Publications des scientifiques de l'IRD

Panthou G., Vischel T., Lebel Thierry, Quantin G., Molinie G. (2014). Characterising the space-time structure of rainfall in the Sahel with a view to estimating IDAF curves. Hydrology and Earth System Sciences, 18 (12), p. 5093-5107. ISSN 1027-5606.

Titre du document
Characterising the space-time structure of rainfall in the Sahel with a view to estimating IDAF curves
Année de publication
2014
Type de document
Article référencé dans le Web of Science WOS:000347313600011
Auteurs
Panthou G., Vischel T., Lebel Thierry, Quantin G., Molinie G.
Source
Hydrology and Earth System Sciences, 2014, 18 (12), p. 5093-5107 ISSN 1027-5606
Intensity-duration-area-frequency (IDAF) curves are increasingly demanded for characterising the severity of storms and for designing hydraulic structures. Their computation requires inferring areal rainfall distributions over the range of space scales and timescales that are the most relevant for hydrological studies at catchment scale. In this study, IDAF curves are computed for the first time in West Africa, based on the data provided by the AMMA-CATCH Niger network, composed of 30 recording rain gauges having operated since 1990 over a 16 000 km(2) area in south-western Niger. The IDAF curves are obtained by separately considering the time (intensity-duration-frequency, IDF) and space (areal reduction factor, ARF) components of the extreme rainfall distribution. Annual maximum intensities are extracted for resolutions between 1 and 24 h in time and from point (rain gauge) to 2500 km(2) in space. The IDF model used is based on the concept of scale invariance (simple scaling) which allows the normalisation of the different temporal resolutions of maxima series to which a global generalised extreme value (GEV) is fitted. This parsimonious framework allows one to use the concept of dynamic scaling to describe the ARF. The results show that coupling a simple scaling in space and time with a dynamical scaling that relates to space and time allows one to satisfactorily model the effect of space-time aggregation on the distribution of extreme rainfall.
Plan de classement
Sciences fondamentales / Techniques d'analyse et de recherche [020] ; Hydrologie [062]
Description Géographique
SAHEL ; AFRIQUE DE L'OUEST ; NIGER
Localisation
Fonds IRD [F B010063647]
Identifiant IRD
fdi:010063647
Contact