How robust is the asian precipitation-ENSO relationship during the industrial warming period (1901-2017)?

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Abstract

Instrumental observations (1901-2017) are used to uncover the seasonality, regionality, spatial-temporal coherency, and secular change of the relationship between El Niño-Southern Oscillation (ENSO) and Asian precipitation (AP). We find an abrupt seasonal reversal of the AP-ENSO relationship occurring from October to November in a large area of Asia north of 208N due to a rapid northward shift of the ENSO-induced subsidence from Indonesia to the Philippines. We identified six subregions that have significant correlations with ENSO over the past 116 years with jrj. 0.5 (p, 0.001). Regardless of the prominent subregional differences, the total amount of AP during a monsoon year (from May to the next April) shows a robust response to ENSO with r 5 20.86 (1901-2017), implying a 4.5% decrease in the total Asian precipitation for 18 of SST increase in the equatorial central Pacific. Rainfall in tropical Asia (Maritime Continent, Southeast Asia, and India) shows a stable relationship with ENSO with significant 31-yr running correlation coefficients (CCs). However, precipitation in North China, the East Asian winter monsoon front zone, and arid central Asia exhibit unstable relationships with ENSO. Since the 1950s, the AP-ENSO relationships have been enhanced in all subregions except over India. A major factor that determines the increasing trends of the AP-ENSO relationship is the increasing ENSO amplitude. Notably, the AP response is asymmetric with respect to El Niño and La Niña and markedly different between the major and minor ENSO events. The results provide guidance for seasonal prediction and a metric for assessment of climate models' capability to reproduce the Asian hydroclimate response to ENSO and projected future change.

Original languageEnglish
Pages (from-to)2779-2792
Number of pages14
JournalJournal of Climate
Volume33
Issue number7
DOIs
StatePublished - Mar 2020
Externally publishedYes

Funding

Acknowledgments. This work is supported by the National Science Foundation (Climate Dynamics Division) Award AGS-1540783, the National Natural Science Foundation of China (Grant 41420104002), and the National Key Research and Development Program of China (Grant 2016YFA0600401). This is IPRC Publication Number 1421, SOEST Publication Number 10881, and ESMC Publication Number 298. This work is supported by the National Science Foundation (Climate Dynamics Division) Award AGS-1540783, the National Natural Science Foundation of China (Grant 41420104002), and the National Key Research and Development Program of China (Grant 2016YFA0600401). This is IPRC Publication Number 1421, SOEST Publication Number 10881, and ESMC Publication Number 298.

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