Pages that link to "Item:Q6179631"

The following pages link to Spatial modelling framework for the characterisation of rainfall extremes at different durations and under climate change (Q6179631):

Displaying 16 items.

• A comparison study of extreme precipitation from six different regional climate models via spatial hierarchical modeling (Q549647) (← links)
• Geoadditive modeling for extreme rainfall data (Q1621237) (← links)
• Extreme value estimation for discretely sampled continuous processes (Q1633432) (← links)
• The MELBS team winning entry for the EVA2017 competition for spatiotemporal prediction of extreme rainfall using generalized extreme value quantiles (Q1792637) (← links)
• Interpolation of precipitation extremes on a large domain toward IDF curve construction at unmonitored locations (Q2102962) (← links)
• Modelling sub-daily precipitation extremes with the blended generalised extreme value distribution (Q2102980) (← links)
• A hierarchical model for the analysis of spatial rainfall extremes (Q2259827) (← links)
• Improved return level estimation via a weighted likelihood, latent spatial extremes model (Q2272998) (← links)
• Spatial-temporal rainfall modelling for flood risk estimation (Q2505909) (← links)
• (Q4892519) (← links)
• (Q5310521) (← links)
• Ordered random variables (Q5915977) (← links)
• Computationally efficient spatial modeling of annual maximum 24‐h precipitation on a fine grid (Q6139151) (← links)
• The new family of Fisher copulas to model upper tail dependence and radial asymmetry: properties and application to high-dimensional rainfall data (Q6625903) (← links)
• Bayesian spatial extreme value analysis of maximum temperatures in County Dublin, Ireland (Q6626163) (← links)
• Smooth copula-based generalized extreme value model and spatial interpolation for extreme rainfall in Central Eastern Canada (Q6626585) (← links)