Prediction of monthly rainfall statistics from data with long integration time

Prediction of monthly rainfall statistics from data with long integration time

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Conversion models, originally devised to turn yearly rainfall statistics from long (e.g. 30 or 60 min) to short integration time T (i.e. 1 min), are assessed for their ability to also predict monthly 1-min integrated statistics, P(R)1 m , knowledge of which may be beneficial for specific services (e.g. reconfigurable systems) and for the definition of a reliable approach to estimate monthly (hence worst month) rain attenuation statistics. Tests, performed for 5 ≤ T ≤ 60 min against monthly raingauge-derived rainfall data collected in some sites worldwide, indicate that the EXponential CELL rainfall statistics conversion (EXCELL RSC) and Lavergnat-Golé models, in force of their physical soundness, provide a good performance when used to predict 1-min integrated rainfall statistics both on yearly and on monthly bases.


    1. 1)
      • C. Capsoni , L. Luini , A. Paraboni , C. Riva , A. Martellucci .
        1. Capsoni, C., Luini, L., Paraboni, A., Riva, C., Martellucci, A.: ‘A new prediction model of rain attenuation that separately accounts for stratiform and convective rain’, IEEE Trans. Antennas Propag., 2009, 57, (1), pp. 196204 (doi: 10.1109/TAP.2008.2009698).
        . IEEE Trans. Antennas Propag. , 1 , 196 - 204
    2. 2)
      • 2. Rec. ITU-R P.837–6.: ‘Characteristics of Precipitation for Propagation Modeling’, 2012.
    3. 3)
      • 3., accessed 2013.
    4. 4)
      • L.D. Emiliani , L. Luini , C. Capsoni .
        4. Emiliani, L.D., Luini, L., Capsoni, C.: ‘On the optimum estimation of 1-minute integrated rainfall statistics from data with longer integration time’. Proc. European Conf. Antennas and Propagation, Barcelona, Spain, 2010, pp. 15.
        . Proc. European Conf. Antennas and Propagation , 1 - 5
    5. 5)
      • E. Alberty , S. Defever , C. Moreau , R. De Gaudenzi , S. Ginesi , R. Rinaldo , G. Gallinaro , A. Vernucci .
        5. Alberty, E., Defever, S., Moreau, C., De Gaudenzi, R., Ginesi, S., Rinaldo, R., Gallinaro, G., Vernucci, A.: ‘Adaptive coding and modulation for the DVB-S2 standard interactive applications: capacity assessment and key system issues’, IEEE Wirel. Commun., 2007, 14, (4), pp. 6169 (doi: 10.1109/MWC.2007.4300985).
        . IEEE Wirel. Commun. , 4 , 61 - 69
    6. 6)
      • C. Capsoni , L. Luini .
        6. Capsoni, C., Luini, L.: ‘The SC EXCELL model for the prediction of monthly rain attenuation statistics’. Proc. European Conf. Antennas and Propagation, Göteborg, Sweden, 2013, pp. 15.
        . Proc. European Conf. Antennas and Propagation , 1 - 5
    7. 7)
      • C. Capsoni , L. Luini .
        7. Capsoni, C., Luini, L.: ‘A physically based method for the conversion of rainfall statistics from long to short integration time’, IEEE Trans. Antennas. Propag., 2009, 57, (11), pp. 36923696 (doi: 10.1109/TAP.2009.2025189).
        . IEEE Trans. Antennas. Propag. , 11 , 3692 - 3696

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