许磊
基本信息Personal Information
教授 硕士生导师
性别 : 男
毕业院校 : 武汉大学
学历 : 博士研究生
学位 : 理学博士学位
在职信息 : 在职
所在单位 : 国家地理信息系统工程技术研究中心
办公地点 : 中国地质大学(武汉)未来城校区科八楼431
联系方式 : xulei10@cug.edu.cn
Email :
扫描关注
- [1]Xu, L..Spatiotemporal forecasting in earth system science: Methods, uncertainties, predictability and future directions.Earth-Science Reviews.2021,222 :103828
- [2]Xu, L..A parametric multivariate drought index for drought monitoring and assessment under climate change.Agricultural and Forest Meteorology.2021,310
- [3]Xu L..In-situ and triple-collocation based evaluations of eight global root zone soil moisture products.Remote Sensing of Environment.2020,254 :112248
- [4]Xu, L..Continental drought monitoring using satellite soil moisture, data assimilation and an integrated drought index.Remote Sensing of Environment.2020,250 :112028
- [5]Xu, L..Potential precipitation predictability decreases under future warming.Geophysical Research Letters.2020
- [6]Xu, L..Improving Global Monthly and Daily Precipitation Estimation by Fusing Gauge Observations, Remote Sensing, and Reanalysis Data Sets.Water Resources Research.2020,56 (3):e2019WR026444
- [7]Xu, L..Spatiotemporal changes in China's terrestrial water storage from GRACE satellites and its possible drivers.Journal of Geophysical Research: Atmospheres.2019,124 (22):11976-11993
- [8]Xu, L..Improving the North American multi-model ensemble (NMME) precipitation forecasts at local areas using wavelet and machine learning.Climate Dynamics.2019,53 (1-2):601-615
- [9]Xu, L..A data-driven multi-model ensemble for deterministic and probabilistic precipitation forecasting at seasonal scale.Climate Dynamics.2020,54 :3355–3374
- [10]Xu, L..An evaluation of statistical, NMME and hybrid models for drought prediction in China.Journal of Hydrology,566 :235-249
- [11]Xu, L..A comparison of large-scale climate signals and the North American Multi-Model Ensemble (NMME) for drought prediction in China.Journal of Hydrology.2017,557 :378-390
- [12]Xu, L..Will China make a difference in its carbon intensity reduction targets by 2020 and 2030?.Applied Energy.2017,203 :874-882
- [13]Xu, L..Global drought trends under 1.5 and 2 C warming.International Journal of Climatology.2018,39 (4):2375-2385
- [14]Chen, N..Environmental efficiency analysis of the Yangtze River Economic Zone using super efficiency data envelopment analysis (SEDEA) and tobit models.Energy,134 :659-671
- [15]Chen N..Relationship between air quality and economic development in the provincial capital cities of China.Environmental Science & Pollution Research.2016,24 :2928–2935
- [16]Phan, P..Using multi-temporal modis ndvi data to monitor tea status and forecast yield: a case study at tanuyen, laichau, vietnam.Remote Sensing.2020,12 (11):1814
- [17]Chen, Z..Spatiotemporal characteristics and estimates of extreme precipitation in the Yangtze River Basin using GLDAS data.International Journal of Climatology.2020,41 :E1812– E1830
- [18]Xiao, C..A spatiotemporal deep learning model for sea surface temperature field prediction using time-series satellite data.Environmental Modelling & Software.2019,120 :104502
- [19]Zhang C.Sub-regional groundwater storage recovery in North China Plain after the South-to-North water diversion project.Journal of Hydrology.2021,2021 (12)
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