最新成果

SCI 文章

1.Han, X. and X. Li (2008). "An evaluation of the nonlinear/non-Gaussian filters for the sequential data assimilation." Remote Sensing of Environment 112(4): 1434-1449.下载pdf

2.Huang, C. L., X. Li, et al. (2008). "Retrieving soil temperature profile by assimilating MODIS LST products with ensemble Kalman filter." Remote Sensing of Environment 112(4): 1320-1336.下载pdf

3.  Huang, C. L., X. Li, et al. (2008). "Experiments of one-dimensional soil moisture assimilation system based on ensemble Kalman filter." Remote Sensing of Environment 112(3): 888-900. 下载pdf

4.  Li, X., C. L. Huang, et al. (2007). "Development of a Chinese land data assimilation system: its progress and prospects." Progress in Natural Science 17(8): 881-892. 下载pdf

5.  Li, X., T. Koike, et al. (2004). "A very fast simulated re-annealing (VFSA) approach for land data assimilation." Computers & Geosciences 30(3): 239-248.下载pdf

6. Mahadevan, P., T. Koike, et al. (2007). "Modification and application of the satellite-based land data assimilation scheme for very dry soil regions using AMSR-E images: Model validation for Mongolia - a CEOP data platform." Journal of the Meteorological Society of Japan 85A: 243-260.下载pdf

7. Pathmathevan, M., T. Koike, et al. (2003). "A new satellite-based data assimilation algorithm to determine spatial and temporal variations of soil moisture and temperature profiles." Journal of the Meteorological Society of Japan 81(5): 1111-1135.下载pdf

8.  Pathmathevan, M., T. Koike, et al. (2003). "A simplified land data assimilation scheme and its application to soil moisture experiments in 2002 (SMEX02)." Water Resources Research 39(12): -. 下载pdf

9.  Yang, K., T. Watanabe, et al. (2007). "Auto-calibration system developed to assimilate AMSR-E data into a land surface model for estimating soil moisture and the surface energy budget." Journal of the Meteorological Society of Japan 85A: 229-242. 下载pdf

10.  Zhang, S. W., H. R. Li, et al. (2005). "Estimating the soil moisture profile by assimilating near-surface observations with the ensemble Kalman filter (EnKF)." Advances in Atmospheric Sciences 22(6): 936-945.下载pdf

EI 文章

11.  Gu, J. and X. Li, et al. (2008). "A simplified data assimilation method for reconstructing time series MODIS NDVI data.". 下载pdf

12.  Huang, C. and X. Li, et al. (2008). "Estimation of regional soil moisture by assimilating multi-sensor passive microwave remote sensing observations based on ensemble Kalman filter.". 下载pdf

13.  Li, X., T. Koike, et al. (2006). Development of a land data assimilation system for assimilating AMSR-E brightness temperature observations - System implementation and numerical tests at the CEOP reference sites, Denver, CO, United States, Institute of Electrical and Electronics Engineers Inc., Piscataway, NJ 08855-1331, United States.下载pdf

14.  黄春林,李新 (2006). "土壤水分同化系统的敏感性试验研究." 水科学进展(04).下载pdf

核心期刊

15周剑,王根绪, et al. (2008). "数据同化算法在青藏高原高寒生态系统能量—水分平衡分析中的应用." 地球科学进展(09). 下载pdf

16.  韩旭军,李新 (2008). "非线性滤波方法与陆面数据同化." 地球科学进展(08).下载pdf

17.  李新,马明国, et al. (2008). "黑河流域遥感—地面观测同步试验:科学目标与试验方案." 地球科学进展(09). 下载pdf

18.  李新,黄春林, et al. (2007). "中国陆面数据同化系统研究的进展与前瞻." 自然科学进展(02).下载pdf

19.  黄春林,李新 (2006). "基于集合卡尔曼滤波的土壤水分同化试验." 高原气象(04)下载pdf

20.  李新,黄春林 (2004). "数据同化——一种集成多源地理空间数据的新思路." 科技导报(12). 下载pdf

21.  黄春林,李新 (2004). "陆面数据同化系统的研究综述." 遥感技术与应用(05).下载pdf

22.  李新,小池俊雄, et al. (2003). "一个基于模拟退火法的陆面数据同化算法." 地球科学进展(04). 下载pdf

会议论文

23Huang, C. and X. Li, et al. (2008). "Assimilation of remote sensing data products into common land model for evapotranspiration forecasting.". 下载pdf

24.  Gu, J. and X. Li, et al. (2008). "Spatio-temporal reconstruction of MODIS NDVI data sets based on data assimilation methods.". 下载pdf

25.  Han, X. and X. Li (2008). "On the representation of spatial uncertainties with stochastic simulation in land data assimilation.".下载pdf

26.  Li, X. and C. Huang, et al. (2007). "Assimilating Passive Microwave Remote Sensing Data in Land Surface Model for the Better predictability of Land Surface States.". 下载pdf

27.  Huang, C. and X. Li (2005). "Experiments of soil moisture data assimilation system based on ensemble Kalman filter.". 下载pdf