spatial modulation

Estimating High-Resolution Red Sea Surface Temperature Hotspots, Using a Low-Rank Semiparametric Spatial Model

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KAUST

In this work, we estimate extreme sea surface temperature (SST) hotspots, i.e., high threshold exceedance regions, for the Red Sea, a vital region of high biodiversity. We analyze high-resolution satellite-derived SST data comprising daily measurements at 16703 grid cells across the Red Sea over the period 1985–2015. We propose a semiparametric Bayesian spatial mixed-effects linear model with a flexible mean structure to capture spatially-varying trend and seasonality, while the residual spatial variability is modeled through a Dirichlet process mixture (DPM) of low-rank spatial Student-t processes (LTPs). By specifying cluster-specific parameters for each LTP mixture component, the bulk of the SST residuals influence tail inference and hotspot estimation only moderately. Our proposed model has a nonstationary mean, covariance and tail dependence, and posterior inference can be drawn efficiently through Gibbs sampling. In our application, we show that the proposed method outperforms some natural parametric and semiparametric alternatives.

Shuaishuai Guo

Postdoctoral Research Fellow, Electrical and Computer Engineering
Shuaishuai Guo is a Postdoctoral Fellow with Computer, Electrical and Mathematical Science and Engineering (CEMSE), King Abdullah University of Science and Technology (KAUST), working with Professor Mohamed-Slim Alumni in the Communication Theory Laboratory. Education and Early Career Shuaishuai Guo received the B.E and Ph.D. degrees in communication and information systems from the School of Information Science and Engineering, Shandong University, Jinan, China, in 2011 and 2017, respectively. During 2016-2017, he visited the University of Tennessee at Chattanooga (UTC) as a visiting scholar

Hui Zhao

Hui Zhao is an MS/Ph.D. student in the Communication Theory Lab (CTL) under the supervision of Professor Mohamed-Slim Alouini at King Abdullah University of Science and Technology (KAUST). Education and Early Career Hui Zhao obtained his bachelor degree in Telecommunications Engineering from Southwest University (SWU) in 2016. Research Interest Hui Zhao is focusing in the area of performance analysis of wireless communication, optimization about power allocation, stochastic geometry, spatial modulation. Education Profile MS in Electrical Engineering, Kind Abdullah University of Science and