Western Michigan University
1903 W Michigan Ave
Kalamazoo MI 49008-5424 USA
- Ph.D., Geography, Texas A&M University, 2013
- M.S., Geography, Beijing Normal University, 2008
- B.S., Environmental Science, Nanjing Forestry University, 2004
- Fellows Certificate, Graduate Teaching Academy, Texas A&M University, 2012
- Atmospheric Science, Extreme Weather and Climate Change, especially Tropical Cyclones, Risk Analysis of Natural Disasters
Laiyin Zhu is an associate professor in the Department of Geography, Environment, and Tourism at Western Michigan University. He has broad research interests in Tropical Cyclone Precipitation Climatology, Extreme Weather and Climate Change, Risk Analysis and Community Resilience from Natural Disasters. Specifically, he has developed a new technique that reconstruct the long-term climatology of Tropical Cyclone Precipitation (TCP) at continental scale from historical rain gauge observations. He also developed the first generation of statistical model that can provide seasonal forecasting of TCP ahead of Atlantic hurricane season.
Before WMU, he has worked in multiple scientific projects from National Science Foundation, Department of Energy, and A Private Utility Company. He has worked as a postdoctoral research fellow in the Department of Geography and Environmental Engineering at The Johns Hopkins University. He is one of the developers for an agent-based model that simulates household reconstruction choices and evolution of community resilience in repeated hurricane disasters.
Dr. Zhu has teaching interests and experiences in courses with topics in Geographical Information System (GIS), Extreme Weather and Climate Change, Climate Data Analysis, as well as Environmental Modeling.
GEOG 4685/6685 - Internet GIS
GEOG 3010/5010 - Fund/Intro to GIS
GEOG 1000 - World Ecology Problems
GEOG 3060 - Climate Change: Atmospheric Perspectives
GEOG 3070 - Extreme Weather under Changing Climate
GEOG 4280 – Data Analysis in Climate Science
Reilly, A., Zhu, L, Igusa, T, Guikema, T. (2017) “Evolution of vulnerability of communities facing repeated hazards” PLoS ONE (IF 2.766), doi: https://doi.org/10.1371/journal.pone.0182719
Zhu, L., S. Quiring. (2017) An extraction method for long-term tropical cyclone precipitation from daily rain gauges. Journal of Hydrometerorology (IF 3.790), doi: 10.1175/JHM-D-16-0291.1.
Zhu, L., S. Quiring, K. Emanuel. (2013) Estimating tropical cyclone precipitation risk in Texas. Geophysical Research Letters (IF 4.34), doi: 10.1002/2013GL058284.
Zhu, L., O. Frauenfeld, and S. Quiring. (2013) Seasonal Tropical Cyclone Precipitation (TCP) in Texas: A Statistical Modeling Approach based on a 60-year Climatology. Journal of Geophysical Research–Atmospheres (IF 3.38), doi: 10.1002/jgrd.50663.
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