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How Well Does the ERA5 Reanalysis Capture the Extreme Climate Events Over China? Part II: Extreme Temperature

Xu, Wanling; Lei, Xiangyong; Chen, Shiting; Yu, Tingting; Hu, Zengyun; Zhang, Meng; Jiang, Lizhi; Bao, Ruijuan; Guan, Xiaojun; Ma, Miaomiao; Wei, Jianhui ORCID iD icon 1; Gao, Lu ; Feng, Aixia
1 Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU), Karlsruher Institut für Technologie (KIT)

Abstract:

The fifth-generation atmospheric reanalysis of the European Center for Medium-Range Weather Forecasts (ERA5) is the latest reanalysis product. However, the reliability of ERA5 to capture extreme temperatures is still unclear over China. Hence, based on conventional meteorological station data, a new criterion (DISO) was used to validate the ERA5 capturing extreme temperature indices derived from the Expert Team on Climate Change Detection and Indices (ETCCDI) across the six subregions of China on different timescales. The conclusions are as follows: the original daily temperatures (mean temperature, maximum temperature, and minimum temperature) can be well reproduced by ERA5 reanalysis over China. ERA5 tends to exhibit more misdetection for the duration of extreme temperature events than extreme temperature intensity and frequency. In addition, ERA5 performed best in the summer and worst in the winter, respectively. The trend of absolute indices (e.g., TXx and TNx), percentile-based indices (e.g., TX90p, TX10p, TN90p, and TN10p), and duration indices (e.g., WSDI, CSDI, and GSL) can be captured by ERA5, but ERA5 failed to capture the tendency of the diurnal temperature range (DTR) over China. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000149226
Veröffentlicht am 01.08.2022
Originalveröffentlichung
DOI: 10.3389/fenvs.2022.921659
Scopus
Zitationen: 27
Web of Science
Zitationen: 18
Dimensions
Zitationen: 27
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2022
Sprache Englisch
Identifikator ISSN: 2296-665X
KITopen-ID: 1000149226
HGF-Programm 12.11.33 (POF IV, LK 01) Regional Climate and Hydrological Cycle
Erschienen in Frontiers in Environmental Science
Verlag Frontiers Media SA
Band 10
Seiten Art.-Nr.: 921659
Vorab online veröffentlicht am 27.06.2022
Nachgewiesen in Scopus
Web of Science
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