Editorial Type:
Article
Article Type:
Research Article

Sensitivity of Modeled Precipitation to Sea Surface Temperature in Regions with Complex Topography and Coastlines: A Case Study for the Mediterranean

Alfonso Senatore Department of Environmental and Chemical Engineering, University of Calabria, Rende, Italy

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Giuseppe Mendicino Department of Environmental and Chemical Engineering, University of Calabria, Rende, Italy

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Hans Richard Knoche Institute of Meteorology and Climate Research–Atmospheric Environmental Research (IMK-IFU), Karlsruhe Institute of Technology, Garmisch-Partenkirchen, Germany

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Harald Kunstmann Institute of Meteorology and Climate Research–Atmospheric Environmental Research (IMK-IFU), Karlsruhe Institute of Technology, Garmisch-Partenkirchen, Germany

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Print Publication:
01 Dec 2014
DOI:
https://doi.org/10.1175/JHM-D-13-089.1
Page(s):
2370–2396
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Abstract

An analysis of the effects of SST representation on precipitation in long-term continuous simulations was carried out for the Mediterranean peninsula of Calabria, Italy, which is characterized by complex coastlines and orography. A parameterization analysis was performed to find an optimal model configuration, using a method where SST fields are directly ingested from NCEP datasets into the Weather Research and Forecasting (WRF) Model lower boundary condition files. The results of the optimal configuration were used for a comparison with recorded precipitation patterns for a very wet period (from November 2008 to January 2009), adopting several interpolation options available in the WRF Preprocessing System. An additional comparison was made against a uniform variation of the original SST fields by ε = ±0.5 K. It was found that the interpolation options mainly affect near-coastline SSTs, where methods requiring fewer source data points have several advantages. Effects of SST representation on precipitation, accumulated over the whole 3-month period, are generally lower than ±2%, but a specific class of events (synoptic situations) with strong differences in precipitation patterns was identified. These events are connected to pressure systems moving from the African coast to the north and approaching the Sicilian and Calabrian coastlines. Two of these events, which occurred on 27–29 December 2008 and 9 January 2009, were analyzed in detail, highlighting that small variations of SST values induce slight shifts in the paths of the weather fronts. These slight shifts are important enough to determine whether or not wet air masses can reach the mountain ranges close to the coast, where rainfall intensity is enhanced by orographic effects.

Corresponding author address: Alfonso Senatore, Dept. of Environmental and Chemical Engineering, University of Calabria, via P. Bucci 41b, 87036 Rende (CS), Italy. E-mail: alfonso.senatore@unical.it

Abstract

An analysis of the effects of SST representation on precipitation in long-term continuous simulations was carried out for the Mediterranean peninsula of Calabria, Italy, which is characterized by complex coastlines and orography. A parameterization analysis was performed to find an optimal model configuration, using a method where SST fields are directly ingested from NCEP datasets into the Weather Research and Forecasting (WRF) Model lower boundary condition files. The results of the optimal configuration were used for a comparison with recorded precipitation patterns for a very wet period (from November 2008 to January 2009), adopting several interpolation options available in the WRF Preprocessing System. An additional comparison was made against a uniform variation of the original SST fields by ε = ±0.5 K. It was found that the interpolation options mainly affect near-coastline SSTs, where methods requiring fewer source data points have several advantages. Effects of SST representation on precipitation, accumulated over the whole 3-month period, are generally lower than ±2%, but a specific class of events (synoptic situations) with strong differences in precipitation patterns was identified. These events are connected to pressure systems moving from the African coast to the north and approaching the Sicilian and Calabrian coastlines. Two of these events, which occurred on 27–29 December 2008 and 9 January 2009, were analyzed in detail, highlighting that small variations of SST values induce slight shifts in the paths of the weather fronts. These slight shifts are important enough to determine whether or not wet air masses can reach the mountain ranges close to the coast, where rainfall intensity is enhanced by orographic effects.

