A multi-scale daily SPEI dataset for drought characterization at observation stations over  mainland China from 1961 to 2018

Wang, Qianfeng; Zeng, Jiali; Qi, Junyu; Zhang, Xuesong; Zeng, Yuehua; Shui, Wei; Xu, Zhanghua; Zhang, Rongrong; Wu, Xiaoping; Cong, Jiajia

doi:10.5194/essd-13-331-2021

Cited by 140 publications

(80 citation statements)

References 58 publications

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“…However, these limitations were addressed by the development of the standardized precipitation evapotranspiration index (SPEI) [22]. The following literature extensively summarizes recent SPEI based studies at a regional scale, temporal scale, types of datasets used and statistical method used [23][24][25][26][27][28][29][30][31][32][33][34][35][36]. Using different drought indices, most of these studies revealed that SPEI is most sensitive to drought conditions due to the evaporative demand component (as demonstrated in potential evapotranspiration (PET)) indicating SPEI importance as a favorable drought index.…”

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Analysis of Drought Variability in Myanmar Based on the Standardized Precipitation Evapotranspiration Index (SPEI) and Its Impact on Crop Production

et al. 2021

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Drought research is an important aspect of drought disaster mitigation and adaptation. For this purpose, we used the Standardized Precipitation Evapotranspiration Index (SPEI) to investigate the spatial-temporal pattern of drought and its impact on crop production. Using monthly precipitation (Precip) and temperature (Temp) data from 1986–2015 for 39 weather stations, the drought index was obtained for the time scale of 3, 6, and 12 months. The Mann–Kendall test was used to determine trends and rates of change. Precip and Temp anomalies were investigated using the regression analysis and compared with the drought index. The link between drought with large-scale atmospheric circulation anomalies using the Pearson correlation coefficient (R) was explored. Results showed a non-uniform spatial pattern of dryness and wetness which varied across Myanmar agro-ecological zones and under different time scales. Generally, results showed an increasing trend for the SPEI in the three-time scales, signifying a high tendency of decreased drought from 1986–2015. The fluctuations in dryness/wetness might linked to reduction crop production between 1986–1999 and 2005, 2008, 2010, 2013 cropping years. Results show relationship between main crops production and climate (teleconnection) factors. However, the low correlation values (i.e., <0.49) indicate the extent of the relationship within the natural variability. However, readers are urged to interpret this result cautiously as reductions in crop production may also be affected by other factors. We have demonstrated droughts evolution and trends using weather stations, thus providing useful information to aid policymakers in developing spatially relevant climate change adaptation and mitigation management plans for Myanmar.

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Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Analysis of Drought Variability in Myanmar Based on the Standardized Precipitation Evapotranspiration Index (SPEI) and Its Impact on Crop Production

et al. 2021

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“…Both precipitation and air temperature can influence the drought conditions in cropland (Tigchelaar et al., 2018; Q. Wang et al., 2021). Standardised Precipitation‐Evapotranspiration Index (SPEI) can consider both precipitation and air temperature changes, and therefore we selected SPEI as the index for drought analysis.…”

Section: Methodsmentioning

confidence: 99%

“…Both precipitation and air temperature can influence the drought conditions in cropland (Tigchelaar et al, 2018;Q. Wang et al, 2021).…”

Section: Methodsmentioning

confidence: 99%

Increasing Concurrent Drought Probability in Global Main Crop Production Countries

Feng

Yang

et al. 2022

Geophysical Research Letters

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Understanding concurrent drought events in global main croplands is crucially important for food security, effective adaptation to climate change and human well‐being. Yet, there is a lack of comprehensive studies on concurrent drought probability changes among main crop production countries on a global scale, especially for the future. Here, we studied concurrent drought among 26 main crop production countries for the time period 1861–2099. During the historical period, probability of concurrent moderate and severe drought among the countries was relatively low, and the maximum concurrent moderate and severe drought probability will double and triple under RCP8.5 extreme climate, respectively. Concurrent probability of moderate and severe drought between China and United States of America, Brazil and Russia will be at least 6% and 5% under RCP8.5, respectively, compared with zero in the historical period. Limiting RCPs to RCP2.6 can decrease the concurrent probability of severe drought at least 2% (at least 3% for RCP8.5).

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“…But the previous SPI can't monitor the drought below one month scale, and can't accurately identify the exact time of drought events. Therefore, based on the commonly used monthly SPI (Stagge et al, 2015) and the daily SPEI algorithm in our previous study (Wang et al, 2021b),…”

Section: Methodsmentioning

confidence: 99%

“…The determination method of similar events is whether SPI is within the same specified drought frequency (ATDF) of all sites (Wang et al, 2021b).…”

Section: Theory Of Runsmentioning

confidence: 99%

Daily standardized precipitation index with multiple time scale for monitoring water deficit across the mainland China from 1961 to 2018

Wang

Zhang

et al. 2021

Preprint

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Abstract. With the increasing shortage of water resources, drought has become one of the hot issues in the world. The standardized precipitation index (SPI) is one of the widely used drought assessment indicators because of its simple and effective calculation method, but it can only assess drought events more than one month. We developed a new multi-scale daily SPI dataset to make up for the shortcomings of the commonly used SPI and meet the needs of drought types at different time scales. Taking three typical stations in Henan, Yunnan and Fujian Province as examples, the drought events identified by SPI with different scales were consistent with the historical drought events recorded. Meanwhile, we took the 3-month scale SPI of soil and agricultural drought as an example, and analyzed the characteristics of drought events in 484 stations in Chinese mainland. The results showed that most of the drought events the mainland China did not increase significantly, and some parts of the northwestern Xinjiang and Northeast China showed signs of gradual relief. In short, our daily SPI data set is freely available to the public on the website https://doi.org/10.6084/m9.figshare.14135144, and can effectively capture drought events of different scales. It can also meet the needs of drought research in different fields such as meteorology, hydrology, agriculture, social economy, etc.

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A multi-scale daily SPEI dataset for drought characterization at observation stations over mainland China from 1961 to 2018

Cited by 140 publications

References 58 publications

Spatio-Temporal Analysis of Drought Variability in Myanmar Based on the Standardized Precipitation Evapotranspiration Index (SPEI) and Its Impact on Crop Production

Spatio-Temporal Analysis of Drought Variability in Myanmar Based on the Standardized Precipitation Evapotranspiration Index (SPEI) and Its Impact on Crop Production

Increasing Concurrent Drought Probability in Global Main Crop Production Countries

Daily standardized precipitation index with multiple time scale for monitoring water deficit across the mainland China from 1961 to 2018

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