The BaSIC method: a new approach to quantitatively assessing the local predictability of extreme weather events

Li, Xuan; Ding, Ruiqiang; Li, Minglu

doi:10.1007/s00382-022-06526-4

Cited by 2 publications

(1 citation statement)

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“…In the present study, SPAI 90d or 30d and STAI 90d or 30d , that is, SAI of 90‐ and 30‐day precipitation and 2‐m air temperature, are used to describe meteorological droughts and concurrent near‐surface temperature anomalies at seasonal and monthly scales. Meanwhile, the traditional percentile‐based indices are usually employed to describe the anomaly degrees of synoptic extremes, such as extreme precipitations (Wang et al, 2022), heat waves (Fang & Lu, 2020; Li et al, 2023; Vogel et al, 2020; Wang et al, 2013, 2016) and cold surges (Dai et al, 2022; Li et al, 2022; Zhang et al, 2022a) on historical records. Therefore, the present study also provides percentile‐based indices (e.g., P ExtrePreci,1d , P Heat,1d and P Cold,1d ) prepared for the detection of synoptic extremes.…”

Section: Methodsmentioning

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

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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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