Spatiotemporal Differences in Dominants of Dryness/Wetness Changes in Southwest China

Zhou, Shujia; Sun, Shurong; Shi, Wanrong; Wang, Jiazhi; Li, Jinjian; Wang, Guojie; Lou, Weiping

doi:10.1155/2019/2820769

Cited by 3 publications

(1 citation statement)

References 80 publications

(119 reference statements)

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“…In this study, we mainly focus on the seasonal scale, so this paper focuses on the SPEI-3 index which can reflect the seasonal scale drought evolution. In meteorology, January, April, July, and October are usually taken as representative months of winter, spring, summer, and autumn (Zhou et al 2019;Noureldeen et al 2020), so the average values of these four months in each year are taken as the SPEI values of seasonal scale in China.…”

Section: Drought Datamentioning

confidence: 99%

Spatial and temporal variation characteristics and attribution analysis of land water storage changes in China

Zhu

Zhang

et al. 2022

Journal of Water and Climate Change

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The quantitative study of terrestrial water storage change (TWSC) and its spatial and temporal dynamics has been an important topic in water resources research and management. The results are as follows: (1) The inversion of global terrestrial water storage changes can be achieved by using the decorrelation filter method and a combination of Gaussian filter functions with different radii, indicating the feasibility of the GRACE inversion of TWSC. (2) In summer and autumn, the rise of water storage in central China is higher than that in east and west China. In spring and winter, the overall water storage in China shows a deficit, and some regions in Guizhou, Guangdong and Guangxi have a small surplus compared with other regions. (3) The influencing factors of the high effect of TWSC are minimum temperature, precipitation and maximum temperature, and the explanatory power of TWSC through factor interaction is much higher than that of a single factor. (4) The geographically and temporally weighted regression (GTWR) model is better than OLS and geographically weighted regression (GWR) models in determining the relationship between influencing TWSC and drivers, and there are temporal and local differences in the influence of each driver on TWSC.

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Section: Drought Datamentioning

confidence: 99%

Spatial and temporal variation characteristics and attribution analysis of land water storage changes in China

Zhu

Zhang

et al. 2022

Journal of Water and Climate Change

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Quantifying the effects of nonlinear trends of meteorological factors on drought dynamics

et al. 2023

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Evidence for Intensification in Meteorological Drought since the 1950s and Recent Dryness–Wetness Forecasting in China

Yang

Bing

2022

Atmosphere

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Drought is one of the major environmental stressors; drought is increasingly threatening the living environment of mankind. The standardized precipitation evapotranspiration index (SPEI) with a 12-month timescale was adopted to monitor dry–wet status over China from 1951 to 2021. The modified Mann–Kendall (MMK) and Pettitt tests were used to assess the temporal trend and nonlinear behavior of annual drought variability. The analysis focuses on the spatio-temporal structure of the dry–wet transition and its general connections with climate change processes. In addition, the seasonal autoregressive integrated moving average (SARIMA) model was applied to forecast the dry–wet behavior in the next year (2022) at 160 stations, and the hotspot areas for extreme dryness–wetness in China were identified in the near term. The results indicate that the dry–wet climate in China overall exhibits interannual variability characterized by intensified drought. The climate in the Northeast China (NEC), North China (NC), Northwest China (NWC), and Southwest China (SWC) has experienced a significant (p < 0.05) drying trend; however, the dry–wet changes in the East China (EC) and South Central China (SCC) are highly spatially heterogeneous. The significant uptrend in precipitation is mainly concentrated to the west of 100° E; the rising magnitude of precipitation is higher in Eastern China near 30° N, with a changing rate of 20–40 mm/decade. Each of the sub-regions has experienced significant (p < 0.01) warming over the past 71 years. Geographically, the increase in temperature north of 30° N is noticeably higher than that south of 30° N, with trend magnitudes of 0.30–0.50 °C/decade and 0.15–0.30 °C/decade, respectively. The response of the northern part of Eastern China to the warming trend had already emerged as early as the 1980s; these responses were earlier and more intense than those south of 40° N latitude (1990s). The drying trends are statistically significant in the northern and southern regions, bounded by 30° N, with trend magnitudes of −0.30–−0.20/decade and −0.20–−0.10/decade, respectively. The northern and southwestern parts of China have experienced a significant (p < 0.05) increase in the drought level since the 1950s, which is closely related to significant warming in recent decades. This study reveals the consistency of the spatial distribution of variations in precipitation and the SPEI along 30° N latitude. A weak uptrend in the SPEI, i.e., an increase in wetness, is shown in Eastern China surrounding 30° N, with a changing rate of 0.003–0.10/decade; this is closely associated with increasing precipitation in the area. Drought forecasting indicates that recent drying areas are located in NWC, the western part of NC, the western part of SWC, and the southern part of SCC. The climate is expected to show wetting characteristics in NEC, the southeastern part of NC, and the eastern part of EC. The dry–wet conditions spanning the area between 30–40° N and 100–110° E exhibit a greater spatial variability. The region between 20–50° N and 80–105° E will continue to face intense challenges from drought in the near future. This study provides compelling evidence for the temporal variability of meteorological drought in different sub-regions of China. The findings may contribute to understanding the spatio-temporal effect of historical climate change on dry–wet variation in the region since the 1950s, particularly in the context of global warming.

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Spatiotemporal Differences in Dominants of Dryness/Wetness Changes in Southwest China

Cited by 3 publications

References 80 publications

Spatial and temporal variation characteristics and attribution analysis of land water storage changes in China

Spatial and temporal variation characteristics and attribution analysis of land water storage changes in China

Quantifying the effects of nonlinear trends of meteorological factors on drought dynamics

Evidence for Intensification in Meteorological Drought since the 1950s and Recent Dryness–Wetness Forecasting in China

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