overview

Prof. Liang’s primary research interests are: (1) to discover and reveal fundamental laws that govern water, energy, carbon, and nitrogen cycles of the ecosystem; (2) to investigate how the interactions of these cycles affect the health of our environment and ecological systems at different scales; and (3) to research on how they influence the transport of nutrients and pollutants, human health, food security, and water resources management.

about

(2016) Fellow, American Meteorological Society (AMS).

(2016) Chancellor's Distinguished Research Award (senior category), University of Pittsburgh, Pittsburgh, PA.

(2014) Carnegie Science Environmental Award.

(2014 - 2019) William Kepler Whiteford Professor, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA.

(2003) Award certificate for "the creative development of technically significant software" entitled "MODIS Atmosphere Level-3 Algorithm Software - Level 3 Atmosphere Monthly, CMG", NASA.

(2000) Hellman Foundation Junior Faculty Research Award for Excellence in Research, University of California at Berkeley, 2000. This award is to "support substantially the research of promising assistant professors who show capacity for great distinction in their research" (http://vpf.berkeley.edu/hellman-fellows-fund).

Postdoctoral Research Associate, Princeton University

PhD (1994), Hydrology and Water Resources, University of Washington

Villalba, G.A., Liang, X., & Liang, Y. (2021). Selection of Multiple Donor Gauges via Graphical Lasso for Estimation of Daily Streamflow Time Series. WATER RESOURCES RESEARCH, 57(5).American Geophysical Union (AGU). doi: 10.1029/2020WR028936.

Li, Y., Hamed, E.A., Zhang, X., Luna, D., Lin, J.S., Liang, X., & Lee, I. (2020). Feasibility of Harvesting Solar Energy for Self-Powered Environmental Wireless Sensor Nodes. ELECTRONICS, 9(12), 2058.MDPI. doi: 10.3390/electronics9122058.

Salas, D., Liang, X., Navarro, M., Liang, Y., & Luna, D. (2020). An open-data open-model framework for hydrological models integration, evaluation and application. ENVIRONMENTAL MODELLING & SOFTWARE, 126, 104622.Elsevier. doi: 10.1016/j.envsoft.2020.104622.

Sun, R., Hernandez, F., Liang, X., & Yuan, H. (2020). A Calibration Framework for High-Resolution Hydrological Models Using a Multiresolution and Heterogeneous Strategy. WATER RESOURCES RESEARCH, 56(8).American Geophysical Union (AGU). doi: 10.1029/2019WR026541.

Xu, Y., Plaza, F.J., Liang, X., Davis, T.W., Nichols, J., Fu, J.K., & Koranchie-Boah, P. (2020). A hydro-thermal-geochemical modeling framework to simulate reactive transport in a waste coal area under amended and non-amended conditions. Heliyon, 6(1), e02803.Elsevier. doi: 10.1016/j.heliyon.2019.e02803.

Chen, X., Liang, X., Xia, J., & She, D. (2018). Impact of Lower Boundary Condition of Richards' Equation on Water, Energy, and Soil Carbon Based on Coupling Land Surface and Biogeochemical Models. PEDOSPHERE, 28(3), 497-510.Elsevier. doi: 10.1016/S1002-0160(17)60371-0.

Hernandez, F., & Liang, X. (2018). Hybridizing Bayesian and variational data assimilation for high-resolution hydrologic forecasting. HYDROLOGY AND EARTH SYSTEM SCIENCES, 22(11), 5759-5779.Copernicus Publications. doi: 10.5194/hess-22-5759-2018.

Plaza, F., Wen, Y., & Liang, X. (2018). Acid rock drainage passive remediation using alkaline clay: Hydro-geochemical study and impacts of vegetation and sand on remediation. Sci Total Environ, 637-638, 1262-1278.Elsevier. doi: 10.1016/j.scitotenv.2018.05.014.

Zhang, L., Nan, Z., Liang, X., Xu, Y., Hernandez, F., & Li, L. (2018). Application of the MacCormack scheme to overland flow routing for high-spatial resolution distributed hydrological model. JOURNAL OF HYDROLOGY, 558, 421-431.Elsevier. doi: 10.1016/j.jhydrol.2018.01.048.

