@Article{JICS-16-077,
author = {Ailiyaer , AihaitiZhu , LianhuaYao , YiyiZhao , Weihao and Xu , Fanran},
title = {The Drivers and Forecasting of Summer Precipitation over the Yangtze-Huai River Basin Based on the Empirical Orthogonal Teleconnection},
journal = {Journal of Information and Computing Science},
year = {2024},
volume = {16},
number = {1},
pages = {077--080},
abstract = {<p style="text-align: justify;">In this paper, the Empirical Orthogonal Teleconnection (EOT) analysis is applied to extract the
leading modes of summer precipitation from 1951 to 2010 over the Yangtze-Huai River Basin. To analyze the
time period of precipitation, the spectrum analysis is performed on the time series of EOT modes. Furthermore,
the correlation analysis is used to discuss their drivers, and the major drivers are introduced to construct the
forecasting model of summer precipitation. Results show that, the first three leading EOTs can explain about
63% variability of precipitation. The inter-annual, nearly decadal and decadal period signals of the EOT time
series (T1-T3) are most significant, respectively. The East Asian summer monsoon (EASM), East Asia/Pacific
pattern (EAP), Nino3.4 and Southern Annular Mode (SAM) indices are correlated with T1; the Nino3.4, the
Northern Annular Mode (NAM) and SAM indices are correlated with T2, and Indian Ocean Dipole mode (IOD)
is correlated with T3. The forecasting model can well capture the main characteristic of summer precipitation.</p>},
issn = {1746-7659},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22382.html}
}