Zobrazeno 1 - 10
of 1 403
pro vyhledávání: '"M. Zappa"'
Autor:
M. Höge, M. Kauzlaric, R. Siber, U. Schönenberger, P. Horton, J. Schwanbeck, M. G. Floriancic, D. Viviroli, S. Wilhelm, A. E. Sikorska-Senoner, N. Addor, M. Brunner, S. Pool, M. Zappa, F. Fenicia
Publikováno v:
Earth System Science Data, Vol 15, Pp 5755-5784 (2023)
We present CAMELS-CH (Catchment Attributes and MEteorology for Large-sample Studies – Switzerland), a large-sample hydro-meteorological data set for hydrologic Switzerland in central Europe. This domain covers 331 basins within Switzerland and neig
Externí odkaz:
https://doaj.org/article/3f2bb4f954b64eee88dab45a87aca41d
Autor:
L. J. Slater, L. Arnal, M.-A. Boucher, A. Y.-Y. Chang, S. Moulds, C. Murphy, G. Nearing, G. Shalev, C. Shen, L. Speight, G. Villarini, R. L. Wilby, A. Wood, M. Zappa
Publikováno v:
Hydrology and Earth System Sciences, Vol 27, Pp 1865-1889 (2023)
Hybrid hydroclimatic forecasting systems employ data-driven (statistical or machine learning) methods to harness and integrate a broad variety of predictions from dynamical, physics-based models – such as numerical weather prediction, climate, land
Externí odkaz:
https://doaj.org/article/a3319d8c27b9466ea2e0d6a22320a892
Autor:
E. Zampogna, G.B. Migliori, R. Centis, F. Cherubino, C. Facchetti, D. Feci, G. Palmiotto, P. Pignatti, L. Saderi, G. Sotgiu, A. Spanevello, M. Zappa, D. Visca
Publikováno v:
Pulmonology, Vol 27, Iss 5, Pp 452-455 (2021)
Externí odkaz:
https://doaj.org/article/d9da75f9b6e04854b45b72bd4b95526c
Publikováno v:
Hydrology and Earth System Sciences, Vol 24, Pp 5015-5025 (2020)
Evapotranspiration (ET) influences land–climate interactions, regulates the hydrological cycle, and contributes to the Earth's energy balance. Due to its feedback to large-scale hydrological processes and its impact on atmospheric dynamics, ET is o
Externí odkaz:
https://doaj.org/article/41c8ea5ff7e64fc4baf77b6d8db16cbb
Publikováno v:
Hydrology and Earth System Sciences, Vol 24, Pp 1319-1345 (2020)
This study documents the development of a semi-distributed hydrological model aimed at reflecting the dominant controls on observed streamflow spatial variability. The process is presented through the case study of the Thur catchment (Switzerland, 17
Externí odkaz:
https://doaj.org/article/cbba78618af34bfbb585212aa69dca37
Publikováno v:
Geoscientific Model Development, Vol 13, Pp 537-564 (2020)
We present FORHYCS (FORests and HYdrology under Climate Change in Switzerland), a distributed ecohydrological model to assess the impact of climate change on water resources and forest dynamics. FORHYCS is based on the coupling of the hydrological mo
Externí odkaz:
https://doaj.org/article/8e9028fda03b4be58343688562f54bd4
Extremeness of recent drought events in Switzerland: dependence on variable and return period choice
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 19, Pp 2311-2323 (2019)
The 2018 drought event had severe ecological, economic, and social impacts. How extreme was it in Switzerland? We addressed this question by looking at different types of drought, including meteorological, hydrological, agricultural, and groundwater
Externí odkaz:
https://doaj.org/article/ff43c1ebfaf043a28c1060271bf29155
Publikováno v:
Hydrology and Earth System Sciences, Vol 23, Pp 4471-4489 (2019)
Extreme low and high flows can have negative economic, social, and ecological effects and are expected to become more severe in many regions due to climate change. Besides low and high flows, the whole flow regime, i.e., annual hydrograph comprised o
Externí odkaz:
https://doaj.org/article/442be5c74f524a61ba39019520dfaae3
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 19, Pp 19-40 (2019)
Flash floods evolve rapidly during and after heavy precipitation events and represent a potential risk for society. To predict the timing and magnitude of a peak runoff, it is common to couple meteorological and hydrological models in a forecasting c
Externí odkaz:
https://doaj.org/article/705afc5b8565423cb272fe492bbbb278
Publikováno v:
Hydrology and Earth System Sciences, Vol 23, Pp 493-513 (2019)
Traditional ensemble streamflow prediction (ESP) systems are known to provide a valuable baseline to predict streamflows at the subseasonal to seasonal timescale. They exploit a combination of initial conditions and past meteorological observations,
Externí odkaz:
https://doaj.org/article/de8a67d3d9bf4109809a76f226c23821