Copula based drought frequency analysis considering the spatio-temporal variability in Southwest China

By Kai Xu, Dawen Yang, Xiangyu Xu, H. Lei. 2015

238 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/7c91da0e5831a963b0a8001dd50873a3a3e0c39a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Global and Planetary Change

1. R. Palmer
2. Kuk‐Hyun Ahn

In Water Science and Technology

1. R. Palmer
2. Kuk‐Hyun Ahn

Citations in the corpus

• Use of a nonstationary copula to predict future bivariate low flow frequency in the Connecticut river basin (2016, background): “Frequency analysis of extreme events is fundamental to our understanding of hydrologic variables (Cancelliere and Salas, 2010; Xu et al., 2015) and is a standard input for water resources planning and management.”