Shih-Chieh Kao

TL;DR: In this paper, a modified index accounting for seasonality is proposed for precipitation and streamflow marginals, and a joint deficit index (JDI) is defined by using the distribution function of copulas.

TL;DR: In this paper, the authors used data from 15 global climate models archived in the Coupled Model Intercomparison Project (CMIP5) to assess the likelihood of changes in the spatial extent, duration and number of occurrences of four drought indices.

TL;DR: In this paper, the authors use extreme value theory to examine trends in Indian rainfall over the past half century in the context of long-term, low-frequency variability, and show that when generalized extreme value theories are applied to annual maximum rainfall over India, no statistically significant spatially uniform trends are observed, in agreement with previous studies using different approaches.

TL;DR: This study examines a non‐Archimedean copula from the Plackett family that is founded on the theory of constant cross‐product ratio, and suggests that it provides further flexibility for multivariate stochastic analyses of rainfall.

TL;DR: In this article, a bivariate analysis of extreme rainfall events was conducted using hourly precipitation data from Indiana, USA, using copulas to describe the dependence structures between rainfall variables and to construct their joint distribution for extreme rainfall event.