Koster, R.D., Betts, A.K., Dirmeyer, P.A., Bierkens, M., Bennett, K.E., Déry, S.J., Evans, J.P., Fu, R., Hernandez, F., Leung, L.R., Liang, X., Masood, M., Savenije, H., Wang, G., & Yuan, X. (2017). Hydroclimatic Variability and Predictability: A Survey of Recent Research. Hydrol Earth Syst Sci, 21(7), 3777-3798.Copernicus Publications. doi: 10.5194/hess-21-3777-2017.

Peng, B., Zhao, T., Shi, J., Lu, H., Mialon, A., Kerr, Y.H., Liang, X., & Guan, K. (2017). Reappraisal of the roughness effect parameterization schemes for L-band radiometry over bare soil. REMOTE SENSING OF ENVIRONMENT, 199, 63-77.Elsevier. doi: 10.1016/j.rse.2017.07.006.

Plaza, F., Wen, Y., Perone, H., Xu, Y., & Liang, X. (2017). Acid rock drainage passive remediation: Potential use of alkaline clay, optimal mixing ratio and long-term impacts. Sci Total Environ, 576, 572-585.Elsevier. doi: 10.1016/j.scitotenv.2016.10.076.

Villalba, G., Plaza, F., Zhong, X., Davis, T.W., Navarro, M., Li, Y., Slater, T.A., Liang, Y., & Liang, X. (2017). A Networked Sensor System for the Analysis of Plot-Scale Hydrology. Sensors (Basel), 17(3), 636.MDPI. doi: 10.3390/s17030636.

Luo, X., Liang, X., & Lin, J.S. (2016). Plant transpiration and groundwater dynamics in water-limited climates: Impacts of hydraulic redistribution. WATER RESOURCES RESEARCH, 52(6), 4416-4437.American Geophysical Union (AGU). doi: 10.1002/2015WR017316.

Prentice, I.C., Liang, X., Medlyn, B.E., & Wang, Y.P. (2015). Reliable, robust and realistic: the three R's of next-generation land-surface modelling. ATMOSPHERIC CHEMISTRY AND PHYSICS, 15(10), 5987-6005.Copernicus Publications. doi: 10.5194/acp-15-5987-2015.

Lin, Q. (2014). Suicide by hydrogen sulfide: how can emergency services respond?. University of Pittsburgh.

Navarro, M., Davis, T., Villalba, G., Li, Y., Zhong, X., Erratt, N., Liang, X., & Liang, Y. (2014). Towards Long-Term Multi-Hop WSN Deployments for Environmental Monitoring: An Experimental Network Evaluation. Journal of Sensor and Actuator Networks, 3(4), 297-330.MDPI. doi: 10.3390/jsan3040297.

Prentice, I.C., Liang, X., Medlyn, B.E., & Wang, Y.P. (2014). Reliable, robust and realistic: the three R's of next-generation land surface modelling. Atmospheric Chemistry and Physics Discussions, 14(17), 24811-24861.Copernicus Publications. doi: 10.5194/acpd-14-24811-2014.

Wang, S., & Liang, X. (2014). A parameter estimation framework for Multiscale Kalman Smoother algorithm in precipitation data fusion. WATER RESOURCES RESEARCH, 50(11), 8675-8693.American Geophysical Union (AGU). doi: 10.1002/2013WR014942.

Allison, M.A. (2013). Occupational hazards in onshore upstream unconventional natural gas extraction. University of Pittsburgh.

Luo, X., Liang, X., & McCarthy, H.R. (2013). VIC plus for water-limited conditions: A study of biological and hydrological processes and their interactions in soil-plant-atmosphere continuum. WATER RESOURCES RESEARCH, 49(11), 7711-7732.American Geophysical Union (AGU). doi: 10.1002/2012WR012851.

Salas, D.E., & Liang, X. (2013). An Introduction to Multi-scale Kalman Smoother-Based Framework and Its Application to Data Assimilation. In Land Surface Observation, Modeling and Data Assimilation. (pp. 275-334).World Scientific Publishing. doi: 10.1142/9789814472616_0010.

Davis, T.W., Kuo, C.M., Liang, X., & Yu, P.S. (2012). Sap flow sensors: construction, quality control and comparison. Sensors (Basel), 12(1), 954-971.MDPI. doi: 10.3390/s120100954.

Davis, T.W., Liang, X., Kuo, C.M., & Liang, Y. (2012). Analysis of Power Characteristics for Sap Flow, Soil Moisture, and Soil Water Potential Sensors in Wireless Sensor Networking Systems. IEEE SENSORS JOURNAL, 12(6), 1933-1945.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/JSEN.2011.2179933.

