GRANTS & PROPOSALS

Funded Grants (7 projects, total funding awarded: $76,263)

(7) PI, Investigating Land-Atmosphere Interactions and Precipitation Variations for Landfalling Tropical Cyclones, 2022-2023 Faculty Research and Creative Activities Award, Western Michigan University. June 2022 to June 2023, $9,995 funded.

(6) PI, Investigating Tropical Cyclone Floods and Power Outages in Fujian, China, Milton & Ruth Scherer Endowment Fund, Western Michigan University. June 2022 to June 2024, $56,057 funded.

(5) PI, The Louis Stokes Alliances for Minority Participation (LSAMP) program in Michigan, NSF grant funded to College of Engineering, Western Michigan University. $6,000 stipend awarded for one undergraduate student worker from 10/21/2019 to 07/22/2020, $750 awarded for to Dr. Laiyin Zhu as the supervisor.

(4) PI, Support for Faculty Scholars Award (SFSA): “Analyzing Power Outages in Hurricanes, The Office of the Vice President for Research, Western Michigan University, Nov 2018 to Nov 2019, $1,961 awarded.

(2 & 3) Association of Geography Graduate Students (AGGS) Type I Grant, Department of Geography, Texas A&M University, 2011 and 2009, $500 awarded each time.

(1) Research and Presentation Grants, Office of Graduate Studies, Texas A&M University, 2010, $500 awarded.

Web of Science ID: AFR-8302-2022 | ORCID: 0000-0003-3612-7583 | Total journal publications: 24 (first/corresponding author: 13)

Web of Science | Google Scholar

List of Publications

Bold for leading author, * for corresponding author, † for authorship by a supervised student

(24) Qin, L.†, L. Zhu*, Liu, B. et al. 2024: Global expansion of tropical cyclone precipitation footprint. Nature Communications, https://doi.org/10.1038/s41467-024-49115-1

(23) Qin, L.†, L. Zhu*, Liao, X. et al. 2024 Recent northward shift of tropical cyclone economic risk in China. npj Nat. Hazards, https://doi.org/10.1038/s44304-024-00008-9

(22) Zhu, L. *, Liu B., Su, H., Guikema, S. 2023: Impacts of climate change on cassava yield and lifecycle energy and greenhouse gas performance of cassava ethanol systems: An example from Guangxi Province, China. Journal of Environment Management, https://doi.org/10.1016/j.jenvman.2023.119162

(21) Meng, L., L. Zhu*, 2023: Modeling monthly and seasonal Michigan snowfall based on machine learning: A multiscale approach. Artificial Intelligence for the Earth Systems, https://doi.org/10.1175/AIES-D-23-0016.1

(20) Zhou, Y., L. Zhu, C. J. Matyas, H. Luan, J. Tang, 2023: Assessing environmental conditions associated with spatially varying rainfall structure of North Atlantic tropical cyclones: An object-based climatological analysis. International Journal of Climatology. https://doi.org/10.1002/joc.8156

(19) Zhu, L., S. M. Quiring, 2022: Exposure to precipitation from tropical cyclones has increased over the continental United States from 1948 to 2019. Communications Earth & Environment, 3 (1), 1-8. https://www.nature.com/articles/s43247-022-00639-8

(18) Zhu, L. *, K. Emanuel, and S. M. Quiring, 2021: Elevated risk of tropical cyclone precipitation and pluvial flood in Houston under global warming. Environmental Research Letters, 16, 094030. https://iopscience.iop.org/article/10.1088/1748-9326/ac1e3d

(17) Zhu, L. *, and P. Aguilera, 2021: Evaluating variations in Tropical Cyclone Precipitation in eastern Mexico using machine learning techniques. Journal of Geophysical Research: Atmospheres, 126, e2021JD034604. https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2021JD034604

(16) Yuan, S., L. Zhu, and S. M. Quiring, 2021: Comparison of two multisatellite algorithms for estimation of tropical cyclone precipitation in the United States and Mexico: TMPA and IMERG. Journal of Hydrometeorology, 22, 923-939. https://journals.ametsoc.org/view/journals/hydr/22/4/JHM-D-19-0296.1.xml

