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Regional Rainfall Frequency Analysis in the Lower Brahmaputra Basin
AbstractIn this study, a regional rainfall frequency analysis has been conducted for the Lower Brahmaputra Basin in India, and regional rainfall...
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A tale of two stations: a note on rejecting the Gumbel distribution
The existence of an upper limit for extremes of quantities in the earth sciences, e.g. for river discharge or wind speed, is sometimes suggested....
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Assessment of temporal changes in frequency characteristics of annual maximum rainfall of daily duration over Bangladesh
Understanding the changes in the frequency characteristics of extreme rainfall can lead to building an appropriate frequency model which ultimately...
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Generalised Pareto distribution: impact of rounding on parameter estimation
Problems that occur when common methods (e.g. maximum likelihood and L-moments) for fitting a generalised Pareto (GP) distribution are applied to...
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Application of Copulas in Hydrometeorological Drought Risk Analysis Under Climate Change Scenarios- a Case Study
An in-depth understanding of drought frequency analysis in a river basin is possible only with a drought characterisation study. Multiple drought...
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Analysis and characterisation of extreme wind gust hazards in New South Wales, Australia
Extreme wind gusts cause major socioeconomic damage, and the rarity and localised nature of those events make their analysis challenging by either...
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Estimating North Atlantic Hurricane Landfall Counts and Intensities in a Non-stationary Climate
Interest in tropical cyclone risk focuses on landfalling events, particularly on those at higher intensities, which cause the most significant...
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Probability distribution analysis of extreme rainfall events in a flood-prone region of Mumbai, India
Mumbai, being a coastal city surrounded by sea and creeks, is vulnerable to severe flooding almost every year owing to intense rainfall. Therefore,...
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A Dynamic Extreme Value Model with Application to Volcanic Eruption Forecasting
Extreme events such as natural and economic disasters leave lasting impacts on society and motivate the analysis of extremes from data. While...
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Bias and variance reduction of high return levels for extreme hazard modelling
Many existing extremal data span only a few decades that result in large uncertainty in the estimated shape parameter of the extreme hazard model....
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Bias Correction and Trend Analysis of Temperature Data by a High-Resolution CMIP6 Model over a Tropical River Basin
Technological advancements like increase in computational power have led to high-resolution simulations of climate variables by Global Climate Models...
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Joint Return Value Estimation of Significant Wave Heights and Wind Speeds with Bivariate Copulas
The joint design criteria of significant wave heights and wind speeds are quite important for the structural reliability of fixed offshore platforms....
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Extreme value analysis of precipitation and temperature over western Indian Himalayan State, Uttarakhand
Precipitation and temperature are the most important meteorological parameters and their quantitative measurement at various return periods is one of...
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Bias correction of extreme values of high-resolution climate simulations for risk analysis
Most climatic models show that climate change affects natural perils’ frequency and severity. Quantifying the impact of future climate conditions on...
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Correcting biases in tropical cyclone intensities in low-resolution datasets using dynamical systems metrics
Although the life-cycle of tropical cyclones is relatively well understood, many of the underlying physical processes occur at scales below those...
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Exploring the Indian summer monsoon rainfall through multifractal detrended fluctuation analysis and the principle of entropy maximization
The present paper reports a rigorous study of the Indian Summer Monsoon Rainfall (ISMR) through Multifractal Detrended Fluctuation Analysis (MF-DFA)....
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Revisiting the bias correction of climate models for impact studies
Climate models are widely used in climate change impact studies. However, these simulations often cannot be used directly due to inherent...
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Flood Frequency Analysis Using L Moments: a Comparison between At-Site and Regional Approach
Regional flood frequency analysis has been carried out for estimating peak discharge at regional level over the Kerala State, India, along with...
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Modelling temperature extremes in the Limpopo province: bivariate time-varying threshold excess approach
A common problem that arises in extreme value theory when dealing with several variables (such as weather or meteorological) is to find an...
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Projection of future extreme precipitation: a robust assessment of downscaled daily precipitation
Statistical and dynamic downscaling approaches are commonly used to downscale large-scale climatic variables from global circulation (GCM) and...
