My research focuses on developing statistical models and methods for spatial and spatial-temporal data. In particular, I am interested in studying and modeling the nonstationary covariance structure and the nature of the spatial-temporal interactions in various environmental applications. Regarding statistical methodology and theory, I am interested in developing parametric covariance model classes suitable for spatial and spatial-temporal processes on the surface of a sphere, geared towards data sets on a global scale (such as satellite data and numerical model outputs), and studying their characteristics. I work on various application problems, such as data assimilation (ensemble Kalman filter method), validation of climate model outputs, and analysis of surface images from geographic applications.