Davis, T.W., Liang, X., Navarro, M., Bhatnagar, D., & Liang, Y. (2012). An Experimental Study of WSN Power Efficiency: MICAz Networks with XMesh. INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 8(2), 358238.SAGE Publications. doi: 10.1155/2012/358238.

Liang, X., Salas, D., & Liang, Y. (2012). A systematic approach for hydrological model couplings. Int. J. Communications, Network and System Sciences, 5, 343-352.

Wen, Z., Liang, X., & Yang, S. (2012). A new multiscale routing framework and its evaluation for land surface modeling applications. WATER RESOURCES RESEARCH, 48(8).American Geophysical Union (AGU). doi: 10.1029/2011WR011337.

Ferguson, I.M., Duffy, P.B., Phillips, T.J., Liang, X., Dracup, J.A., Schubert, S., & Pegion, P. (2011). Non-stationarity of the signal and noise characteristics of seasonal precipitation anomalies. CLIMATE DYNAMICS, 36(3-4), 739-752.Springer Nature. doi: 10.1007/s00382-010-0850-y.

Leung, L.R., Huang, M., Qian, Y., & Liang, X. (2011). Climate-soil-vegetation control on groundwater table dynamics and its feedbacks in a climate model. CLIMATE DYNAMICS, 36(1-2), 57-81.Springer Nature. doi: 10.1007/s00382-010-0746-x.

Wang, S., Liang, X., & Nan, Z. (2011). How much improvement can precipitation data fusion achieve with a Multiscale Kalman Smoother-based framework?. WATER RESOURCES RESEARCH, 47(3).American Geophysical Union (AGU). doi: 10.1029/2010WR009953.

Xu, W., Niu, Z., & Liang, X. (2011). EXPERIMENTAL INVESTIGATION OF THE SCOURING OF QUAKE DAMS DURING DAM-BREAK. JOURNAL OF EARTHQUAKE AND TSUNAMI, 5(5), 429-444.World Scientific Publishing. doi: 10.1142/S1793431111001170.

YANG, F., ZHOU, X., LIU, X., CAO, S., & HUANG, E. (2011). EXPERIMENTAL STUDY OF BREACH GROWTH PROCESSES IN SAND DAMS OF QUAKE LAKES. Journal of Earthquake and Tsunami, 5(05), 445-459.World Scientific Publishing. doi: 10.1142/s1793431111001182.

Nan, Z., Wang, S., Liang, X., Adams, T.E., Teng, W., & Liang, Y. (2010). Analysis of Spatial Similarities Between NEXRAD and NLDAS Precipitation Data Products. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 3(3), 371-385.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/JSTARS.2010.2048418.

Parada, L.M., & Liang, X. (2010). A novel approach to infer streamflow signals for ungauged basins. ADVANCES IN WATER RESOURCES, 33(4), 372-386.Elsevier. doi: 10.1016/j.advwatres.2010.01.003.

Ravindran, N., Liang, Y., & Liang, X. (2010). A labeled-tree approach to semantic and structural data interoperability applied in hydrology domain. INFORMATION SCIENCES, 180(24), 5008-5028.Elsevier. doi: 10.1016/j.ins.2010.06.015.

Huang, M., Liang, X., & Leung, L.R. (2008). A Generalized Subsurface Flow Parameterization Considering Subgrid Spatial Variability of Recharge and Topography. JOURNAL OF HYDROMETEOROLOGY, 9(6), 1151-1171.American Meteorological Society. doi: 10.1175/2008JHM936.1.

Liang, X., Huang, M., & Leung, L.R. (2008). A generalized subsurface flow parameterization considering subgrid spatial variability of recharge and topography. J. Hydrometeorology, 9, 1151-1171. doi: 10.1175/2008JHM936.

Parada, L.M., & Liang, X. (2008). Impacts of spatial resolutions and data quality on soil moisture data assimilation. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 113(D10).American Geophysical Union (AGU). doi: 10.1029/2007JD009037.

Duan, Q., Schaake, J., Andréassian, V., Franks, S., Goteti, G., Gupta, H.V., Gusev, Y.M., Habets, F., Hall, A., Hay, L., Hogue, T., Huang, M., Leavesley, G., Liang, X., Nasonova, O.N., Noilhan, J., Oudin, L., Sorooshian, S., Wagener, T., & Wood, E.F. (2006). Model Parameter Estimation Experiment (MOPEX): An overview of science strategy and major results from the second and third workshops. Journal of Hydrology, 320(1-2), 3-17.Elsevier. doi: 10.1016/j.jhydrol.2005.07.031.