Corresponding author address: Alfonso Senatore, Dept. of Environmental and Chemical Engineering, University of Calabria, via P. Bucci 41b, 87036 Rende (CS), Italy. E-mail: alfonso.senatore@unical.it
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  • Bertotti, L., Miglietta M. M. , and Davolio S. , 2009: Coupling of high-resolution meteorological and wave models over southern Italy. Nat. Hazards Earth Syst. Sci., 9, 1267–1275, doi:10.5194/nhess-9-1267-2009.

    • Search Google Scholar
    • Export Citation

  • Boé, J., Hall A. , Colas F. , McWilliams J. C. , Qu X. , Kurian J. , and Kapnick S. B. , 2011: What shapes mesoscale wind anomalies in coastal upwelling zones? Climate Dyn., 36, 2037–2049, doi:10.1007/s00382-011-1058-5.

    • Search Google Scholar
    • Export Citation

  • Bond, N. A., Cronin M. F. , and Garvert M. , 2010: Atmospheric sensitivity to SST near the Kuroshio Extension during the extratropical transition of Typhoon Tokage. Mon. Wea. Rev., 138, 2644–2663, doi:10.1175/2010MWR3198.1.

    • Search Google Scholar
    • Export Citation

  • Bongirwar, V., Rakesh V. , Kishtawal C. M. , and Joshi P. C. , 2011: Impact of satellite observed microwave SST on the simulation of tropical cyclones. Nat. Hazards, 58, 929–944, doi:10.1007/s11069-010-9699-y.

    • Search Google Scholar
    • Export Citation

  • Booth, J. F., Thompson L. , Patoux J. , and Kelly K. A. , 2012: Sensitivity of midlatitude storm intensification to perturbations in the sea surface temperature near the Gulf Stream. Mon. Wea. Rev., 140, 1241–1256, doi:10.1175/MWR-D-11-00195.1.

    • Search Google Scholar
    • Export Citation

  • Borge, R., Alexandrov V. , del Vas J. J. , Lumbreras J. , and Rodrguez E. , 2008: A comprehensive sensitivity analysis of the WRF Model for air quality applications over the Iberian Peninsula. Atmos. Environ., 42, 8560–8574, doi:10.1016/j.atmosenv.2008.08.032.

    • Search Google Scholar
    • Export Citation

  • Caldwell, P., Chin H.-N. S. , Bader D. C. , and Bala G. , 2009: Evaluation of a WRF dynamical downscaling simulation over California. Climatic Change, 95, 499–521, doi:10.1007/s10584-009-9583-5.

    • Search Google Scholar
    • Export Citation

  • Case, J. L., Kumar S. V. , Srikishen J. , and Jedlovec G. J. , 2011: Improving numerical weather predictions of summertime precipitation over the southeastern United States through a high-resolution initialization of the surface state. Wea. Forecasting, 26, 785–807, doi:10.1175/2011WAF2222455.1.

    • Search Google Scholar
    • Export Citation

  • Cha, Y. M., Lee H. W. , and Lee S. H. , 2011: Impacts of the high-resolution sea surface temperature distribution on modeled snowfall formation over the Yellow Sea during a cold-air outbreak. Wea. Forecasting, 26, 487–503, doi:10.1175/WAF-D-10-05019.1.

    • Search Google Scholar
    • Export Citation

  • Chen, F., Miao S. , Tewari M. , Bao J.-W. , and Kusaka H. , 2011: A numerical study of interactions between surface forcing and sea breeze circulations and their effects on stagnation in the greater Houston area. J. Geophys. Res.,116, D12105, doi:10.1029/2010JD015533.

    • Search Google Scholar
    • Export Citation

  • Chen, S. H., and Sun W. Y. , 2002: A one-dimensional time dependent cloud model. J. Meteor. Soc. Japan, 80, 99–118, doi:10.2151/jmsj.80.99.

    • Search Google Scholar
    • Export Citation

  • Dee, D. P., and Coauthors, 2011: The ERA-Interim reanalysis: Configuration and performance of the data assimilation system. Quart. J. Roy. Meteor. Soc., 137, 553–597, doi:10.1002/qj.828.

    • Search Google Scholar
    • Export Citation

  • Dudhia, J., 1989: Numerical study of convection observed during the winter monsoon experiment using a mesoscale two-dimensional model. J. Atmos. Sci., 46, 3077–3107, doi:10.1175/1520-0469(1989)046<3077:NSOCOD>2.0.CO;2.

