The Sensitivity of Hurricane Irene to Aerosols and Ocean Coupling: Simulations with WRF Spectral Bin Microphysics

Barry H. Lynn * Department of Atmospheric Sciences, Hebrew University of Jerusalem, Jerusalem, Israel

Search for other papers by Barry H. Lynn in
Current site
Google Scholar
PubMed
Close
,
Alexander P. Khain * Department of Atmospheric Sciences, Hebrew University of Jerusalem, Jerusalem, Israel

Search for other papers by Alexander P. Khain in
Current site
Google Scholar
PubMed
Close
,
Jian Wen Bao NOAA/ESRL, Boulder, Colorado

Search for other papers by Jian Wen Bao in
Current site
Google Scholar
PubMed
Close
,
Sara A. Michelson Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, Colorado

Search for other papers by Sara A. Michelson in
Current site
Google Scholar
PubMed
Close
,
Tianle Yuan Radiation and Climate Laboratory, Goddard Space Flight Center, Greenbelt, Maryland

Search for other papers by Tianle Yuan in
Current site
Google Scholar
PubMed
Close
,
Guy Kelman Weather It Is, Ltd., Efrat, Israel

Search for other papers by Guy Kelman in
Current site
Google Scholar
PubMed
Close
,
Daniel Rosenfeld * Department of Atmospheric Sciences, Hebrew University of Jerusalem, Jerusalem, Israel

Search for other papers by Daniel Rosenfeld in
Current site
Google Scholar
PubMed
Close
,
Jacob Shpund * Department of Atmospheric Sciences, Hebrew University of Jerusalem, Jerusalem, Israel

Search for other papers by Jacob Shpund in
Current site
Google Scholar
PubMed
Close
, and
Nir Benmoshe * Department of Atmospheric Sciences, Hebrew University of Jerusalem, Jerusalem, Israel

Search for other papers by Nir Benmoshe in
Current site
Google Scholar
PubMed
Close
Restricted access

Abstract

Hurricane Irene (2011) moved northward along the eastern coast of the United States and was expected to cause severe wind and flood damage. However, the hurricane weakened much faster than was predicted. Moreover, the minimum pressure in Irene occurred, atypically, about 40 h later than the time of maximum wind speed. Possible reasons for Irene’s weakening and the time shift between maximum wind and minimum central pressure were studied in simulations using WRF with spectral bin microphysics (WRF-SBM) with 1-km grid spacing and ocean coupling. Both ocean coupling and aerosol distribution/concentration were found to influence Irene’s development. Without ocean coupling or with ocean coupling and uniform aerosol distribution, the simulated maximum wind occurred at about the same time as the minimum pressure. With ocean coupling and nonuniform spatial aerosol distributions caused by aerosols from the Saharan air layer (band) and the continental United States, the maximum wind occurred about 40 h before the simulated minimum pressure, in agreement with observations. Concentrations of aerosols of several hundred per cubic centimeter in the inner core were found to initially cause convection invigoration in the simulated eyewall. In contrast, a weakening effect dominated at the mature and the decaying stages, when aerosols from the band and land intensified convection at the simulated storm’s periphery. Simulations made with 3-km instead of 1-km grid spacing suggest that cloud-scale processes interactions are required to correctly simulate the timing differences between maximum wind and minimum pressure.

Corresponding author address: Prof. Alexander Khain, Institute of Earth Sciences, Hebrew University of Jerusalem, Givat Ram, Jerusalem 91904, Israel. E-mail: alexander.khain@mail.huji.ac.il

