Editorial Type:
Article
Article Type:
Research Article

A Combined Multisensor Optimal Estimation Retrieval Algorithm for Oceanic Warm Rain Clouds

Anita D. Rapp Cooperative Institute for Research in Environmental Sciences, University of Colorado, and NOAA Earth System Research Laboratory, Boulder, Colorado

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G. Elsaesser Department of Atmospheric Science, Colorado State University, Fort Collins, Colorado

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C. Kummerow Department of Atmospheric Science, Colorado State University, Fort Collins, Colorado

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Print Publication:
01 Nov 2009
DOI:
https://doi.org/10.1175/2009JAMC2156.1
Page(s):
2242–2256
Restricted access

Abstract

The complicated interactions between cloud processes in the tropical hydrologic cycle and their responses to changes in environmental variables have been the focus of many recent investigations. Most studies that examine the response of the hydrologic cycle to temperature changes focus on deep convection and cirrus production, but recent results suggest that warm rain clouds may be more sensitive to temperature changes. These clouds are prevalent in the tropics and make considerable contributions to the radiation budget and to total tropical rainfall, as well as serving to moisten and precondition the atmosphere for deep convection. A change in the properties of these clouds in climate-change scenarios could have significant implications for the hydrologic cycle. Existing microwave and visible retrievals of warm rain cloud liquid water path (LWP) disagree over the range of sea surface temperatures (SST) observed in the tropical western Pacific Ocean. Although both retrieval methods show similar behavior for nonraining clouds, the two methods show very different warm-rain-cloud LWP responses to SST, both in magnitude and trend. This makes changes to the relationship between precipitation and cloud properties in changing temperature regimes difficult to interpret. A combined optimal estimation retrieval algorithm that takes advantage of the strengths of the different satellite measurements available on the Tropical Rainfall Measuring Mission (TRMM) satellite has been developed. Deconvolved TRMM Microwave Imager brightness temperatures are combined with cloud fraction from the Visible and Infrared Scanner and rainwater estimates from the TRMM precipitation radar to retrieve the cloud LWP in warm rain systems. This algorithm is novel in that it takes into account the water in the rain and estimates the LWP due to only the cloud water in a raining cloud, thus allowing investigation of the effects of precipitation on cloud properties.

Corresponding author address: Anita D. Rapp, CIRES, University of Colorado, and NOAA/ESRL, 325 Broadway, Boulder, CO 80305. Email: anita.d.rapp@noaa.gov

Abstract

The complicated interactions between cloud processes in the tropical hydrologic cycle and their responses to changes in environmental variables have been the focus of many recent investigations. Most studies that examine the response of the hydrologic cycle to temperature changes focus on deep convection and cirrus production, but recent results suggest that warm rain clouds may be more sensitive to temperature changes. These clouds are prevalent in the tropics and make considerable contributions to the radiation budget and to total tropical rainfall, as well as serving to moisten and precondition the atmosphere for deep convection. A change in the properties of these clouds in climate-change scenarios could have significant implications for the hydrologic cycle. Existing microwave and visible retrievals of warm rain cloud liquid water path (LWP) disagree over the range of sea surface temperatures (SST) observed in the tropical western Pacific Ocean. Although both retrieval methods show similar behavior for nonraining clouds, the two methods show very different warm-rain-cloud LWP responses to SST, both in magnitude and trend. This makes changes to the relationship between precipitation and cloud properties in changing temperature regimes difficult to interpret. A combined optimal estimation retrieval algorithm that takes advantage of the strengths of the different satellite measurements available on the Tropical Rainfall Measuring Mission (TRMM) satellite has been developed. Deconvolved TRMM Microwave Imager brightness temperatures are combined with cloud fraction from the Visible and Infrared Scanner and rainwater estimates from the TRMM precipitation radar to retrieve the cloud LWP in warm rain systems. This algorithm is novel in that it takes into account the water in the rain and estimates the LWP due to only the cloud water in a raining cloud, thus allowing investigation of the effects of precipitation on cloud properties.

