Zobrazeno 1 - 10
of 98
pro vyhledávání: '"Fabrizio Fenicia"'
Autor:
Thiago V. M. do Nascimento, Julia Rudlang, Marvin Höge, Ruud van der Ent, Máté Chappon, Jan Seibert, Markus Hrachowitz, Fabrizio Fenicia
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-19 (2024)
Abstract Large-sample hydrology datasets have become increasingly available, contributing to significant scientific advances. However, in Europe, only a few such datasets have been published, capturing only a fraction of the wealth of information fro
Externí odkaz:
https://doaj.org/article/589176f22a01472ea2058c7cc70f412f
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 44, Iss , Pp 101253- (2022)
Study region: Middle and lower Hanjiang River (MLHR) basin, China. Study focus: Changes in streamflow are often due to intertwined factors like climatic variability, land use change, and hydraulic constructions, whose relative impact is however poorl
Externí odkaz:
https://doaj.org/article/6fcb9d6edd314acf8a7d380d982a6b2a
Publikováno v:
Hydrology, Vol 3, Iss 2, p 22 (2016)
This study investigates how the performance of a set of models depends on the catchments to which these models are applied. It examines (i) whether it is possible to identify a single best model for each of the catchments, or whether results are domi
Externí odkaz:
https://doaj.org/article/1cb2af894f554bd8a22b5ff05deed4f6
Autor:
Fabrizio Fenicia, Jeffrey J. McDonnell
Identifying hydrological regularities, such as patterns and laws that explain the observed variability in catchment response, is an important objective of catchment hydrology. These insights could contribute regional knowledge that can be exploited i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::38d395ba52bb839f9f1cf2d78d922a7d
https://doi.org/10.5194/egusphere-egu23-11988
https://doi.org/10.5194/egusphere-egu23-11988
Autor:
Chaopeng Shen, Alison Appling, Pierre Gentine, Toshiyuki Bandai, Hoshin Gupta, Alexandre Tartakovsky, Marco Baity-Jesi, Fabrizio Fenicia, Daniel Kifer, Xiaofeng Liu, Li Li, Dapeng Feng, Wei Ren, Yi Zheng, Ciaran Harman, Martyn Clark, Matthew Farthing, Praveen Kumar
Process-Based Modeling (PBM) and Machine Learning (ML) are often perceived as distinct paradigms in the geosciences. Here we present differentiable geoscientific modeling as a powerful pathway toward dissolving the perceived barrier between them and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b86f638d2c042306a9ef3fba171ef47
https://doi.org/10.5194/egusphere-egu23-15968
https://doi.org/10.5194/egusphere-egu23-15968
Neural Ordinary Differential Equation (ODE) models have demonstrated high potential in providing accurate hydrologic predictions and process understanding for single catchments (Höge et al., 2022). Neural ODEs fuse a neural network model core with a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6975134c986f879f1756713ac404631
https://doi.org/10.5194/egusphere-egu23-6466
https://doi.org/10.5194/egusphere-egu23-6466
Autor:
Hongkai Gao, Zehua Chang, Chuntan Han, Rensheng Chen, Kang Wang, Fabrizio Fenicia, Hubert Savenije
Increased attention directed at cryosphere hydrology is prompted by climate change. In spite of an increasing number of field measurements and modeling studies, the impact of cryospheric change, especially of frozen soil, on hydrological processes at
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0db15112d0c6f28120fcf76b4a0f0bb
https://doi.org/10.5194/egusphere-egu23-4693
https://doi.org/10.5194/egusphere-egu23-4693
Autor:
Marco Dal Molin, Fabrizio Fenicia
Climate change modifies the magnitude and timing of precipitation, temperature patterns, and snow dynamics. Hence, it can have a huge impact on water resources, conditioning their availability and generating great losses due, for example, to draughts
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfc4cf75ca4e273e8a3164556dd9a69f
https://doi.org/10.5194/egusphere-gc8-hydro-3
https://doi.org/10.5194/egusphere-gc8-hydro-3
Publikováno v:
eISSN
Traditional "physically-based" hydrological models are based on the assumption that soil is key in determining water's fate. According to these models, soil properties determine water movement in both saturated and unsaturated zones, described by mat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::330ec612e57cdf606d444794db6fabc5
https://doi.org/10.5194/egusphere-2023-125
https://doi.org/10.5194/egusphere-2023-125
Autor:
Rosi Siber, Marvin Höge, Martina Kauzlaric, Ursula Schönenberger, Pascal Horton, Jan Schwanbeck, Daniel Viviroli, Massimiliano Zappa, Anna E. Sikorska-Senoner, Sandra Pool, Marius Günter Floriancic, Peter Reichert, Jan Seibert, Nans Addor, Bettina Schaefli, Fabrizio Fenicia
Publikováno v:
Siber, Rosi; Höge, Marvin; Kauzlaric, Martina; Schönenberger, Ursula; Horton, Pascal; Schwanbeck, Jan; Viviroli, Daniel; Zappa, Massimiliano; Sikorska-Senoner, Anna E.; Pool, Sandra; Floriancic, Marius Günter; Reichert, Peter; Seibert, Jan; Addor, Nans; Schaefli, Bettina; Fenicia, Fabrizio (May 2022). CAMELS-CH-Building a Common Open Database for Catchments in Switzerland. In: EGU General Assembly 2022. Vienna, Austria. 23–27 May 2022. 10.5194/egusphere-egu22-9859
Over recent years, numerous open catchment datasets have been published. In 2017, the first CAMELS (catchment attributes and meteorology for large-sample studies) dataset was released for the continental US by Addor et al. (2017). It comprises data f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5285836eec4430cb98f2b7ddb4e02a2
https://doi.org/10.5194/egusphere-egu22-9859
https://doi.org/10.5194/egusphere-egu22-9859