Dataset of Compound Dry-Hot Event Indicators for Northwest China Based on Daily SPEI
WANG Dai1LI Xin*1WANG Suyan1ZHANG Wen1,2BAO Ruijuan2
1 Climate Center of Ningxia Hui Autonomous Region，Yinchuan 750002，China2 Fujian Key Laboratory of Disaster Weather & Open Key Laboratory of Strait Disaster Weather，China Meteorological Administration，Fuzhou 350000，China
DOI:10.3974/geodb.2026.06.08.V1
Published:June 2026
Visitors：155 Data Files Downloaded：2
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Key Words：
Standardized Precipitation Evapotranspiration Index (SPEI), extreme high temperature threshold, Northwest China, compound dry-hot event index
Abstract：
The dataset of Compound Dry-Hot Event Indicators for Northwest China Based on Daily SPEI was developed by calculating the daily Standardized Precipitation Evapotranspiration Index (SPEI) and combining daily maximum temperature thresholds derived via a moving window calculation to identify compound dry-hot events, defined as concurrent drought and high-temperature occurrences persisting for three or more consecutive days. The dataset contains information of compound dry-hot events from May to October during 1962-2020 at 265 national meteorological observation stations, including the start and end dates, duration of each event, as well as the intensity of high-temperature episodes, drought episodes and integrated compound dry-hot events throughout the event period. The dataset is archived in .txt data format, and consists of 265 data files with data size of 301 KB (compressed into one file with 318 KB).
Foundation Item：
National Natural Science Foundation of China (42265006); Key Laboratory of Disaster Weather in Fujian Province (2025KFKT09); Ningxia Hui Autonomous Region (2025); China Meteorological Administration (CXFZ2023J052)；
Data Citation：
WANG Dai, LI Xin*, WANG Suyan, ZHANG Wen, BAO Ruijuan. Dataset of Compound Dry-Hot Event Indicators for Northwest China Based on Daily SPEI[J/DB/OL]. Digital Journal of Global Change Data Repository, 2026. https://doi.org/10.3974/geodb.2026.06.08.V1. .
References：
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[2] Vicente-Serrano S. M., Begueria S., Lopez-Moreno J. I.. A multiscalar drought index sensitiveto global warming: The standardized precipitation evapotranspiration index [J]. Journal of Climate, 2010, 23(7): 1696-1718.
[3] Zhang, Q., Zou, X. K., Xiao, F. J., et al. GB/T 20481-2006. Grades of meteorological drought [S]. Beijing: China Standards Press, 2006.
[4] Russo, S., Dosio, A., Graversen, R. G., et al. Magnitude of extreme heat waves in present climate and their projection in a warming world [J]. Journal of Geophysical Research, 2014, 19(22): 12500-12512.
[5] Li, X., Wang, S. Y., Sun, Y. C., et al. A recognition method for compound dry-hot Events based on daily drought indices: Patent ZL 2023 1 1382815.6 [P]. Issued on Oct. 31, 2025.
[6] Li, X., Wang, S. Y., Wang, F., et al. The Joint occurrence probability of compound drought and heatwaves: A copula-based multivariate analysis of duration and severity in China [J]. International Journal of Climatology, 2026, e70176.
[7] Zhang, Y. Q., Li, X., Wang, S. Y., et al. Characteristics of land-atmosphere coupling in compound dry-hot events in Northwestern China [J]. Journal of Hydrology: Regional Studies, 2025, 61: 102754.
[8] Wang, S. Y., Li, X., Wang, F., et al. Variation characteristics in compound drought-heatwave events in Northwest China and the relationship with sea surface temperature [J]. Theoretical and Applied Climatology, 2026, 157: 22.
Data Product:
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Data Name |
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DryHotEvent_NW_China.rar |
318.37KB |
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