Preprints
https://doi.org/10.5194/hess-2022-217
https://doi.org/10.5194/hess-2022-217
 
09 Sep 2022
09 Sep 2022
Status: this preprint is currently under review for the journal HESS.

Development of a novel daily-scale compound dry and hot index and its application across non-arid regions of China

Huimin Wang1, Gengxi Zhang2, Shuyu Zhang3, Xiaoling Su1, Songbai Song1, Lijie Shi2, Kai Feng4, and Xiaolei Fu2 Huimin Wang et al.
  • 1College of Water Resources and Architectural Engineering, Northwest A & F University, Yangling 712100, China
  • 2College of Hydraulic Science and Engineering, Yangzhou University, Yangzhou 225012, China
  • 3School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
  • 4College of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, China

Abstract. Drought and heat extremes often occur simultaneously or sequentially within a short period, named compound dry and hot events (CDHEs), enhancing damages caused by individual drought or heat extremes. Under global warming, occurrences of short-term CDHEs have increased, adversely impacting the ecosystem and society. However, current indicators generally monitor CDHEs at monthly scales, which cannot reflect short-term CDHEs. This study proposes a novel daily-scale compound dry and hot index (DCDHI) by jointing daily Standardized Moisture Anomaly Index (SZI) and Standardized Temperature Index (STI) using Copula. The applicability of daily SZI and DCDHI indices in monitoring droughts and CDHEs is verified across non-arid regions of China. The daily SZI agrees better with soil moisture variations than the Standardized Precipitation Index (SPI) and Standardized Precipitation and Temperature Index (SPEI) at multiple time scales, indicating it can be applied to construct daily DCDHI for detecting compound dry and hot events. The DCDHI can detect spatial evolutions of dry and hot conditions within a month and reflects vegetation losses, indicating the DCDHI is a good indicator for detecting compound CDHEs at different time scales (daily to monthly). The characteristics of CDHEs during growing seasons (April to October) are also investigated from 1961 to 2021. There is a significant increase in the area affected by CDHEs, which occur more frequently for the period of 1990–2021 than 1961–1989. The severity of compound dry and hot events decreases from the period 1961–1989 to 1990–2021 in northern regions but increases in southern especially southwestern regions. More extreme compound dry and hot events are more likely to occur under global warming. The new tool proposed in this study could detect evolutions and characteristics of short-term CDHEs and provide technical support for the risk management of extreme events.

Huimin Wang et al.

Status: open (until 04 Nov 2022)

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Huimin Wang et al.

Huimin Wang et al.

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Short summary
A significant increasing trend of compound dry and hot events has been reported in many regions under global warming. However, most of the proposed indices are based on monthly meteorological data and cannot monitor short-term events timely. This study proposes a novel daily-scale compound dry and hot index by jointing daily drought index and heat index. This index can detect spatial evolutions of dry and hot conditions and reflects vegetation losses, indicating its applicability.