Articles | Volume 13, issue 2
https://doi.org/10.5194/essd-13-331-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-13-331-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
11 Feb 2021
Data description paper |
| 11 Feb 2021
A multi-scale daily SPEI dataset for drought characterization at observation stations over mainland China from 1961 to 2018
Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion and
Disaster Protection/College of Environment and Resource, Fuzhou University,
Fuzhou, 350116, China
Joint Global Change Research Institute, Pacific Northwest National
Laboratory and University of Maryland, College Park, MD 20740, USA
Jingyu Zeng
Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion and
Disaster Protection/College of Environment and Resource, Fuzhou University,
Fuzhou, 350116, China
Junyu Qi
Earth System Science Interdisciplinary Center, University of Maryland,
College Park, 5825 University Research Ct, College Park, MD 20740, USA
Xuesong Zhang
Earth System Science Interdisciplinary Center, University of Maryland,
College Park, 5825 University Research Ct, College Park, MD 20740, USA
Joint Global Change Research Institute, Pacific Northwest National
Laboratory and University of Maryland, College Park, MD 20740, USA
Yue Zeng
Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion and
Disaster Protection/College of Environment and Resource, Fuzhou University,
Fuzhou, 350116, China
Wei Shui
Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion and
Disaster Protection/College of Environment and Resource, Fuzhou University,
Fuzhou, 350116, China
Zhanghua Xu
Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion and
Disaster Protection/College of Environment and Resource, Fuzhou University,
Fuzhou, 350116, China
Rongrong Zhang
Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion and
Disaster Protection/College of Environment and Resource, Fuzhou University,
Fuzhou, 350116, China
Xiaoping Wu
Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion and
Disaster Protection/College of Environment and Resource, Fuzhou University,
Fuzhou, 350116, China
Jiang Cong
School of Urban Planning and Design, Peking University, Shenzhen,
Guangdong, 518055, China
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Cited
11 citations as recorded by crossref.
- Improving the drought monitoring capability of VHI at the global scale via ensemble indices for various vegetation types from 2001 to 2018 J. Zeng et al. 10.1016/j.wace.2022.100412
- Future Changes in Drought Frequency Due To Changes in the Mean and Shape of the PDSI Probability Density Function Under RCP4.5 Scenario Y. Qi et al. 10.3389/feart.2022.857885
- Historical evidence of climate change impact on drought outlook in river basins: analysis of annual maximum drought severities through daily SPI definitions G. Onuşluel Gül et al. 10.1007/s11069-021-04995-0
- Increasing Concurrent Drought Probability in Global Main Crop Production Countries W. Qi et al. 10.1029/2021GL097060
- Analysis of Drought Characteristics in Northern Shaanxi Based on Copula Function J. Wang et al. 10.3390/w13111445
- Investigating the effect of improved drought events extraction method on spatiotemporal characteristics of drought R. Zhang et al. 10.1007/s00704-021-03838-z
- Long-Term Vegetation Phenology Changes and Responses to Preseason Temperature and Precipitation in Northern China R. Zhang et al. 10.3390/rs14061396
- Spatio-Temporal Analysis of Drought Variability in Myanmar Based on the Standardized Precipitation Evapotranspiration Index (SPEI) and Its Impact on Crop Production Z. Sein et al. 10.3390/agronomy11091691
- Global assessment of lagged and cumulative effects of drought on grassland gross primary production X. Wei et al. 10.1016/j.ecolind.2022.108646
- Spatio-Temporal Heterogeneity of Climate Warming in the Chinese Tianshan Mountainous Region X. Li et al. 10.3390/w14020199
- Trends in drought occurrence and severity at mid-latitude European stations (1951–2015) estimated using standardized precipitation (SPI) and precipitation and evapotranspiration (SPEI) indices P. Dukat et al. 10.1007/s00703-022-00858-w
10 citations as recorded by crossref.
- Improving the drought monitoring capability of VHI at the global scale via ensemble indices for various vegetation types from 2001 to 2018 J. Zeng et al. 10.1016/j.wace.2022.100412
- Future Changes in Drought Frequency Due To Changes in the Mean and Shape of the PDSI Probability Density Function Under RCP4.5 Scenario Y. Qi et al. 10.3389/feart.2022.857885
- Historical evidence of climate change impact on drought outlook in river basins: analysis of annual maximum drought severities through daily SPI definitions G. Onuşluel Gül et al. 10.1007/s11069-021-04995-0
- Increasing Concurrent Drought Probability in Global Main Crop Production Countries W. Qi et al. 10.1029/2021GL097060
- Analysis of Drought Characteristics in Northern Shaanxi Based on Copula Function J. Wang et al. 10.3390/w13111445
- Investigating the effect of improved drought events extraction method on spatiotemporal characteristics of drought R. Zhang et al. 10.1007/s00704-021-03838-z
- Long-Term Vegetation Phenology Changes and Responses to Preseason Temperature and Precipitation in Northern China R. Zhang et al. 10.3390/rs14061396
- Spatio-Temporal Analysis of Drought Variability in Myanmar Based on the Standardized Precipitation Evapotranspiration Index (SPEI) and Its Impact on Crop Production Z. Sein et al. 10.3390/agronomy11091691
- Global assessment of lagged and cumulative effects of drought on grassland gross primary production X. Wei et al. 10.1016/j.ecolind.2022.108646
- Spatio-Temporal Heterogeneity of Climate Warming in the Chinese Tianshan Mountainous Region X. Li et al. 10.3390/w14020199
Latest update: 08 Jun 2023
Short summary
(1) The SPEI has been widely used to monitor and assess drought characteristics.
(2) A multi-scale daily SPEI dataset was developed across mainland China from 1961 to 2018.
(3) The daily SPEI dataset can identify the start and end days of a drought event.
(4) The daily SPEI dataset developed is free, open, and publicly available from this study.
(1) The SPEI has been widely used to monitor and assess drought characteristics.
(2) A...