Huang, M., & Liang, X. (2006). On the assessment of the impact of reducing parameters and identification of parameter uncertainties for a hydrologic model with applications to ungauged basins. Journal of Hydrology, 320(1-2), 37-61.Elsevier. doi: 10.1016/j.jhydrol.2005.07.010.

Jeong, S., Liang, Y., & Liang, X. (2006). Design of an integrated data retrieval, analysis, and visualization system: Application in the hydrology domain. Environmental Modelling & Software, 21(12), 1722-1740.Elsevier. doi: 10.1016/j.envsoft.2005.09.007.

Liang, Y., & Liang, X. (2006). Improving signal prediction performance of neural networks through multiresolution learning approach. IEEE Trans Syst Man Cybern B Cybern, 36(2), 341-352.Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/tsmcb.2005.857092.

Guo, J., Liang, X., & Leung, L.R. (2004). A new multiscale flow network generation scheme for land surface models. Geophysical Research Letters, 31(23), 1-4.American Geophysical Union (AGU). doi: 10.1029/2004gl021381.

Guo, J., Liang, X., & Leung, L.R. (2004). Impacts of different precipitation data sources on water budgets. Journal of Hydrology, 298(1-4), 311-334.Elsevier. doi: 10.1016/j.jhydrol.2003.08.020.

Liang, X. (2004). Land Surface Modeling. In Water Encyclopedia. (pp. 533-538).Wiley. doi: 10.1002/047147844x.sw1607.

Liang, X., Guo, J., & Leung, L.R. (2004). Assessment of the effects of spatial resolutions on daily water flux simulations. Journal of Hydrology, 298(1-4), 287-310.Elsevier. doi: 10.1016/j.jhydrol.2003.07.007.

Parada, L.M., & Liang, X. (2004). Optimal multiscale Kalman filter for assimilation of near‐surface soil moisture into land surface models. Journal of Geophysical Research, 109(D24), 1-21.American Geophysical Union (AGU). doi: 10.1029/2004jd004745.

Yuan, F., Xie, Z., Liu, Q., Yang, H., Su, F., Liang, X., & Ren, L. (2004). An application of the VIC-3L land surface model and remote sensing data in simulating streamflow for the Hanjiang River basin. Canadian Journal of Remote Sensing, 30(5), 680-690.Taylor & Francis. doi: 10.5589/m04-032.

Zhou, S., Liang, X., Chen, J., & Gong, P. (2004). An assessment of the VIC-3L hydrological model for the Yangtze River basin based on remote sensing: a case study of the Baohe River basin. Canadian Journal of Remote Sensing, 30(5), 840-853.Taylor & Francis. doi: 10.5589/m04-031.

Huang, M., Liang, X., & Liang, Y. (2003). A transferability study of model parameters for the variable infiltration capacity land surface scheme. Journal of Geophysical Research, 108(D22), 8864.American Geophysical Union (AGU). doi: 10.1029/2003jd003676.

Huang, M., Liang, X., & Liang, Y. (2003). A transferability study of model parameters for the variable infiltration capacity land surface scheme. Journal of Geophysical Research: Atmospheres, 108(22). doi: 10.1029/2003jd003676.

Liang, X., & Guo, J. (2003). Intercomparison of land-surface parameterization schemes: sensitivity of surface energy and water fluxes to model parameters. Journal of Hydrology, 279(1-4), 182-209.Elsevier. doi: 10.1016/s0022-1694(03)00168-9.

Liang, X., & Xie, Z. (2003). Important factors in land–atmosphere interactions: surface runoff generations and interactions between surface and groundwater. Global and Planetary Change, 38(1-2), 101-114.Elsevier. doi: 10.1016/s0921-8181(03)00012-2.

Liang, X., Sivapalan, M., Takeuchi, K., Franks, S.W., Gupta, V.K., Karambiri, H., Lakshmi, V., McDonnell, J.J., Mendiondo, E.M., O'Connell, P.E., Oki, T., Pomeroy, J.W., Schertzer, D., Uhlenbrook, S., & Zehe, E. (2003). IAHS decade on Predictions in Ungauged Basins (PUB). Hydrological Sciences Journal, 48(6), 857-880.

