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Xuan JI
Xuan JI
Verifierad e-postadress på atmos.ucla.edu
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Hydrological simulation using TRMM and CHIRPS precipitation estimates in the lower Lancang-Mekong river basin
X Luo, W Wu, D He, Y Li, X Ji
Chinese geographical science 29, 13-25, 2019
962019
Evaluation of bias correction methods for APHRODITE data to improve hydrologic simulation in a large Himalayan basin
X Ji, Y Li, X Luo, D He, R Guo, J Wang, Y Bai, C Yue, C Liu
Atmospheric Research 242, 104964, 2020
922020
Fine-resolution precipitation mapping in a mountainous watershed: geostatistical downscaling of TRMM products based on environmental variables
Y Zhang, Y Li, X Ji, X Luo, X Li
Remote Sensing 10 (1), 119, 2018
632018
Performance evaluation of the CHIRPS precipitation dataset and its utility in drought monitoring over Yunnan Province, China
W Wu, Y Li, X Luo, Y Zhang, X Ji, X Li
Geomatics, Natural Hazards and Risk 10 (1), 2145-2162, 2019
602019
Changes in the lake area of Tonle Sap: possible linkage to runoff alterations in the Lancang River?
X Ji, Y Li, X Luo, D He
Remote Sensing 10 (6), 866, 2018
402018
Mechanisms for precipitation variability of the eastern Brazil/SACZ convective margin
HY Ma, X Ji, JD Neelin, CR Mechoso
Journal of Climate 24 (13), 3445-3456, 2011
352011
Evaluation and hydrologic validation of three satellite-based precipitation products in the upper catchment of the Red River Basin, China
Y Zhang, Y Li, X Ji, X Luo, X Li
Remote Sensing 10 (12), 1881, 2018
292018
Interhemispheric teleconnections from tropical heat sources in intermediate and simple models
X Ji, JD Neelin, SK Lee, CR Mechoso
Journal of climate 27 (2), 684-697, 2014
272014
Spatial downscaling of the tropical rainfall measuring mission precipitation using geographically weighted regression Kriging over the Lancang River Basin, China
Y Li, Y Zhang, D He, X Luo, X Ji
Chinese Geographical Science 29, 446-462, 2019
232019
A hybrid triple collocation-deep learning approach for improving soil moisture estimation from satellite and model-based data
W Ming, X Ji, M Zhang, Y Li, C Liu, Y Wang, J Li
Remote Sensing 14 (7), 1744, 2022
222022
Bias correction of gauge-based gridded product to improve extreme precipitation analysis in the Yarlung Tsangpo-Brahmaputra River Basin
X Luo, X Fan, Y Li, X Ji
Natural Hazards and Earth System Sciences Discussions 2019, 1-35, 2019
192019
Modified flood potential index (MFPI) for flood monitoring in terrestrial water storage depletion basin using GRACE estimates
W Jiang, X Ji, Y Li, X Luo, L Yang, W Ming, C Liu, S Yan, C Yang, C Sun
Journal of Hydrology 616, 128765, 2023
182023
Observed changes in temperature and precipitation extremes over the Yarlung Tsangpo River Basin during 1970–2017
C Liu, Y Li, X Ji, X Luo, M Zhu
Atmosphere 10 (12), 815, 2019
172019
Meteorological and hydrological droughts in the Lancang-Mekong River Basin: Spatiotemporal patterns and propagation
X Luo, X Luo, X Ji, W Ming, L Wang, X Xiao, J Xu, Y Liu, Y Li
Atmospheric Research 293, 106913, 2023
162023
Evaluation of corrected APHRODITE estimates for hydrological simulation in the Yarlung Tsangpo–Brahmaputra River Basin
X Luo, X Fan, X Ji, Y Li
International Journal of Climatology 40 (9), 4158-4170, 2020
162020
Spatiotemporal variation of snow cover and its relationship with temperature and precipitation in the Yarlung Tsangpo-Brahmaputra River Basin
R Guo, X Ji, C Liu, C Liu, W Jiang, L Yang
Journal of Mountain Science 19 (7), 1901-1918, 2022
132022
Low flow variations in the Middle and Upper Nujiang River Basin and possible responds to climate change in recent 50 years
L Xian, H Daming, J Xuan, L Ying, L Yungang
Scientia Geographica Sinica 36 (1), 107-113, 2016
132016
El Niño–Southern Oscillation sea level pressure anomalies in the western Pacific: Why are they there?
X Ji, JD Neelin, CR Mechoso
Journal of Climate 28 (22), 8860-8872, 2015
112015
On the connection between continental-scale land surface processes and the tropical climate in a coupled ocean–atmosphere–land system
HY Ma, CR Mechoso, Y Xue, H Xiao, JD Neelin, X Ji
Journal of climate 26 (22), 9006-9025, 2013
112013
Leveraging multisource data for accurate agricultural drought monitoring: A hybrid deep learning model
X Xiao, W Ming, X Luo, L Yang, M Li, P Yang, X Ji, Y Li
Agricultural Water Management 293, 108692, 2024
102024
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Artiklar 1–20