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Jida Wang

Associate Professor

Biography

Dr. Jida Wang is a broadly-trained physical geographer and hydrologist. His work focuses on surface water abundance and dynamics, particularly in lakes, reservoirs, and wetlands. He studies how these water stores function as sentinels, regulators, and integrators of climate change, and how lakes of different types interact with the river systems, the cryosphere, the carbon cycle, and human water managements. He conducts such studies through applications and innovations of integrated methods, which combine multi-sensor satellite remote sensing, in situ measurements, hydrological modeling, and AI/ML.

Research Interests

Dr. Jida Wang is a broadly-trained physical geographer and hydrologist. His work focuses on surface water abundance and dynamics, particularly in lakes, reservoirs, and wetlands. He studies how these water stores function as sentinels, regulators, and integrators of climate change, and how lakes of different types interact with the river systems, the cryosphere, the carbon cycle, and human water managements. He conducts such studies through applications and innovations of integrated methods, which combine multi-sensor satellite remote sensing, in situ measurements, hydrological modeling, and AI/ML.

Education

Ph.D., Geography, 2013, University of California Los Angeles (UCLA)

M.S., Environmental Resources Engineering, 2008, State University of New York - College of Environmental Science and Forestry (SUNY-ESF)

Additional Campus Affiliations

Associate Professor, Geography and Geographic Information Science

Recent Publications

Ding, M., Wang, J., Song, C., Sheng, Y., Shawn Hutchinson, J. M., Langston, A. L., & Marston, L. (2024). A framework of freshwater and saline lake typology classification through leveraging hydroclimate, spectral, and literature evidence. Journal of Hydrology, 632, Article 130704. https://doi.org/10.1016/j.jhydrol.2024.130704

Fan, C., Song, C., Wang, J., Sheng, Y., Lin, Y., Yuan, C., Safat Sikder, M., Crétaux, J. F., Liu, K., Chen, T., Zeng, F., & Ke, L. (2024). Emerging global reservoirs in the new millennium: Abundance, hotspots, and total water storage. Science Bulletin, 69(14), 2179-2182. https://doi.org/10.1016/j.scib.2024.04.043

Frieler, K., Volkholz, J., Lange, S., Schewe, J., Mengel, M., Del Rocío Rivas López, M., Otto, C., Reyer, C. P. O., Karger, D. N., Malle, J. T., Treu, S., Menz, C., Blanchard, J. L., Harrison, C. S., Petrik, C. M., Eddy, T. D., Ortega-Cisneros, K., Novaglio, C., Rousseau, Y., ... Bechtold, M. (2024). Scenario setup and forcing data for impact model evaluation and impact attribution within the third round of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP3a). Geoscientific Model Development, 17(1), 1-51. https://doi.org/10.5194/gmd-17-1-2024

Liu, K., Song, C., Zhao, S., Wang, J., Chen, T., Zhan, P., Fan, C., & Zhu, J. (2024). Mapping inundated bathymetry for estimating lake water storage changes from SRTM DEM: A global investigation. Remote Sensing of Environment, 301, Article 113960. https://doi.org/10.1016/j.rse.2023.113960

Wang, W., Nie, Y., Zhang, H., Wang, J., Deng, Q., Liu, L., Liu, F., Zhang, S., Lyu, Q., & Zhang, L. (2024). A generic framework for glacial lake outburst flood investigation: A case study of Zalai Tsho, Southeast Tibet. Catena, 234, Article 107614. https://doi.org/10.1016/j.catena.2023.107614

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