基本介紹
發表論文
[1] Xu, L., Chen, N., Chen, Z., Zhang C., Yu H. (2021). Spatiotemporal forecasting in earth system science: Methods, uncertainties, predictability and future directions. Earth-Science Reviews, 103828. doi: 10.1016/j.earscirev.2021.103828
[2] Xu, L., Chen N.C., Zhang, X., Moradkhani H., Zhang,C., Hu C. (2020). In-situ and triple-collocation based evaluations of eightglobal root zone soil moisture products, RemoteSensing of Environment .
[3]Xu, L., Abbaszadeh, P. , Moradkhani, H. ,Chen, N. , & Zhang, X. (2020). Continental drought monitoring usingsatellite soil moisture, data assimilation and an integrated drought index. Remote Sensing of Environment, 250,112028 .
[4]Xu, L., Chen, N., Yang C., Zhang C., Yu H. (2021). A parametric multivariate drought index for drought monitoring and assessment under climate change. Agricultural and Forest Meteorology, 310, 108657.
[5]Xu, L., Zhang, C., Chen N.C., Moradkhani H.,Chu P.S., Zhang, X. Potential precipitation predictability decreases underfuture warming, Geophysical ResearchLetters, 2020 .
[6]Xu, L., Chen, N., Moradkhani, H., Zhang, X.,& Hu, C. (2020). Improving Global Monthly and Daily PrecipitationEstimation by Fusing Gauge Observations, Remote Sensing, and Reanalysis DataSets. Water Resources Research,56(3), e2019WR026444 .
[7]Xu, L., Chen, N., Zhang, X. and Chen, Z.,2019. Spatiotemporal changes in China's terrestrial water storage from GRACEsatellites and its possible drivers. Journalof Geophysical Research: Atmospheres, 124(22), pp.11976-11993 .
[8]Xu, L., Chen, N., Zhang, X., Chen, Z., Hu, C.and Wang, C., 2019. Improving the North American multi-model ensemble (NMME)precipitation forecasts at local areas using wavelet and machine learning. Climate dynamics, 53(1-2), pp.601-615 .
[9]Xu, L., Chen, N., Zhang, X. and Chen, Z.,2020. A data-driven multi-model ensemble for deterministic and probabilisticprecipitation forecasting at seasonal scale. Climate Dynamics, pp.1-20 .
[10]Xu, L., Chen, N., Zhang, X. and Chen, Z.,2018. An evaluation of statistical, NMME and hybrid models for droughtprediction in China. Journal ofHydrology, 566, pp.235-249 .
[11]Xu, L., Chen, N. and Zhang, X., 2018. A comparison of large-scale climate signals and the North American Multi-ModelEnsemble (NMME) for drought prediction in China. Journal of Hydrology, 557, pp.378-390 .
[12] Xu, L.,Chen, N. and Chen, Z., 2017. Will China make a difference in its carbonintensity reduction targets by 2020 and 2030?. Applied Energy, 203, pp.874-882 .
[13] Xu, L.,Chen, N. and Zhang, X., 2019. Global drought trends under 1.5 and 2 C warming. International Journal of Climatology,39(4), pp.2375-2385 .
[14] Chen, N., Xu, L. and Chen, Z., 2017. Environmental efficiency analysis of theYangtze River Economic Zone using super efficiency data envelopment analysis(SEDEA) and tobit models. Energy,134, pp.659-671 .
[15] Chen N , Xu L . Relationship between air quality and economic development inthe provincial capital cities of China[J]. EnvironmentalScience & Pollution Research, 2017 .
[16] Phan, P., Chen, N. , Xu, L. , & Chen, Z. (2020). Using multi-temporal modis ndvi datato monitor tea status and forecast yield: a case study at tanuyen, laichau,vietnam. Remote Sensing, 12(11),1814 .
[17] Chen, Z., Zeng, Y., Shen, G., Xiao, C.,Xu, L. and Chen, N., 2020. Spatiotemporal characteristics and estimates of extreme precipitation in theYangtze River Basin using GLDAS data. International Journal of Climatology .
[18] Xiao, C., Chen, N., Hu, C., Wang, K.,Xu, Z., Cai, Y., Xu, L., Chen, Z.and Gong, J., 2019. A spatiotemporal deep learning model for sea surfacetemperature field prediction using time-series satellite data. Environmental Modelling & Software,120, p.104502
[19] Zhang C, Duan Q, Yeh P J F, Pan Y, Gong H, Hamid M, Gong W, Liao W, Lei X, Xu L, Huang Z, Zheng L, Guo X. Sub-regional groundwater storage recovery in North China Plain after the South-to-North water diversion project[J]. Journal of Hydrology, 2021: 126156.
[20] Phan, P., Chen, N., Xu, L., Dao D., Dang D. NDVI Variation and Yield Prediction in Growing Season: A Case Study with Tea in Tanuyen Vietnam. Atmosphere, 2021, 12(8), 962.
