Zobrazeno 1 - 10
of 397
pro vyhledávání: '"W. Rust"'
Publikováno v:
Hydrology and Earth System Sciences, Vol 26, Pp 2449-2467 (2022)
Drought forecasting and early warning systems for water resource extremes are increasingly important tools in water resource management in Europe where increased population density and climate change are expected to place greater pressures on water s
Externí odkaz:
https://doaj.org/article/3d4a855a5c654474ad2559645db22e84
Publikováno v:
Hydrology and Earth System Sciences, Vol 25, Pp 2223-2237 (2021)
An understanding of multi-annual behaviour in streamflow allows for better estimation of the risks associated with hydrological extremes. This can enable improved preparedness for streamflow-dependant services, such as freshwater ecology, drinking wa
Externí odkaz:
https://doaj.org/article/2644f0bdd8bc4a5a87bcb8a95d3a0cf5
Publikováno v:
Hydrology and Earth System Sciences, Vol 23, Pp 3233-3245 (2019)
Predicting the next major drought is of paramount interest to water managers globally. Estimating the onset of groundwater drought is of particular importance, as groundwater resources are often assumed to be more resilient when surface water resourc
Externí odkaz:
https://doaj.org/article/0682a0086c874ab8981f0cbb5fe49a51
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 24, Pp 1261-1285 (2024)
Annual maxima of daily precipitation sums can be typically described well with a stationary generalized extreme value (GEV) distribution. In many regions of the world, such a description does also work well for monthly maxima for a given month of the
Externí odkaz:
https://doaj.org/article/baea99f161b34e32ab0d535649f20a1f
Publikováno v:
Hydrology and Earth System Sciences, Vol 28, Pp 321-339 (2024)
The interaction between forest and climate exhibits regional differences due to a variety of biophysical mechanisms. Observational and modeling studies have investigated the impacts of forested and non-forested areas on a single climate variable, but
Externí odkaz:
https://doaj.org/article/5af386c893f04ebca06cf79cd529af5f
Autor:
Laura O. H. Rust, Tyler J. Gorham, Sven Bambach, Ryan S. Bode, Tensing Maa, Jeffrey M. Hoffman, Steven W. Rust
Publikováno v:
Pediatric Critical Care Medicine. 24:322-333
Publikováno v:
Stochastic Environmental Research and Risk Assessment. 37:1963-1981
For modeling extreme rainfall, the widely used Brown-Resnick max-stable model extends the concept of the variogram to suit bloc maxima, allowing the explicit modeling of the extremal dependence shown by the spatial data. This extremal dependence stem
Publikováno v:
Hydrology and Earth System Sciences, Vol 21, Pp 6501-6517 (2017)
For several hydrological modelling tasks, precipitation time series with a high (i.e. sub-daily) resolution are indispensable. The data are, however, not always available, and thus model simulations are used to compensate. A canonical class of sto
Externí odkaz:
https://doaj.org/article/93301b6f8bb547bfb4332136c0a37c9e
Autor:
Tim Kruschke, Henning W. Rust, Christopher Kadow, Wolfgang A. Müller, Holger Pohlmann, Gregor C. Leckebusch, Uwe Ulbrich
Publikováno v:
Meteorologische Zeitschrift, Vol 25, Iss 6, Pp 721-738 (2016)
Winter wind storms related to intense extra-tropical cyclones are meteorological extreme events, often with major impacts on economy and human life, especially for Europe and the mid-latitudes. Hence, skillful decadal predictions regarding the freque
Externí odkaz:
https://doaj.org/article/2754b8eb4d3449bba4379f6233f8e79f
Annual maxima of daily precipitation sums can be typically described well with a stationary generalized extreme value (GEV) distribution. In many regions of the world, such a description does also work well for monthly maxima for a given month of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22981680b945f675104c50cb3200b6ce
https://nhess.copernicus.org/preprints/nhess-2023-62/
https://nhess.copernicus.org/preprints/nhess-2023-62/