Pages that link to "Item:Q2260169"

The following pages link to Spatial hierarchical modeling of precipitation extremes from a regional climate model (Q2260169):

Displaying 38 items.

• A spatio-temporal dynamic regression model for extreme wind speeds (Q488093) (← links)
• A spatial analysis of multivariate output from regional climate models (Q542461) (← links)
• A comparison study of extreme precipitation from six different regional climate models via spatial hierarchical modeling (Q549647) (← links)
• Modelling the clustering of extreme events for short-term risk assessment (Q782718) (← links)
• Heavy tailed durations of regional rainfall. (Q834022) (← links)
• Geoadditive modeling for extreme rainfall data (Q1621237) (← links)
• A Bayesian hierarchical model for spatial extremes with multiple durations (Q1659481) (← links)
• Hot enough for you? a spatial exploratory and inferential analysis of North American climate-change projections (Q1788883) (← links)
• Assessing the risk of disruption of wind turbine operations in Saudi Arabia using Bayesian spatial extremes (Q2028587) (← links)
• Modeling of extreme events and regional climate variability on the territory of the Caucasus (Georgia) (Q2050324) (← links)
• Modelling extremes of spatial aggregates of precipitation using conditional methods (Q2080785) (← links)
• Interpolation of precipitation extremes on a large domain toward IDF curve construction at unmonitored locations (Q2102962) (← links)
• Approximate Bayesian inference for analysis of spatiotemporal flood frequency data (Q2154186) (← links)
• Some statistical issues in climate science (Q2218015) (← links)
• Estimating high-resolution red sea surface temperature hotspots, using a low-rank semiparametric spatial model (Q2245130) (← links)
• Spatio-temporal modelling of extreme storms (Q2258573) (← links)
• A hierarchical model for the analysis of spatial rainfall extremes (Q2259827) (← links)
• Multivariate spatial analysis of climate change projections (Q2261047) (← links)
• Improved return level estimation via a weighted likelihood, latent spatial extremes model (Q2272998) (← links)
• A hierarchical multivariate spatio-temporal model for clustered climate data with annual cycles (Q2318659) (← links)
• Extreme value analysis for evaluating ozone control strategies (Q2443142) (← links)
• (Q4892519) (← links)
• Multivariate modelling of spatial extremes based on copulas (Q4960693) (← links)
• Investigating precipitation extremes in South Carolina with focus on the state's October 2015 precipitation event (Q5036505) (← links)
• (Q5091388) (← links)
• Toward Optimal Fingerprinting in Detection and Attribution of Changes in Climate Extremes (Q5857117) (← links)
• Statistical modeling of spatial extremes (Q5962684) (← links)
• Spatial extreme value analysis to project extremes of large‐scale indicators for severe weather (Q6069104) (← links)
• Bayesian hierarchical modeling of extreme hourly precipitation in Norway (Q6139129) (← links)
• Computationally efficient spatial modeling of annual maximum 24‐h precipitation on a fine grid (Q6139151) (← links)
• Advances in statistical modeling of spatial extremes (Q6602343) (← links)
• The poly-log Weibull model applied to space-time interpolation of temperature (Q6626010) (← links)
• A Bayesian spatial hierarchical model for extreme precipitation in Great Britain (Q6626027) (← links)
• Nonstationarity in peaks-over-threshold river flows: a regional random effects model (Q6626090) (← links)
• Model-based inference of conditional extreme value distributions with hydrological applications (Q6626108) (← links)
• Investigating the association between late spring Gulf of Mexico sea surface temperatures and U.S. Gulf Coast precipitation extremes with focus on Hurricane Harvey (Q6626133) (← links)
• Bayesian spatial extreme value analysis of maximum temperatures in County Dublin, Ireland (Q6626163) (← links)
• On the spatial and temporal shift in the archetypal seasonal temperature cycle as driven by annual and semi-annual harmonics (Q6626399) (← links)