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by del Moral, A., Llasat, M.C. and Rigo, T.
Abstract:
Most of the adverse weather phenomena in Catalonia (northeast Iberian Peninsula) are caused by convective events, which can produce heavy rains, large hailstones, strong winds, lightning and/or tornadoes. These thunderstorms usually have marked paths. However, their trajectories can vary sharply at any given time, completely changing direction from the path they have previously followed. Furthermore, some thunderstorms split or merge with each other, creating new formations with different behaviour. In order to identify the potentially anomalous movements that some thunderstorms make, this paper presents a two-step methodology using a database with 8 years of daily rainfall fields data for the Catalonia region (2008–2015). First, it classifies daily rainfall fields between days with “no rain”, “non-potentially convective rain” and “potentially convective rain”, based on daily accumulated precipitation and extension thresholds. Second, it categorises convective structures within rainfall fields and briefly identifies their main features, distinguishing whether there were any anomalous thunderstorm movements in each case. This methodology has been applied to the 2008–2015 period, and the main climatic features of convective and non-convective days were obtained. The methodology can be exported to other regions that do not have the necessary radar-based algorithms to detect convective cells, but where there is a good rain gauge network in place.
Reference:
del Moral, A., Llasat, M.C. and Rigo, T., 2017: Identification of anomalous motion of thunderstorms using daily rainfall fieldsAtmospheric Research, 185, 92-100.
Bibtex Entry:
@Article{Moral2017,
  Title                    = {Identification of anomalous motion of thunderstorms using daily rainfall fields},
  Author                   = {del Moral, A. and Llasat, M.C. and Rigo, T.},
  Journal                  = {Atmospheric Research},
  Year                     = {2017},

  Month                    = {March},
  Pages                    = {92-100},
  Volume                   = {185},

  Abstract                 = {Most of the adverse weather phenomena in Catalonia (northeast Iberian Peninsula) are caused by convective events, which can produce heavy rains, large hailstones, strong winds, lightning and/or tornadoes. These thunderstorms usually have marked paths. However, their trajectories can vary sharply at any given time, completely changing direction from the path they have previously followed. Furthermore, some thunderstorms split or merge with each other, creating new formations with different behaviour. In order to identify the potentially anomalous movements that some thunderstorms make, this paper presents a two-step methodology using a database with 8 years of daily rainfall fields data for the Catalonia region (2008–2015). First, it classifies daily rainfall fields between days with “no rain”, “non-potentially convective rain” and “potentially convective rain”, based on daily accumulated precipitation and extension thresholds. Second, it categorises convective structures within rainfall fields and briefly identifies their main features, distinguishing whether there were any anomalous thunderstorm movements in each case. This methodology has been applied to the 2008–2015 period, and the main climatic features of convective and non-convective days were obtained. The methodology can be exported to other regions that do not have the necessary radar-based algorithms to detect convective cells, but where there is a good rain gauge network in place.},
  Copublication            = {3: 3 Es},
  Doi                      = {10.1016/j.atmosres.2016.11.001},
  Keywords                 = {Anomalous motion; Severe weather; Radar; Daily rainfall fields;},
  Owner                    = {hymexw},
  Timestamp                = {2018.06.26},
  Url                      = {http://dx.doi.org/10.1016/j.atmosres.2016.11.001}
}