DI LIU

Hydroclimatology, Land-Atmosphere Interactions, Climate Change and Impact Assessment, Data Assimilation

Publications: Journal Articles

(1) Liu Di, Ashok K. Mishra*, ZhongboYu*, Haishen Lü, Yajie Li. Support vector machine and data assimilation framework for Groundwater Level Forecasting using GRACE satellite data. Journal of Hydrology, 2021, 603: 126929.  https://doi.org/10.1016/j.jhydrol.2021.126929.

(2) Liu Di, Ashok K. Mishra*, Deepak K. Ray. Sensitivity of global major crop yields to climate variables: A non-parametric elasticity analysis. Science of the Total Environment, 2020 Dec 15, 748: 141431. Doi: https://doi.org/10.1016/j.scitotenv.2020.141431.

(3) Liu Di, Mishra, Ashok K., Zhongbo Yu. Evaluation of hydroclimatic variables for maize yield estimation using crop model and remotely sensed data assimilation, Stochastic Environmental Research and Risk Assessment, 2019 Jul, 33(7): 1283~1295. Doi: 10.1007/s00477-019-01700-3.

(4) Liu, Di, Mishra, Ashok K., Performance of AMSR_E soil moisture data assimilation in CLM4. 5 model for monitoring hydrologic fluxes at global scale, Journal of Hydrology, 2017 Apr, 547: 67~79. Doi:http://dx.doi.org/10.1016/j.jhydrol.2017.01.036.

(5) Liu, Di, Mishra, Ashok K., Zhongbo Yu, Chuanguo Yang, Goutam Konapala, and Tue Vu, Performance of SMAP, AMSR-E and LAI for weekly agricultural drought forecasting over continental United States,Journal of Hydrology, 2017 Oct, 553: 88~104.Doi: https://doi.org/10.1016/j.jhydrol.2017.07.049.

(6) Liu, Di, Mishra, Ashok K., Zhang, Ke, Runoff Sensitivity over Asia: Role of Climate Variables and Initial Soil Conditions, Journal of Geophysical Research-Atmospheres, 2017 Feb 27, 122(4): 2218~2238. Doi: 10.1002/2016JD025694.

(7) Liu, Di, Yu, Zhongbo, Mishra, Ashok K., Evaluation of soil moisture-precipitation feedback at different time scales over Asia, International Journal of Climatology, 2017 Jul, 37(9): 3619~3629. Doi: 10.1002/joc.494. (SCI, IF: 4.069) WOS:000404854600009

(8) Liu, Di, Mishra, Ashok K., Yu, Zhongbo, Evaluating uncertainties in multi-layer soil moisture estimation with support vector machines and ensemble Kalman filtering, Journal of Hydrology, 2016 Jul, 538: 243~255. Doi:http://dx.doi.org/10.1016/j.jhydrol.2016.04.021.

(9) Liu, Di, Yu, Zhongbo, Zhang, Jianyun, Diagnosing the strength of soil temperature in the land atmosphere interactions over Asia based on RegCM4 model, Global and Planetary Change, 2015 Jul, 130: 7~21.Doi:10.1016/j.gloplacha.2015.03.007.

(10) Liu, Di, Wang, Guiling, Mei, Rui, Yu, Zhongbo, Gu, Huanghe, Diagnosing the strength of land-atmosphere coupling at subseasonal to seasonal time scales in Asia, Journal of Hydrometeorology, 2014 Feb, 15(1): 320~339. Doi: http://dx.doi.org/10.1175/JHM-D-13-0104.1.

(11) Liu, Di, Wang, Guiling, Mei, Rui, Yu, Zhongbo, Yu, Miao, Impact of initial soil moisture anomalies on climate mean and extremes over Asia, Journal of Geophysical Research-Atmospheres, 2014 Jan 27, 119(2): 529~545. Doi: 10.1002/2013JD020890.

(12) Yu, Zhongbo, Liu, Di, Lü, Haishen, Fu, Xiaolei, Xiang, Long, Zhu, Yonghua, A multi-layer soil moisture data assimilation using support vector machines and ensemble particle filter, Journal of Hydrology, 2012 Dec 19, 475: 53~64. Doi: 10.1016/j.jhydrol.2012.08.034.

(13) Liu, Di, Yu, Zhongbo, Lü, Haishen, Data assimilation using support vector machines and ensemble Kalman filter for multi-layer soil moisture prediction, Water science and engineering, 2010, 3(4): 361~377. Doi: 10.3882/j.issn.1674-2370.2010.04.001.

(14) Tue Vu, M., Mishra, Ashok K., Konapala, Goutam, Liu, Di, Evaluation of multiple stochastic rainfall generators in diverse climatic regions, Stochastic Environmental Research and Risk Assessment, 2017, 32(5): 1337~1353.

(15) Yu, Zhongbo, Cai, Huiyi, Yang, Chuanguo, Ju, Qin, Liu, Di, Sun, Aili, Adaptivity of budyko hypothesis in evaluating interannual variability of watershed water balance in Northern China, Journal of Hydrologic Engineering, 2014, 19(4): 699~706. Doi:10.1061/(SACE)HE.1943-5584.0000862.

(16) Yu, Zhongbo, Fu, Xiaolei, Luo, Lifeng, Lü, Haishen, Ju, Qin, Liu, Di, Kalin, Dresden A., Huang, Dui, Yang, Chuanguo, Zhao, Lili, One-dimensional soil temperature prediction by assimilating in situ observations and MODIS LST by using ensemble particle filter and Common Land Model, Water Resources Research, 2014, 50(3): 6950~6965. Doi: 101.002/2012WR013473.

(17) Fu, Xiaolei, Yu, Zhongbo, Luo, Lifeng, Lü, Haishen, Liu, Di, Ju, Qin, Yang, Tao, Xu, Feng, Gu, Huanghe, Yang, Chuanguo, Chen, Jingwen, Wang, Ting, Investigating soil moisture sensitivity to precipitation and evapotranspiration errors using SiB2 model and ensemble Kalman filter, Stochastic Environmental Research and Risk Assessment, 2014, 28(3): 681~693. Doi: 10.1007/s00477-013-0781-3.

(18) Yu, Zhong Bo, Fu, Xiao Lei, Lü, Hai Shen, Luo, Li Feng, Liu, Di, Ju, Qin, Xiang, Long, Wang, Zong Zhi, Evaluating ensemble Kalman; particle and ensemble particle filters through soil temperature prediction, Journal of Hydrologic Engineering, 2014, 19(12): 04014027-1~04014027-13. Doi: 10.1061/(ASCE)HE.1943-5584.0000976.

• Fundamentals of meteorology

• Principles and Applications of Database 

• Engineering Hydrology