Corresponding author address: Anita D. Rapp, CIRES, University of Colorado, and NOAA/ESRL, 325 Broadway, Boulder, CO 80305. Email: anita.d.rapp@noaa.gov

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Journal of Applied Meteorology and Climatology

  • Backus, G., and F. Gilbert, 1970: Uniqueness in the inversion of inaccurate gross earth data. Philos. Trans. Roy. Soc. London, A266 , 123–192.

    • Search Google Scholar
    • Export Citation

  • Berg, W., T. L’Ecuyer, and C. Kummerow, 2006: Rainfall climate regimes: The relationship of regional TRMM rainfall biases to the environment. J. Appl. Meteor. Climatol., 45 , 434–454.

    • Search Google Scholar
    • Export Citation

  • Bladé, I., and D. L. Hartmann, 1993: Tropical intraseasonal oscillations in a simple nonlinear model. J. Atmos. Sci., 50 , 2922–2939.

    • Search Google Scholar
    • Export Citation

  • Deblonde, G., and S. J. English, 2001: Evaluation of the FASTEM-2 fast microwave ocean surface emissivity model. Tech. Proc. 11th Int. TOVS Study Conf., Budapest, Hungary, 67–78.

    • Search Google Scholar
    • Export Citation

  • Del Genio, A. D., W. Kovari, M. S. Yao, and J. Jonas, 2005: Cumulus microphysics and climate sensitivity. J. Climate, 18 , 2376–2387.

    • Search Google Scholar
    • Export Citation

  • 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.

    • Search Google Scholar
    • Export Citation

  • Farrar, M. R., and E. A. Smith, 1992: Spatial-resolution enhancement of terrestrial features using deconvolved SSM/I microwave brightness temperatures. IEEE Trans. Geosci. Remote Sens., 30 , 349–355.

    • Search Google Scholar
    • Export Citation

  • Han, Q., W. B. Rossow, and A. A. Lacis, 1994: Near-global survey of effective droplet radii in liquid water clouds using ISCCP data. J. Climate, 7 , 465–497.

    • Search Google Scholar
    • Export Citation

  • Hartmann, D. L., and K. Larson, 2002: An important constraint on tropical cloud–climate feedback. Geophys. Res. Lett., 29 , 1951. doi:10.1029/2002GL015835.

    • Search Google Scholar
    • Export Citation

  • Haynes, J., 2008: The near-global distribution of light rain from CloudSat. Ph.D. dissertation, Dept. of Atmospheric Science, Colorado State University, 229 pp.

  • Hu, Q., and D. A. Randall, 1994: Low-frequency oscillations in radiative–convective systems. J. Atmos. Sci., 51 , 1089–1099.

    • 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

  • Johnson, R. H., T. M. Rickenbach, S. A. Rutledge, P. E. Ciesielski, and W. H. Schubert, 1999: Trimodal characteristics of tropical convection. J. Climate, 12 , 2397–2418.

    • Search Google Scholar
    • Export Citation

  • Johnson, R. H., P. E. Ciesielski, and J. A. Cotturone, 2001: Multiscale variability of the atmospheric mixed layer over the western Pacific warm pool. J. Atmos. Sci., 58 , 2729–2750.

    • Search Google Scholar
    • Export Citation

  • Kalnay, E., and Coauthors, 1996: The NCEP/NCAR 40-Year Reanalysis Project. Bull. Amer. Meteor. Soc., 77 , 437–471.

  • Kemball-Cooke, S. R., and B. C. Weare, 2001: The onset of convection in the Madden–Julian oscillation. J. Climate, 14 , 780–793.

    • Search Google Scholar
    • Export Citation

  • Khairoutdinov, M., and Y. Kogan, 2000: A new cloud physics parameterization in a large-eddy simulation model of marine stratocumulus. Mon. Wea. Rev., 128 , 229–243.

    • Search Google Scholar
    • Export Citation

  • King, M. D., S-C. Tsay, S. E. Platnick, M. Wang, and K-N. Liou, 1997: Cloud retrieval algorithms for MODIS: Optical thickness, effective particle radius, and thermodynamic phase. MODIS Algorithm Theoretical Basis Doc. ATBD-MOD-05, MOD06-Cloud product, 83 pp.

