Xianghui Fang
Xianghui Fang
Department of Atmospheric and Oceanic Sciences & Institute of Atmospheric Sciences,Fudan University
E-mail megerősítve itt: fudan.edu.cn - Kezdőlap
Hivatkozott rá
Hivatkozott rá
Asymmetry of the Bjerknes positive feedback between the two types of El Niño
F Zheng, XH Fang, JY Yu, J Zhu
Geophysical Research Letters 41 (21), 7651-7657, 2014
The 2020/21 extremely cold winter in China influenced by the synergistic effect of La Niña and warm Arctic
F Zheng, Y Yuan, Y Ding, K Li, X Fang, Y Zhao, Y Sun, J Zhu, Z Ke, ...
Advances in atmospheric sciences 39 (4), 546-552, 2022
Modulation of Bjerknes feedback on the decadal variations in ENSO predictability
F Zheng, XH Fang, J Zhu, JY Yu, XC Li
Geophysical Research Letters 43 (24), 12,560-12,568, 2016
Revisiting the relationship between the South Asian summer monsoon drought and El Niño warming pattern
F Fan, X Dong, X Fang, F Xue, F Zheng, J Zhu
Atmospheric Science Letters 18 (4), 175-182, 2017
The cloud‐radiative effect when simulating strength asymmetry in two types of E l N iño events using CMIP5 models
XH Fang, F Zheng, J Zhu
Journal of Geophysical Research: Oceans 120 (6), 4357-4369, 2015
Both air-sea components are crucial for El Niño forecast from boreal spring
XH Fang, M Mu
Scientific reports 8 (1), 1-8, 2018
A three-region conceptual model for central Pacific El Niño including zonal advective feedback
XH Fang, M Mu
Journal of Climate 31 (13), 4965-4979, 2018
A brief review of ENSO theories and prediction
X Fang, R Xie
Science China Earth Sciences 63 (4), 476-491, 2020
Decadal modulation of ENSO spring persistence barrier by thermal damping processes in the observation
XH Fang, F Zheng, ZY Liu, J Zhu
Geophysical Research Letters 46 (12), 6892-6899, 2019
Simulating Eastern-and Central-Pacific Type ENSO using a simple coupled model
X Fang, F Zheng
Advances in Atmospheric Sciences 35 (6), 671-681, 2018
The predictability of ocean environments that contributed to the 2020/21 extreme cold events in China: 2020/21 La Niña and 2020 Arctic sea ice loss
F Zheng, JP Liu, XH Fang, MR Song, CY Yang, Y Yuan, KX Li, J Wang, ...
Advances in Atmospheric Sciences 39 (4), 658-672, 2022
New indices for better understanding ENSO by incorporating convection sensitivity to sea surface temperature
R Xie, M Mu, X Fang
Journal of Climate 33 (16), 7045-7061, 2020
A multiscale model for El Niño complexity
N Chen, X Fang, JY Yu
npj Climate and Atmospheric Science 5 (1), 1-13, 2022
Effect of the air–sea coupled system change on the ENSO evolution from boreal spring
XH Fang, F Zheng
Climate Dynamics 57 (1), 109-120, 2021
The unusual 2014–2016 El Niño events: Dynamics, prediction and enlightenments
R Xie, X Fang
Science China Earth Sciences 63 (5), 626-633, 2020
The optimal precursor of El Niño in the GFDL CM2p1 model
Z Yang, X Fang, M Mu
Journal of Geophysical Research: Oceans 125 (3), e2019JC015797, 2020
Effect of decadal changes in air-sea interaction on the climate mean state over the tropical Pacific
XH Fang, F Zheng
Atmospheric and Oceanic Science Letters 7 (5), 400-405, 2014
Influence of the eastern pacific and central pacific types of ENSO on the south Asian summer monsoon
F Fan, R Lin, X Fang, F Xue, F Zheng, J Zhu
Advances in Atmospheric Sciences 38 (1), 12-28, 2021
Ship trajectory cleansing and prediction with historical ais data using an ensemble ann framework
Y Sun, X Chen, L Jun, J Zhao, Q Hu, X Fang, Y Yan
Int. J. Innov. Comput. Inf. Control 17, 443-459, 2021
Will the historic southeasterly wind over the equatorial pacific in March 2022 trigger a third-year La Niña Event?
X Fang, F Zheng, K Li, ZZ Hu, H Ren, J Wu, X Chen, W Lan, Y Yuan, ...
Advances in Atmospheric Sciences, 1-8, 2022
A rendszer jelenleg nem tudja elvégezni a műveletet. Próbálkozzon újra később.
Cikkek 1–20