Heavy Southern China Spring Rainfall Promoted by Multi‐Year El Niño Events

Zhong, Wenxiu; Wu, Yuting; Yang, Song; Ma, Tianjiao; Cai, Qingyu; Liu, Qian

doi:10.1029/2022gl102346

Cited by 13 publications

(3 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The considerable increases in algal bloom intensity and affected areas align well with the patterns observed for precipitation, SST, and the MEI index (between December and April) after the El Ninõ events. One mechanism that may be responsible for this is that El Ninõ events generate higher SST and promote precipitation in Southern China during spring, 83 which results in favorable temperatures for algae growth and enhanced nutrient transport to the sea.…”

Section: Driving Forces Of Algal Blooms Expansionmentioning

confidence: 99%

Spatiotemporal Expansion of Algal Blooms in Coastal China Seas

Zeng,

Gokul,

et al. 2024

Environ. Sci. Technol.

View full text Add to dashboard Cite

The coastal seas of China are increasingly threatened by algal blooms, yet their comprehensive spatiotemporal mapping and understanding of underlying drivers remain challenging due to high turbidity and heterogeneous water conditions. We developed a singular value decomposition-based algorithm to map these blooms using two decades of MODIS-Aqua satellite data, spanning from 2003 to 2022. Our findings indicate significant algal activity along the Chinese coastline, impacting an average annual area of approximately 1.8 × 10 5 km 2 . The blooms exhibit peak intensity in August, while the maximum affected area occurs in September, featuring multifrequency outbreaks in spring, and pronounced large-scale events in summer and autumn. Notably, our analysis demonstrates a robust 67% increase in bloom occurrences over the study period. This expansion is primarily attributed to increased nutrient inflow from terrestrial sources linked to human activity and precipitation, compounded by rising global sea surface temperatures. These spatiotemporal insights are critical for devising effective management strategies and policies to mitigate the impacts of algal blooms.

show abstract

Section: Driving Forces Of Algal Blooms Expansionmentioning

confidence: 99%

Spatiotemporal Expansion of Algal Blooms in Coastal China Seas

Zeng,

Gokul,

et al. 2024

Environ. Sci. Technol.

View full text Add to dashboard Cite

show abstract

“…On the global scale, compound weather and climate events, a spatial or temporal combination of multiscale natural hazards related to precipitation and temperature extremes, have posed notably non-negligible climate risks (Feng et al, 2022;Ridder et al, 2020;Zscheischler et al, 2018Zscheischler et al, , 2020Zscheischler & Seneviratne, 2017). In particular, a combination of meteorological droughts, extreme precipitations, heatwaves or cold surges has recently drawn much attention, with the increasingly terrible social-economic impacts of global warming (Chiang et al, 2021;Mazdiyasni & AghaKouchak, 2015;Mukherjee & Mishra, 2021;Vogel et al, 2020) and the modulation of multiscale El Niño/La Niña events (Wang et al, 2021(Wang et al, , 2023aZhong et al, 2023). Previous studies have investigated at least two specific categories as follows.…”

Section: Introductionmentioning

confidence: 99%

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

View full text Add to dashboard Cite

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.

show abstract

“…Over the last two decades, there has been a one‐to‐one correspondence between winter SCS extreme warmth and extreme WBC weakening (Q. Wang et al., 2021). These unusual SCS warm states can trigger extreme winter rainfall events in Southern China, either jointly with El Niño events or independently (Q. Wang et al., 2018, 2022; Zhong et al., 2023; Zhou et al., 2010).…”

Section: Introductionmentioning

confidence: 99%