Capítols de llibrehttp://hdl.handle.net/2117/38612024-03-19T13:19:34Z2024-03-19T13:19:34ZFlash flood forecasting based on rainfall thresholdsAlfieri, LorenzoBerenguer Ferrer, MarcKnechtl, ValentinLiechti, KatharinaSempere Torres, DanielZappa, Mhttp://hdl.handle.net/2117/1014192020-07-23T22:05:09Z2017-02-22T19:29:43ZFlash flood forecasting based on rainfall thresholds
Alfieri, Lorenzo; Berenguer Ferrer, Marc; Knechtl, Valentin; Liechti, Katharina; Sempere Torres, Daniel; Zappa, M
2017-02-22T19:29:43ZAlfieri, LorenzoBerenguer Ferrer, MarcKnechtl, ValentinLiechti, KatharinaSempere Torres, DanielZappa, MDebris flow warning through radar nowcasting and critical rainfall thresholds: a case study in the Glarus catchment (Switzerland)Mitidieri, FrancescoPapa, Maria NicolinaCiervo, FabioBerenguer Ferrer, MarcSempere Torres, DanielMedina Iglesias, Vicente César deBateman Pinzón, Allenhttp://hdl.handle.net/2117/240342021-11-14T04:37:36Z2014-09-12T07:32:02ZDebris flow warning through radar nowcasting and critical rainfall thresholds: a case study in the Glarus catchment (Switzerland)
Mitidieri, Francesco; Papa, Maria Nicolina; Ciervo, Fabio; Berenguer Ferrer, Marc; Sempere Torres, Daniel; Medina Iglesias, Vicente César de; Bateman Pinzón, Allen
The mitigation of debris flow (DF) risk can be achieved by the means of reliable
warning systems. At present time, operational warning systems are mostly based
on critical rainfall thresholds (CRT) derived through the elaboration of past event
records. The prediction ability of these systems strictly depends on the quality and
availability of historical data. In order to overcome these limitations, in this work
the CRT curves are derived from mathematical and numerical simulations carried
out using a coupled hydrological-stability model. The CRT curves thus obtained
are combined with rainfall nowcasts based on the observations of meteorological
radar network. A case study in central Switzerland is presented. The performances
of the proposed system are tested through a playback analysis of a past event. It
results that the use of nowcasting allows for a crucial increment of the advance
time interval.
2014-09-12T07:32:02ZMitidieri, FrancescoPapa, Maria NicolinaCiervo, FabioBerenguer Ferrer, MarcSempere Torres, DanielMedina Iglesias, Vicente César deBateman Pinzón, AllenThe mitigation of debris flow (DF) risk can be achieved by the means of reliable
warning systems. At present time, operational warning systems are mostly based
on critical rainfall thresholds (CRT) derived through the elaboration of past event
records. The prediction ability of these systems strictly depends on the quality and
availability of historical data. In order to overcome these limitations, in this work
the CRT curves are derived from mathematical and numerical simulations carried
out using a coupled hydrological-stability model. The CRT curves thus obtained
are combined with rainfall nowcasts based on the observations of meteorological
radar network. A case study in central Switzerland is presented. The performances
of the proposed system are tested through a playback analysis of a past event. It
results that the use of nowcasting allows for a crucial increment of the advance
time interval.Blending of radar and gauge rainfall measurements: a preliminary analysis of the impact of radar errorsSempere Torres, DanielBerenguer Ferrer, MarcVelasco Forero, Carlos Alfonsohttp://hdl.handle.net/2117/164002020-07-23T20:03:54Z2012-08-29T10:52:45ZBlending of radar and gauge rainfall measurements: a preliminary analysis of the impact of radar errors
Sempere Torres, Daniel; Berenguer Ferrer, Marc; Velasco Forero, Carlos Alfonso
Several methodologies have been proposed to combine radar and raingauge measurements with
the aim of generating improved quantitative precipitation estimates (QPEs). These methods are based on interpolating point raingauge measurements (implicitly assumed to be “the truth”) and benefiting from the
structure of the rainfall field as depicted by the radar. The use of a non-parametric approach based on radar measurements has been recently demonstrated, showing the benefits in the interpolation of raingauge
measurements under the hypotheses of the Kriging approach. Several experiments have been carried out over a large number of cases and a variety of regions, Kriging with an external drift (i.e. the radar description of the rainfall field) being the approach showing more robust and (overall) better performance. Here, the impact of the discrepancies between two almost-collocated radars on the blended QPE fields was investigated.
2012-08-29T10:52:45ZSempere Torres, DanielBerenguer Ferrer, MarcVelasco Forero, Carlos AlfonsoSeveral methodologies have been proposed to combine radar and raingauge measurements with
the aim of generating improved quantitative precipitation estimates (QPEs). These methods are based on interpolating point raingauge measurements (implicitly assumed to be “the truth”) and benefiting from the
structure of the rainfall field as depicted by the radar. The use of a non-parametric approach based on radar measurements has been recently demonstrated, showing the benefits in the interpolation of raingauge
measurements under the hypotheses of the Kriging approach. Several experiments have been carried out over a large number of cases and a variety of regions, Kriging with an external drift (i.e. the radar description of the rainfall field) being the approach showing more robust and (overall) better performance. Here, the impact of the discrepancies between two almost-collocated radars on the blended QPE fields was investigated.Improving risk management for flash floods and debris flow eventsUijlenhoet, RemkoSempere Torres, DanielVelasco Montes, DavidBerenguer Ferrer, MarcBateman Pinzón, AllenGermann, UrsThielen, JuttaBeven, K.Zappa, MassimilianoDemarchi, M.Bertoli, M.Gaechter, M.Velasco, E.Wittwer, C.Sánchez-Diezma Guijarro, RafaelVilaclara, E.Pegram, GeoffreyPapa, M.Escaler, I.Lombardi, G.Santiago, A.Zawadzki, Isztarhttp://hdl.handle.net/2117/159032020-07-23T20:29:11Z2012-05-21T15:36:58ZImproving risk management for flash floods and debris flow events
Uijlenhoet, Remko; Sempere Torres, Daniel; Velasco Montes, David; Berenguer Ferrer, Marc; Bateman Pinzón, Allen; Germann, Urs; Thielen, Jutta; Beven, K.; Zappa, Massimiliano; Demarchi, M.; Bertoli, M.; Gaechter, M.; Velasco, E.; Wittwer, C.; Sánchez-Diezma Guijarro, Rafael; Vilaclara, E.; Pegram, Geoffrey; Papa, M.; Escaler, I.; Lombardi, G.; Santiago, A.; Zawadzki, Isztar
2012-05-21T15:36:58ZUijlenhoet, RemkoSempere Torres, DanielVelasco Montes, DavidBerenguer Ferrer, MarcBateman Pinzón, AllenGermann, UrsThielen, JuttaBeven, K.Zappa, MassimilianoDemarchi, M.Bertoli, M.Gaechter, M.Velasco, E.Wittwer, C.Sánchez-Diezma Guijarro, RafaelVilaclara, E.Pegram, GeoffreyPapa, M.Escaler, I.Lombardi, G.Santiago, A.Zawadzki, Isztar