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UID:20250812T072538EDT-3738Cm5I5i@132.216.98.100
DTSTAMP:20250812T112538Z
DESCRIPTION:Scale characterization and correction of diurnal cycle errors i
 n MAPLE\n\n\n\nAbstract\n\n\n	Lagrangian extrapolation of recent radar obse
 rvations is a widely used deterministic nowcasting technique in operationa
 l and research centers. However\, this technique neither takes into accoun
 t errors due to changes in precipitation motion nor for the non-systematic
  growth and decay\, thus limiting forecasting skill.\n\nIn this work\, McG
 ill Algorithm for Precipitation Nowcasting by Lagrangian Extrapolation (MA
 PLE) errors have been computed for 9 years of data. The study of these err
 ors has shown an important and systematic error due to the diurnal cycle. 
 This error is related to the solar cycle during the day that causes an inc
 rease on the average rainfall intensity in the afternoon and a decay of th
 e average rainfall intensity during the night. However\, this external for
 cing interacts with the atmospheric system creating local growth and decay
  depending on orography\, land use\, cloud coverage\, etc. For example it 
 can be observed that in sea areas this effect is temporally shifted. For t
 his reason\, the diurnal cycle signal in the errors has been studied at di
 fferent locations\, scales and lead-time in order to recognize where\, whe
 n and for which scales the signal is significant.\n\nThis information has 
 been used in the development of a scaling assimilation scheme where the sy
 stematic biases due to the diurnal cycle are corrected. The results show t
 hat the developed methodology improves the forecast for the scales and loc
 ations where the diurnal cycle signal is significant.\n
DTSTART:20150930T183000Z
DTEND:20150930T193000Z
LOCATION:Room 934\, Burnside Hall\, CA\, QC\, Montreal\, H3A 0B9\, 805 rue 
 Sherbrooke Ouest
SUMMARY:Student Seminar: Aitor Atencia
URL:/meteo/channels/event/student-seminar-aitor-atenci
 a-255605
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