Gao, S., Li, Z., Chen, M., Lin, P., Hong, Z., Allen, D., … & Hong, Y. (2021). Spatiotemporal variability of global river extent and the natural driving factors revealed by decades of Landsat observations, GRACE gravimetry observations, and land surface model simulations. Remote Sensing of Environment, 267, 112725.
Gao, S., Li, Z., Chen, M., Allen, D., Neeson, T., & Hong, Y. (2021). Monitoring Drought through the Lens of Landsat: Drying of Rivers during the California Droughts. Remote Sensing, 13(17), 3423.
Li, Z., Chen, M., Gao, S., Gourley, J. J., Yang, T., Shen, X., Kolar, R., and Hong, Y.: A multi-source 120-year US flood database with a unified common format and public access, Earth Syst. Sci. Data, 13, 3755–3766, https://doi.org/10.5194/essd-13-3755-2021, 2021.
Li, Z., Chen, M., Gao, S., Luo, X., Gourley, J. J., Kirstetter, P., … & Hong, Y. (2021). CREST-iMAP v1. 0: A fully coupled hydrologic-hydraulic modeling framework dedicated to flood inundation mapping and prediction. Environmental Modelling & Software, 141, 105051.
Li, Z., Tang, G., Hong, Z., Chen, M., Gao, S., Kirstetter, P., … & Hong, Y. (2021). Two-decades of GPM IMERG early and final run products intercomparison: Similarity and difference in climatology, rates, and extremes. Journal of Hydrology, 594, 125975.
Chen, M., Li, Z., Gao, S., Luo, X., Wing, O. E., Shen, X., … & Hong, Y. (2021). A comprehensive flood inundation mapping for Hurricane Harvey using an integrated hydrological and hydraulic model. Journal of Hydrometeorology, 22(7), 1713-1726.
Li, Z., Wen, Y., Schreier, M., Behrangi, A., Hong, Y., & Lambrigtsen, B. (2020). Advancing satellite precipitation retrievals with data driven approaches: is black box model explainable?. Earth and Space Science, 7, e2020EA001423. https://doi.org/10.1029/2020EA001423
Li, Z.; Chen, M.; Gao, S.; Hong, Z.; Tang, G.; Wen, Y.; Gourley, J.J.; Hong, Y. Cross-Examination of Similarity, Difference and Deficiency of Gauge, Radar and Satellite Precipitation Measuring Uncertainties for Extreme Events Using Conventional Metrics and Multiplicative Triple Collocation. Remote Sens. 2020, 12, 1258. LINK
Yami, T. L., Gao, S., Chen, M., Li, Z., Vergara, H., Clark, R. R., … & Hong, Y. (2021). CREST/EF5 capacity building to enhance resilience to hydrodynamic disasters in emerging regions. African Journal of Environmental Science and Technology, 15(6), 230-242.
Sui, X.; Li, Z.; Ma, Z.; Xu, J.; Zhu, S.; Liu, H. Ground Validation and Error Sources Identification for GPM IMERG Product over the Southeast Coastal Regions of China. Remote Sens. 2020, 12, 4154.
Cai, S., Zhou, S., Wu, P., Li, Z., Deng, S., 2019. BIBLIOMETRIC ANALYSIS OF RESEARCH ON FISH METAL FROM 1997 TO 2016, FRESENIUS ENVIRONMENTAL BULLETIN
Li, Zhi, Gao, S., Tang G., Kirstetter, P., Liu, J., Wen, Y., Hong, Y., Ground Validation of GPM IMERG and its Constellations in Extreme Events over the Conterminous United States, Journal of Hydrology, in revision.
Li, Zhi, Chen, M., Gao, S., Gourley, J.J., Yang, T., Kolar, R., Hong, Y , Can re-infiltration be ignored in extreme events? Environmental Modeling & Software, under review.
Li, Zhi, Gao, S., Chen, M., Gourley, J., Liu, C., Prein, A., Hong, Y , Flashier floods under a warmer climate in the conterminous US. Nature Communications Earth & Environment, in revision.
Li, Zhi, Wen, Y., Liao, L., Wolf, D., Systematic evaluation of GPM DPR and WSR-88D over the contiguous United States, In preparation.
Chen, M., Li, Z., Gao, S., 2020. Multi-sensors remote-sensing and multi-dimensional modeling of extreme flood events: a case study of Hurricane Harvey triggered floods at Houston, TX, Books, AGU. (In press).
Li, Z., Tang, G., Hong, Z., Chen, M., Gao, S., Pierre-Emmanuel Kirstetter, . . . Yang, H. (2020). Two-decades of GPM IMERG early and final run products intercomparison: Similarity and difference in climatology, rates, extremes and hydrologic utilities. Washington: American Geophysical Union. doi:http://dx.doi.org/10.1002/essoar.10504885.1 (oral presentation)