Spatial and Temporal Evolution Characteristics of Drought in Yunnan Province from 1969 to 2018 Based on SPI/SPEI

Cui-ping, Yang; Tuo, Yunfei; Ma, Jan; Zhang, Dao

doi:10.1007/s11270-019-4287-6

Cited by 26 publications

(8 citation statements)

References 8 publications

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“…Spatiotemporal LDDH events in the northern Tibetan Plateau (C1) are relatively more frequent in the 1980s and 1990s. The events over Yunnan (C4) occur much more frequently after 2010, which is consistent with the increase in the frequency of high temperature and droughts (Gao et al, 2021;Yang et al, 2019a). For eastern China, the frequency of SLDDH events has increased substantially after the 1990s, especially in the Sichuan-Chongqing region (C9), where the SLDDH events rarely occur before the 1990s.…”

Section: Typical Slddh Event Clusters Over Chinasupporting

confidence: 66%

Increased spatial extent and likelihood of compound long-duration dry and hot events in China, 1961–2014

Yang

Maraun

Ossó

et al. 2023

Nat. Hazards Earth Syst. Sci.

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Abstract. Compound dry and hot events can cause aggregated damage compared with isolated hazards. Although increasing attention has been paid to compound dry and hot events, the persistence of such hazards is rarely investigated. Moreover, little attention has been paid to the simultaneous evolution process of such hazards in space and time. Based on observations during 1961–2014, the spatiotemporal characteristics of compound long-duration dry and hot (LDDH) events in China during the summer season are investigated on both a grid basis and a 3D event basis. Grid-scale LDDH events mainly occur in eastern China, especially over northeastern areas. Most regions have experienced a pronounced increase in the likelihood of LDDH events, which is dominated by increasing temperatures. From a 3D perspective, 146 spatiotemporal LDDH (SLDDH) events are detected and grouped into 9 spatial patterns. Over time, there is a significant increase in the frequency and spatial extent of SLDDH events. Consistent with the grid-scale LDDH events, hotspots of SLDDH events mainly occur in northern China, such as the Northeast China, North China and Qinghai clusters, which are accompanied by a high occurrence frequency and large affected areas greater than 300 000 km2.

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Section: Typical Slddh Event Clusters Over Chinasupporting

confidence: 66%

Increased spatial extent and likelihood of compound long-duration dry and hot events in China, 1961–2014

Yang

Maraun

Ossó

et al. 2023

Nat. Hazards Earth Syst. Sci.

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“…1965, 1966, 1978, 1986, 1992, and 1993, which 1963, 1977, 1971, 1970, 1980, 1983, 1986, 1991, 1995, 2003 and 2004. This characterizing droughts, because it requires fewer parameters to calculate and can better reflect drought intensity and duration on different time scales (Yang et al, 2019). SPI has been applied in many fields such as ecology, meteorology, agriculture, water conservancy and so on (Kumar et al, 2021;Javed et al, 2021).…”

Section: Methodsmentioning

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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“…SPI is the most commonly used indicator worldwide for detecting and characterizing droughts because its calculation requires fewer parameters. This index can also better reflect drought intensity and duration at different timescales 61 . SPI has been applied in many fields such as ecology, meteorology, agriculture, water conservancy, among others 62 , 63 .…”

Section: Technical Validationmentioning

confidence: 99%

An improved daily standardized precipitation index dataset for mainland China from 1961 to 2018

Wang

Zhang

et al. 2022

Sci Data

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The standardized precipitation index (SPI), one of the most commonly used drought indicators, is widely used in the research areas of drought analysis and drought prediction in different fields such as meteorology, agriculture, and hydrology. However, its main disadvantage is the relatively coarse time resolution of one month. To improve the time resolution of SPI to identify flash droughts, we have refined the traditional SPI calculation method and developed a new multi-scale daily SPI dataset based on data from 484 meteorological stations in mainland China from 1961 to 2018. SPI data from three different sites (located in Henan, Yunnan, and Fujian Provinces) at the three-month timescale were analyzed by comparing with historically recorded drought events. We found that the new multi-scale daily SPI can effectively capture drought events in different periods and locations and identify the specific start and end times of drought events. In short, our SPI dataset appears reasonable and capable of facilitating drought research in different fields.

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Spatial and Temporal Evolution Characteristics of Drought in Yunnan Province from 1969 to 2018 Based on SPI/SPEI

Cited by 26 publications

References 8 publications

Increased spatial extent and likelihood of compound long-duration dry and hot events in China, 1961–2014

Increased spatial extent and likelihood of compound long-duration dry and hot events in China, 1961–2014

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

An improved daily standardized precipitation index dataset for mainland China from 1961 to 2018

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