    • Search Google Scholar
    • Export Citation

  • Kohn, D. J., 1995: Refinement of a semi-empirical model for the microwave emissivity of the sea surface as a function of wind speed. M.S. thesis, Dept. of Meteorology, Texas A&M University, 44 pp.

  • 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 , 808–816.

    • Search Google Scholar
    • Export Citation

  • Lau, K. M., and H. T. Wu, 2003: Warm rain processes over tropical oceans and climate implications. Geophys. Res. Lett., 30 , 2290. doi:10.1029/2003GL018567.

    • Search Google Scholar
    • Export Citation

  • Lau, K. M., H. T. Wu, Y. C. Sud, and G. K. Walker, 2005: Effects of cloud microphysics on tropical atmospheric hydrologic processes and intraseasonal variability. J. Climate, 18 , 4731–4751.

    • Search Google Scholar
    • Export Citation

  • Liebe, H. J., G. A. Hufford, and T. Manabe, 1991: A model for the complex permittivity of water at frequencies below 1 THz. Int. J. Infrared Millimeter Waves, 12 , 659–675.

    • Search Google Scholar
    • Export Citation

  • Liebe, H. J., G. A. Hufford, and M. G. Cotton, 1993: Propagation modeling of moist air and suspended water particles at frequencies below 1000 GHz. Proc. Conf. on Atmospheric Propagation Effects through Natural and Man-Made Obscurants for Visible to MM-Wave Radiation, AGARD-CP-542, Neuilly sur Seine, France, Advisory Group for Aerospace Research and Development, 3-1–3-10.

    • Search Google Scholar
    • Export Citation

  • Lindzen, R. S., M-D. Chou, and A. Hou, 2001: Does the earth have an adaptive infrared iris? Bull. Amer. Meteor. Soc., 82 , 417–432.

    • Search Google Scholar
    • Export Citation

  • Long, D. G., and D. L. Daum, 1998: Spatial resolution enhancement of SSM/I data. IEEE Trans. Geosci. Remote Sens., 36 , 407–417.

  • Marks, C. J., and C. D. Rodgers, 1993: Determination of characteristic features of cloud liquid water from satellite microwave measurements. J. Geophys. Res., 98 , 5069–5092.

    • Search Google Scholar
    • Export Citation

  • Marshall, J. S., and W. M. Palmer, 1948: The distribution of raindrops with size. J. Meteor., 5 , 165–166.

  • Nakajima, T., and M. D. King, 1990: Determinations of the optical thickness and effective particle radius of clouds from reflected solar radiation measurements. Part I: Theory. J. Atmos. Sci., 47 , 1878–1893.

    • Search Google Scholar
    • Export Citation

  • Nakajima, T. Y., and T. Nakajima, 1995: Wide-area determination of cloud microphysical properties from NOAA AVHRR measurements for FIRE and ASTEX regions. J. Atmos. Sci., 52 , 4043–4059.

    • Search Google Scholar
    • Export Citation

  • O’Dell, C. W., F. J. Wentz, and R. Bennartz, 2008: Cloud liquid water path from satellite-based passive microwave observations: A new climatology over the global oceans. J. Climate, 21 , 1721–1739.

    • Search Google Scholar
    • Export Citation

  • Petty, G. W., 1999: Prevalence of precipitation from warm-topped clouds over eastern Asia and the western Pacific. J. Climate, 12 , 220–229.

    • Search Google Scholar
    • Export Citation

  • Platnick, S., and F. P. Valero, 1995: A validation of a satellite cloud retrieval during ASTEX. J. Atmos. Sci., 52 , 2985–3001.

  • Platnick, S., M. D. King, S. A. Ackerman, W. P. Menzel, B. A. Baum, J. C. Riédi, and R. A. Frey, 2003: The MODIS cloud products: Algorithms and examples from Terra. IEEE Trans. Geosci. Remote Sens., 41 , 459–473.