    • Search Google Scholar
    • Export Citation

  • Dudhia, J., Hong S. Y. , and Lim K. S. , 2008: A new method for representing mixed-phase particle fall speeds in bulk microphysics parameterizations. J. Meteor. Soc. Japan, 86A, 33–44, doi:10.2151/jmsj.86A.33.

    • Search Google Scholar
    • Export Citation

  • Flaounas, E., Janicot S. , Bastin S. , and Roca R. , 2012: The West African monsoon onset in 2006: Sensitivity to surface albedo, orography, SST and synoptic scale dry-air intrusions using WRF. Climate Dyn., 38, 685–708, doi:10.1007/s00382-011-1255-2.

    • Search Google Scholar
    • Export Citation

  • Flesch, T. K., and Reuter G. W. , 2012: WRF Model simulation of two Alberta flooding events and the impact of topography. J. Hydrometeor., 13, 695–708, doi:10.1175/JHM-D-11-035.1.

    • Search Google Scholar
    • Export Citation

  • Givati, A., Lynn B. , Liu Y. , and Rimmer A. , 2012: Using the WRF Model in an operational streamflow forecast system for the Jordan River. J. Appl. Meteor. Climatol., 51, 285–299, doi:10.1175/JAMC-D-11-082.1.

    • Search Google Scholar
    • Export Citation

  • Grell, G. A., and Dévényi D. , 2002: A generalized approach to parameterizing convection combining ensemble and data assimilation techniques. Geophys. Res. Lett.,29, 1693, doi:10.1029/2002GL015311.

  • Hong, S. Y., and Lee J. W. , 2009: Assessment of the WRF Model in reproducing a flash-flood heavy rainfall event over Korea. Atmos. Res., 93, 818–831, doi:10.1016/j.atmosres.2009.03.015.

    • Search Google Scholar
    • Export Citation

  • Hong, S. Y., Dudhia J. , and Chen S. H. , 2004: A revised approach to ice microphysical processes for the bulk parameterization of clouds and precipitation. Mon. Wea. Rev., 132, 103–120, doi:10.1175/1520-0493(2004)132<0103:ARATIM>2.0.CO;2.

    • Search Google Scholar
    • Export Citation

  • Hong, S. Y., Noh Y. , and Dudhia J. , 2006: A new vertical diffusion package with an explicit treatment of entrainment processes. Mon. Wea. Rev., 134, 2318–2341, doi:10.1175/MWR3199.1.

    • Search Google Scholar
    • Export Citation

  • Janjić, Z. I., 2002: Nonsingular implementation of the Mellor–Yamada level 2.5 scheme in the NCEP meso model. NCEP Office Note 437, 61 pp. [Available online at www.emc.ncep.noaa.gov/officenotes/newernotes/on437.pdf.]

  • Jolliff, J. K., Kindle J. C. , Shulman I. , Penta B. , Friedrichs M. A. M. , Helber R. , and Arnone R. A. , 2009: Summary diagrams for coupled hydrodynamic–ecosystem model skill assessment. J. Mar. Syst., 76, 64–82, doi:10.1016/j.jmarsys.2008.05.014.

    • Search Google Scholar
    • Export Citation

  • Jung, S.-H., Im E.-S. , and Han S.-O. , 2012: The effect of topography and sea surface temperature on heavy snowfall in the Yeongdong region: A case study with high resolution WRF simulation. Asia-Pac. J. Atmos. Sci., 48, 259–273, doi:10.1007/s13143-012-0026-2.

    • Search Google Scholar
    • Export Citation

  • Kain, J. S., 2004: The Kain–Fritsch convective parameterization: An update. J. Appl. Meteor., 43, 170–181, doi:10.1175/1520-0450(2004)043<0170:TKCPAU>2.0.CO;2.

    • Search Google Scholar
    • Export Citation

  • LaCasse, K. M., Splitt M. E. , Lazarus S. M. , and Lapenta W. M. , 2008: The impact of high-resolution sea surface temperatures on the simulated nocturnal Florida marine boundary layer. Mon. Wea. Rev., 136, 1349–1372, doi:10.1175/2007MWR2167.1.

