受强制性开放获取政策约束的文章 - Ye Tian了解详情
无法在其他位置公开访问的文章:3 篇
Agricultural drought prediction using climate indices based on Support Vector Regression in Xiangjiang River basin
Y Tian, YP Xu, G Wang
Science of the total environment 622, 710-720, 2018
强制性开放获取政策: 国家自然科学基金委员会
Drought prediction using in situ and remote sensing products with SVM over the Xiang River Basin, China
Q Zhu, Y Luo, D Zhou, YP Xu, G Wang, Y Tian
Natural Hazards 105, 2161-2185, 2021
强制性开放获取政策: 国家自然科学基金委员会
Modeling the impact of climate change on low flows in Xiangjiang River Basin with Bayesian averaging method
Y Tian, YP Xu, C Ma, G Wang
Journal of Hydrologic Engineering 22 (9), 04017035, 2017
强制性开放获取政策: 国家自然科学基金委员会
可在其他位置公开访问的文章:8 篇
Integration of a Parsimonious Hydrological Model with Recurrent Neural Networks for Improved Streamflow Forecasting
Y Tian, YP Xu, Z Yang, G Wang, Q Zhu
Water 10 (11), 1655, 2018
强制性开放获取政策: 国家自然科学基金委员会
Satellite soil moisture for agricultural drought monitoring: Assessment of SMAP-derived soil water deficit index in Xiang River Basin, China
Q Zhu, Y Luo, YP Xu, Y Tian, T Yang
Remote Sensing 11 (3), 362, 2019
强制性开放获取政策: 国家自然科学基金委员会
Prediction skill of extended range 2-m maximum air temperature probabilistic forecasts using machine learning post-processing methods
T Peng, X Zhi, Y Ji, L Ji, Y Tian
Atmosphere 11 (8), 823, 2020
强制性开放获取政策: 国家自然科学基金委员会
Evaluation of potential evapotranspiration based on CMADS reanalysis dataset over China
Y Tian, K Zhang, YP Xu, X Gao, J Wang
Water 10 (9), 1126, 2018
强制性开放获取政策: 国家自然科学基金委员会
Impact assessment of multiple uncertainty sources on high flows under climate change
Y Tian, YP Xu, MJ Booij, L Cao
Hydrology Research 47 (1), 61-74, 2016
强制性开放获取政策: 国家自然科学基金委员会
Uncertainty in future high flows in Qiantang River Basin, China
Y Tian, YP Xu, MJ Booij, G Wang
Journal of Hydrometeorology 16 (1), 363-380, 2015
强制性开放获取政策: 国家自然科学基金委员会
Comprehensive effects of atmosphere and soil drying on stomatal behavior of different plant types
Z Xu, Y Tian, Z Liu, X Xia
Water 15 (9), 1675, 2023
强制性开放获取政策: 国家自然科学基金委员会
Ensemble Skill Gains Obtained From the Multi‐Physics Versus Multi‐Model Approaches for Continental‐Scale Hydrological Simulations
W Fei, H Zheng, Z Xu, WY Wu, P Lin, Y Tian, M Guo, D She, L Li, K Li, ...
Water Resources Research 57 (7), e2020WR028846, 2021
强制性开放获取政策: 国家自然科学基金委员会
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