    • Search Google Scholar
    • Export Citation

  • Ramanathan, V., and W. Collins, 1991: Thermodynamic regulation of ocean warming by cirrus clouds deduced from observations of the 1987 El Niño. Nature, 351 , 27–32.

    • Search Google Scholar
    • Export Citation

  • Rapp, A. D., C. D. Kummerow, W. Berg, and B. Griffith, 2005: An evaluation of the proposed mechanism of the adaptive infrared iris hypothesis using TRMM VIRS and PR measurements. J. Climate, 18 , 4185–4194.

    • Search Google Scholar
    • Export Citation

  • Raymond, D. J., and D. J. Torres, 1998: Fundamental moist modes of the equatorial troposphere. J. Atmos. Sci., 55 , 1771–1790.

  • Robinson, W., C. Kummerow, and W. S. Olson, 1992: A technique for matching the resolution of microwave measurements from the SSM/I instrument. IEEE Trans. Geosci. Remote Sens., 30 , 419–429.

    • Search Google Scholar
    • Export Citation

  • Rodgers, C. D., 1976: Retrieval of atmospheric temperature and composition from remote measurements of thermal radiation. Rev. Geophys. Space Phys., 4 , 609–624.

    • Search Google Scholar
    • Export Citation

  • Rodgers, C. D., 2000: Inverse Methods For Atmospheric Sounding: Theory and Practice. World Scientific, 238 pp.

  • Rosenfeld, D., and G. Gutman, 1994: Retrieving microphysical properties near the tops of potential rain clouds by multispectral analysis of AVHRR data. Atmos. Res., 34 , 259–283.

    • Search Google Scholar
    • Export Citation

  • Rosenkranz, P. W., 1998: Water vapor microwave continuum absorption: A comparison of measurements and models. Radio Sci., 33 , 919–928.

    • Search Google Scholar
    • Export Citation

  • Simpson, J., C. Kummerow, W. K. Tao, and R. F. Adler, 1996: On the Tropical Rainfall Measuring Mission (TRMM). Meteor. Atmos. Phys., 60 , 19–36.

    • Search Google Scholar
    • Export Citation

  • 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 , 1771–1790.

    • Search Google Scholar
    • Export Citation

  • Stephens, G. L., P. J. Webster, R. H. Johnson, R. Engelen, and T. L’Ecuyer, 2004: Observational evidence for the mutual regulation of the tropical hydrological cycle and tropical sea surface temperature. J. Climate, 17 , 2213–2224.

    • Search Google Scholar
    • Export Citation

  • Stogryn, A., 1978: Estimates of brightness temperatures from scanning radiometer data. IEEE Trans. Antennas Propagat., AP-26 , 720–726.

    • Search Google Scholar
    • Export Citation

  • Wentz, F. J., and T. Meissner, 2000: AMSR Ocean Algorithm: ATBD version 2. RSS Tech. Proposal 121599A-1, 66 pp. [Available online at http://www.remss.com/papers/amsr/AMSR_Ocean_Algorithm_Version_2.pdf].

    • Search Google Scholar
    • Export Citation

  • Wentz, F. J., C. Gentemann, D. Smith, and D. Chelton, 2000: Satellite measurements of sea surface temperatures through clouds. Science, 288 , 847–850.

    • Search Google Scholar
    • Export Citation

  • Wilheit, T. T., 1979a: The effect of wind on the microwave emission from the ocean’s surface at 37 GHz. J. Geophys. Res., 84 , 4921–4926.

    • Search Google Scholar
    • Export Citation

  • Wilheit, T. T., 1979b: A model for the microwave emissivity of the ocean’s surface as a function of wind speed. IEEE Trans. Geosci. Electron., 17 , 244–249.

    • Search Google Scholar
    • Export Citation

  • Zuidema, P., E. R. Westwater, C. Fairall, and D. Hazen, 2005: Ship-based liquid water path estimates in marine stratocumulus. J. Geophys. Res., 110 , D20206. doi:10.1029/2005JD005833.

    • Search Google Scholar
    • Export Citation
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