The Peer‐To‐Peer Type Propagation From Meteorological Drought to Soil Moisture Drought Occurs in Areas With Strong Land‐Atmosphere Interaction

Li, Qiaoqiao; Ye, Aizhong; Zhang, Yuhang; Zhou, Junju

doi:10.1029/2022wr032846

Cited by 29 publications

(6 citation statements)

References 79 publications

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“…Furthermore, a noticeable lag time is observed between meteorological drought (measured by precipitation) and hydrological drought (measured by runoff and TWS). The increase in ET triggered by high AED in the early stage of drought may exacerbate soil moisture depletion and slow down the recovery of hydrological drought, although it is not the sole factor influencing the drought propagation processes (Li et al, 2022; Van Loon, 2015).…”

Section: Resultsmentioning

confidence: 99%

Response of evapotranspiration to the 2022 unprecedented extreme drought in the Yangtze River Basin

Zhang,

Liu,

Wang

et al. 2024

Intl Journal of Climatology

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The response of evapotranspiration (ET) to drought is essential for understanding water availability under drought conditions, which has received increasing scientific attention but remains highly uncertain. An unprecedented extreme drought sweeping the whole Yangtze River Basin during the summer and autumn of 2022 provides a novel opportunity to explore the ET response to drought within large river basins. Here, we apply multiple ET products to investigate the spatiotemporal variation of ET during the 2022 extreme drought and analyse the response of ET to drought in the Yangtze River Basin. The results show that this drought, characterized by widespread substantial precipitation deficit and high level of atmospheric evaporative demand (AED), leads to evident abnormal ET. Over the whole basin, ET exhibits a notable increase in the initial 2 months of this drought, which can significantly reduce water availability. However, despite continued high AED, the increase in ET fails to remain in the following months due to limited moisture supply. This suggests that ET response to drought varies as drought progresses. Among other drought events from 2003 to 2022, the response of ET is similar to that in the 2022 extreme drought. Specifically, for most sub‐basins, ET typically shows positive anomalies in the early stage of drought, followed by negative anomalies in the late stage. Generally, our findings improve the understanding of the dynamic response of ET to drought at the basin scale, which is crucial for basin water security.

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Section: Resultsmentioning

confidence: 99%

Response of evapotranspiration to the 2022 unprecedented extreme drought in the Yangtze River Basin

Zhang,

Liu,

Wang

et al. 2024

Intl Journal of Climatology

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“…Study Area Propagation Type 1 Method 2 Result [27] China PMAD CA 3.4 months [28] Heihe River Basin PMAD CA Average 8 months [29] Northeast Asia PMAD CA 1-3 months in summer and 5-12 months in winter [24] North China Plain PMED CA 1.33 months in summer and 2.67 months in winter [23] China PMED CA 2.67 months in summer and 7 months in winter [25] China PMAD, PMED CA 1-2.5 months under PMAD and no delay under PMED [30] Tarim River Basin PMHD CA 2-21 months [31] India PMAD, PMHD CA 4-5 months under PMAD and 1 month shorter than that under PMHD [32] Global PMAD, PMHD CA 5.7 months under PMAD and 3.5-14.47 months under PMHD [33] Longchuan River Basin PMAD, PMHD, PHAD CA Approximately 2 months under three types of propagation [34] Yangtze River Basin PMAD, PMHD CA Less than 2 months under PMAD and 2-6 months under PMHD [35] China PMAD CA 1-2 months in summer and 2-7 months in the next spring [36] Xijiang River Basin PMHD RT Less than 3 months, with the maximum being 78 days [37] Yangtze River Basin PMAD CA 48 days [38] Luanhe River Basin PMHD CA 1-7 months in rainy season and 7-12 months in dry season [39] Huaihe River Basin PMHD RT 1-47 days [41] China PMHD CA 2-4 months 1 Propagation Type: PMAD represents the propagation from meteorological drought to agricultural drought, PMHD represents the propagation from meteorological drought to hydrological drought, PMED represents the propagation from meteorological drought to ecological drought, PHAD represents the propagation from hydrological drought to agricultural drought; 2 Method: CA represents correlation analysis, RT represents run theory.…”