Liang, X., Xie, Z., & Huang, M. (2003). A new parameterization for surface and groundwater interactions and its impact on water budgets with the variable infiltration capacity (VIC) land surface model. Journal of Geophysical Research, 108(D16), 8613.American Geophysical Union (AGU). doi: 10.1029/2002jd003090.

Liang, X., Xie, Z., & Huang, M. (2003). A new parameterization for surface and groundwater interactions and its impact on water budgets with the variable infiltration capacity (VIC) land surface model. Journal of Geophysical Research: Atmospheres, 108(16). doi: 10.1029/2002jd003090.

Parada, L.M., & Liang, X. (2003). A downscaling framework for L band radiobrightness temperature imagery. Journal of Geophysical Research, 108(D22), 8863.American Geophysical Union (AGU). doi: 10.1029/2003jd003637.

Parada, L.M., & Liang, X. (2003). A stochastic modeling approach for characterizing the spatial structure of L band radiobrightness temperature imagery. Journal of Geophysical Research, 108(D22), 8862.American Geophysical Union (AGU). doi: 10.1029/2003jd003567.

Parada, L.M., & Liang, X. (2003). A downscaling framework for L band radiobrightness temperature imagery. Journal of Geophysical Research: Atmospheres, 108(22). doi: 10.1029/2003jd003637.

Parada, L.M., & Liang, X. (2003). A stochastic modeling approach for characterizing the spatial structure of L band radiobrightness temperature imagery. Journal of Geophysical Research: Atmospheres, 108(22). doi: 10.1029/2003jd003567.

SIVAPALAN, M., TAKEUCHI, K., FRANKS, S.W., GUPTA, V.K., KARAMBIRI, H., LAKSHMI, V., LIANG, X., McDONNELL, J.J., MENDIONDO, E.M., O'CONNELL, P.E., OKI, T., POMEROY, J.W., SCHERTZER, D., UHLENBROOK, S., & ZEHE, E. (2003). IAHS Decade on Predictions in Ungauged Basins (PUB), 2003–2012: Shaping an exciting future for the hydrological sciences. Hydrological Sciences Journal, 48(6), 857-880.Taylor & Francis. doi: 10.1623/hysj.48.6.857.51421.

Zhenghui, X., Fengge, S., Xu, L., Qingcun, Z., Zhenchun, H., & Yufu, G. (2003). Applications of a surface runoff model with horton and dunne runoff for VIC. Advances in Atmospheric Sciences, 20(2), 165-172.Springer Nature. doi: 10.1007/s00376-003-0001-z.

Liang, X. (2002). Evaluation of the effects of surface water and groundwater interactions on regional climate and local water resources. Report - University of California Water Resources Center, (102), 29-30.

Liang, X., & Liang, Y. (2001). Applications of data mining in hydrology. Proceedings - IEEE International Conference on Data Mining, ICDM, 617-620.

Liang, X., & Xie, Z. (2001). A new surface runoff parameterization with subgrid-scale soil heterogeneity for land surface models. Advances in Water Resources, 24(9-10), 1173-1193.Elsevier. doi: 10.1016/s0309-1708(01)00032-x.

Liang, X., Wood, E.F., & Lettenmaier, D.P. (2001). Reply [to “Comment on ‘Modeling ground heat flux in land surface parameterization schemes’ by Xu Liang, Eric F. Wood, and Dennis P. Lettenmaier”]. Journal of Geophysical Research, 106(D16), 17893-17896.American Geophysical Union (AGU). doi: 10.1029/2001jd900104.

Lohmann, D. (2001). Comment on “Modeling ground heat flux in land surface parameterization schemes” by Xu Liang, Eric F. Wood, and Dennis P. Lettenmaier. Journal of Geophysical Research, 106(D16), 17889-17892.American Geophysical Union (AGU). doi: 10.1029/2001jd900105.

Abdulla, F.A., Lettenmaier, D.P., & Liang, X. (1999). Estimation of the ARNO model baseflow parameters using daily streamflow data. Journal of Hydrology, 222(1-4), 37-54.Elsevier. doi: 10.1016/s0022-1694(99)00096-7.

Liang, X., Wood, E.F., & Lettenmaier, D.P. (1999). Modeling ground heat flux in land surface parameterization schemes. Journal of Geophysical Research, 104(D8), 9581-9600.American Geophysical Union (AGU). doi: 10.1029/98jd02307.

