A spatiotemporal deep learning model for sea surface temperature field prediction using time-series satellite data C Xiao, N Chen, C Hu, K Wang, Z Xu, Y Cai, L Xu, Z Chen, J Gong Environmental Modelling & Software 120, 104502, 2019 | 177 | 2019 |
Global drought trends under 1.5 and 2° C warming L Xu, N Chen, X Zhang International Journal of Climatology 39 (4), 2375-2385, 2019 | 131 | 2019 |
Environmental efficiency analysis of the Yangtze River Economic Zone using super efficiency data envelopment analysis (SEDEA) and tobit models N Chen, L Xu, Z Chen Energy 134, 659-671, 2017 | 119 | 2017 |
Continental drought monitoring using satellite soil moisture, data assimilation and an integrated drought index L Xu, P Abbaszadeh, H Moradkhani, N Chen, X Zhang Remote Sensing of Environment 250, 112028, 2020 | 118 | 2020 |
Will China make a difference in its carbon intensity reduction targets by 2020 and 2030? L Xu, N Chen, Z Chen Applied energy 203, 874-882, 2017 | 113 | 2017 |
In-situ and triple-collocation based evaluations of eight global root zone soil moisture products L Xu, N Chen, X Zhang, H Moradkhani, C Zhang, C Hu Remote Sensing of Environment 254, 112248, 0 | 101 | |
Sub-regional groundwater storage recovery in North China Plain after the South-to-North water diversion project C Zhang, Q Duan, PJF Yeh, Y Pan, H Gong, H Moradkhani, W Gong, ... Journal of Hydrology 597, 126156, 2021 | 82 | 2021 |
An evaluation of statistical, NMME and hybrid models for drought prediction in China L Xu, N Chen, X Zhang, Z Chen Journal of hydrology 566, 235-249, 2018 | 79 | 2018 |
Improving global monthly and daily precipitation estimation by fusing gauge observations, remote sensing and reanalysis datasets L Xu, N Chen, H Moradkhani, X Zhang, C Hu Water Resources Research, e2019WR026444, 0 | 78 | |
Spatiotemporal forecasting in earth system science: Methods, uncertainties, predictability and future directions L Xu, N Chen, Z Chen, C Zhang, H Yu Earth-Science Reviews, 103828, 2021 | 69 | 2021 |
Improving the North American multi-model ensemble (NMME) precipitation forecasts at local areas using wavelet and machine learning L Xu, N Chen, X Zhang, Z Chen, C Hu, C Wang Climate Dynamics 53 (1-2), 601-615, 2019 | 58 | 2019 |
Spatiotemporal changes in China's terrestrial water storage from GRACE satellites and its possible drivers L Xu, N Chen, X Zhang, Z Chen Journal of Geophysical Research: Atmospheres, 2019 | 51 | 2019 |
Drought propagation modification after the construction of the Three Gorges Dam in the Yangtze River Basin S Huang, X Zhang, N Chen, B Li, H Ma, L Xu, R Li, D Niyogi Journal of Hydrology 603, 127138, 2021 | 50 | 2021 |
A data-driven multi-model ensemble for deterministic and probabilistic precipitation forecasting at seasonal scale L Xu, N Chen, X Zhang, Z Chen Climate Dynamics, 1-20, 2020 | 43 | 2020 |
A parametric multivariate drought index for drought monitoring and assessment under climate change L Xu, N Chen, C Yang, C Zhang, H Yu Agricultural and Forest Meteorology 310, 108657, 2021 | 42 | 2021 |
Using Multi-Temporal MODIS NDVI Data to Monitor Tea Status and Forecast Yield: A Case Study at Tanuyen, Laichau, Vietnam P Phan, N Chen, L Xu, Z Chen Remote Sensing 12 (11), 1814, 2020 | 37 | 2020 |
A spatiotemporal deep learning model ST-LSTM-SA for hourly rainfall forecasting using radar echo images J Liu, L Xu, N Chen Journal of Hydrology, 127748, 2022 | 36 | 2022 |
A comparison of large-scale climate signals and the North American Multi-Model Ensemble (NMME) for drought prediction in China L Xu, N Chen, X Zhang Journal of hydrology 557, 378-390, 2018 | 29 | 2018 |
Relationship between air quality and economic development in the provincial capital cities of China N Chen, L Xu Environmental Science and Pollution Research 24 (3), 2928-2935, 2017 | 26 | 2017 |
Towards sustainable smart cities: Maturity assessment and development pattern recognition in China J Liu, N Chen, Z Chen, L Xu, W Du, Y Zhang, C Wang Journal of Cleaner Production, 133248, 2022 | 25 | 2022 |