[1] Yue Qin, Huimin Lei, Dawen Yang*, et al., 2016, Long-term change in the depth of seasonally frozen ground and its ecohydrological impacts in the Qilian Mountains, northeastern Tibetan Plateau, Journal of Hydrology, http://dx.doi.org/10.1016/j.jhydrol.2016.09.008.
[2] Wang Ai, Tang Lihua, Yang Dawen, Lei Huimin, 2016, Spatial-temporal variation of net anthropogenic nitrogen inputs in the upper Yangtze River basin from 1990 to 2012. Science China: Earth Sciences, DOI:http://dx.doi.org/10.1007/s11430-016-0014-6.
[3] ITO, Akihiko et al. Decadal trends in the seasonal-cycle amplitude of terrestrial CO2 exchange resulting from the ensemble of terrestrial biosphere models. Tellus B, [S.l.], v. 68, may. 2016. ISSN 1600-0889.
[4] Wang Siru, Lei Huimin*, Duan Limin, Liu Tingxi, Yang Dawen. (2016). Attribution of the vegetation trends in a typical desertified watershed of northeast China over the past three decades, Ecohydrology, DOI: 10.1002/eco.1748.
[5] Mao, J., Fu, W., Shi, X., Ricciuto, D. M., Fisher, J. B., Dickinson, R. E., Lei, H... & Zhu, Z. (2015). Disentangling climatic and anthropogenic controls on global terrestrial evapotranspiration trends. Environmental Research Letters, 10(9), 094008.
[6] Yanlan Liu, Huimin Lei*, (2015). Responses of Natural Vegetation Dynamics to Climate Drivers in China from 1982 to 2011, Remote Sensing, 7(8), 10243-10268; doi:10.3390/rs70810243.
[7] Mo K., Cong Z., Lei H., 2015, Optimal vegetation cover in the Horqin Sands, China, Ecohydrology, doi: 10.1002/eco.1668.
[8] Xu, K., Yang, D., Xu, X., & Lei, H. (2015). Copula based drought frequency analysis considering the spatio-temporal variability in Southwest China. Journal of Hydrology, 527: 630-640.
[9] Schwalm, C. R., D. N. Huntinzger, J. B. Fisher, A. M. Michalak, K. Bowman, P. Cias, R. Cook, B. El-Masri, D. Hayes, M. Huang, A. Ito, A. Jain, A. W. King, H. Lei, J. Liu, C. Lu, J. Mao, S. Peng, B. Poulter, D. Ricciuto, K. Schaefer, X. Shi, B. Tao, H. Tian, W. Wang, Y. Wei, J. Yang, and N. Zeng (2015), Toward “optimal” integration of terrestrial biosphere models. Geophys. Res. Lett., 42, doi: 10.1002/2015GL064002.
[10] Tian H., and co-authors, (2015), Global Patterns and controls of soil organic carbon dynamics as simulated by multiple terrestrial biosphere models: current status and future directions, Global Biogeochem. Cycles, 29, doi:10.1002/2014GB005021.
[11] Yang D W, Gao B, Jiao Y, Lei H. 2015. A distributed scheme developed for eco-hydrological modeling in the upper Heihe River. Science China: Earth Sciences, doi: 10.1007/s11430-014-5029-7.
[12] Lei, H, Yang, D, Yang, H, Yuan, Z, and Lv, H (2015), Simulated impacts of irrigation on evapotranspiration in a strongly exploited region: a case study of the Haihe River basin, China. Hydrol. Process., 29(12), 2704–2719. doi: 10.1002/hyp.10402.
[13] Qin, Y., Yang, D., Lei, H.,Xu, K., Xu, X., 2014. Comparative analysis of drought based on precipitation and soil moisture indices in Haihe basin of North China during the period of 1960-2010. Journal of Hydrology, doi: http://dx.doi.org/10.1016/j.jhydrol.2014.09.068.
[14] Zscheischler, J., Michalak, A. M., Schwalm, C., Mahecha, M. D., Huntzinger, D. N., Reichstein, M., Berthier, G., Ciais, P., Cook, R. B., EI-Masri, B., Huang, M., Ito, A., Jain, A., King, A., Lei, H. ... & Zeng, N. (2014). Impact of large‐scale climate extremes on biospheric carbon fluxes: An intercomparison based on MsTMIP data. Global Biogeochemical Cycles.
[15] Lei Huimin, Maoyi Huang, L. Ruby Leung, et al., (2014), Sensitivity of global terrestrial gross primary production to hydrologic states simulated by the Community Land Model using two runoff parameterizations, Journal of Advances in Modeling Earth Systems, 06(3):658-679, doi:10.1002/2013MS000252.
