Home > Research > Publications & Outputs > Prévision des crues éclair à l'aide de modèles ...

Research

Associated organisational unit

Links

Text available via DOI:

Keywords

View graph of relations

Prévision des crues éclair à l'aide de modèles mécanistes fondés sur les données et prévisions pluviométriques du système radar NORA

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Published

Standard

Prévision des crues éclair à l'aide de modèles mécanistes fondés sur les données et prévisions pluviométriques du système radar NORA. / Smith, P. J.; Panziera, L.; Beven, K. J.
In: Hydrological Sciences Journal, Vol. 59, No. 7, 01.01.2014, p. 1403-1417.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Smith, PJ, Panziera, L & Beven, KJ 2014, 'Prévision des crues éclair à l'aide de modèles mécanistes fondés sur les données et prévisions pluviométriques du système radar NORA', Hydrological Sciences Journal, vol. 59, no. 7, pp. 1403-1417. https://doi.org/10.1080/02626667.2013.842647

APA

Smith, P. J., Panziera, L., & Beven, K. J. (2014). Prévision des crues éclair à l'aide de modèles mécanistes fondés sur les données et prévisions pluviométriques du système radar NORA. Hydrological Sciences Journal, 59(7), 1403-1417. https://doi.org/10.1080/02626667.2013.842647

Vancouver

Smith PJ, Panziera L, Beven KJ. Prévision des crues éclair à l'aide de modèles mécanistes fondés sur les données et prévisions pluviométriques du système radar NORA. Hydrological Sciences Journal. 2014 Jan 1;59(7):1403-1417. doi: 10.1080/02626667.2013.842647

Author

Smith, P. J. ; Panziera, L. ; Beven, K. J. / Prévision des crues éclair à l'aide de modèles mécanistes fondés sur les données et prévisions pluviométriques du système radar NORA. In: Hydrological Sciences Journal. 2014 ; Vol. 59, No. 7. pp. 1403-1417.

Bibtex

@article{1634f9666bc44a45a0bbcc5b82ac56f4,
title = "Pr{\'e}vision des crues {\'e}clair {\`a} l'aide de mod{\`e}les m{\'e}canistes fond{\'e}s sur les donn{\'e}es et pr{\'e}visions pluviom{\'e}triques du syst{\`e}me radar NORA",
abstract = "Data-based mechanistic (DBM) models can offer a parsimonious representation of catchment dynamics. They have been shown to provide reliable accurate flood forecasts in many hydrological situations. In this work, the DBM methodology is applied to forecast flash floods in a small Alpine catchment. Compared to previous DBM modelling studies, the catchment response is rapid. The use of novel radar-derived ensemble quantitative precipitation forecasts based on analogues to drive the DBM model allows the forecast horizon to be increased to a level useful for emergency response. The characterization of the predictive uncertainty in the resulting hydrological forecasts is discussed and a framework for its representation illustrated.",
keywords = "DBM, flash flood forecasting, NORA",
author = "Smith, {P. J.} and L. Panziera and Beven, {K. J.}",
year = "2014",
month = jan,
day = "1",
doi = "10.1080/02626667.2013.842647",
language = "French",
volume = "59",
pages = "1403--1417",
journal = "Hydrological Sciences Journal",
issn = "0262-6667",
publisher = "TAYLOR & FRANCIS LTD",
number = "7",

}

RIS

TY - JOUR

T1 - Prévision des crues éclair à l'aide de modèles mécanistes fondés sur les données et prévisions pluviométriques du système radar NORA

AU - Smith, P. J.

AU - Panziera, L.

AU - Beven, K. J.

PY - 2014/1/1

Y1 - 2014/1/1

N2 - Data-based mechanistic (DBM) models can offer a parsimonious representation of catchment dynamics. They have been shown to provide reliable accurate flood forecasts in many hydrological situations. In this work, the DBM methodology is applied to forecast flash floods in a small Alpine catchment. Compared to previous DBM modelling studies, the catchment response is rapid. The use of novel radar-derived ensemble quantitative precipitation forecasts based on analogues to drive the DBM model allows the forecast horizon to be increased to a level useful for emergency response. The characterization of the predictive uncertainty in the resulting hydrological forecasts is discussed and a framework for its representation illustrated.

AB - Data-based mechanistic (DBM) models can offer a parsimonious representation of catchment dynamics. They have been shown to provide reliable accurate flood forecasts in many hydrological situations. In this work, the DBM methodology is applied to forecast flash floods in a small Alpine catchment. Compared to previous DBM modelling studies, the catchment response is rapid. The use of novel radar-derived ensemble quantitative precipitation forecasts based on analogues to drive the DBM model allows the forecast horizon to be increased to a level useful for emergency response. The characterization of the predictive uncertainty in the resulting hydrological forecasts is discussed and a framework for its representation illustrated.

KW - DBM

KW - flash flood forecasting

KW - NORA

U2 - 10.1080/02626667.2013.842647

DO - 10.1080/02626667.2013.842647

M3 - Journal article

AN - SCOPUS:84903819265

VL - 59

SP - 1403

EP - 1417

JO - Hydrological Sciences Journal

JF - Hydrological Sciences Journal

SN - 0262-6667

IS - 7

ER -