Algorithm (GPROF) for rainfall estimation from passive microwave sensors. J. Appl. Meteor 40:1801–1820.

    • Search Google Scholar
    • Export Citation

  • Li, X. and R. C. Srivastava. 2001. An analytical solution for raindrop evaporation and its application to radar rainfall measurements. J. Appl. Meteor 40:1607–1616.

    • Search Google Scholar
    • Export Citation

  • Liao, L., R. Meneghini, and T. Iguchi. 2001. Comparisons of rain rate and reflectivity factor derived from the TRMM precipitation radar and the WSR-88D over the Melbourne, Florida, site. J. Atmos. Oceanic Technol 18:1959–1974.

    • Search Google Scholar
    • Export Citation

  • Magono, C. and T. Nakamura. 1965. Aerodynamic studies of falling snowflakes. J. Meteor. Soc. Japan 43:139–147.

  • Marzano, F. S., A. Mugnai, G. Panegrossi, N. Pierdicca, E. A. Smith, and J. Turk. 1999. Bayesian estimation of precipitating cloud parameters from combined measurements of spaceborne microwave radiometer and radar. IEEE Trans. Geosci. Remote Sens 37:596–613.

    • Search Google Scholar
    • Export Citation

  • Meneghini, R., H. Kumagai, J. R. Wang, T. Iguchi, and T. Kozu. 1997. Microphysical retrievals over stratiform rain using measurements from an airborne dual-wavelength radar-radiometer. IEEE Trans. Geosci. Remote Sens 35:487–506.

    • Search Google Scholar
    • Export Citation

  • 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.

    • Search Google Scholar
    • Export Citation

  • Olson, W. S., C. Kummerow, G. M. Heymsfield, I. J. Caylor, and L. Giglio. 1996. A method of combined passive/active microwave retrievals of cloud and precipitation profiles. J. Appl. Meteor 35:1763–1789.

    • Search Google Scholar
    • Export Citation

  • 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.

    • Search Google Scholar
    • Export Citation

  • Passarelli, R. E. and R. C. Srivastava. 1979. A new aspect of snowflake aggregation theory. J. Atmos. Sci 36:484–493.

  • Perica, S. and E. Foufoula-Georgiou. 1996. Model for multiscale disaggregation of spatial rainfall based on coupling meteorological and scaling descriptions. J. Geophys. Res 101:26347–26361.

    • Search Google Scholar
    • Export Citation

  • Petty, G. W. 1994. Physical retrievals of over-ocean rain rate from multichannel microwave imagery. 2. Theoretical characteristics of normalized polarization and scattering indices. Meteor. Atmos. Phys 54:79–99.

    • Search Google Scholar
    • Export Citation

  • Schols, J. L. and J. A. Weinman. 1994. Retrieval of hydrometeor distributions over the ocean from airborne single-frequency radar and multi-frequency radiometric measurements. Atmos. Res 34:329–346.

    • Search Google Scholar
    • Export Citation

  • Skofronick-Jackson, G. M., J. R. Wang, G. M. Heymsfield, R. Hood, W. Manning, R. Meneghini, and J. A. Weinman. 2003. Combined radiometer–radar microphysical profile estimations with emphasis on high-frequency brightness temperature observations. J. Appl. Meteor 42:476–487.

    • Search Google Scholar
    • Export Citation

  • Smith, E. A., F. J. Turk, M. R. Farrar, A. Mugnai, and X. W. Xiang. 1997. Estimating 13.8-GHz path-integrated attenuation from 10.7-GHz brightness temperatures for the TRMM combined PR- TMI precipitation algorithm. J. Appl. Meteor 36:365–388.

    • Search Google Scholar
    • Export Citation

  • Stewart, R. E., J. D. Marwitz, J. C. Pace, and R. E. Carbone. 1984. Characteristics through the melting layer of stratiform clouds. J. Atmos. Sci 41:3227–3237.

    • Search Google Scholar
    • Export Citation

  • Tao, W-K. and J. Simpson. 1993. Goddard Cumulus Ensemble model. Part I: Model description. Terr. Atmos. Oceanic Sci 4:35–72.

  • Testud, J., S. Oury, R. A. Black, P. Amayenc, and X. Dou. 2001. The concept of “normalized” distribution to describe raindrop spectra: A tool for cloud physics and cloud remote sensing. J. Appl. Meteor 40:1118–1140.

    • Search Google Scholar
    • Export Citation

  • Weinman, J. A., R. Meneghini, and K. Nakamura. 1990. Retrieval of precipitation profiles from airborne radar and passive radiometer measurements: Comparison with dual-frequency radar measurements. J. Appl. Meteor 29:981–993.

    • Search Google Scholar
    • Export Citation
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