Abstract

Hurricane Irene (2011) moved northward along the eastern coast of the United States and was expected to cause severe wind and flood damage. However, the hurricane weakened much faster than was predicted. Moreover, the minimum pressure in Irene occurred, atypically, about 40 h later than the time of maximum wind speed. Possible reasons for Irene’s weakening and the time shift between maximum wind and minimum central pressure were studied in simulations using WRF with spectral bin microphysics (WRF-SBM) with 1-km grid spacing and ocean coupling. Both ocean coupling and aerosol distribution/concentration were found to influence Irene’s development. Without ocean coupling or with ocean coupling and uniform aerosol distribution, the simulated maximum wind occurred at about the same time as the minimum pressure. With ocean coupling and nonuniform spatial aerosol distributions caused by aerosols from the Saharan air layer (band) and the continental United States, the maximum wind occurred about 40 h before the simulated minimum pressure, in agreement with observations. Concentrations of aerosols of several hundred per cubic centimeter in the inner core were found to initially cause convection invigoration in the simulated eyewall. In contrast, a weakening effect dominated at the mature and the decaying stages, when aerosols from the band and land intensified convection at the simulated storm’s periphery. Simulations made with 3-km instead of 1-km grid spacing suggest that cloud-scale processes interactions are required to correctly simulate the timing differences between maximum wind and minimum pressure.

Corresponding author address: Prof. Alexander Khain, Institute of Earth Sciences, Hebrew University of Jerusalem, Givat Ram, Jerusalem 91904, Israel. E-mail: alexander.khain@mail.huji.ac.il
Save
  • Avila, L. A., and J. Cangialosi, 2011: Hurricane Irene. National Hurricane Center Tropical Cyclone Rep. AL092011, 45 pp. [Available online at http://www.nhc.noaa.gov/data/tcr/AL092011_Irene.pdf.]

  • Bender, M. A., and I. Ginis, 2000: Real-case simulations of hurricane–ocean interaction using a high-resolution coupled model: Effects on hurricane intensity. Mon. Wea. Rev., 128, 917946, doi:10.1175/1520-0493(2000)128<0917:RCSOHO>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Bender, M. A., I. Ginis, and Y. Kurihara, 1993: Numerical simulations of hurricane–ocean interaction with a high-resolution coupled model. J. Geophys. Res., 98, 23 24523 263, doi:10.1029/93JD02370.

    • Search Google Scholar
    • Export Citation
  • Bigg, E. K., 1953: The formation of atmospheric ice crystals by the freezing of droplets. Quart. J. Roy. Meteor. Soc., 79, 510519, doi:10.1002/qj.49707934207.

    • Search Google Scholar
    • Export Citation
  • Chen, H., D.-L. Zhang, J. Carton, and R. Atlas, 2011: On the rapid intensification of Hurricane Wilma (2005). Part I: Model prediction and structural changes. Wea. Forecasting, 26, 885901, doi:10.1175/WAF-D-11-00001.1.

    • Search Google Scholar
    • Export Citation
  • Clark, A. J., W. A. Gallus Jr., and M. L. Weisman, 2010: Neighborhood-based verification of precipitation forecasts from convection-allowing NCAR WRF Model simulations and the operational NAM. Wea. Forecasting, 25, 14951509, doi:10.1175/2010WAF2222404.1.

    • Search Google Scholar
    • Export Citation
  • Cotton, W. R., H. Zhang, G. M. McFarquhar, and S. M. Saleeby, 2007: Should we consider polluting hurricanes to reduce their intensity? J. Wea. Modif., 39, 7073.

    • Search Google Scholar
    • Export Citation
  • Cotton, W. R., G. M. Krall, and G. G. Carrió, 2012: Potential indirect effects of aerosol on tropical cyclone intensity: Convective fluxes and cold-pool activity. Trop. Cyclone Res. Rev., 1, 293306, doi:10.6057/2012TCRR03.05.

    • Search Google Scholar
    • Export Citation
  • Davis, C., and Coauthors, 2008: Prediction of landfalling hurricanes with the Advanced Hurricane WRF Model. Mon. Wea. Rev., 136, 19902005, doi:10.1175/2007MWR2085.1.

    • Search Google Scholar
    • Export Citation
  • Fierro, A. O., R. F. Rogers, F. D. Marks, and D. S. Nolan, 2009: The impact of horizontal grid spacing on the microphysical and kinematic structures of strong tropical cyclones simulated with the WRF-ARW Model. Mon. Wea. Rev., 137, 37173743, doi:10.1175/2009MWR2946.1.

