GRACE satellite-based drought index indicating increased impact of drought over major basins in China during 2002–2017

Liu, Xianfeng; Feng, Xiaoming; Ciais, Philippe; Fu, Bojie; Hu, Baoyi; Sun, Zhangli

doi:10.1016/j.agrformet.2020.108057

Cited by 68 publications

(41 citation statements)

References 43 publications

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“…MTWSC j is the mean value of the TWSC series for the jth month of all the study years, TSDI represents the hydrological drought index, µ is the mean value of TSD and σ is the standard deviation from the mean field of 2002-04~2020-05. The covered area with TSDI less than 0 is defined as a drought-affected area, the extent of drought for a given month is indicated with four drought grades that are shown in Table 2 [19]. The TSDI reflects a proxy of drought severity, the larger the TSDI, the more severe the drought will be.…”

Section: Methodsmentioning

confidence: 99%

“…The TWSC data have been widely used in many fields, such as groundwater storage changes [13], freshwater discharge [14], ice mass loss [15], regional flood potential [16] and drought detection [17,18]. The Total Storage Deficit Index (TSDI) derived from GRACE data have widely been used to assess the hydrological drought characteristics, such as major basins in China [19] and India [20,21] Mongolia [22], Lancang-Mekong River basin [23], Amazon River basin [24] and Central Asian basin [25].…”

Section: Introductionmentioning

confidence: 99%

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Two Severe Prolonged Hydrological Droughts Analysis over Mainland Australia Using GRACE Satellite Data

et al. 2021

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In recent years, many droughts have happened over mainland Australia, especially the two severe prolonged droughts, from 2006 to 2009 and 2018 to 2020, resulting in serious water scarcity. Therefore, using the Total Storage Deficit Index (TSDI) from the Gravity Recovery and Climate Experiment (GRACE), we analyzed the two severe prolonged droughts from the perspective of the affected area, spatial evolution, frequency, severity and drought driving factors. The results show that the affected area of Drought 2006–2009 ranged from 57% to 95%, and that of Drought 2018–2020 ranged from 45% to 95%. Drought 2006–2009 took its rise in southeastern Australia and gradually spread to the central part. Drought 2018–2020 originated in the southwest corner of the Northern Territory and northern New South Wales, and gradually expanded to Western Australia and the whole New South Wales respectively. During Drought 2006–2009, Victoria suffered drought all months, including 59% mild drought and 41% moderate drought, North Territory had the highest drought severity of 44.26 and Victoria ranked the second high with the severity of 35.51 (cm months). For Drought 2018–2020, Northern Territory was also dominated by drought all months, including 92% mild drought and 8% moderate drought, the drought severities were in North Territory and Western Australia with 52.19 and 31.44 (cm months), respectively. Finally, the correlation coefficients between the two droughts and Indo-Pacific climate variability including El Niño-Southern Oscillation and Indian Ocean Dipole (IOD) are computed. By comparing the correlation coefficients of Drought 2018–2020 with Drought 2006–2009, we find that the impact of the El Niño on the hydrological drought becomes weaker while IOD is stronger, and the role of Southern Oscillation on droughts is diverse with the quite different spatial patterns. The results from Fourier analysis confirm that the two hydrological droughts are all related to Indo-Pacific climate variability but with slightly different driving mechanisms.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Two Severe Prolonged Hydrological Droughts Analysis over Mainland Australia Using GRACE Satellite Data

et al. 2021

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“…Nevertheless, they have been compared with traditional drought indices and over many regions they have shown exciting potential (Zhao et al, 2017). A recent study showed that GRACE based drought indices when computed with detrended GRACE time series can help us capture meteorological and agricultural droughts (Liu X. et al, 2020). The assumption in this study is that the linear trend is completely anthropogenic, which can be a reasonable assumption in some cases, and removing the linear part will help us get rid of the anthropogenic component and target meteorological and agricultural droughts due to climatic variability.…”

