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 AG. 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 BV. 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 BV. doi: 10.1016/j.heliyon.2019.e02803.

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 GmbH. 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. SCIENCE OF THE TOTAL ENVIRONMENT, 637, 1262-1278.Elsevier BV. doi: 10.1016/j.scitotenv.2018.05.014.

Xiangdong, C., Liang, X., Jun, X., & Dunxian, S. (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 BV. doi: 10.1016/S1002-0160(17)60371-0.

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 BV. doi: 10.1016/j.jhydrol.2018.01.048.

Koster, R.D., Betts, A.K., Dirmeyer, P.A., Bierkens, M., Bennett, K.E., Dery, 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. HYDROLOGY AND EARTH SYSTEM SCIENCES, 21(7), 3777-3798.Copernicus GmbH. 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 BV. 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. SCIENCE OF THE TOTAL ENVIRONMENT, 576, 572-585.Elsevier BV. 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, 17(3), 636.MDPI AG. 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 GmbH. 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 AG. 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 GmbH. 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. 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, 12(1), 954-971.MDPI AG. 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 Science and Business Media LLC. 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 Science and Business Media LLC. 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 Pub Co Pte Lt. doi: 10.1142/S1793431111001170.

YANG, F., ZHOU, X., LIU, X., CAO, S., & HUANG, E.R. (2011). EXPERIMENTAL STUDY OF BREACH GROWTH PROCESSES IN SAND DAMS OF QUAKE LAKES. Journal of Earthquake and Tsunami, 05(05), 445-459.World Scientific Pub Co Pte Lt. 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 BV. 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 BV. 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 BV. 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 BV. 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 BV. 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.

Liang, X. (2005). Land Surface Modeling. John Wiley & Sons, Inc. doi: 10.1002/047147844x.sw1607.

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

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 BV. doi: 10.1016/j.jhydrol.2003.07.007.

Parada, L.M. (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.Informa UK Limited. 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.Informa UK Limited. 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: Atmospheres, 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. (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., & 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 BV. 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 BV. 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: 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: Atmospheres, 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: Atmospheres, 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.Informa UK Limited. 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 Science and Business Media LLC. 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 BV. 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: Atmospheres, 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: Atmospheres, 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 BV. 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: Atmospheres, 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 BV. 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 Science and Business Media LLC. 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:. Global and Planetary Change, 19(1-4), 137-159.Elsevier BV. 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:. Global and Planetary Change, 19(1-4), 161-179.Elsevier BV. 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:. Global and Planetary Change, 19(1-4), 115-135.Elsevier BV. 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.

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Research interests

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