Precipitation-elevation relationship: Non-linearity and space–time variability prevail in the Swiss Alps - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement
Article Dans Une Revue Journal of Hydrology X Année : 2024

Precipitation-elevation relationship: Non-linearity and space–time variability prevail in the Swiss Alps

Résumé

The relationship between mean daily precipitation and elevation is often regarded as linear and positive, resulting in simple "precipitation lapse rate" equations frequently employed to extrapolate daily rainfall from a single weather station over a large area. We examine the precipitation-elevation relationship in the Swiss Alps using a combination of weather radar and rain gauge data to test this common assumption, challenging it by fitting a two-segment piecewise linear model with a mid-slope break-point as an alternative. By examining data stratified by catchment, season, and weather type, we assess the space-time variability of the precipitation-elevation relationship. We conclude that a non-linear and non-stationary model seems necessary to capture the variability of the observed precipitationelevation relationship. Based on our findings, we suggest that the simplified precipitation lapse rate concept is misleading and should be reconsidered in hydrological applications, emphasizing the need for a more realistic representation of precipitation variability over time and space.

Domaines

Hydrologie
Fichier principal
Vignette du fichier
benoit_journalOfHydrology_2024.pdf (6.85 Mo) Télécharger le fichier
Origine Fichiers éditeurs autorisés sur une archive ouverte
Licence

Dates et versions

hal-04746929 , version 1 (21-10-2024)

Licence

Identifiants

Citer

Lionel Benoit, Erwan Koch, Nadav Peleg, Gregoire Mariethoz. Precipitation-elevation relationship: Non-linearity and space–time variability prevail in the Swiss Alps. Journal of Hydrology X, 2024, 25, pp.100186. ⟨10.1016/j.hydroa.2024.100186⟩. ⟨hal-04746929⟩
41 Consultations
6 Téléchargements

Altmetric

Partager

More