Spatiotemporal Evolution Patterns of Contiguous Extreme Precipitation Events Across China From a 3D Perspective

Wang, Xiaoyu; Luo, Ming; Wu, Siyuan; Ning, Guicai; Liu, Zhen; Wang, Shigong; Wang, Peng; Zhang, Hui; Li, Xiang

doi:10.1029/2022gl098840

Cited by 9 publications

(13 citation statements)

References 64 publications

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“…Previous studies confirmed that Western Pacific Subtropical High (WPSH), EAM, and South Asian Monsoon (SAM) exerted substantial effects on the heavy rainfall patterns of the eastern, central, and western Sichuan Basin, respectively (Hu et al, 2009;T. Gao et al, 2019;Wang et al, 2022aWang et al, , 2022bWang et al, , 2022c. Besides, due to the unique topography, locations, and complex interaction of diverse climate factors, urbanization showed less effects on the aggravation of drought in urban areas in GZ.…”

Section: Future Directionmentioning

confidence: 90%

“…Meanwhile, under climate change and global warming, urban regions also face disproportionately increasing risk of meteorological and hydrological hazards such as heat stress and floods (L. Chen et al., 2019; Gonzalez & Niyogi, 2021; S. Huang et al., 2021; S. Huang, Zhang, Chen, Ma, Fu, et al., 2022; S. Huang, Zhang, Chen, Ma, Zeng, et al., 2022; S. Huang et al., 2022; X. Huang et al., 2022; X. Zhang et al., 2019). As a result, extensive efforts have been underway toward a more in‐depth and comprehensive understanding of urbanization effects on the local water cycle and climate (Chao et al., 2020; Debbage & Shepherd, 2018; Kishtawal et al., 2011; Nguyen et al., 2022; P. Wang et al., 2022; S. Wang et al., 2022; X. Wang et al., 2022). One focus has been on quantifying the urban‐induced changes in precipitation concerning its intensity, frequency, and spatio‐temporal patterns (Doan et al., 2021; Gu et al., 2019; S. Huang, Zhang, Chen, Ma, Fu, et al., 2022; S. Huang, Zhang, Chen, Ma, Zeng, et al., 2022; S. Huang et al., 2022; J. Liu & Niyogi, 2019; Luo & Lau, 2021; Niyogi et al., 2011; Wang et al., 2021; Yu et al., 2022).…”

Section: Introductionmentioning

confidence: 99%

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Urbanization Amplified Asymmetrical Changes of Rainfall and Exacerbated Drought: Analysis Over Five Urban Agglomerations in the Yangtze River Basin, China

et al. 2023

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Urbanization has become a prominent anthropogenic activity globally, resulting in the substantial modification of temperature and rainfall in and around urban areas. Studies also indicate that rainfall exhibits an asymmetrical shift from light to extreme rainfall, causing both floods and droughts over different parts of the globe. However, to what extent urbanization influences the asymmetrical changes in rainfall and urban drought remains understudied. Accordingly, we provided an investigation of the urbanization effects on both rainfall and drought events from both statistical and model‐based perspectives. Results showed that urbanization generally increased heavy rainfall and decreased light rainfall in the rainy season over five urban agglomerations (i.e., Yangtze River Delta [YRD], Middle Region of Yangtze River [MRYR], Chengdu‐Chongqing, Guizhou, and Yunnan) in the Yangtze River Basin during 1981–2020. Specifically, urbanization contributed 42.7% and 30.8% of the increases of heavy rainfall in MRYR and YRD while 30.6% contribution to the decrease of light rainfall. Interestingly, results suggested that the urban regions were more prone to drought due to urbanization. Nevertheless, we also found that the urbanization effects showed some variabilities across different areas due to the interactions with complex terrains and climate patterns. Further model‐based simulations using the Weather Research and Forecasting model confirmed our findings and helped understand the potential underlying mechanism. The current research is expected to provide scientific knowledge for better urban planning and preparedness for urbanization‐induced hazards.

