On the Two Successive Supercold Waves Straddling the End of 2020 and the Beginning of 2021

Bueh, Cholaw; Jingbei, Peng; Lin, D.; Chen, Bomin

doi:10.1007/s00376-021-1107-x

Cited by 33 publications

(13 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Section: Introductionmentioning

confidence: 99%

“…In addition to damage due to the rapid chilling, strong winds are another important type of disaster associated with CWEs (Qian and Zhang, 2007;Fu et al, 2012;Bueh et al, 2022). A 46year statistical study by Qian and Zhang (2007) reported a wide range of CWE-associated strong winds in China, with a mean annual frequency of 20-70 days.…”

Section: Introductionmentioning

confidence: 99%

“…In late December 2020, China experienced a serious CWE (Figure 1; Mu et al, 2022;Bueh et al, 2022). During this event, the surface temperatures measured at 20 national meteorological stations reached or fell below their respective local historical low temperatures for December (Bueh et al, 2022). Among these, the observed temperatures at the Taiyuan (Shanxi Province) and Hengshan (Hunan Province) stations dropped to -20.6 °C and -15.9 °C, respectively, breaking their record lowest temperatures (Bueh et al, 2022;Mu et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Evolutionary mechanisms of the strong winds associated with an intense cold wave event and their effects on the wind power production

Zeng

et al. 2023

Front. Earth Sci.

View full text Add to dashboard Cite

Cold wave events (CWEs) often cause major economic losses and serious casualties in the cold seasons, making CWEs among the most significant types of disastrous weather. Previous studies have mainly focused on disasters due to abrupt drops in surface temperatures, with less discussion of the strong winds associated with CWEs. Based on an intense CWE that occurred in late December 2020, we investigated the evolutionary mechanisms of the associated strong winds in terms of kinetic energy (KE) budget and evaluated the effects of this CWE on wind power production based on quantitative comparisons with the mean state. The results showed that the CWE occurred under favorable background conditions, which were characterized by a southward-moving transversal trough and a southeastward-moving shortwave trough in the middle troposphere. The surface high ridge that formed around Lake Baikal and the cold front around the southern periphery of the ridge were key factors related to the CWE evolution. The positive work carried out on the horizontal wind by the pressure gradient force that linked a lower tropospheric high-pressure ridge inland and a low-pressure trough offshore and the downward momentum transportation due to the descending motions behind the cold front dominated the enhancement and sustainment of the CWE-associated strong winds. The CWE contributed to wind power production by 1) increasing the wind power density (by an average of ∼1.05-fold) and 2) improving the availability of the wind to generate power, as it reduced the percentage of zero wind power generation by ∼6.4%, while maintaining the high-wind-velocity cut-out percentage.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Evolutionary mechanisms of the strong winds associated with an intense cold wave event and their effects on the wind power production

Zeng

et al. 2023

Front. Earth Sci.

View full text Add to dashboard Cite

show abstract

“…The southward intrusion of a cold surge often results in strengthening of the nearsurface northerly wind and an abrupt temperature drop in the subtropical region of East Asia, including southern China (Chang et al, 1979;Wu and Chan, 1995). Although the winter climate in southern China is warmer than the northern China, the severe cold air activity occurs in southern China occasionally, such as the persistent icy rain and snowstorms in early 2008 (Ding et al, 2008;Tao and Wei, 2008;Wen et al, 2009;Zhou et al, 2009), the "once-in-the-century" cold surge in late January 2016 (Cheung et al, 2016;Ma and Zhu, 2019;Yamaguchi et al, 2019) and the intense cold surges in late 2020 (Bueh et al, 2022;Dai et al, 2022;Zheng et al, 2022). Under the global warming background, the frequency of cold extremes is projected to substantially decrease [Seneviratne et al, 2021 (Ch.…”

Section: Introductionmentioning

confidence: 99%

Distinct Mid-Latitude Eurasian Rossby Wave Trains Preceding Strong and Weak Cold Surges in Southern China

Lin

Cheung

2022

Front. Earth Sci.

View full text Add to dashboard Cite

This study investigates the large-scale circulation anomalies of strong and weak cold surges in southern China. Results show that the strong and weak surges are associated with a distinct Rossby wave train across Eurasia projecting onto the Scandinavia (SCAND) and Eurasian (EU) patterns. On one hand, the strong surge is preceded by a positive SCAND pattern and a transition of the EU pattern from its negative to positive phase. The corresponding wave train propagates southeastward from East Asia to the North Pacific. This is associated with a strong intensification of the Siberian high, a deepened East Asian trough, and a sharp meridional pressure gradient between northern and southern China; these advect intense cold air masses from Siberia to southern China. On the other hand, the weak surge is preceded by a negative SCAND pattern and a positive EU pattern. The corresponding wave train does not propagate from East Asia to the North Pacific. This wave train has a weak impact on the East Asian winter monsoon circulation and corresponds to weak cold air advections towards southern China. Overall, the intra-seasonal variation of the Eurasian teleconnection patterns is crucial for a comprehensive understanding of the cold surge in southern China.

show abstract

“…and eastern China. Studies have shown that the continuous 2020/21 cold wave events were closely related to the continued northerly position of the UBH and the phase change of AO(Bueh et al, 2022;Yao et al, 2022; Dai et al, 2022…”

mentioning

confidence: 99%

Realistic ocean initial condition for stimulating the successful prediction of extreme cold events in the 2020/2021 winter

Zheng

Ren

Lin³

et al. 2022

Clim Dyn

View full text Add to dashboard Cite

In the rst half of winter 2020/21, several unprecedented cold events occurred in most parts of China and caused record-breaking low temperatures in many cities. However, seasonal predictions related to the onset and evolution of extreme cold events are still challenging. In this study, we rst evaluated the shortterm climate prediction skills in winter of the CAS-ESM-c global coupled model and revealed the key dynamic processes of the onset and development of 2020/21 extreme cold events based on ensemble forecasts starting on October 1, 2020. Under an indispensable background provided by the synergistic effect of the warm Arctic and the cold tropical Paci c (La Niña), the model captured the abnormal meridional atmospheric pattern well, including the intensi cation of the Ural Blocking High and the negative phase of the Arctic Oscillation, forecasted the negative geopotential height anomalies over the eastern Asia region, and nally, successfully predicted the outbreak of cold waves in December 2020 two months in advance. The dominant differences in the initial ocean elds between the best and the worst forecast members were further compared to isolate the triggering factor for predicting cold events by CAS-ESM-c. The initial warm sea surface temperature over the Barents Sea can gradually form a meridional pattern between the warm Arctic and the cold Asian continent, which could lead to a reduction in the large-scale meridional temperature gradient at mid-high latitudes and weaken the atmospheric baroclinicity; these are conditions that are more conducive to the southward outbreak of cold waves, highlighting that realistic Arctic ocean conditions in autumn can be reasonably assimilated into coupled models to stimulate the successful prediction of extreme cold events in the 2020/21 winter.worst member at the 500-hPa geopotential height anomalies in October and November 2020.

show abstract

On the Two Successive Supercold Waves Straddling the End of 2020 and the Beginning of 2021

Cited by 33 publications

References 32 publications

Evolutionary mechanisms of the strong winds associated with an intense cold wave event and their effects on the wind power production

Evolutionary mechanisms of the strong winds associated with an intense cold wave event and their effects on the wind power production

Distinct Mid-Latitude Eurasian Rossby Wave Trains Preceding Strong and Weak Cold Surges in Southern China

Realistic ocean initial condition for stimulating the successful prediction of extreme cold events in the 2020/2021 winter

Contact Info

Product

Resources

About