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SUMMARY:Quantifying the Soil Moisture Precipitation Feedback in Austria: R
 esults (by Armin Schaffer)
DTSTART:20201201T103000Z
DTEND:20201201T110000Z
DTSTAMP:20201129T231935Z
UID:presentation-106.series-6
DESCRIPTION:Soil moisture has a significant effect on precipitation patter
 ns. In many parts of the world this feedback is negative\, meaning rain is
  more likely over drier soil\, which is not captured by non-convection per
 mitting climate models. The aim of this project is to investigate the Soil
  Moisture Precipitation Feedback in Austria and compare the results to the
  performance of the CCLM and WRF RCMs.\nTo get more reliable soil moisture
  data\, the High Resolution Land Data Assimilation System is used and run 
 with observational forcing data. Its soil moisture output\, as well as soi
 l moisture data from the RCMs are compared to the WegenerNet observation d
 ata. Further\, the method to quantify the feedback\, adapted from Taylor e
 t al. (2012)\, Guillod et al. (2015) and Moon et al. (2019)\, is presented
 . Due to flaws in the result representation of this method\, a more detail
 ed look into the feedback strength distribution of ​precipitation events
  is also taken\, showing no or only ​weak feedbacks in Austria.
LOCATION:Jitsi- Conference Call
ORGANIZER;CN="Tobias Lichtenegger";ROLE=CHAIR:MAILTO:tobias.lichtenegger@u
 ni-graz.at
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