    • Search Google Scholar
    • Export Citation

  • Lebeaupin Brossier, C., and Drobinski P. , 2009: Numerical high-resolution air–sea coupling over the Gulf of Lions during two tramontane/mistral events. J. Geophys. Res.,114, D10110, doi:10.1029/2008JD011601.

  • Lin, Y. L., Farley R. D. , and Orville H. D. , 1983: Bulk parameterization of the snow field in a cloud model. J. Climate Appl. Meteor., 22, 1065–1092, doi:10.1175/1520-0450(1983)022<1065:BPOTSF>2.0.CO;2.

    • Search Google Scholar
    • Export Citation

  • Mastrangelo, D., Horvat K. , Riccio A. , and Miglietta M. M. , 2011: Mechanisms for convection development in a long-lasting heavy precipitation event over southeastern Italy. Atmos. Res., 100, 586–602, doi:10.1016/j.atmosres.2010.10.010.

    • Search Google Scholar
    • Export Citation

  • Mendicino, G., Senatore A. , and Versace P. , 2008: A groundwater resource index (GRI) for drought monitoring and forecasting in a Mediterranean climate. J. Hydrol., 357, 282–302, doi:10.1016/j.jhydrol.2008.05.005.

    • Search Google Scholar
    • Export Citation

  • Miglietta, M. M., and Regano A. , 2008: An observational and numerical study of a flash-flood event over south-eastern Italy. Nat. Hazards Earth Syst. Sci., 8, 1417–1430, doi:10.5194/nhess-8-1417-2008.

    • Search Google Scholar
    • Export Citation

  • Miglietta, M. M., Moscatello A. , Conte D. , Mannarini G. , Lacorata G. , and Rotunno R. , 2011: Numerical analysis of a Mediterranean hurricane over south-eastern Italy: Sensitivity experiments to sea surface temperature. Atmos. Res., 101, 412–426, doi:10.1016/j.atmosres.2011.04.006.

    • Search Google Scholar
    • Export Citation

  • Mlawer, E. J., Taubman S. J. , Brown P. D. , Iacono M. J. , and Clough S. A. , 1997: Radiative transfer for inhomogeneous atmosphere: RRTM, a validated correlated-k model for the longwave. J. Geophys. Res., 102, 16 663–16 682, doi:10.1029/97JD00237.

    • Search Google Scholar
    • Export Citation

  • Muller, H., Dumas F. , Blanke B. , and Mariette V. , 2007: High-resolution atmospheric forcing for regional oceanic model: The Iroise Sea. Ocean Dyn., 57, 375–400, doi:10.1007/s10236-007-0115-4.

    • Search Google Scholar
    • Export Citation

  • Nash, J. E., and Sutcliffe J. V. , 1970: River flow forecasting through conceptual models part I—A discussion of principles. J. Hydrol., 10, 282–290, doi:10.1016/0022-1694(70)90255-6.

    • Search Google Scholar
    • Export Citation

  • Neiman, P. J., Ralph F. M. , Moore B. J. , Hughes M. , Mahoney K. M. , Cordeira J. M. , and Dettinger M. D. , 2013: The landfall and inland penetration of a flood-producing atmospheric river in Arizona. Part I: Observed synoptic-scale, orographic, and hydrometeorological characteristics. J. Hydrometeor., 14, 460–484, doi:10.1175/JHM-D-12-0101.1.

    • Search Google Scholar
    • Export Citation

  • Papanastasiou, D. K., Melas D. , and Lissaridis I. , 2010: Study of wind field under sea breeze conditions; An application of WRF Model. Atmos. Res., 98, 102–117, doi:10.1016/j.atmosres.2010.06.005.

    • Search Google Scholar
    • Export Citation

  • Ratnam, J. V., Behera S. K. , Masumoto Y. , Takahashi K. , and Yamagata T. , 2012: A simple regional coupled model experiment for summer-time climate simulation over southern Africa. Climate Dyn., 39, 2207–2217, doi:10.1007/s00382-011-1190-2.

