Characteristics of consecutive dry days variations in China

Duan, Yingli; Ma, Zhuguo; Yang, Qing

doi:10.1007/s00704-016-1984-6

Cited by 38 publications

(20 citation statements)

References 41 publications

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“…The standard deviation of CDD is proportional to the radial distance from the origin and is here equal to 0.84. These results are in line with theoretical climatology, i.e., the more CDD are experienced in a season, the higher are the chances of experiencing drought (Duan et al, 2016).…”

Section: Evolution Of Consecutive Dry Days (Cdd)supporting

confidence: 89%

“…It is described in detail by Schneider et al (2016) and is available through the Physical Science Division of the Earth System Research Laboratory (https://www.esrl.noaa.gov/psd/data/gridded). In this study, the maximum number of consecutive days with less than 1 mm of precipitation was investigated because it serves as a reliable measure of the evolution of seasonal drought (Duan et al, 2016). Originally, the theory of consecutive dry days (CDD) was proposed by Frich et al (2002) in their study on variations and changes in extreme climate towards the end of the 20 th century.…”

Section: Data Sourcesmentioning

confidence: 99%

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Spatial and temporal patterns of drought in Zambia

2019

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Drought acutely affects economic sectors, natural habitats and communities. Understanding the past spatial and temporal patterns of drought is crucial because it facilitates the forecasting of future drought occurrences and informs decision-making processes for possible adaptive measures. This is especially important in view of a changing climate. This study employed the World Meteorological Organization (WMO)-recommended standardized precipitation index (SPI) to investigate the spatial and temporal patterns of drought in Zambia from 1960 to 2016. The relationship between the occurrence of consecutive dry days (CDD; consecutive days with less than 1 mm of precipitation) and SPI was also investigated. Horizontal wind vectors at 850 hPa during the core of the rainy season (December-February) were examined to ascertain the patterns of flow during years of extreme and severe drought; and these were contrasted with the patterns of flow in 2007, which was a generally wet year. Pressure vertical velocity was also investigated. Based on the gamma distribution, SPI successfully categorized extremely dry (with a SPI value less than or equal to-2.0) years over Zambia as

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Section: Evolution Of Consecutive Dry Days (Cdd)supporting

confidence: 89%

Section: Data Sourcesmentioning

confidence: 99%

Spatial and temporal patterns of drought in Zambia

2019

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“…The EEMD method is a good tool for analysing the periods of SPEI or other drought indices. Duan et al (2017) analysed the temporal variations of regional averaged consecutive dry days in China using the EEMD method and found increasing trends of the residual curves of consecutive dry days in southwestern China and middle-low reaches of Yangtze River (belonged to subregion 6 of this study) in warm season. We also detected increasing trend of SPEI in sub-region 6.…”

Section: Drought's Correlations With Atmospheric Circulationsmentioning

confidence: 78%

Spatiotemporal variability of standardized precipitation evapotranspiration index in mainland China over 1961–2016

et al. 2020

Intl Journal of Climatology

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A good understanding of spatiotemporal characteristics of historical droughts is important for managing and tackling drought hazards. This paper aims to investigate spatiotemporal variations of drought in mainland China over 1961–2016 based on the standardized precipitation evapotranspiration index (SPEI) at the 1‐ and 12‐month timescales. The trend significance and magnitude of 12‐month SPEI were analysed using the modified Mann–Kendall (MMK) method and Sen's slope values. The empirical orthogonal function (EOF) and ensemble empirical mode decomposition (EEMD) were applied to analyse the spatial patterns and periods in 1‐month SPEI series. The results showed that the temporal fluctuations of SPEI were weaker as the timescale increased. The droughts in 1960s were the severest than in other decades. The sites with SPEI < −5 (denoting the extreme droughts) mainly located in the northwestern and southwestern China. An overall wetter trend was detected in most regions of China, except the belt from northeastern to middle and southwestern China. The 1‐month SPEI had shorter than 1.20‐year of mean periods for the seven sub‐regions and China, while had 0.22–2.95 years of mean periods at different sites. Residuals (decomposed from 1‐month SPEI) showed increasing trends in most of the sub‐regions except sub‐region 3. In northern and northwestern China, longer periods of SPEI were detected. The highest values of EOF1 and EOF2 illustrated the eastern and northeastern China were drought‐sensitive areas. From the correlations between 1‐month SPEI and the atmospheric circulations, the AO was the main physical factor that influenced drought occurrence in mainland China. The identified spatiotemporal characteristics of SPEI could offer references for drought prevention and management in China.

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“…On the other hand, CDD showed a significant increasing trend (up to 150 days) in some parts of the region. Studies (e.g., Orlowsky and Seneviratne, ; Duan et al ., ) concluded that the increase in CDD indicates enhanced dryness and risk of seasonal droughts. Compared to the (largely lacking) trends in precipitation indices, we found higher annual variability of extremes which might be associated with the very complex topography and relief features of the region and large‐scale climate variables (Kotir, ; Fer et al ., ; Mpelasoka et al ., ).…”

Section: Discussionmentioning

confidence: 99%

Changes in temperature and precipitation extremes in Ethiopia, Kenya, and Tanzania

Gebrechorkos

Hülsmann

Bernhofer

2018

Intl Journal of Climatology

135

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East Africa is one of the most vulnerable regions of Africa to extreme weather and climate events. Regional and local information on climate extremes is critical for monitoring and managing the impacts and developing sustainable adaptation measures. However, this type of information is not readily available at the necessary spatial resolution. Therefore, here we test trends and variability of temperature (1979-2010) and precipitation (1981-2016) extremes in East Africa, particularly Ethiopia, Kenya, and Tanzania, at a spatial resolution of 0.1 and 0.05 , respectively, using the indices defined by the Expert Team on Climate Change Detection and Indices (ETCCDI). We use gridded data sets with high accuracy and resolution from the Terrestrial Hydrology Research Group, University of Princeton and Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS). Trends of 19 indices are computed by fitting a linear model and using the nonparametric Mann-Kendall test and the magnitude of change is computed using the Sen's slope method. The results show an increasing trend in monthly maximum and minimum values of daily maximum and minimum temperature in large parts of the region. This is accompanied by significant increasing trends in warm nights (TN90p), warm days (TX90p), warm spell duration index (WSDI), and summer days index (SU). In addition, cold days (TX10p) and cold nights (TN10p) showed a significant decreasing trend. In general, the results show an increasing tendency in temperatures extremes, which is in line with rising global mean temperature. In addition, most of the temperature extremes observed after 2000 are warmer than the longterm mean . Precipitation indices, on the other hand, showed increasing and decreasing trends in Ethiopia, Kenya, and Tanzania, but no general pattern. The outcomes enable identifying hot spot areas and planning of adaptation and mitigation measures at much finer spatial scale than previously possible.

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Characteristics of consecutive dry days variations in China

Cited by 38 publications

References 41 publications

Spatial and temporal patterns of drought in Zambia

Spatial and temporal patterns of drought in Zambia

Spatiotemporal variability of standardized precipitation evapotranspiration index in mainland China over 1961–2016

Changes in temperature and precipitation extremes in Ethiopia, Kenya, and Tanzania

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