A New Three-Dimensional Visualization System for Combining Aircraft and Radar Data and Its Application to RICO Observations

Dan K. Arthur Department of Earth and Atmospheric Sciences, Purdue University, West Lafayette, Indiana

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Sonia Lasher-Trapp Department of Earth and Atmospheric Sciences, Purdue University, West Lafayette, Indiana

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Ayman Abdel-Haleem Purdue University Rendering and Perceptualization Laboratory, West Lafayette, Indiana

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Nicholas Klosterman Purdue University Rendering and Perceptualization Laboratory, West Lafayette, Indiana

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David S. Ebert Purdue University Rendering and Perceptualization Laboratory, West Lafayette, Indiana

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Abstract

The analysis of diverse datasets from meteorological field campaigns often involves the use of separate 1D or combined 2D plots from various applications, making the determination of spatial and temporal relationships and correlations among these data, and the overall synthesis of information, extremely challenging. Presented here is a new 3D visualization tool, the Aircraft and Radar Data Collocation and Analysis in 3D (ARCA3D), that can combine data collected from different sources and at different scales, utilizing advanced visualization and user interface techniques, which allows for easier comparison and synthesis of such disparate data. The 3D tool is demonstrated with aircraft-based microphysical probe data and ground-based dual-polarization radar data all collected during the Rain in Cumulus over the Ocean (RICO) field campaign. The 3D volumes of radar data can be interactively selected and quantitatively probed, while aircraft-measured variables can be viewed along the aircraft track plotted within the 3D radar volumes or plotted as time series within regions of interest relative to the radar echoes. The greatest benefits of the new software, the 3D viewing of large radar and aircraft datasets with user-driven controls, are difficult to communicate here in a static, 2D written medium, but the application of the tool toward a research problem is presented to elucidate the impacts of these benefits. The ARCA3D software is used to investigate the possible role of giant aerosol particles in the development of precipitation in trade wind cumuli. The temporal trends in the spatial location of the maximum differential reflectivity echoes within the clouds are examined with respect to the ambient giant aerosol number concentration and the measured cloud-base droplet number concentrations on 10 days. The results indicate that in trade wind cumuli of sufficient depth, giant aerosol may determine the original location of the earliest differential reflectivity maximum echo, and thus the first raindrops when present in higher number concentrations. However, when the giant aerosol are less plentiful, the number of cloud droplets activated above the cloud base may also play a role in determining the location of the earliest maximum differential reflectivity echo, and thus the earliest raindrops, in these trade wind cumuli.

Corresponding author address: Dan K. Arthur, Dept. of Earth and Atmospheric Sciences, Purdue University, 550 Stadium Mall Dr., West Lafayette, IN 47907. Email: dkarthur@purdue.edu

Abstract

The analysis of diverse datasets from meteorological field campaigns often involves the use of separate 1D or combined 2D plots from various applications, making the determination of spatial and temporal relationships and correlations among these data, and the overall synthesis of information, extremely challenging. Presented here is a new 3D visualization tool, the Aircraft and Radar Data Collocation and Analysis in 3D (ARCA3D), that can combine data collected from different sources and at different scales, utilizing advanced visualization and user interface techniques, which allows for easier comparison and synthesis of such disparate data. The 3D tool is demonstrated with aircraft-based microphysical probe data and ground-based dual-polarization radar data all collected during the Rain in Cumulus over the Ocean (RICO) field campaign. The 3D volumes of radar data can be interactively selected and quantitatively probed, while aircraft-measured variables can be viewed along the aircraft track plotted within the 3D radar volumes or plotted as time series within regions of interest relative to the radar echoes. The greatest benefits of the new software, the 3D viewing of large radar and aircraft datasets with user-driven controls, are difficult to communicate here in a static, 2D written medium, but the application of the tool toward a research problem is presented to elucidate the impacts of these benefits. The ARCA3D software is used to investigate the possible role of giant aerosol particles in the development of precipitation in trade wind cumuli. The temporal trends in the spatial location of the maximum differential reflectivity echoes within the clouds are examined with respect to the ambient giant aerosol number concentration and the measured cloud-base droplet number concentrations on 10 days. The results indicate that in trade wind cumuli of sufficient depth, giant aerosol may determine the original location of the earliest differential reflectivity maximum echo, and thus the first raindrops when present in higher number concentrations. However, when the giant aerosol are less plentiful, the number of cloud droplets activated above the cloud base may also play a role in determining the location of the earliest maximum differential reflectivity echo, and thus the earliest raindrops, in these trade wind cumuli.

Corresponding author address: Dan K. Arthur, Dept. of Earth and Atmospheric Sciences, Purdue University, 550 Stadium Mall Dr., West Lafayette, IN 47907. Email: dkarthur@purdue.edu

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  • Arthur, D. K., 2009: Radar and aircraft observations of precipitation evolution in trade wind cumuli. M.S. thesis, Dept. of Earth and Atmospheric Sciences, Purdue University, 125 pp.