Section: Grace Based Drought Indicesmentioning

confidence: 99%

“…Gravity Recovery And Climate Experiment (GRACE), a geodetic satellite mission launched in 2002, was the first remote sensing platform to provide an estimate of ground water storage change as well (Wouters et al, 2014;Frappart and Ramillien, 2018;Tapley et al, 2019). Therefore, GRACE attracted a lot of interest from the hydrology community to map extremes of water availability (Ramillien et al, 2008;Houborg et al, 2012;Long et al, 2013;Vishwakarma et al, 2013;Thomas et al, 2014;Forootan et al, 2019;Kvas et al, 2019;Liu X. et al, 2020). However, complicated geo-physical inversion behind GRACE products, its post-processing, its debated spatial resolution, a short GRACE time-series, and its disagreement with hydrology models, have prevented us from taping the full potential of GRACE mission.…”

Section: Introductionmentioning

confidence: 99%

Monitoring Droughts From GRACE

Vishwakarma

2020

Front. Environ. Sci.

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With ongoing climate change, we are staring at possibly longer and more severe droughts in the future. Therefore, monitoring and understanding duration and intensity of droughts, and how are they evolving in space and time is imperative for global socio-economic security. Satellite remote sensing has helped us a lot in this endeavor, but most of the satellite missions observe only near-surface properties of the Earth. A recent geodetic satellite mission, GRACE, measured the water storage change both on and beneath the surface, which makes it unique and valuable for drought research. This novel dataset comes with unique problems and characteristics that we should acknowledge before using it. In this perspective article, I elucidate important characteristics of various available GRACE products that are important for drought research. I also discuss limitations of GRACE mission that one should be aware of, and finally I shed some light on latest developments in GRACE data processing that may open numerous possibilities in near future.

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“…TWS changes in agricultural regions has attracted a great deal of attention [20]. Because of groundwater withdrawal for irrigation and drought, TWS changes in India, the North China Plain and the Yangzte River Basin has been in the limelight in recent years.…”

Section: Introductionmentioning

confidence: 99%

The Different Spatial and Temporal Variability of Terrestrial Water Storage in Major Grain-Producing Regions of China

Chen

Wang

Jiang

et al. 2021

Water

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Irrigation is an important factor affecting the change of terrestrial water storage (TWS), especially in grain-producing areas. The Northeast China Plain (NECP), the Huang-Huai-Hai Plain (HHH) and the middle and lower reaches of the Yangtze River Basin Plain (YRB) are major grain-producing regions of China, with particular climate conditions, crops and irrigation schemes. However, there are few papers focusing on the different variation pattern of water storage between NECP, HHH and YRB. In this paper, the characteristics of terrestrial water storage anomaly (TWSA) and groundwater storage in the three regions mentioned above from 2003 to 2014 were analyzed, and the main reasons for water storage variations in the three regions were also discussed. The result shows that although effective irrigated areas increased in all three regions, TWSA only decreased in HHH and TWSA in the other two regions have shown an increasing trend. Spatially, the water storage deficit was more serious in middle and south NECP and HHH. In the three regions, water storage variations were impacted by meteorological condition and anthropogenic stress (e.g., irrigation). However, irrigation water consumption has a greater impact on water storage deficit in HHH than the other two regions, and water storage variation in YRB was mainly impacted by meteorological conditions. In this case, we suggest that the structure of agricultural planting in HHH should be adjusted to reduce the water consumption for irrigation.

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GRACE satellite-based drought index indicating increased impact of drought over major basins in China during 2002–2017

Cited by 68 publications

References 43 publications

Two Severe Prolonged Hydrological Droughts Analysis over Mainland Australia Using GRACE Satellite Data

Two Severe Prolonged Hydrological Droughts Analysis over Mainland Australia Using GRACE Satellite Data

Monitoring Droughts From GRACE

The Different Spatial and Temporal Variability of Terrestrial Water Storage in Major Grain-Producing Regions of China

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