• Alishouse, J. C., S. A. Snyder, J. Vongsathorn, and R. R. Ferraro, 1990: Determination of oceanic total precipitable water from the SSM/I. IEEE Trans. Geosci. Remote Sens., 28, 811815.

    • Search Google Scholar
    • Export Citation
  • Bertalmío, M., A. Bertozzi, and G. Sapiro, 2001: Navier–Stokes, fluid-dynamics, and image and video inpainting. Proc. Computer Vision and Pattern Recognition 2001, Hawaii, HI, IEEE, I-355.

    • Search Google Scholar
    • Export Citation
  • Dunion, J. P., 2011: Rewriting the climatology of the tropical North Atlantic and Caribbean Sea atmosphere. J. Climate, in press.

  • Dunion, J. P., and C. S. Velden, 2004: The impact of the Saharan air layer on Atlantic tropical cyclone activity. Bull. Amer. Meteor. Soc., 85, 353365.

    • Search Google Scholar
    • Export Citation
  • Germann, U., and I. Zawadzki, 2002: Scale dependence of the predictability of precipitation from continental radar images. Part I: Description of the methodology. Mon. Wea. Rev., 130, 28592873.

    • Search Google Scholar
    • Export Citation
  • Grose, A., E. A. Smith, H.-S. Chung, M.-L. Ou, B.-J. Sohn, and F. J. Turk, 2002: Possibilities and limitations for quantitative precipitation forecasts using nowcasting methods with infrared geosynchronous satellite imagery. J. Appl. Meteor., 41, 763785.

    • Search Google Scholar
    • Export Citation
  • Hohti, H., J. Koistinen, P. Nurmi, E. Saltikoff, and K. Holmund, 2000: Precipitation nowcasting using radar-derived atmospheric motion vectors. Phys. Chem. Earth, 25B, 13231327.

    • Search Google Scholar
    • Export Citation
  • Joyce, R. J., J. E. Janowiak, P. A. Arkin, and P. Xie, 2004: CMORPH: A method that produces global precipitation estimates from passive microwave and infrared data at high spatial and temporal resolution. J. Hydrometeor., 5, 487503.

    • Search Google Scholar
    • Export Citation
  • Kalnay, M. K., and W. E. Baker, 1990: Global numerical weather prediction at the National Meteorological Center. Bull. Amer. Meteor. Soc., 71, 14101428.

    • Search Google Scholar
    • Export Citation
  • Kidder, S. Q., and A. S. Jones, 2007: A blended satellite total precipitable water product for operational forecasting. J. Atmos. Oceanic Technol., 24, 7481.

    • Search Google Scholar
    • Export Citation
  • Lazzara, M. A., C. R. Stearns, J. A. Staude, and S. L. Knuth, 2003: 10 years of Antarctic composite images. Preprints, Seventh Conf. on Polar Meteorology and Oceanography/Joint Symp. on High-Latitude Climate Variations, Hyannis, MA, Amer. Meteor. Soc., 9.4. [Available online at http://ams.confex.com/ams/pdfpapers/60787.pdf.]

    • Search Google Scholar
    • Export Citation
  • NASA MSFC, 2001: AMSR-E data management plan—August 2001. NASA Marshall Space Flight Center. [Available online at http://www.ghcc.msfc.nasa.gov/AMSR/data_management_plan.html.]

    • Search Google Scholar
    • Export Citation
  • Newell, R. E., N. E. Newell, Y. Zhu, and C. Scott, 1992: Tropospheric rivers?—A pilot study. Geophys. Res. Lett., 19, 24012404.

  • NOAA/OSDPD, 2002: General SSMIS information. NOAA/Office of Satellite Data Processing and Distribution. [Available online at http://www.osdpd.noaa.gov/PSB/IMAGES/ssmisdoc.htm.]

    • Search Google Scholar
    • Export Citation
  • Piexoto, J. P., and A. H. Oort, 1992: Physics of Climate. Springer-Verlag, 520 pp.

  • Raytheon, 2000: SSM/I user’s interpretation guide. Rep. UG32268-900, 104 pp. [Available online at http://www.ncdc.noaa.gov/oa/rsad/ssmi/fnoc-ssmi-manual.pdf.]

    • Search Google Scholar
    • Export Citation
  • Wimmers, A. J., and C. S. Velden, 2007: MIMIC: A new approach to visualizing satellite microwave imagery of tropical cyclones. Bull. Amer. Meteor. Soc., 88, 11871196.

    • Search Google Scholar
    • Export Citation
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Seamless Advective Blending of Total Precipitable Water Retrievals from Polar-Orbiting Satellites

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  • 1 Cooperative Institute for Meteorological Satellite Studies, University of Wisconsin—Madison, Madison, Wisconsin
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Abstract

Conventional methods of viewing and combining retrieved geophysical fields from polar-orbiting satellites often complicate the work of end users because of the erratic time differences between overpasses, the significant time gaps between elements of a composite image, or simply the different requirements for interpretation between contributing instruments. However, it is possible to mitigate these issues for any number of retrieved quantities in which the tracer lifetime exceeds the sampling time. This paper presents a method that uses “advective blending” to create high-fidelity composites of data from polar-orbiting satellites at high temporal resolution, including a characterization of error as a function of time gap between satellite overpasses. The method is especially effective for tracers with lifetimes of longer than 7 h. Examples are presented using microwave-based retrievals of total precipitable water (TPW) over the ocean, from the Cooperative Institute for Meteorological Satellite Studies (CIMSS) Morphed Integrated Microwave Imagery at CIMSS TPW product (MIMIC-TPW). The mean average error of a global 0.25° × 0.25° product at 1-h resolution is 0.5–2 mm, which is very reasonable for most applications.

Supplemental information related to this paper is available at the Journals Online Web site.

Corresponding author address: Anthony J. Wimmers, CIMSS, 1225 W. Dayton St., Madison, WI 53706. E-mail: wimmers@ssec.wisc.edu

Abstract

Conventional methods of viewing and combining retrieved geophysical fields from polar-orbiting satellites often complicate the work of end users because of the erratic time differences between overpasses, the significant time gaps between elements of a composite image, or simply the different requirements for interpretation between contributing instruments. However, it is possible to mitigate these issues for any number of retrieved quantities in which the tracer lifetime exceeds the sampling time. This paper presents a method that uses “advective blending” to create high-fidelity composites of data from polar-orbiting satellites at high temporal resolution, including a characterization of error as a function of time gap between satellite overpasses. The method is especially effective for tracers with lifetimes of longer than 7 h. Examples are presented using microwave-based retrievals of total precipitable water (TPW) over the ocean, from the Cooperative Institute for Meteorological Satellite Studies (CIMSS) Morphed Integrated Microwave Imagery at CIMSS TPW product (MIMIC-TPW). The mean average error of a global 0.25° × 0.25° product at 1-h resolution is 0.5–2 mm, which is very reasonable for most applications.

Supplemental information related to this paper is available at the Journals Online Web site.

Corresponding author address: Anthony J. Wimmers, CIMSS, 1225 W. Dayton St., Madison, WI 53706. E-mail: wimmers@ssec.wisc.edu

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