Liang, X., Wood, E.F., & Lettenmaier, D.P. (1999). Modeling ground heat flux in land surface parameterization schemes. J. Geophys. Res, 104(D8), 9581-9600.

Lohmann, D., Lettenmaier, D.P., Liang, X., Wood, E.F., Boone, A., Chang, S., Chen, F., Dai, Y., Desborough, C., Dickinson, R.E., Duan, Q., Ek, M., Gusev, Y.M., Habets, F., Irannejad, P., Koster, R., Mitchell, K.E., Nasonova, O.N., Noilhan, J., Schaake, J., Schlosser, A., Shao, Y., Shmakin, A.B., Verseghy, D., Warrach, K., Wetzel, P., Xue, Y., Yang, Z.L., & Zeng, Q.C. (1999). Erratum. Global and Planetary Change, 20(4), 291-295.Elsevier. doi: 10.1016/s0921-8181(98)00064-2.

Pitman, A.J., Henderson-Sellers, A., Desborough, C.E., Yang, Z.L., Abramopoulos, F., Boone, A., Dickinson, R.E., Gedney, N., Koster, R., Kowalczyk, E., Lettenmaier, D., Liang, X., Mahfouf, J.F., Noilhan, J., Polcher, J., Qu, W., Robock, A., Rosenzweig, C., Schlosser, C.A., Shmakin, A.B., Smith, J., Suarez, M., Verseghy, D., Wetzel, P., Wood, E., & Xue, Y. (1999). Key results and implications from phase 1(c) of the Project for Intercomparison of Land-surface Parametrization Schemes. Climate Dynamics, 15(9), 673-684.Springer Nature. doi: 10.1007/s003820050309.

Liang, X., Wood, E.F., Lettenmaier, D.P., Lohmann, D., Boone, A., Chang, S., Chen, F., Dai, Y., Desborough, C., Dickinson, R.E., Duan, Q., Ek, M., Gusev, Y.M., Habets, F., Irannejad, P., Koster, R., Mitchell, K.E., Nasonova, O.N., Noilhan, J., Schaake, J., Schlosser, A., Shao, Y., Shmakin, A.B., Verseghy, D., Warrach, K., Wetzel, P., Xue, Y., Yang, Z.L., & Zeng, Q.C. (1998). The Project for Intercomparison of Land-surface Parameterization Schemes (PILPS) phase 2(c) Red-Arkansas River basin experiment: 2. Spatial and temporal analysis of energy fluxes. Global and Planetary Change, 19(1-4), 137-159.Elsevier. doi: 10.1016/s0921-8181(98)00045-9.

Lohmann, D., Lettenmaier, D.P., Liang, X., Wood, E.F., Boone, A., Chang, S., Chen, F., Dai, Y., Desborough, C., Dickinson, R.E., Duan, Q., Ek, M., Gusev, Y.M., Habets, F., Irannejad, P., Koster, R., Mitchell, K.E., Nasonova, O.N., Noilhan, J., Schaake, J., Schlosser, A., Shao, Y., Shmakin, A.B., Verseghy, D., Warrach, K., Wetzel, P., Xue, Y., Yang, Z.L., & Zeng, Q.C. (1998). The Project for Intercomparison of Land-surface Parameterization Schemes (PILPS) phase 2(c) Red–Arkansas River basin experiment: 3. Spatial and temporal analysis of water fluxes. Global and Planetary Change, 19(1-4), 161-179.Elsevier. doi: 10.1016/s0921-8181(98)00046-0.

Peters-Lidard, C.D., Blackburn, E., Liang, X., & Wood, E.F. (1998). The Effect of Soil Thermal Conductivity Parameterization on Surface Energy Fluxes and Temperatures. Journal of the Atmospheric Sciences, 55(7), 1209-1224.American Meteorological Society. doi: 10.1175/1520-0469(1998)055<1209:teostc>2.0.co;2.

