Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Oscar E. Jurado"'
Publikováno v:
Water, Vol 12, Iss 12, p 3314 (2020)
To explicitly account for asymptotic dependence between rainfall intensity maxima of different accumulation duration, a recent development for estimating Intensity-Duration-Frequency (IDF) curves involves the use of a max-stable process. In our study
Externí odkaz:
https://doaj.org/article/883977a100824a7687d21ef0f3e48f76
Publikováno v:
Water, Vol 12, Iss 11, p 3119 (2020)
Given that long time series for temporally highly resolved precipitation observations are rarely available, it is necessary to pool information to obtain reliable estimates of the distribution of extreme precipitation, especially for short durations.
Externí odkaz:
https://doaj.org/article/809fdb2df148468ead2c64751aadef33
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:
Atmospheric Chemistry and Physics, Vol 22, Pp 1905-1919 (2022)
Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
Ozone pollution and high temperatures have adverse health impacts that can be amplified by the combined effects of ozone and temperature. Moreover, changes in weather patterns are expected to alter ozone pollution episodes and temperature extremes. I
Autor:
Oscar E. Jurado, Henning W. Rust
Recent developments in Extreme Value Theory have led to the adoption of multivariate methods for modeling extreme rainfall in a way that the spatial dependence between the different measuring stations is used to "borrow“ information. A commonly use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26fbbb0fb0f68b31610ce328886fc5e8
https://doi.org/10.5194/egusphere-egu22-3660
https://doi.org/10.5194/egusphere-egu22-3660
Assessing the relationship between intensity, duration and frequency (IDF) of extreme precipitation is required for the design of water management systems. However, when modeling sub-daily precipitation extremes, there are commonly only short observa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4401c924e9b4c1f6bb4ab5fd13ffc6af
https://hess.copernicus.org/preprints/hess-2021-334/
https://hess.copernicus.org/preprints/hess-2021-334/
Intensity-Duration-Frequency (IDF) curves describe the main statistical characteristics of extreme precipitation events. Providing information on the exceedance probability or return period of certain precipitation intensities for a range of duration
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4efab90c508987219bdd83bfbfb41335
https://doi.org/10.5194/egusphere-egu21-7562
https://doi.org/10.5194/egusphere-egu21-7562
Intensity-Duration-Frequency (IDF) Curves are a popular tool in Hydrology for estimating the properties of extreme precipitation events. They describe the relationship between rainfall intensity and duration for a given non-exceedance probability (or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::230892de8c91e8482897c40dd1fa2191
https://doi.org/10.5194/egusphere-egu2020-18724
https://doi.org/10.5194/egusphere-egu2020-18724
A recent development in the modeling of intensity-duration-frequency (IDF) curves involves the use of a spatial max-stable process to explicitly account for asymptotic dependence between durations. To accomplish this, we use a duration-space instead
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70ffd9b8471d2f1c717d8d93aa5123c4
https://doi.org/10.5194/egusphere-egu2020-19707
https://doi.org/10.5194/egusphere-egu2020-19707
Publikováno v:
Water, Vol 12, Iss 3119, p 3119 (2020)
Water
Volume 12
Issue 11
Water
Volume 12
Issue 11
Given that long time series for temporally highly resolved precipitation observations are rarely available, it is necessary to pool information to obtain reliable estimates of the distribution of extreme precipitation, especially for short durations.