Near-Real-Time Applications of CloudSat Data

Cristian Mitrescu Naval Research Laboratory, Monterey, California

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Steven Miller Naval Research Laboratory, Monterey, California

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Jeffrey Hawkins Naval Research Laboratory, Monterey, California

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Tristan L’Ecuyer Colorado State University, Fort Collins, Colorado

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Joseph Turk Naval Research Laboratory, Monterey, California

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Philip Partain Science and Technology Corporation, Fort Collins, Colorado

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Graeme Stephens Colorado State University, Fort Collins, Colorado

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Abstract

Within 2 months of its launch in April 2006 as part of the Earth Observing System A-Train satellite constellation, the National Aeronautics and Space Administration Earth System Science Pathfinder (ESSP) CloudSat mission began making significant contributions toward broadening the understanding of detailed cloud vertical structures around the earth. Realizing the potential benefit of CloudSat to both the research objectives and operational requirements of the U.S. Navy, the Naval Research Laboratory coordinated early on with the CloudSat Data Processing Center to receive and process first-look 94-GHz Cloud Profiling Radar datasets in near–real time (4–8 h latency), thereby making the observations more relevant to the operational community. Applications leveraging these unique data, described herein, include 1) analysis/validation of cloud structure and properties derived from conventional passive radiometers, 2) tropical cyclone vertical structure analysis, 3) support of research field programs, 4) validation of numerical weather prediction model cloud fields, and 5) quantitative precipitation estimation in light rainfall regimes.

Corresponding author address: Cristian Mitrescu, Naval Research Laboratory, 7 Grace Hopper Ave., MS 2, Monterey, CA 93943-5502. Email: cristian.mitrescu@nrlmry.navy.mil

Abstract

Within 2 months of its launch in April 2006 as part of the Earth Observing System A-Train satellite constellation, the National Aeronautics and Space Administration Earth System Science Pathfinder (ESSP) CloudSat mission began making significant contributions toward broadening the understanding of detailed cloud vertical structures around the earth. Realizing the potential benefit of CloudSat to both the research objectives and operational requirements of the U.S. Navy, the Naval Research Laboratory coordinated early on with the CloudSat Data Processing Center to receive and process first-look 94-GHz Cloud Profiling Radar datasets in near–real time (4–8 h latency), thereby making the observations more relevant to the operational community. Applications leveraging these unique data, described herein, include 1) analysis/validation of cloud structure and properties derived from conventional passive radiometers, 2) tropical cyclone vertical structure analysis, 3) support of research field programs, 4) validation of numerical weather prediction model cloud fields, and 5) quantitative precipitation estimation in light rainfall regimes.

Corresponding author address: Cristian Mitrescu, Naval Research Laboratory, 7 Grace Hopper Ave., MS 2, Monterey, CA 93943-5502. Email: cristian.mitrescu@nrlmry.navy.mil

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  • Hawkins, J. D., T. F. Lee, J. Turk, C. Sampson, J. E. Kent, and K. Richardson, 2001: Real-time Internet distribution of satellite products for tropical cyclone reconnaissance. Bull. Amer. Meteor. Soc., 82 , 567578.

    • Search Google Scholar
    • Export Citation
  • Held, I. M., and B. J. Soden, 2000: Water vapor feedback and global warming. Annu. Rev. Energy Environ., 25 , 441475.

  • Heymsfield, A. J., Z. Wang, and S. Matrosov, 2005: Improved radar ice water content retrieval algorithms using coincident microphysical and radar measurements. J. Appl. Meteor., 44 , 13911412.

    • Search Google Scholar
    • Export Citation
  • Marchand, R. T., G. Mace, T. Ackerman, and G. L. Stephens, 2008: Hydrometeor detection using Cloudsat—An earth-orbiting 94-GHz cloud radar. J. Atmos. Oceanic Technol., 25 , 519533.

    • Search Google Scholar
    • Export Citation
  • Miller, S. D., and Coauthors, 2006a: NexSat: Previewing NPOESS/VIIRS imagery capabilities. Bull. Amer. Meteor. Soc., 87 , 433446.

  • Miller, S. D., J. D. Hawkins, T. F. Lee, F. J. Turk, and K. Richardson, 2006b: MODIS views of Operation Iraqi Freedom in collage. Int. J. Remote Sens., 27 , 12791284.

    • Search Google Scholar
    • Export Citation
  • Miller, S. D., and Coauthors, 2006c: MODIS provides a satellite focus on Operation Iraqi Freedom. Int. J. Remote Sens., 27 , 12851296.

    • Search Google Scholar
    • Export Citation
  • Mitrescu, C., J. M. Haynes, G. L. Stephens, S. D. Miller, G. M. Heymsfield, and M. J. McGill, 2005: Cirrus cloud optical, microphysical and radiative properties observed during the CRYSTAL-FACE experiment: A lidar–radar retrieval system. J. Geophys. Res., 110 .D09208, doi:10.1029/2004JD005605.

    • Search Google Scholar
    • Export Citation
  • Mitrescu, C., S. D. Miller, and R. H. Wade, 2006: Cloud optical and microphysical properties derived from satellite data. Preprints. 14th Conf. on Satellite Meteorology and Oceanography, Atlanta, GA, Amer. Meteor. Soc., P1.7. [Available online at http://ams.confex.com/ams/pdfpapers/100515.pdf.].

    • Search Google Scholar
    • Export Citation
  • Montgomery, M. T., M. E. Nicholls, T. A. Cram, and A. B. Saunders, 2006: A vortical hot tower route to tropical cyclogenesis. J. Atmos. Sci., 63 , 355386.

    • Search Google Scholar
    • Export Citation
  • Sampson, C. R., and A. J. Schrader, 2000: The automated tropical cyclone forecasting system (version 3.2). Bull. Amer. Meteor. Soc., 81 , 12311240.

    • Search Google Scholar
    • Export Citation
  • Schubert, W. H., and J. J. Hack, 1982: Inertial stability and tropical cyclone development. J. Atmos. Sci., 39 , 16871697.

  • Stephens, G. L., and Coauthors, 2002: The CloudSat mission and the A-Train: A new dimension of space-based observations of clouds and precipitation. Bull. Amer. Meteor. Soc., 83 , 17711790.

    • Search Google Scholar
    • Export Citation
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