(15) Feldmann, M., K. Emanuel, L. Zhu, and U. Lohmann, 2019: Estimation of Atlantic tropical cyclone rainfall frequency in the United States. Journal of Applied Meteorology and Climatology, 58, 1853-1866. https://journals.ametsoc.org/view/journals/apme/58/8/jamc-d-19-0011.1.xml

(14) Filbin, R. J. †, L. Zhu, L. DeChano-Cook, and L. and Meng, 2019: Implications of Dam Removal: Modeling Streamflow in Lansing, Michigan Using the Soil and Water Assessment Tool. International Journal of Geospatial and Environmental Research, 6. https://dc.uwm.edu/ijger/vol6/iss1/1/

(13) Lei, C. †, and L. Zhu, 2018: Spatio-temporal variability of land use/land cover change (LULCC) within the Huron River: Effects on stream flows. Climate Risk Management, 19, 35-47. https://www.sciencedirect.com/science/article/pii/S2212096317300086

(12) Reilly, A. C., S. D. Guikema, L. Zhu, and T. Igusa, 2017: Evolution of vulnerability of communities facing repeated hazards. PloS one, 12, e0182719. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0182719

(11) Zhu, L.*, and S. M. Quiring, 2017: An extraction method for long-term tropical cyclone precipitation from daily rain gauges. Journal of Hydrometeorology, 18, 2559-2576. https://journals.ametsoc.org/view/journals/hydr/18/9/jhm-d-16-0291_1.xml

(10) Wang, R. †, L. Zhu, H. Yu, S. Cui, and J. a. Wang, 2016: Automatic Type Recognition and Mapping of Global Tropical Cyclone Disaster Chains (TDC). Sustainability, 8, 1066. https://www.mdpi.com/2071-1050/8/10/1066

(9) Zhu, L.*, S. M. Quiring, I. Guneralp, and W. G. Peacock, 2015: Variations in tropical cyclone-related discharge in four watersheds near Houston, Texas. Climate Risk Management, 7, 1-10. https://www.sciencedirect.com/science/article/pii/S2212096315000030

(8) Zhu, L.*, S. M. Quiring, and K. A. Emanuel, 2013: Estimating tropical cyclone precipitation risk in Texas. Geophysical Research Letters, 40, 6225-6230. https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2013GL058284

(7) Zhu, L.*, O. W. Frauenfeld, and S. M. Quiring, 2013a: Seasonal tropical cyclone precipitation in Texas: A statistical modeling approach based on a 60 year climatology. Journal of Geophysical Research: Atmospheres, 118, 8842-8856. https://agupubs.onlinelibrary.wiley.com/doi/10.1002/jgrd.50663

(6) Zhu, L.*, and S. M. Quiring, 2013: Variations in tropical cyclone precipitation in Texas (1950 to 2009). Journal of Geophysical Research: Atmospheres, 118, 3085-3096. https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2012JD018554

(5) Quiring, S., A. Schumacher, C. Labosier, and L. Zhu, 2011: Variations in mean annual tropical cyclone size in the Atlantic. Journal of Geophysical Research: Atmospheres, 116. https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2010JD015011

(4) Quiring, S. M., L. Zhu, and S. D. Guikema, 2011: Importance of soil and elevation characteristics for modeling hurricane-induced power outages. Natural hazards, 58, 365-390. https://link.springer.com/article/10.1007/s11069-010-9672-9

(3) Gu, W., L. Zhu, and Coauthors, 2011: The research of sea-land breeze (SLB) on the west coast of Bohai Bay based on field observation. Sciences in Cold and Arid Regions, 3(3): 264-273. https://www.oalib.com/paper/1608159

(2) Zhu, L.*, Y. Xu, W. Cui, W. Gu, and S. Huang, 2009: The observation research of temperature impacted by the sea land breeze in the coastal area of Western Bohai bay. Scientia Meteorologica Sinica, 29: 694-699. In Chinese. http://www.jms1980.com/qxkx/article/abstract/20090423

(1)   Wang, J., P. Shi, X. Yi, H. Jia, and L. Zhu, 2008: The regionalization of urban natural disasters in China. Natural Hazards, 44, 169-179. https://link.springer.com/article/10.1007/s11069-006-9102-1