Zobrazeno 1 - 10
of 242
pro vyhledávání: '"G. EVIN"'
Publikováno v:
Hydrology and Earth System Sciences, Vol 28, Pp 2579-2601 (2024)
Seasonal precipitation estimation in ungauged mountainous areas is essential for understanding and modeling a physical variable of interest in many environmental applications (hydrology, ecology, and cryospheric studies). Precipitation lapse rates (P
Externí odkaz:
https://doaj.org/article/50a155273ed14729a6afb79be7e3e000
Autor:
G. Evin, M. Le Lay, C. Fouchier, D. Penot, F. Colleoni, A. Mas, P.-A. Garambois, O. Laurantin
Publikováno v:
Hydrology and Earth System Sciences, Vol 28, Pp 261-281 (2024)
Hydrological modelling of small mountainous catchments is particularly challenging because of the high spatio-temporal resolution required for the meteorological forcings. In situ measurements of precipitation are typically scarce in these remote are
Externí odkaz:
https://doaj.org/article/a441ee61b8784b13ab70f58de72a0493
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 23, Pp 3509-3523 (2023)
At the end of February 2018 the Mediterranean area of Montpellier in France was struck by a significant snowfall that turned into an intense rain event caused by an exceptional atmospheric situation. This rain-on-snow event produced pronounced damage
Externí odkaz:
https://doaj.org/article/13326917063a461a9bb66f7dfdefe48a
Publikováno v:
The Cryosphere, Vol 17, Pp 4691-4704 (2023)
Following the projected increase in extreme precipitation, an increase in extreme snowfall may be expected in cold regions, e.g., for high latitudes or at high elevations. By contrast, in low- to medium-elevation areas, the probability of experiencin
Externí odkaz:
https://doaj.org/article/eb8ee41331754e7f82b940e7938ad4c0
Publikováno v:
Hydrology and Earth System Sciences, Vol 27, Pp 3643-3661 (2023)
Analytical multiplicative random cascades (MRCs) are widely used for the temporal disaggregation of coarse-resolution precipitation time series. This class of models applies scaling models to represent the dependence of the cascade generator on the t
Externí odkaz:
https://doaj.org/article/483b95e4b99b40e5b9ad92e2c72edd83
Autor:
L. Strohmenger, E. Sauquet, C. Bernard, J. Bonneau, F. Branger, A. Bresson, P. Brigode, R. Buzier, O. Delaigue, A. Devers, G. Evin, M. Fournier, S.-C. Hsu, S. Lanini, A. de Lavenne, T. Lemaitre-Basset, C. Magand, G. Mendoza Guimarães, M. Mentha, S. Munier, C. Perrin, T. Podechard, L. Rouchy, M. Sadki, M. Soutif-Bellenger, F. Tilmant, Y. Tramblay, A.-L. Véron, J.-P. Vidal, G. Thirel
Publikováno v:
Hydrology and Earth System Sciences, Vol 27, Pp 3375-3391 (2023)
Large datasets of long-term streamflow measurements are widely used to infer and model hydrological processes. However, streamflow measurements may suffer from what users can consider anomalies, i.e. non-natural records that may be erroneous streamfl
Externí odkaz:
https://doaj.org/article/e97086dbc2be47ed969dc6a433972466
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 23, Pp 1769-1787 (2023)
The ability to understand and predict coarse-sediment transport in torrent catchments is a key element for the protection against and prevention of the associated hazards. In this study, we collected data describing sediment supply at 99 torrential c
Externí odkaz:
https://doaj.org/article/8c961128c13d4de1a387298c99cfd880
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 23, Pp 1383-1408 (2023)
Snow avalanches are a prevalent threat in mountain territories. Large-scale mapping of avalanche-prone terrain is a prerequisite for land-use planning where historical information about past events is insufficient. To this aim, the most common approa
Externí odkaz:
https://doaj.org/article/6d30a6240cae4a95ba2af0a26b53fb70
Autor:
D. Viviroli, A. E. Sikorska-Senoner, G. Evin, M. Staudinger, M. Kauzlaric, J. Chardon, A.-C. Favre, B. Hingray, G. Nicolet, D. Raynaud, J. Seibert, R. Weingartner, C. Whealton
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 22, Pp 2891-2920 (2022)
Estimates for rare to very rare floods are limited by the relatively short streamflow records available. Often, pragmatic conversion factors are used to quantify such events based on extrapolated observations, or simplifying assumptions are made abou
Externí odkaz:
https://doaj.org/article/21d86fd780044c829a8186951a8062b1
Publikováno v:
Earth System Dynamics, Vol 13, Pp 1059-1075 (2022)
Anticipating risks related to climate extremes often relies on the quantification of large return levels (values exceeded with small probability) from climate projection ensembles. Current approaches based on multi-model ensembles (MMEs) usually esti
Externí odkaz:
https://doaj.org/article/babe55cfe480445db6bd3ca890dccf48