    • Search Google Scholar
    • Export Citation

  • Rebora, N., and Coauthors, 2013: Extreme rainfall in the Mediterranean: What can we learn from observations? J. Hydrometeor., 14, 906–922, doi:10.1175/JHM-D-12-083.1.

    • Search Google Scholar
    • Export Citation

  • Rutledge, S. A., and Hobbs P. V. , 1984: The mesoscale and microscale structure and organization of clouds and precipitation in midlatitude cyclones. XII: A diagnostic modeling study of precipitation development in narrow cloud-frontal rainbands. J. Atmos. Sci., 41, 2949–2972, doi:10.1175/1520-0469(1984)041<2949:TMAMSA>2.0.CO;2.

    • Search Google Scholar
    • Export Citation

  • Schurmann, G. J., Algieri A. , Hedgecock I. M. , Manna G. , Pirrone N. , and Sprovieri F. , 2009: Modelling local and synoptic scale influences on ozone concentrations in a topographically complex region of southern Italy. Atmos. Environ., 43, 4424–4434, doi:10.1016/j.atmosenv.2009.06.017.

    • Search Google Scholar
    • Export Citation

  • Senatore, A., Mendicino G. , Smiatek G. , and Kunstmann H. , 2011: Regional climate change projections and hydrological impact analysis for a Mediterranean basin in southern Italy. J. Hydrol., 399, 70–92, doi:10.1016/j.jhydrol.2010.12.035.

    • Search Google Scholar
    • Export Citation

  • Sijikumar, S., and Rajeev K. , 2012: Role of the Arabian Sea warm pool on the precipitation characteristics during the monsoon onset period. J. Climate, 25, 1890–1899, doi:10.1175/JCLI-D-11-00286.1.

    • Search Google Scholar
    • Export Citation

  • Skamarock, W. C., and Coauthors, 2008: A description of the Advanced Research WRF version 3. NCAR Tech. Note NCAR/TN-475+STR, 113 pp., doi:10.5065/D68S4MVH.

  • Smith, B. L., Yuter S. E. , Neiman P. J. , and Kingsmill D. E. , 2010: Water vapor fluxes and orographic precipitation over Northern California associated with a landfalling atmospheric river. Mon. Wea. Rev., 138, 74–100, doi:10.1175/2009MWR2939.1.

    • Search Google Scholar
    • Export Citation

  • Song, Q., Chelton D. , Esbensen S. , Thum N. , and O’Neill L. , 2009: Coupling between sea surface temperature and low-level winds in mesoscale numerical models. J. Climate, 22, 146–164, doi:10.1175/2008JCLI2488.1.

    • Search Google Scholar
    • Export Citation

  • Stensrud, D. J., 2007: Parameterization Schemes: Keys to Understanding Numerical Weather Prediction Models. Cambridge University Press, 488 pp.

  • Taylor, K. E., 2001: Summarizing multiple aspects of model performance in a single diagram. J. Geol. Res., 106, 7183–7192, doi:10.1029/2000JD900719.

    • Search Google Scholar
    • Export Citation

  • Thompson, G., Field P. R. , Rasmussen R. M. , and Hall W. D. , 2008: Explicit forecasts of winter precipitation using an improved bulk microphysics scheme. Part II: Implementation of a new snow parameterization. Mon. Wea. Rev., 136, 5095–5115, doi:10.1175/2008MWR2387.1.

    • Search Google Scholar
    • Export Citation

  • van Dijke, D., and Vonk B. , 2011: Skin surface temperature interpolation improvement. Extended Abstracts, 12th Annual WRF Users Workshop, Boulder, CO, NCAR, 3 pp. [Available online at http://www2.mmm.ucar.edu/wrf/users/workshops/WS2011/Extended%20Abstracts%202011/P5_VanDijke_ExtendedAbstract_11.pdf.]

  • Zeng, X., and Beljaars A. , 2005: A prognostic scheme of sea surface skin temperature for modeling and data assimilation. Geophys. Res. Lett.,32, L14605, doi:10.1029/2005GL023030.

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