Climate variability and change in arid regions are important factors in controlling emission, frequency and movement of dust storms. This study provides robust statistical methods including univariate Mann‐Kendall block bootstrapping method and three bivariate trend assessment methods, Covariance Inversion Test, Covariance Sum Test and The Covariance Eigenvalue to detect trends in dust storm frequency across arid regions of Ir...

The lack of data in rainfall stations of Iran is one of the main problems in design and management of hydrologic systems. Moreover, the density of these stations network is not sufficient for estimation of rainfall at ungauged regions. Therefore, regionalization can be an essential tool to be applied for clustering the rainfall and spatial pattern analysis of homogeneous regions to quantify regional rainfall patterns. Homogene...