Xu, Xiaoyong

Ph.D. | Assistant Professor (part-time) | Earth Science & Physics | Hydrology and Climate Physics

Contact Information

Phone: 
905 828 3973
Fax: 
905 828 5425
Room: 
DV4006
Mailing Address: 
3359 Mississauga Road
City: 
Mississauga
Province: 
ON
Postal Code: 
L5L 1C6
x.xu

Research Areas:

Watershed hydrology, Remote sensing, Data assimilation, Land-atmosphere coupling

Research Profile:

Changes in the spatial and temporal characteristics of hydrological conditions (precipitation, surface water, soil moisture, groundwater, snow/ice, etc.) play a significant role in driving the impacts of climate change on human settlements and infrastructure. In particular, extreme hydro-climatological events (e.g. flood and drought) could cause severely adverse socio-economic impacts.  Our research aims to make high quality scientific contributions towards a better understanding of spatiotemporal changes in hydro-climatological conditions and interactions of atmospheric, terrestrial and hydrological processes. The research themes mainly involve integration of remotely sensed hydrologic products with hydrological/hydrogeological modeling, ensemble methods for quantifying the uncertainties pertaining to water resources modeling and prediction, and development of theoretical framework and modeling system that integrate different processes and disciplines across the earth’s climate system for quantifying the water cycle-climate-human interactions.  The outcomes will improve our skill to monitor and forecast water resources variability and extreme hydro-climatological events, in support of water resources management and water security.

Courses Taught:

GGR335H5

Publications

Xu, X., B. A. Tolson, J. Li, and B. Davison (2017), Comparison of X-band and L-band soil moisture retrievals for land data assimilation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(9), 3850-3860, doi:  10.1109/JSTARS.2017.2703988.

Xu, X., B. A. Tolson, J. Li, and B. Davison (2017), Assimilation of synthetic remotely-sensed soil moisture in Environment Canada's MESH model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(4), 1317-1327, doi: 10.1109/JSTARS.2016.2626256.

Gaborit, É., Fortin, V., Xu, X., Seglenieks, F., Tolson, B., Fry, L. M., Hunter, T., Anctil, F., and Gronewold, A. D. (2017), A hydrological prediction system based on the SVS land-surface scheme: efficient calibration of GEM-Hydro for streamflow simulation over the Lake Ontario basin, Hydrol. Earth Syst. Sci., 21, 4825-4839.

Xu, X., B. A. Tolson, J. Li, R. M. Staebler, F. Seglenieks, A. Haghnegahdar, and B. Davison (2015), Assimilation of SMOS soil moisture over the Great Lakes basin. Remote Sensing of Environment, 169, 163-175, doi:10.1016/j.rse.2015.08.017.

Xu, X., J. Li, and B. A. Tolson (2014), Progress in integrating remote sensing data and hydrologic modeling. Progress in Physical Geography, 38(4), 464-498, doi: 10.1177/0309133314536583.

Xu, X., A. H. Manson, C. E. Meek, D. M. Riggin, C. Jacobi, and J. R. Drummond (2012), Mesospheric wind diurnal tides within the Canadian Middle Atmosphere Model Data Assimilation System. Journal of Atmospheric and Solar-Terrestrial Physics, 74, 24-43, doi:10.1016/j.jastp.2011.09.003.

Manson, A. H., C. E. Meek, X. Xu, T. Aso, J. R. Drummond, C. M. Hall, W. K. Hocking, M. Tsutsumi, and W. E. Ward (2011), Characteristics of Arctic tides at CANDAC-PEARL (80°N, 86°W) and Svalbard (78°N, 16°E) for 2006-2009: radar observations and comparisons with the model CMAM-DAS. Annales Geophysicae, 29, 1939-1954, doi:10.5194/angeo-29-1939-2011.

Xu, X., A. H. Manson, C. E. Meek, C. Jacobi, C. M. Hall, and J. R. Drummond (2011), Mesospheric wind semidiurnal tides within the Canadian Middle Atmosphere Model Data Assimilation System. Journal of Geophysical Research, 116, D17102, doi:10.1029/2011JD015966.

Xu, X., A. H. Manson, C. E. Meek, C. Jacobi, C. M. Hall, and J. R. Drummond (2011), Verification of the mesospheric winds within the Canadian Middle Atmosphere Model Data Assimilation System using radar measurements. Journal of Geophysical Research, 116, D16108, doi:10.1029/2011JD015589.

Xu, X., A. H. Manson, C. E. Meek, and J. R. Drummond (2011), Quasi-biennial modulation of the wintertime Arctic temperature as revealed by Aura-MLS measurements. Geophysical Research Letters, 38, L08806, doi:10.1029/2011GL047075.