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  • Five convective events that produced heavy local rainfall in the Czech Republic were studied. The LM COSMO was run with a horizontal resolution of 2.8 km and an ensemble of 13 forecasts was created by modifying the initial and boundary conditions. Forecasts were verified by gauge-adjusted radar-based rainfalls. Ensemble skill and ensemble spread were determined using the Fractions Skill Score (FSS). The spread represents the differences between the control forecast and the forecasts provided by each ensemble member, while the skill evaluates the difference between the precipitation forecast and radar-based rainfalls. In this study, the ensemble skill is estimated on the basis of the ensemble spread. The numerical experiments used the FSS-based skill and spread values related to four events to estimate the skill–spread relationship. The relationship was applied to a fifth event to estimate the QPF ensemble skill given the ensemble FSS-based spread.
  • Five convective events that produced heavy local rainfall in the Czech Republic were studied. The LM COSMO was run with a horizontal resolution of 2.8 km and an ensemble of 13 forecasts was created by modifying the initial and boundary conditions. Forecasts were verified by gauge-adjusted radar-based rainfalls. Ensemble skill and ensemble spread were determined using the Fractions Skill Score (FSS). The spread represents the differences between the control forecast and the forecasts provided by each ensemble member, while the skill evaluates the difference between the precipitation forecast and radar-based rainfalls. In this study, the ensemble skill is estimated on the basis of the ensemble spread. The numerical experiments used the FSS-based skill and spread values related to four events to estimate the skill–spread relationship. The relationship was applied to a fifth event to estimate the QPF ensemble skill given the ensemble FSS-based spread. (en)
Title
  • Using the fractions skill score to assess the relationship between an ensemble QPF spread and skill
  • Using the fractions skill score to assess the relationship between an ensemble QPF spread and skill (en)
skos:prefLabel
  • Using the fractions skill score to assess the relationship between an ensemble QPF spread and skill
  • Using the fractions skill score to assess the relationship between an ensemble QPF spread and skill (en)
skos:notation
  • RIV/68378289:_____/09:00335711!RIV10-MSM-68378289
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(IAA300420804), P(OC 112), Z(AV0Z30420517)
http://linked.open...iv/cisloPeriodika
  • 4
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 348022
http://linked.open...ai/riv/idVysledku
  • RIV/68378289:_____/09:00335711
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Quantitative precipitation forecast; Ensemble forecasting; Ensemble spread; Ensemble skill; Fractions Skill Score; Forecast verification; Radar-based rainfall (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • NL - Nizozemsko
http://linked.open...ontrolniKodProRIV
  • [D240C7417BB7]
http://linked.open...i/riv/nazevZdroje
  • Atmospheric Research
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 94
http://linked.open...iv/tvurceVysledku
  • Zacharov, Petr jr.
  • Řezáčová, Daniela
http://linked.open...ain/vavai/riv/wos
  • 000273099800016
http://linked.open...n/vavai/riv/zamer
issn
  • 0169-8095
number of pages
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