About: Estimating QPF uncertainty by ensemble skill for local flash flood producing rainfalls     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • Forecast uncertainty is an inherent part of high-resolution quantitative precipitation forecast (QPF) and it is particularly pronounced when predicting heavy convective precipitation. Ensemble prediction is a usefull mean to assess the QPF uncertainty by employing ensemble spread that characterizes differences between the control forecast and forecasts provided by each ensemble member. In this study, we used gauge adjusted radar-based rainfalls in the QPF verification and we applied Fractions Skill Score (FSS) in the calculation of the ensemble skill and ensemble spread.
  • Forecast uncertainty is an inherent part of high-resolution quantitative precipitation forecast (QPF) and it is particularly pronounced when predicting heavy convective precipitation. Ensemble prediction is a usefull mean to assess the QPF uncertainty by employing ensemble spread that characterizes differences between the control forecast and forecasts provided by each ensemble member. In this study, we used gauge adjusted radar-based rainfalls in the QPF verification and we applied Fractions Skill Score (FSS) in the calculation of the ensemble skill and ensemble spread. (en)
Title
  • Estimating QPF uncertainty by ensemble skill for local flash flood producing rainfalls
  • Estimating QPF uncertainty by ensemble skill for local flash flood producing rainfalls (en)
skos:prefLabel
  • Estimating QPF uncertainty by ensemble skill for local flash flood producing rainfalls
  • Estimating QPF uncertainty by ensemble skill for local flash flood producing rainfalls (en)
skos:notation
  • RIV/68378289:_____/09:00340869!RIV10-MSM-68378289
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA205/07/0905), P(OC 112), Z(AV0Z30420517)
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
  • 313569
http://linked.open...ai/riv/idVysledku
  • RIV/68378289:_____/09:00340869
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • QPF; forecast uncertainty; ensemble forecast; Fractions Skill Score; ensemble spread; ensemble skill (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [711A59F6CA73]
http://linked.open...v/mistoKonaniAkce
  • St. Moritz
http://linked.open...i/riv/mistoVydani
  • Zurich
http://linked.open...i/riv/nazevZdroje
  • UrbanRain09. Rainfall in the urban context: forecasting, risk and climate change
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...iv/tvurceVysledku
  • Zacharov, Petr jr.
  • Řezáčová, Daniela
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • ETH Zurich
https://schema.org/isbn
  • 978-3-909386-27-7
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software