Parametrized eXtreme Rain (PXR) is a dataset that simplifies the representation of extreme precipitation on a global scale. It allows the creation of Itensity-Duration-Frequency (IDF) curves. PXR are created by fitting the extreme value distribution on the annual precipitation maxima obtained by reanalysis. PXR-2 consists of maps of the Gumbel parameters for 19 event durations (1 to 360 hours). PXR-4 uses the scaling characteristic of the distribution parameters to provide a simpler, four-parameter dataset that could be employed to create IDF curves for a range of durations
This is a copy of the author 's final draft version of an article published in the journal Theoretic...
AbstractMany probability distributions have been developed to model the extreme rainfall processes. ...
Abstract Extreme rainfall events and the clustering of extreme values provide fundamental informatio...
Parametrized eXtreme Rain (PXR) is a dataset that simplifies the representation of extreme precipita...
Intensity-Duration-Frequency (IDF) curves usefully quantify extreme precipitation over various durat...
Intensity-duration-frequency (IDF) curves usefully quantify extreme precipitation over various durat...
In fields such as hydrology, meteorology, and civil engineering, the study of extreme precipitation ...
Quantifying the magnitude and frequency of extreme precipitation events is key in translating climat...
The parameter estimation methods of (1) moments, (2) maximum-likelihood, (3) probability-weighted mo...
Extreme precipitation is highly variable in space and time. It is therefore important to characteri...
Extreme rainfall is quantified in engineering practice using Intensity–Duration–Frequency curves (ID...
Extreme precipitation models are crucial for understanding the characteristics of extreme weather, e...
Intensity-Duration-Area-Frequency (IDAF) models provide the mathematical link between precipitation ...
Intensity-duration-frequency (IDF) curves representing the variation of the magnitude of extreme rai...
There is a predicted increase in extreme rainfall due to climate change. This may lead to an increas...
This is a copy of the author 's final draft version of an article published in the journal Theoretic...
AbstractMany probability distributions have been developed to model the extreme rainfall processes. ...
Abstract Extreme rainfall events and the clustering of extreme values provide fundamental informatio...
Parametrized eXtreme Rain (PXR) is a dataset that simplifies the representation of extreme precipita...
Intensity-Duration-Frequency (IDF) curves usefully quantify extreme precipitation over various durat...
Intensity-duration-frequency (IDF) curves usefully quantify extreme precipitation over various durat...
In fields such as hydrology, meteorology, and civil engineering, the study of extreme precipitation ...
Quantifying the magnitude and frequency of extreme precipitation events is key in translating climat...
The parameter estimation methods of (1) moments, (2) maximum-likelihood, (3) probability-weighted mo...
Extreme precipitation is highly variable in space and time. It is therefore important to characteri...
Extreme rainfall is quantified in engineering practice using Intensity–Duration–Frequency curves (ID...
Extreme precipitation models are crucial for understanding the characteristics of extreme weather, e...
Intensity-Duration-Area-Frequency (IDAF) models provide the mathematical link between precipitation ...
Intensity-duration-frequency (IDF) curves representing the variation of the magnitude of extreme rai...
There is a predicted increase in extreme rainfall due to climate change. This may lead to an increas...
This is a copy of the author 's final draft version of an article published in the journal Theoretic...
AbstractMany probability distributions have been developed to model the extreme rainfall processes. ...
Abstract Extreme rainfall events and the clustering of extreme values provide fundamental informatio...