    • Search Google Scholar
    • Export Citation
  • Gopalakrishnan, S. G., F. Marks, X. Zhang, J.-W. Bao, K.-S. Yeh, and R. Atlas, 2011: The experimental HWRF system: A study on the influence of horizontal resolution on the structure and intensity changes in tropical cyclones using an idealized framework. Mon. Wea. Rev., 139, 17621784, doi:10.1175/2010MWR3535.1.

    • Search Google Scholar
    • Export Citation
  • Gopalakrishnan, S. G., S. Goldenberg, T. Quirino, X. Zhang, F. Marks, K.-S. Yeh, R. Atlas, and V. Tallapragada, 2012: Toward improving high-resolution numerical hurricane forecasting: Influence of model horizontal grid resolution, initialization, and physics. Wea. Forecasting, 27, 647666, doi:10.1175/WAF-D-11-00055.1.

    • Search Google Scholar
    • Export Citation
  • Hazra, A., P. Mukhopadhyay, S. Taraphdar, J.-P. Chen, and W. R. Cotton, 2013: Impact of aerosols on Tropical cyclones: An investigation using convection-permitting model simulation. J. Geophys. Res. Atmos., 118, 71577168, doi:10.1002/jgrd.50546.

    • Search Google Scholar
    • Export Citation
  • Herbener, S. R., S. C. Van den Heever, G. G. Carrió, S. M. Saleeby, and W. R. Cotton, 2014: Aerosol indirect effects on idealized tropical cyclone dynamics. J. Atmos. Sci., 71, 20402055, doi:10.1175/JAS-D-13-0202.1.

    • Search Google Scholar
    • Export Citation
  • Jenkins, G. S., and A. Pratt, 2008: Saharan dust, lightning and tropical cyclones in the eastern tropical Atlantic during NAMMA-06. Geophys. Res. Lett., 35, L12804, doi:10.1029/2008GL033979.

    • Search Google Scholar
    • Export Citation
  • Jenkins, G. S., A. S. Pratt, and A. Heymsfield, 2008: Possible linkages between Saharan dust and tropical cyclone rain band invigoration in the eastern Atlantic during NAMMA-06. Geophys. Res. Lett., 35, L08815, doi:10.1029/2008GL034072.

    • Search Google Scholar
    • Export Citation
  • Jiang, H., 2012: The relationship between tropical cyclone intensity change and the strength of inner-core convection. Mon. Wea. Rev., 140, 11641176, doi:10.1175/MWR-D-11-00134.1.

    • Search Google Scholar
    • Export Citation
  • Khain, A. P., 1984: Mathematical Modeling of Tropical Cyclones. Gidrometeoizdat, 247 pp.

  • Khain, A. P., 2009: Notes on state-of-the-art investigations of aerosol effects on precipitation: A critical review. Environ. Res. Lett., 4, 015004, doi:10.1088/1748-9326/4/1/015004.

    • Search Google Scholar
    • Export Citation
  • Khain, A. P., and G. G. Sutyrin, 1983: Tropical Cyclones and Their Interaction with the Ocean. Gidrometeoizdat, 241 pp.

  • Khain, A. P., and B. Lynn, 2011: Simulation of tropical cyclones using a mesoscale model with spectral bin microphysics. Recent Hurricane Research—Climate, Dynamics, and Societal Impacts, A. R. Lupo, Ed., Intech, 197–227, doi:10.5772/15907.

  • Khain, A. P., 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, 159224, doi:10.1016/S0169-8095(00)00064-8.

    • Search Google Scholar
    • Export Citation
  • Khain, A. P., M. B. Pinsky, M. Shapiro, and A. Pokrovsky, 2001: Collision rate of small graupel and water drops. J. Atmos. Sci., 58, 25712595, doi:10.1175/1520-0469(2001)058<2571:CROSGA>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Khain, A. P., A. Pokrovsky, M. Pinsky, A. Seifert, and V. Phillips, 2004: Effects of atmospheric aerosols on deep convective clouds as seen from simulations using a spectral microphysics mixed-phase cumulus cloud model. Part I: Model description. J. Atmos. Sci., 61, 29632982, doi:10.1175/JAS-3350.1.

