Dr. Bo-Wen Shen is an associate professor in the department of mathematics and statistics at San Diego State University. He received his master and PhD degrees in 1992 and 1998, respectively, and mainly worked on theoretical and modeling studies for mountain waves at a wide range of scales, effects critical levels and non-geostrophic instability. Before pursuing his PhD degree at NCSU during 1995-1998, he once worked as a Unix system application developer, and developed a real-time multi-tasking client-server-based meteorological information system in Taipei, Taiwan. Since 1999, Dr. Shen has worked as research scientist at NASA/GSFC and SAIC and UMCP/ESSIC, and has had more than 15 years of experiences in mesoscale and global modeling, and in model's application to numerical weather prediction (NWP). During the past years, he has gained valuable experiences in model's framework and performance with different mesoscale models such as MM4/MM5, NCSU-GFDM, ARPS, and WRF.

While working at GSFC, he has worked mainly on the scientific improvement and computational development of the fvGCM's (finite-volume general circulation model) and developed a NWP suite with the fvGCM. During 2004-2006, he has successfully implemented an ultra-high resolution fvGCM on the NASA Columbia supercomputer, aimed at improving our understanding of the impacts of multi-scale interactions and multiple processes on hurricane dynamics. Two of his research articles with the ultra-high resolution global model were highlighted by Science Magazine and American Geophysical Union in 2006, and cited as pioneering work by Prof. Roger Pielke Sr. His project presentations on high-resolution hurricane predictions were selected as one of NASA top four and top three project demonstrations at Supercomputing Conferences in 2004 and 2008, 2009, and 2010 respectively.  In addition, he received ten outstanding awards at NASA/GSFC and University of Maryland, College Park during 2001-2010. He joined the mesoscale dynamics and modeling group in 2006, and worked on the development of multi-scale modeling framework (fvMMF). He conducted research on improving understanding of the hierarchical multiscale interactions during the tropical cyclogenesis associated with a Madden-Julian Oscillation or an African Easterly Wave, aimed at improving the lead time of tropical cyclone prediction by improving multiscale interactions. 

Since 2011, he has studied the chaos in high-order Lorenz models with the aim of understanding the impact of butterfly effect on predictability. He is also the PI for the development of the parallel empirical mode decomposition (PEEMD) for the multiscale analysis of tropical cyclone formation associated with large-scale tropical waves. He joined San Diego State University in 2014. 

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