Zobrazeno 1 - 10
of 952
pro vyhledávání: '"C Favre"'
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:
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:
Environmental Research: Climate, Vol 3, Iss 4, p 045013 (2024)
A recurrent question in climate risk analysis is determining how climate change will affect heavy precipitation patterns. Dividing the globe into homogeneous sub-regions should improve the modeling of heavy precipitation by inferring common regional
Externí odkaz:
https://doaj.org/article/24e6ae31dd954150969865b289a22843
Publikováno v:
Hydrology and Earth System Sciences, Vol 26, Pp 2797-2811 (2022)
In this article, we compare the performance of three regionalization approaches in improving the at-site estimates of daily precipitation. The first method is built on the idea of conventional RFA (regional frequency analysis) but is based on a fast
Externí odkaz:
https://doaj.org/article/5ece852b8d364156b217be5a5509dd88
Publikováno v:
Hydrology and Earth System Sciences, Vol 24, Pp 4339-4352 (2020)
Natural risk studies such as flood risk assessments require long series of weather variables. As an alternative to observed series, which have a limited length, these data can be provided by weather generators. Among the large variety of existing one
Externí odkaz:
https://doaj.org/article/bed02fc8f8094ce3ac13a2fc70c76782
Autor:
F. Locatelli, F. Luisi, M. Pianovski, M. A. Salvino, F. Fagioli, S. Epelman, L. Britto De Abreu Lima, R. Norris, V. Odone Filho, M. Zecca, C. Favre, R. Kobayashi, Y. Koga, Y. Sidi, X. Zhou, X. Bai, F. Campana, E. J. Leonard, A. R. Franklin
Publikováno v:
HemaSphere, Vol 6, Pp 978-979 (2022)
Externí odkaz:
https://doaj.org/article/3419f46a82604e3da1e8615b03e1ae20
Publikováno v:
Hydrology and Earth System Sciences, Vol 23, Pp 107-124 (2019)
Floods often affect not only a single location, but also a whole region. Flood frequency analysis should therefore be undertaken at a regional scale which requires the considerations of the dependence of events at different locations. This dependence
Externí odkaz:
https://doaj.org/article/0816ad3e99e3455091dc3464faa44dfa
Publikováno v:
Hydrology and Earth System Sciences, Vol 22, Pp 265-286 (2018)
Statistical downscaling models (SDMs) are often used to produce local weather scenarios from large-scale atmospheric information. SDMs include transfer functions which are based on a statistical link identified from observations between local wea
Externí odkaz:
https://doaj.org/article/3ddfb2767428458ab18d6ec9db07cfd2
Publikováno v:
Hydrology and Earth System Sciences, Vol 22, Pp 655-672 (2018)
Many multi-site stochastic models have been proposed for the generation of daily precipitation, but they generally focus on the reproduction of low to high precipitation amounts at the stations concerned. This paper proposes significant extensions
Externí odkaz:
https://doaj.org/article/16029e1613d141189413ecd1edc97002
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