Qu, W.Q., Henderson-Sellers, A., Pitman, A.J., Chen, T.H., Abramopoulos, F., Boone, A., Chang, S., Chen, F., Dai, Y., Dickinson, R.E., Dumenil, L., Ek, M., Gedney, N., Gusev, Y.M., Kim, J., Koster, R., Kowalczyk, E.A., Lean, J., Lettenmaier, D., Liang, X., Mahfouf, J.F., Mengelkamp, H.T., Mitchell, K., Nasonova, O.N., Noilhan, J., Robock, A., Rosenzweig, C., Schaake, J., Schlosser, C.A., Schulz, J.P., Shmakin, A.B., Verseghy, D.L., Wetzel, P., Wood, E.F., Yang, Z.L., & Zeng, Q. (1998). Sensitivity of latent heat flux from PILPS land-surface schemes to perturbations of surface air temperature. JOURNAL OF THE ATMOSPHERIC SCIENCES, 55(11), 1909-1927.American Meteorological Society. doi: 10.1175/1520-0469(1998)055<1909:SOLHFF>2.0.CO;2.

Wood, E.F., Lettenmaier, D.P., Liang, X., Lohmann, D., Boone, A., Chang, S., Chen, F., Dai, Y., Dickinson, R.E., Duan, Q., Ek, M., Gusev, Y.M., Habets, F., Irannejad, P., Koster, R., Mitchel, K.E., Nasonova, O.N., Noilhan, J., Schaake, J., Schlosser, A., Shao, Y., Shmakin, A.B., Verseghy, D., Warrach, K., Wetzel, P., Xue, Y., Yang, Z.L., & Zeng, Q.C. (1998). The Project for Intercomparison of Land-surface Parameterization Schemes (PILPS) Phase 2(c) Red–Arkansas River basin experiment: 1. Experiment description and summary intercomparisons. Global and Planetary Change, 19(1-4), 115-135.Elsevier. doi: 10.1016/s0921-8181(98)00044-7.

Chen, T.H., Henderson-Sellers, A., Milly, P.C.D., Pitman, A.J., Beljaars, A.C.M., Polcher, J., Abramopoulos, F., Boone, A., Chang, S., Chen, F., Dai, Y., Desborough, C.E., Dickinson, R.E., Dumenil, L., Ek, M., Garratt, J.R., Gedney, N., Gusev, Y.M., Kim, J., Koster, R., Kowalczyk, E.A., Laval, K., Lean, J., Lettenmaier, D., Liang, X., Mahfouf, J.F., Mengelkamp, H.T., Mitchell, K., Nasonova, O.N., Noilhan, J., Robock, A., Rosenzweig, C., Schaake, J., Schlosser, C.A., Schulz, J.P., Shao, Y., Shmakin, A.B., Verseghy, D.L., Wetzel, P., Wood, E.F., Xue, Y., Yang, Z.L., & Zeng, Q. (1997). Cabauw experimental results from the project for intercomparison of land-surface parameterization schemes. JOURNAL OF CLIMATE, 10(6), 1194-1215.American Meteorological Society. doi: 10.1175/1520-0442(1997)010<1194:CERFTP>2.0.CO;2.

Nijssen, B., Lettenmaier, D.P., Liang, X., Wetzel, S.W., & Wood, E.F. (1997). Streamflow simulation for continental‐scale river basins. Water Resources Research, 33(4), 711-724.American Geophysical Union (AGU). doi: 10.1029/96wr03517.

Wood, E.F., Lettenmaier, D., Liang, X., Nijssen, B., & Wetzel, S.W. (1997). HYDROLOGICAL MODELING OF CONTINENTAL-SCALE BASINS. Annual Review of Earth and Planetary Sciences, 25(1), 279-300.Annual Reviews. doi: 10.1146/annurev.earth.25.1.279.

Liang, X., Lettenmaier, D.P., & Wood, E.F. (1996). A one-dimensional statistical dynamic representation of subgrid spatial variability of precipitation in the two-layer variable infiltration capacity model. J. Geophys. Res, 101(D16), 403-422.

Liang, X., Lettenmaier, D.P., & Wood, E.F. (1996). One‐dimensional statistical dynamic representation of subgrid spatial variability of precipitation in the two‐layer variable infiltration capacity model. Journal of Geophysical Research, 101(D16), 21403-21422.American Geophysical Union (AGU). doi: 10.1029/96jd01448.

Liang, X., Wood, E.F., & Lettenmaier, D.P. (1996). Surface soil moisture parameterization of the VIC-2L model: Evaluation and modification. Global and Planetary Change, 13(1-4), 195-206.Elsevier. doi: 10.1016/0921-8181(95)00046-1.

