Combined Impacts of Climate Variability Modes on Seasonal Precipitation Extremes Over China

Gao, Tao; Xu, Yifei; Wang, Huixia Judy; Sun, Qing; Xie, Lian; Cao, Fang

doi:10.1007/s11269-022-03150-z

Cited by 7 publications

(2 citation statements)

References 53 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Extreme precipitation in China is strongly impacted by several LFO indices, including El Niño-Southern Oscillation (ENSO) (Fu et al, 2013;Lv et al, 2019;Zhang et al, 2017), Indian Ocean Dipole (IOD) (Saji and Yamagata, 2003;Xiao et al, 2016;Gao et al, 2017), NAO (W. Gu et al, 2009), Pacific Decadal Oscillation (PDO) (Gao et al, 2017;Sang et al, 2020), and Southern Annular Mode (SAM) (Gao et al, 2022). Precipitation in China is basically constrained by the East Asian monsoon, under the significant influence of ENSO (Chen et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

“…Precipitation in China is basically constrained by the East Asian monsoon, under the significant influence of ENSO (Chen et al, 2013). Many studies have shown an association between seasonal precipitation and the positive/negative phase of ENSO in China (Gong and Wang, 1999;Chan and Zhou, 2005;Xiao et al, 2015;Gao et al, 2022). Gu et al (2017a) showed that SOI, NAO, PDO and IOD had certain effects on the incidence of intense precipitation.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The role of teleconnection in the occurrence probability of extreme precipitation over China based on extreme value theory

Kang

Min

Dai

et al. 2022

Front. Environ. Sci.

View full text Add to dashboard Cite

Non-stationarity of extreme climate events has been reported worldwide in recent decades, and traditional stationary analysis methods are no longer sufficient to properly reveal the occurrence probability of climate extremes. Based on the 0.25°C × 0.25°C gridded precipitation data (i.e., CN05.1), stationary and non-stationary models of generalized extreme value (GEV) and generalized Pareto (GP) distributions are adopted to estimate the occurrence probability of extreme precipitation over China during 1961–2018. Low-frequency oscillation (LFO) indices, such as El Niño-Southern Oscillation (ENSO), Indian Ocean Dipole (IOD), North Atlantic Oscillation (NAO), Southern Annular Mode (SAM), and Pacific Decadal Oscillation (PDO), are included as time-varying covariates in the non-stationary GEV and GP models. Results illustrate that the occurrence probability of extreme precipitation estimated from the stationary GEV and GP distributions shows a significant increasing trend in northwestern and southeastern China, and the opposite trend in southwestern, central, and northeastern China. In comparison with stationary model, the fitness of extreme precipitation series is improved for both the GEV and GP distributions if these LFO indices are used as time-varying covariates. Positive ENSO, IOD and PDO tend to cause negative anomalies in the occurrence probability of extreme precipitation in northeastern China and Tibet Plateau, and positive anomalies in southern China. Positive NAO and SAM phases mainly tend to cause positive anomalies in southern China. The circulation patterns of extreme precipitation anomalies associated with these LFO indices are discussed from aspects of precipitable water, vertical integrated moisture transport, 500-hPa geopotential height and 850-hPa wind field.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The role of teleconnection in the occurrence probability of extreme precipitation over China based on extreme value theory

Kang

Min

Dai

et al. 2022

Front. Environ. Sci.

View full text Add to dashboard Cite

show abstract

Impact of individual and combined influence of large-scale climatic oscillations on Indian summer monsoon rainfall extremes

2022

View full text Add to dashboard Cite

The influence of El Niño on springtime synoptic-scale precipitation extremes in Southeastern China: insights from CMIP6 model simulations

Cao,

Tam,

2024

Clim Dyn

View full text Add to dashboard Cite

This study focuses on El Niño impacts on springtime extreme precipitation in Southeastern China (SEC) by comparing observations with data from the Coupled Model Intercomparison Project phase 6 (CMIP6) historical runs. Observational and simulated results suggest that synoptic-scale temperature advection patterns over East Asia (EA) are closely associated with extreme precipitation in SEC, encompassing the Pearl River Basin (PRB), Yangtze River Basin (YRB), and Huaihe River Basin (HRB). Based on this, we introduce a temperature advection index (TAI) tailored to capture the cold-warm temperature advection dipole, which shows a significant positive correlation with SEC precipitation. Both observations and CMIP6 indicate that TAI-related circulations, characterized by upper-level synoptic-scale waves and a north–south oriented temperature gradient over EA, are conducive to extreme precipitation in northern PRB (NPRB)–YRB–HRB. However, the TAI-related synoptic-scale activities have a lesser impact on extreme precipitation in southern PRB (SPRB), as these disturbances mainly affect the mid-latitude weather. Further investigation reveals that during boreal spring following El Niño, 85% of extreme events in YRB–HRB are associated with positive TAI values, compared to 76% under climatological conditions. However, such a change in the association with TAI is not evident in CMIP6 simulations. From observations, atmospheric baroclinicity along the East Asian westerly jet is enhanced during El Niño, which promotes the development of TAI-related synoptic-scale disturbances. In contrast, CMIP6 models struggle to reproduce these observed baroclinicity signals during El Niño. This challenge arises from the background westerly jet bias and mean-state cold tongue bias in tropical Pacific temperature in models.

show abstract

Combined Impacts of Climate Variability Modes on Seasonal Precipitation Extremes Over China

Cited by 7 publications

References 53 publications

The role of teleconnection in the occurrence probability of extreme precipitation over China based on extreme value theory

The role of teleconnection in the occurrence probability of extreme precipitation over China based on extreme value theory

Impact of individual and combined influence of large-scale climatic oscillations on Indian summer monsoon rainfall extremes

The influence of El Niño on springtime synoptic-scale precipitation extremes in Southeastern China: insights from CMIP6 model simulations

Contact Info

Product

Resources

About