    • Search Google Scholar
    • Export Citation
  • Khain, A. P., D. Rosenfeld, and A. Pokrovsky, 2005: Aerosol impact on the dynamics and microphysics of convective clouds. Quart. J. Roy. Meteor. Soc., 131, 26392663, doi:10.1256/qj.04.62.

    • Search Google Scholar
    • Export Citation
  • Khain, A. P., N. BenMoshe, and A. Pokrovsky, 2008a: Factors determining the impact of aerosols on surface precipitation from clouds: An attempt at classification. J. Atmos. Sci., 65, 17211748, doi:10.1175/2007JAS2515.1.

    • Search Google Scholar
    • Export Citation
  • Khain, A. P., N. Cohen, B. Lynn, and A. Pokrovsky, 2008b: Possible aerosol effects on lightning activity and structure of hurricanes. J. Atmos. Sci., 65, 36523667, doi:10.1175/2008JAS2678.1.

    • Search Google Scholar
    • Export Citation
  • Khain, A. P., B. Lynn, and J. Dudhia, 2010: Aerosol effects on intensity of landfalling hurricanes as seen from simulations with the WRF Model with spectral bin microphysics. J. Atmos. Sci., 67, 365384, doi:10.1175/2009JAS3210.1.

    • Search Google Scholar
    • Export Citation
  • Khain, A. P., V. Phillips, N. Benmoshe, and A. Pokrovsky, 2012: The role of small soluble aerosols in the microphysics of deep maritime clouds. J. Atmos. Sci., 69, 27872807, doi:10.1175/2011JAS3649.1.

    • Search Google Scholar
    • Export Citation
  • Ma, Z., J. Fei, L. Liu, X. Huang, and X. Cheng, 2013: Effects of the cold core eddy on tropical cyclone intensity and structure under idealized air–sea interaction conditions. Mon. Wea. Rev., 141, 12851303, doi:10.1175/MWR-D-12-00123.1.

    • Search Google Scholar
    • Export Citation
  • Meyers, M. P., P. J. DeMott, and W. R. Cotton, 1992: New primary ice-nucleation parameterizations in an explicit cloud model. J. Appl. Meteor., 31, 708721, doi:10.1175/1520-0450(1992)031<0708:NPINPI>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Nakanishi, M., 2000: Large-eddy simulation of radiation fog. Bound.-Layer Meteor., 94, 461493, doi:10.1023/A:1002490423389.

  • Nakanishi, M., and H. Niino, 2009: Development of an improved turbulence closure model for the atmospheric boundary layer. J. Meteor. Soc. Japan, 87, 895912, doi:10.2151/jmsj.87.895.

    • Search Google Scholar
    • Export Citation
  • Pinsky, M., A. P. Khain, and M. Shapiro, 2001: Collision efficiency of drops in a wide range of Reynolds numbers: Effects of pressure on spectrum evolution. J. Atmos. Sci., 58, 742764, doi:10.1175/1520-0469(2001)058<0742:CEODIA>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Pollard, R. T., P. B. Rhines, and R. O. R. Y. Thompson, 1972: The deepening of the wind-mixed layer. Geophys. Fluid Dyn., 4, 381404, doi:10.1080/03091927208236105.

    • Search Google Scholar
    • Export Citation
  • Roberts, N. M., and H. W. Lean, 2008: Scale-selective verification of rainfall accumulations from high-resolution forecasts of convective events. Mon. Wea. Rev., 136, 7897, doi:10.1175/2007MWR2123.1.

    • Search Google Scholar
    • Export Citation
  • Rosenfeld, D., U. Lohmann, G. B. Raga, C. D. O’Dowd, M. Kulmala, S. Fuzzi, A. Reissell, and M. O. Andreae, 2008: Flood or drought: How do aerosols affect precipitation? Science, 321, 13091313, doi:10.1126/science.1160606.

    • Search Google Scholar
    • Export Citation
  • Rosenfeld, D., W. L. Woodley, A. Khain, W. R. Cotton, G. Carrió, I. Ginis, and J. H. Golden, 2012: Aerosol effects on microstructure and intensity of tropical cyclones. Bull. Amer. Meteor. Soc., 93, 9871001, doi:10.1175/BAMS-D-11-00147.1.