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Section: Future Directionmentioning

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Urbanization Amplified Asymmetrical Changes of Rainfall and Exacerbated Drought: Analysis Over Five Urban Agglomerations in the Yangtze River Basin, China

et al. 2023

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“…The moving patterns of contiguous heatwaves are derived from the centroids of their 3D structure. The moving distance and speed are calculated according to the daily intensity-weighted average of geographical coordinates (i.e., latitude and longitude), while the direction is estimated as the displacement of the weighted centroids (i.e., divided by temporal extent) from the front to the rear half of the event 17,21 . We study all heatwave events with a lifetime ≥3 days to include more heatwave samples in contrast to the investigation of only large contiguous heatwaves with areal extent ≥1 million km 2 in Luo et al 17 .…”

Section: Methodsmentioning

confidence: 99%

“…In our study, a 26-neighborhood connection is employed when labeling (Fig. 1b), i.e., for the center grid on day t, 9 neighbors on day t-1, 8 neighbors on day t, and 9 neighbors on day t+1 17,21,63 . The 26-connectivity spatiotemporally contiguous events tracking (SCET) based on the CC3D algorithm takes into consideration heatwave grids that share adjacent spatiotemporal connectivity, so that the 3D evolution patterns (e.g., growing and diminishing) of heatwaves can be examined in both time and space.…”

Section: Identification Of Spatiotemporally Contiguous Heatwavesmentioning

confidence: 99%

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Two different propagation patterns of spatiotemporally contiguous heatwaves in China

et al. 2022

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Heatwaves detrimentally affect human health and ecosystems. While previous studies focused on either temporal changes or spatial extents of heatwaves, their spatiotemporal contiguity and propagation patterns are unclear. Here, we investigate the climatology, long-term trends, and interannual variations of spatiotemporally contiguous heatwaves across China during 1961 to 2018. Two distinct propagation patterns are identified by introducing a spatiotemporally contiguous events tracking (SCET) method and the k-means clustering. Type 1 contiguous heatwaves mostly generate over eastern China and move southwestward at shorter distances, while Type 2 heatwaves generally initiate over western China and move southeastward at longer distances, with stronger intensity, longer lifetime, and larger coverage. Since the 1960s, both types exhibit significant increases in frequency, intensity, coverage, lifetime, and traveling distances, with relatively larger magnitudes for Type 2, but significant decreases in moving speed only appear for Type 1. On interannual timescale, preceding winter El Niño prolongs the duration and slows down the moving speed of Type 1 through the western North Pacific subtropical high. Type 2 contiguous heatwaves are intensified by the negative spring North Atlantic Oscillation via the upper-atmospheric Rossby wave train.

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Glo3DHydroClimEventSet(v1.0): A global‐scale event set of hydroclimatic extremes detected with the 3D DBSCAN‐based workflow (1951–2022)

Liu,

Zhou

2023

Intl Journal of Climatology

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The emergency of global‐scale hydroclimatic extremes (i.e., meteorological droughts, extreme precipitations, heat waves and cold surges) and associated compound events has recently drawn much attention. A global‐scale unified and comprehensive event set with accurate information on spatiotemporal evolutions is necessary for better mechanism understanding and reliable predictions in sequential studies. Accordingly, this manuscript describes the first‐generation global event‐based database of hydroclimatic extremes produced with the newly proposed 3D (longitude–latitude–time) DBSCAN‐based workflow of event detection. The short name of this database is Glo3DHydroClimEventSet(v1.0), which is obtained from the FigsharePlus webpage (https://doi.org/10.25452/figshare.plus.23564517). The 1951–2022 ERA5‐based multiscale and multi‐threshold daily running datasets of precipitation and near‐surface air temperature are calculated and employed as the input data. A comprehensive event set of hydroclimate extremes is the output of the 3D DBSCAN‐based workflow. From perspectives of spatiotemporal evolutions, this event‐based database is also measured and attached with metric information. For case‐based validation, some recently reported hydroclimatic extremes (e.g., the 2020 summertime flood‐inducing Yangtze River extreme precipitation event) are employed and accurately detected in the Glo3DHydroClimEventSet(v1.0) database. Meanwhile, global‐scale spatiotemporal distributions are preliminarily analysed. For example, global‐scale event counts of extreme heatwaves displayed an increasing tendency since 2005, with a rapid increase after 2010. To sum up, this Glo3DHydroClimEventSet(v1.0) database may facilitate new scientific achievements concerning event‐based hydroclimatic extremes, especially in communities of atmosphere, hydrology, natural hazards and associated socioeconomics.

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Spatiotemporal Evolution Patterns of Contiguous Extreme Precipitation Events Across China From a 3D Perspective

Cited by 9 publications

References 64 publications

Urbanization Amplified Asymmetrical Changes of Rainfall and Exacerbated Drought: Analysis Over Five Urban Agglomerations in the Yangtze River Basin, China

Urbanization Amplified Asymmetrical Changes of Rainfall and Exacerbated Drought: Analysis Over Five Urban Agglomerations in the Yangtze River Basin, China

Two different propagation patterns of spatiotemporally contiguous heatwaves in China

Glo3DHydroClimEventSet(v1.0): A global‐scale event set of hydroclimatic extremes detected with the 3D DBSCAN‐based workflow (1951–2022)

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