Revealing the Circulation Pattern Most Conducive to Precipitation Extremes in Henan Province of North China

Zhang, Sihan; Chen, Yangruixue; Luo, Yali; Liu, Bo; Ren, Guoyu; Zhou, Tianjun; Martinez‐Villalobos, Cristian; Chang, Mei-Yu

doi:10.1029/2022gl098034

Cited by 31 publications

(27 citation statements)

References 34 publications

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“…Moreover, the WPSH is associated with ocean signals such as ENSO and the Pacific Decadal Oscillation [66][67][68], which, depending on their phase, can affect the formation pattern of TCs. In addition, large-scale circulation can transport moisture from TCs and interact with high-latitude weather systems, resulting in remote rainfall from TCs and extreme rainfall locally, such as the extreme rainfall events in July 2021 in Henan-one of the most populated provinces in China [69,70].…”

Section: Discussionmentioning

confidence: 99%

Changes in extreme rainfall over mainland China induced by landfalling tropical cyclones

Ren²,

Zhang³

et al. 2022

Environ. Res. Commun.

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Landfalling tropical cyclones (LTCs) is one of the most serious meteorological disasters in China due to the provided severe wind and heavy rainfall. Tropical cyclone–induced rainfall in China has been proved to decrease in recent decades. However, how landfalling tropical cyclone–induced extreme rainfall (LTCER) has changed across China, as well as the relationship between LTCER and LTCs remains poorly understood. Accordingly, the spatiotemporal distribution characteristics and long-term changes of LTCER over mainland China during the past 60 years were investigated, by using an Objective Synoptic Analysis Technique to identify LTCER. Mid and high latitudes are exposed to a greater risk of extreme rainfall from northward-moving landfalling tropical cyclones (LTCs). Meanwhile, LTCER tends to increase from 1960 to 2019 across mainland China (characterized by a decrease from 1960 to 1989 and an increase from 1990 to 2019). The LTCER trend exhibits a large spatial difference, with an increase near and to the north of 30°N, but no significant change to the south of 30°N. Moreover, the central latitude of the LTCER zone to the north of 30°N has shifted significantly southwards, while that to the south of 30°N has shifted north. Further analysis revealed that the average latitude of the LTC intensity centers to the north/south of 30°N exhibits the same shift to that of LTCER, indicating that the shift of LTCER has mainly been imposed by the migration of LTCs.

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Section: Discussionmentioning

confidence: 99%

Changes in extreme rainfall over mainland China induced by landfalling tropical cyclones

Ren²,

Zhang³

et al. 2022

Environ. Res. Commun.

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“…refers to E (East), W (West), S (South), N (North)] of the target region is expressed as follows (Nie & Sun, 2022;Xia et al, 2021;Zhang et al, 2022):…”

Section: Moisture Transportmentioning

confidence: 99%

Effects of Typhoon In-Fa (2021) and the Western Pacific Subtropical High on An Extreme Heavy Rainfall Event in Central China

Rao

Chen

Ran

2022

Preprint

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An extreme heavy rainfall event in Henan Province (HnHRE) of central China in July 2021, which is jointly affected by the western Pacific subtropical high (WPSH) and Typhoon In-Fa (2021), is comprehensively studied through five experiments conducted using the Weather Research and Forecasting Model (WRF). The patterns of the WPSH, In-Fa, and precipitation are well reproduced in the control experiment. In SH150 and SH050 (TC150 and TC050), the magnitudes of PV anomaly associated with the WPSH (In-Fa) is increased and decreased by 50% in the initial condition, respectively, based on the piecewise potential vorticity inversion (PPVI). The analysis shows that the 54-h rainfall accumulations in TC150 and TC050 are reduced by 37.2% and 35.1%, respectively, more than 28.1% in SH150 and 24.1% in SH050, indicating that Typhoon In-Fa plays a more critical role in the rainfall amplification than the WPSH. The WPSH and In-Fa majorly control the meridional and zonal moisture transports, respectively. The diagnosis of moist ageostrophic ω turns out that diabatic heating is closely related to the vertical motion during the HnHRE. Besides, the heavy rainfall region is also closely attributed to the distributions of other dynamical and thermal factors.

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“…Thereafter, the moisture converged mainly over Henan Province, where the topography is characterized by high mountains in the west (Taihang Mountains and the Funiu Mountains) and is thus favorable for ascending motion and corresponding heavy rainfall (Liang et al., 2022; Ran et al., 2021; Yin et al., 2022). Both strong ascending motion and abundant moisture supply were responsible for the occurrence of extreme flooding (Fu et al., 2022; S. Zhang et al., 2022). The regional numerical model, to some extent, can reproduce synoptic systems and extreme rainfall (X. Y. Wang et al., 2022; Yin et al., 2022).…”

Section: Introductionmentioning

confidence: 99%

Subseasonal Predictability of the July 2021 Extreme Rainfall Event Over Henan China in S2S Operational Models

2023

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Early warning and accurate forecasting of weather and climate extremes are critical to avoid natural disasters that damage human lives, especially in megacities. Heavy rainfall can engender widespread flooding, landslides or mudslides, and urban waterlogging, causing substantial economic losses and casualties (Blöschl et al., 2017;Field et al., 2012;Gariano & Guzzetti, 2016). The warning of extreme rainfall is largely determined by the effective leading time of dynamical forecasting systems. While numerical weather prediction (NWP) is an indispensable tool for handling extreme rainfall events, forecasting on the subseasonal-to-seasonal (S2S) time scale (10-90 days) may add the value of advance warning to better preparedness and emergency measures (Merz et al., 2020;White et al., 2022).The S2S prediction project releases operational forecasts and reforecasts, with particular emphasis on high-impact weather events (Vitart et al., 2017), which provide a valuable tool for risk management and communication with

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Revealing the Circulation Pattern Most Conducive to Precipitation Extremes in Henan Province of North China

Cited by 31 publications

References 34 publications

Changes in extreme rainfall over mainland China induced by landfalling tropical cyclones

Changes in extreme rainfall over mainland China induced by landfalling tropical cyclones

Effects of Typhoon In-Fa (2021) and the Western Pacific Subtropical High on An Extreme Heavy Rainfall Event in Central China

Subseasonal Predictability of the July 2021 Extreme Rainfall Event Over Henan China in S2S Operational Models

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