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UID:20250920T072441EDT-4570haiLCu@132.216.98.100
DTSTAMP:20250920T112441Z
DESCRIPTION:Improving Quantitative Precipitation Forecasts using Radar Data
  Observations\n\nQuantitative precipitation estimation (QPE) still remains
  a challenging task despite the advances in numerical models and data assi
 milation systems. One of the main reason for that is the difficulty in cap
 turing the inherent space–time variability of the hydrometeorological proc
 ess. In that sense\, radar observations are valuable source of information
  for improving prediction of convective events in NWP because they provide
  detailed information on its spatio-temporal evolution. \n	Although all rad
 ar data assimilation techniques have demonstrated some success\, there is 
 no obviously superior scheme. Notwithstanding all the efforts in mesoscale
  radar data assimilation\, improvements only last for a few hours. These l
 imitations can be due to the assimilation method itself as well as predict
 ability limits of the meteorological situation at the mesoscale. \n	In orde
 r gain understanding on why improvements are short-lived\, a simple humidi
 ty nudging assimilation scheme\, Radar Mapping\, is used in idealized expe
 riments. Radar Mapping is a technique where the humidity in a convective p
 arameterization scheme is adjusted in order to match precipitation observa
 tions. The convective triggering is altered by modifying the water vapor. 
 Since the nudging is done in the parameterization the balance of the model
  is not altered. Short model runs transmits this information to the other 
 variables of the system in an iterative manner. The underlying hypothesis 
 is that the changes in model dynamics will result in a state closer to the
  nature. The improvements in QPE forecasts and the transmission of informa
 tion to other variables than precipitation will be discussed.\n
DTSTART:20160406T190000Z
DTEND:20160406T193000Z
LOCATION:Room 934\, Burnside Hall\, CA\, QC\, Montreal\, H3A 0B9\, 805 rue 
 Sherbrooke Ouest
SUMMARY:Student Seminar: Andres Perez
URL:/meteo/channels/event/student-seminar-andres-perez
 -255087
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