[16] Lei Huimin, Yang Dawen, Huang Maoyi, (2014), Impacts of climate change and vegetation dynamics on runoff in the mountainous region of the Haihe River basin in the past five decades, Journal of Hydrology, 511,786-799.
[17] Xu, X., Yang, D., Yang, H., & Lei, H. (2014). Attribution analysis based on the Budyko hypothesis for detecting the dominant cause of runoff decline in Haihe basin. Journal of Hydrology. 510, 530–540.
[18] Zhen Liu, Ray P. Bambha, Joseph P. Pinto, Tao Zeng, Jim Boylan, Maoyi Huang, Huimin Lei, Chun Zhao, Shishi Liu, Jiafu Mao, Christopher R. Schwalm, Xiaoying Shi, Yaxing Wei, Hope A. Michelsen, 2014. Toward verifying fossil fuel CO2 emissions with the CMAQ model: Motivation, model description and initial simulation, Journal of the Air & Waste Management Association, 64 (4), 419-435, doi:10.1080/10962247.2013.816642.
[19] Lei Huimin, Yang Dawen. 2014. Combining crop coefficient of winter wheat and summer maize with remotely-sensed vegetation index for estimating evapotranspiration in the North China Plain. Journal of Hydrologic Engineering. 19(1), 243–251.
[20] Huntzinger, D. N., Schwalm, C., Michalak, A. M., Schaefer, K., King, A. W., Wei, Y., Jacobson, A., Liu, S., Cook, R. B., Post, W. M., Berthier, G., Hayes, D., Huang, M., Ito, A., Lei, H., Lu, C., Mao, J., Peng, C. H., Peng, S., Poulter, B., Riccuito, D., Shi, X., Tian, H., Wang, W., Zeng, N., Zhao, F., and Zhu, Q.: The North American Carbon Program Multi-Scale Synthesis and Terrestrial Model Intercomparison Project – Part 1: Overview and experimental design, Geosci. Model Dev., 2013, 6, 2121-2133, doi:10.5194/gmd-6-2121-2013, 2013.
[21] Leng, G., Huang, M., Tang, Q., Sacks, W. J., Lei, H., & Leung, L. R. (2013). Modeling the effects of irrigation on land surface fluxes and states over the conterminous United States: Sensitivity to input data and model parameters. Journal of Geophysical Research: Atmospheres, 118(17), 9789-9803.
[22] Shen, Y., Zhang, Y., R Scanlon, B., Lei, H., Yan, D., & Yang, F. (2013). Energy/water budgets and productivity of the typical croplands irrigated with groundwater and surface water in the North China Plain. Agricultural and Forest Meteorology, 181, 133-142.
[23] Zhang, Q., Lei, H. M.*, & Yang, D. W. (2013). Seasonal variations in soil respiration, heterotrophic respiration and autotrophic respiration of a wheat and maize rotation cropland in the North China Plain. Agricultural and Forest Meteorology, 180, 34-43.
[24] YANG, D. W., CHEN, H., & LEI, H. M. (2013). Analysis of the Diurnal Pattern of Evaporative Fraction and Its Controlling Factors over Croplands in the Northern China. Journal of Integrative Agriculture, 12(8), 1316-1329.
[25] Lei, H., Yang, D., Cai, J., & Wang, F. (2013). Long-term variability of the carbon balance in a large irrigated area along the lower Yellow River from 1984 to 2006. Science China Earth Sciences, 56(4), 671-683.
[26] Lei Huimin, Dawen Yang, Yanjun Shen, Yu Liu, and Yucui Zhang. 2011. Simulation of evapotranspiration and carbon dioxide flux in the wheat-maize rotation croplands of the North China Plain using the Simple Biosphere Model. Hydrological Processes, 25(20): 3107-3120.
[27] Lei Huimin, Dawen Yang, E. Lokupitiya, and Yanjun Shen. 2010. Coupling land surface and crop growth models for predicting evapotranspiration and carbon exchange in wheat-maize rotation croplands. Biogeosciences, 7, 3363-3375.
[28] Lei Huimin and Yang Dawen, 2010. Seasonal and interannual variations in carbon dioxide exchange over a cropland in the North China Plain. Global Change Biology, 16, 2944-2957.
[29] Lei Huimin and Yang Dawen, 2010. Interannual and seasonal variability in evapotranspiration and energy partitioning over an irrigated cropland in the North China Plain. Agricultural and Forest Meteorology. 150, 581-589.
[30] Yang Dawen, Chen He and Lei Huimin, 2010. Estimation of evapotranspiration using a remote sensing model over agriculture land in the North China Plain. International Journal of Remote Sensing. 31(14), 3783-3798.
[31] Lei Huimin, Yang Dawen, Stanislaus J. Schymanski and Murugesu Sivapalan, 2008. Modeling the crop transpiration using an optimality-based approach. Science in China Series E, 51, Supp. II, 60-75.