Section: Referencementioning

confidence: 99%

Propagation of Meteorological Drought to Agricultural and Hydrological Droughts in the Tropical Lancang–Mekong River Basin

Feng,

Chen,

Mansaray

et al. 2023

Remote Sensing

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In the past several decades, drought events have occurred frequently around the world. However, research on the propagation of drought events has not been adequately explored. This study investigated the drought propagation process from meteorological drought to agricultural drought (PMAD) and from meteorological drought to hydrological drought (PMHD) using a 72-year reanalysis dataset in the tropical Lancang–Mekong River Basin. Firstly, we used a new method—Standardized Drought Analysis Toolbox—to construct drought indices. Then, a linear method (Pearson correlation analysis) and a nonlinear method (mutual information) were used to investigate the drought propagation process. Cross-wavelet analysis and wavelet coherence analysis were employed to explore the statistical relationship among the three drought types. Finally, the random forest method was applied to quantify the major factors in drought response time (DRT). The results revealed the following: (1) both linear and nonlinear methods exhibited strong temporal and spatial consistency for both PMAD and PMHD, with linear relationships being stronger than nonlinear ones. (2) The DRTs of PMAD and PMHD were around 1–2 months and 3–5 months, respectively. Significant differences existed in the DRT between the dry season and the rainy season. (3) A divergent spatial pattern of the proportion of DRT was observed between PMAD and PMHD. (4) Significant statistical correlations between meteorological drought and agricultural drought and between meteorological drought and hydrological drought were observed in specific periods for each sub-region; (5) Hydrometeorological factors contributed the most to DRT, followed by terrain factors and the land cover types. The findings of this study deepened our understanding of the spatial–temporal relationship of multiple drought propagation types in this transboundary river basin.

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“…To date, numerous studies have investigated the drought propagation characteristics at watershed, national and global scales (Huang et al., 2017; Q. Li et al., 2022; Ma et al., 2019, 2023; Shi et al., 2022; Xu et al., 2019; Yang et al., 2023; Zhou et al., 2021). Van Loon (2015) stated that the onsets of agricultural and hydrological droughts were usually later than that of meteorological drought, and concluded that the drought propagation could be characterized by pooling, lagging, attenuation and lengthening.…”

Section: Introductionmentioning

confidence: 99%

“…To date, numerous studies have investigated the drought propagation characteristics at watershed, national and global scales (Huang et al, 2017;Q. Li et al, 2022;Ma et al, 2019Ma et al, , 2023Shi et al, 2022;Xu et al, 2019;Yang et al, 2023;Zhou et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Vegetation Greening and Climate Warming Increased the Propagation Risk From Meteorological Drought to Soil Drought at Subseasonal Timescales

Ma,

Yuan

2024

Geophysical Research Letters

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Subseasonal droughts including flash droughts have occurred frequently in recent years, which are accompanied by heatwaves or wildfires that raise a wide concern on environmental risk. However, the changing characteristics of subseasonal drought propagation, and the possible climate and environmental drivers remain unknown. This study quantifies the propagation characteristics from meteorological drought to soil drought using a Copula‐based Bayesian framework, and shows that higher propagation risks mainly occur in more humid regions with denser vegetation cover. Trends in drought propagation risk vary regionally, with a global increase of 2%/decade (p < 0.01) during 1980–2022. Vegetation greening and climate warming are the key drivers over >71% of the global vegetated lands, with mean contribution rates of 39.5% and 36.5% respectively. Other climatic factors including vapor pressure deficit and precipitation also paly critical roles, which closely correlate with temperature and vegetation. These findings highlight the importance of vegetation greening on subseasonal drought propagation dynamics.

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The Peer‐To‐Peer Type Propagation From Meteorological Drought to Soil Moisture Drought Occurs in Areas With Strong Land‐Atmosphere Interaction

Cited by 29 publications

References 79 publications

Response of evapotranspiration to the 2022 unprecedented extreme drought in the Yangtze River Basin

Response of evapotranspiration to the 2022 unprecedented extreme drought in the Yangtze River Basin

Propagation of Meteorological Drought to Agricultural and Hydrological Droughts in the Tropical Lancang–Mekong River Basin

Vegetation Greening and Climate Warming Increased the Propagation Risk From Meteorological Drought to Soil Drought at Subseasonal Timescales

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