  • Beard, K. V., and Ochs H. T. III, 1993: Warm-rain initiation: An overview of microphysical mechanisms. J. Appl. Meteor., 32 , 608625.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Blyth, A. M., Lasher-Trapp S. G. , Cooper W. A. , Knight C. A. , and Latham J. , 2003: The role of giant and ultragiant nuclei in the formation of early radar echoes in warm cumulus clouds. J. Atmos. Sci., 60 , 25572572.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Bringi, V. N., Burrows D. A. , and Menon S. M. , 1991: Multiparameter radar and aircraft study of raindrop spectral evolution in warm-based clouds. J. Appl. Meteor., 30 , 853880.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Carneiro, B., Silva C. , and Kaufman A. , 1996: Tetra-Cubes: An algorithm to generate 3D isosurfaces based upon tetrahedra. Proc. Ninth Brazilian Symp. on Computer Graphics and Image Processing, Rio de Janeiro, Brazil, Brazilian Computer Society, 205–210.

    • Search Google Scholar
    • Export Citation
  • Clyne, J., Mininni P. , Norton A. , and Rast M. , 2007: Interactive desktop analysis of high-resolution simulations: Application to turbulent plume dynamics and current sheet formation. New J. Phys., 9 , 301.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Colón-Robles, M., Rauber R. M. , and Jensen J. B. , 2006: Influence of low-level wind speed on droplet spectra near cloud base in trade wind cumulus. Geophys. Res. Lett., 33 , L20814. doi:10.1029/2006GL027487.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • de Leeuw, G., 1986: Vertical profiles of giant particles close above the sea surface. Tellus, 38B , 5161.

  • Ellis, S. M., Vivekanandan J. , Goeke S. , Brandes E. A. , Stith J. , and Keeler R. J. , 2001: In-situ verification of remote aircraft icing detection using S-band polarization radar measurements. Preprints, 30th Int. Conf. On Radar Meteorology, Munich, Germany, Amer. Meteor. Soc., 2B.6. [Available online at http://ams.confex.com/ams/30radar/techprogram/paper_21989.htm].

    • Search Google Scholar
    • Export Citation
  • Feingold, G., Cotton W. R. , Kreidenweis S. M. , and Davis J. T. , 1999: The impact of giant cloud condensation nuclei on drizzle formation in stratocumulus: Implications for cloud radiative properties. J. Atmos. Sci., 56 , 41004117.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • French, J. R., Vali G. , and Kelly R. D. , 1999: Evolution of small cumulus clouds in Florida: Observations of pulsating growth. Atmos. Res., 52 , 143165.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Göke, S., Ochs H. T. III, and Rauber R. M. , 2007: Radar analysis of precipitation initiation in maritime versus continental clouds near the Florida coast: Inferences concerning the role of CCN and giant nuclei. J. Atmos. Sci., 64 , 36953707.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hibbard, B., Kellum J. , Paul B. , Santek D. , and Battaiola A. , cited. 2009: Vis5D documentation. [Available online at http://vis5d.sourceforge.net/doc/].

    • Search Google Scholar
    • Export Citation
  • Hudson, J. G., and Yum S. S. , 2001: Maritime–continental drizzle contrasts in small cumuli. J. Atmos. Sci., 58 , 915926.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Hudson, J. G., and Mishra S. , 2007: Relationships between CCN and cloud microphysics variations in clean maritime air. Geophys. Res. Lett., 34 , L16804. doi:10.1029/2007GL030044.

    • Search Google Scholar
    • Export Citation
  • Hudson, J. G., Noble S. , Jha V. , and Mishra S. , 2009: Correlations of small cumuli droplet and drizzle drop concentrations with cloud condensation nuclei concentrations. J. Geophys. Res., 114 , D05201. doi:10.1029/2008JD010581.

    • Search Google Scholar
    • Export Citation
  • Johnson, D. B., 1982: The role of giant and ultragiant aerosol particles in warm-rain initiation. J. Atmos. Sci., 39 , 448460.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Keeler, R. J., Lutz J. , and Vivekanandan J. , 2000: S-Pol: NCAR’s polarimetric Doppler research radar. Proc. IGARSS-2000, Honolulu, HI, Institute of Electrical and Electronics Engineers, 1570–1573.

    • Search Google Scholar
    • Export Citation
  • Knight, C. A., and Miller L. J. , 1993: First radar echoes from cumulus clouds. Bull. Amer. Meteor. Soc., 74 , 179188.

