[1]. Huang, C. L., Hu, B. X., Li, X., and Ye, M., 2009. Using ensemble Kalman filter to simulate groundwater flow and solute transport in heterogeneous media with unknown contamination sources. Stochastic Environmental Research and Risk Assessment. 23, 155–1167 (SCI)
[2]. Huang, C. L., Li, X., Lu, L., and Gu, J., 2008. Experiments of one-dimensional soil moisture assimilation system based on ensemble Kalman filter, Remote Sensing of Environment, 112(3), 888-900 (SCI)
[3]. Huang, C. L., Li, X., and Lu, L., 2008. Retrieving soil temperature profile by assimilating MODIS LST products with ensemble Kalman filter. Remote Sensing of Environment, 112(4), 1320-1336. (SCI)
[4]. Gu, J., Li, X., Huang, C. L., Okin, G. S., 2009. A simplified data assimilation method for reconstructing time-series MODIS NDVI data. Advances in Space Research, 44(4), 501-509. (SCI)
[5]. Li, X., Huang, C. L., Che, T., Jin, R., Wang, S. G., Wang, J. M., Gao, F., Zhang, S. W., Qiu, C. J., and Wang, C. H., 2007. Development of a Chinese land data assimilation system: Its progress and prospects. Progress in Natural Science, 17(8), 881-892. (SCI)
[6]. Huang, C. L., Li, X., and Gu, J., 2008. Estimation of regional soil moisture by assimilating multisensory passive microwave remote sensing observations based on ensemble Kalman filter. In: Proceedings of IGARSS’08, IEEE International GeoScience and Remote Sensing Symposium，Boston, Massachusetts, U.S.A, July 6-11, 2008．(EI)
[7]. Huang, C. L., Li, X., Wang, J. M., Gu, J., 2008. Assimilation of Remote Sensing Data Products into Common Land Model for Evapotranspiration forecasting. Proceedings of the 8th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, Shanghai, P. R. China, June 25-27, 2008, pp. 234-241.
[8]. 黄春林，李新. 2006. 土壤水分同化系统的敏感性实验研究.水科学进展, 17(4):457-465. (EI)