Wetzel, P.J., Liang, X., Irannejad, P., Boone, A., Noilhan, J., Shao, Y.P., Skelly, C., Xue, Y.K., & Yang, Z.L. (1996). Modeling vadose zone liquid water fluxes: Infiltration, runoff, drainage, interflow. GLOBAL AND PLANETARY CHANGE, 13(1-4), 57-71.Elsevier. doi: 10.1016/0921-8181(95)00037-2.

Liang, X., Lettenmaier, D.P., Wood, E.F., & Burges, S.J. (1994). A simple hydrologically based model of land surface water and energy fluxes for general circulation models. Journal of Geophysical Research, 99(D7), 14415-14428.American Geophysical Union (AGU). doi: 10.1029/94jd00483.

Li, F., Chen, R., Fu, Y., Song, F., Liang, Y., Ranawaka, I., Pamidighantam, S., Luna, D., & Liang, X. (2021). Accelerating complex modeling workflows in CyberWater using on-demand HPC/Cloud resources. In 2021 IEEE 17th International Conference on eScience (eScience), 00, (pp. 196-205).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/escience51609.2021.00030.

Faruk, O., Zhong, X., Liang, Y., & Liang, X. (2019). Smart Phone Based Mobile Code Dissemination for Heterogeneous Wireless Sensor Networks. In 2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), 00, (pp. 1096-1102).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/uemcon47517.2019.8993104.

Hernández, F., & Liang, X. (2019). Efficient Data Assimilation in High-Dimensional Hydrologic Modeling through Optimal Spatial Clustering. In World Environmental and Water Resources Congress 2019, (pp. 334-347).American Society of Civil Engineers (ASCE). doi: 10.1061/9780784482339.034.

Zhong, X., Liang, Y., Slater, T.A., Plaza, F., & Liang, X. (2018). Network Dynamics Analysis and Benchmarking on an Outdoor Heterogeneous Wireless Sensor Network. In Proceedings of the 15th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, & Ubiquitous Networks, (pp. 92-99).Association for Computing Machinery (ACM). doi: 10.1145/3243046.3243060.

Zhong, X., Navarro, M., Villalba, G., Liang, X., & Liang, Y. (2014). MobileDeluge: Mobile Code Dissemination for Wireless Sensor Networks. In 2014 IEEE 11th International Conference on Mobile Ad Hoc and Sensor Systems, (pp. 363-370).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/mass.2014.60.

Zhong, X., Navarro, M., Villalba, G., Liang, X., & Liang, Y. (2014). Mobiledeluge: A Novel Mobile Code Dissemination Tool for WSNs. In 2014 IEEE 11th International Conference on Mobile Ad Hoc and Sensor Systems, (pp. 537-538).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/mass.2014.57.

Navarro, M., Davis, T.W., Liang, Y., & Liang, X. (2013). A Study of Long-Term WSN Deployment for Environmental Monitoring. In 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), (pp. 2093-2097).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/pimrc.2013.6666489.

Navarro, M., Davis, T.W., Liang, Y., & Liang, X. (2013). Poster abstract: ASWP. In Proceedings of the 12th international conference on Information processing in sensor networks, (pp. 351-352).Association for Computing Machinery (ACM). doi: 10.1145/2461381.2461443.

Sivapalan, M., Wagener, T., Uhlenbrook, S., Zehe, E., Lakshmi, V., Liang, X., Tachikawa, Y., & Kumar, P. (2006). PUB: Promise and Progress: Introduction. In IAHS-AISH Publication, (303), (pp. 1-3).

Uhlenbrook, S., & Liang, X. (2006). Model improvements through detailed process studies. In IAHS-AISH Publication, (303), (pp. 5-6).

Yue, Y., Hao, F., Li, P., Liang, X., & Runkle, B. (2006). Temporal and distribution of groundwater table in Yichang Irrigation region, Inner Mongolia, China. In 5th International Conference on Environmental Informatics, ISEIS 2006.

Smith, M.B., Georgakakos, K.P., & Liang, X. (2004). The distributed model intercomparison project (DMIP). In Journal of Hydrology, 298(1-4), (pp. 1-3).Elsevier. doi: 10.1016/j.jhydrol.2004.05.001.

Zhou, S., Xue, G., Gong, P., & Liang, X. (2004). Numerical simulation study on the coupling of a regional climate model with a hydrological model. In IAHS-AISH Publication, (289), (pp. 227-237).

Research interests

• Data analytics and...
• Hydrological modeling
• Integration of data and model...
• Sensors and wireless sensor...
• Surface hydrology