  • Knight, C. A., and Miller L. J. , 1998: Early radar echoes from small, warm cumulus: Bragg and hydrometeor scattering. J. Atmos. Sci., 55 , 29742992.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Knight, C. A., Vivekanandan J. , and Lasher-Trapp S. G. , 2002: First radar echoes and the early ZDR history of Florida cumulus. J. Atmos. Sci., 59 , 14541472.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Knight, C. A., Miller L. J. , and Rilling R. A. , 2008: Aspects of precipitation development in trade wind cumulus revealed by differential reflectivity at S band. J. Atmos. Sci., 65 , 25632580.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Laird, N. F., Ochs H. T. , Rauber R. M. , and Miller L. J. , 2000: Initial precipitation formation in warm Florida cumulus. J. Atmos. Sci., 57 , 37403751.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lasher-Trapp, S. G., Knight C. A. , and Straka J. M. , 2001: Early radar echoes from ultragiant aerosol in a cumulus congestus: Modeling and observations. J. Atmos. Sci., 58 , 35453561.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lasher-Trapp, S. G., Anderson-Bereznicki S. , Shackelford A. , Twohy C. H. , and Hudson J. G. , 2008: An investigation of the influence of droplet number concentration and giant aerosol particles upon supercooled large drop formation in wintertime stratiform clouds. J. Appl. Meteor. Climatol., 47 , 26592678.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lawrence Livermore National Laboratory, cited. 2009: CF metadata: NetCDF Climate and Forecast (CF) metadata convention. [Available online at http://cf-pcmdi.llnl.gov/].

    • Search Google Scholar
    • Export Citation
  • LeMone, M. A., 1980: The marine boundary layer. Proc. Workshop on the Planetary Boundary Layer, Boulder, CO, Amer. Meteor. Soc., 182–231.

    • Search Google Scholar
    • Export Citation
  • LeMone, M. A., and Meitin R. J. , 1984: Three examples of fair-weather mesoscale boundary layer convection in the tropics. Mon. Wea. Rev., 112 , 19851997.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lewis, E. R., and Schwartz S. E. , 2004: Sea Salt Aerosol Production. Amer. Geophys. Union, 413 pp.

  • McCaslin, P., McDonald P. , and Szoke E. , cited. 2009: Developing and testing a 3D visualization workstation application at FSL. Earth System Research Laboratory. [Available online at http://laps.noaa.gov/d3d/ams99/paper/Developing_D3D.html].

    • Search Google Scholar
    • Export Citation
  • Nuijens, L., Stevens B. , and Pier Siebesma A. , 2009: The environment of precipitating shallow cumulus convection. J. Atmos. Sci., 66 , 19621979.

  • Oye, R., Mueller C. , and Smith S. , 1995: Software for radar translation, visualization, editing, and interpolation. Preprints, 27th Conf. on Radar Meteorology, Vail, CO, Amer. Meteor. Soc., 359–361.

    • Search Google Scholar
    • Export Citation
  • Paluch, I. R., and Knight C. A. , 1986: Does mixing promote cloud droplet growth? J. Atmos. Sci., 43 , 19941998.

  • Rauber, R. M., and Coauthors, 2007: Rain in shallow cumulus over the ocean—The RICO campaign. Bull. Amer. Meteor. Soc., 88 , 19121928.

  • Reiche, C., and Lasher-Trapp S. , 2010: The minor importance of giant aerosol to precipitation development within small trade-wind cumuli observed during RICO. Atmos. Res., 95 , 386399.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Rinehart, R. E., 2004: Radar for Meteorologists. Rinehart Publishing, 482 pp.

  • Saunders, P. M., 1965: Some characteristics of tropical marine showers. J. Atmos. Sci., 22 , 167175.

  • Snodgrass, E. R., 2006: Precipitation characteristics of trade wind clouds during RICO derived from radar, satellite, and aircraft measurements. M.S. thesis, Dept. of Atmospheric Sciences, University of Illinois at Urbana–Champaign, 101 pp.

  • Space Science and Engineering Center, cited. 2009: McIDAS: Man computer interactive data access system. University of Wisconsin—Madison. [Available online at http://www.ssec.wisc.edu/mcidas/].

    • Search Google Scholar
    • Export Citation
  • Unidata Program Group, cited. 2009a: Unidata’s integrated data viewer. University Corporation for Atmospheric Research. [Available online at http://www.unidata.ucar.edu/software/idv/docs/userguide/].

    • Search Google Scholar
    • Export Citation
  • Unidata Program Group, cited. 2009b: NetCDF. University Corporation for Atmospheric Research. [Available online at http://www.unidata.ucar.edu/software/netcdf/].

    • Search Google Scholar
    • Export Citation
  • Vincenty, T., 1975: Direct and inverse solutions of geodesics on the ellipsoid with application of nested equations. Survey Rev. XXII, 176 , 8893.

    • Search Google Scholar
    • Export Citation
  • Vivekanandan, J., Adams W. M. , and Bringi V. N. , 1991: Rigorous approach to polarimetric radar modeling of hydrometeor orientation distributions. J. Appl. Meteor., 30 , 10531063.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Woodcock, A. H., 1953: Salt nuclei in marine air as a function of altitude and wind force. J. Meteor., 10 , 362371.

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