    • Search Google Scholar
    • Export Citation
  • Schwartz, C. S., 2014: Reproducing the September 2013 record-breaking rainfall over the Colorado front range with high-resolution WRF forecasts. Wea. Forecasting, 29, 393402, doi:10.1175/WAF-D-13-00136.1.

    • Search Google Scholar
    • Export Citation
  • Schwartz, C. S., and Coauthors, 2009: Next-day convection-allowing WRF Model guidance: A second look at 2-km versus 4-km grid spacing. Mon. Wea. Rev., 137, 33513372, doi:10.1175/2009MWR2924.1.

    • Search Google Scholar
    • Export Citation
  • Shpund, J., M. Pinsky, and A. Khain, 2011: Microphysical structure of the marine boundary layer under strong wind and spray formation as seen from simulations using a 2D explicit microphysical model. Part I: The impact of large eddies. J. Atmos. Sci., 68, 23662384, doi:10.1175/2011JAS3652.1.

    • Search Google Scholar
    • Export Citation
  • Shpund, J., J. A. Zhang, M. Pinsky, and A. Khain, 2012: Microphysical structure of the marine boundary layer under strong wind and spray formation as seen from simulations using a 2D explicit microphysical model. Part II: The role of sea spray. J. Atmos. Sci., 69, 35013514, doi:10.1175/JAS-D-11-0281.1.

    • Search Google Scholar
    • Export Citation
  • Shpund, J., J. A. Zhang, M. Pinsky, and A. Khain, 2014: Microphysical structure of the marine boundary layer under strong wind and spray formation as seen from a 2D explicit microphysical model. Part III: Parameterization of height-dependent droplet size distribution. J. Atmos. Sci., 71, 19141934, doi:10.1175/JAS-D-12-0201.1.

    • Search Google Scholar
    • Export Citation
  • Skamarock, W. C., and J. B. Klemp, 2008: A time-split nonhydrostatic atmospheric model for weather research and forecasting applications. J. Comput. Phys., 227, 34653485, doi:10.1016/j.jcp.2007.01.037.

    • Search Google Scholar
    • Export Citation
  • Tao, W.-K., J.-P. Chen, Z. Li, C. Wang, and C. Zhang, 2012: Impact of aerosols on convective clouds and precipitation. Rev. Geophys., 50, RG2001, doi:10.1029/2011RG000369.

    • Search Google Scholar
    • Export Citation
  • Telegraph, 2011: ‘Dangerous’ Hurricane Irene becomes ‘big threat’ to US as evacuations begin. Telegraph, 25 August. [Available online at http://www.telegraph.co.uk/news/worldnews/northamerica/usa/8721766/Dangerous-Hurricane-Irene-becomes-big-threat-to-US-as-evacuations-begin.html.]

  • Vali, G., 1994: Freezing rate due to heterogeneous nucleation. J. Atmos. Sci., 51, 18431856, doi:10.1175/1520-0469(1994)051<1843:FRDTHN>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Wang, Y., 2009: How do outer spiral rainbands affect tropical cyclone structure and intensity? J. Atmos. Sci., 66, 12501273, doi:10.1175/2008JAS2737.1.

    • Search Google Scholar
    • Export Citation
  • Zhang, H., G. M. McFarquhar, W. R. Cotton, and Y. Deng, 2009: Direct and indirect impacts of Saharan dust acting as cloud condensation nuclei on tropical cyclone eyewall development. Geophys. Res. Lett., 36, L06802, doi:10.1029/2009GL037276.

    • Search Google Scholar
    • Export Citation
  • Zhou, X., and B. Wang, 2011: Mechanism of concentric eyewall replacement cycles and associated intensity change. J. Atmos. Sci., 68, 972988, doi:10.1175/2011JAS3575.1.

    • Search Google Scholar
    • Export Citation
  • Zhou, X., B. Wang, X. Ge, and T. Li, 2011: Impact of secondary eyewall heating on tropical cyclone intensity change. J. Atmos. Sci., 68, 450456, doi:10.1175/2010JAS3624.1.

    • Search Google Scholar
    • Export Citation
All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 2273 1431 511
PDF Downloads 459 66 4