Satellite gravity measurement monitoring terrestrial water storage change and drought in the continental United States

Yi, Hang; Wen, Lianxing

doi:10.1038/srep19909

Cited by 47 publications

(32 citation statements)

References 55 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The cumulative rainfall (with linear trend removed) recorded in the rainfall gauge co-installed with the strainmeter is also correlated with the strain and pore pressure signals ( Figure 2). Besides, both the soil moisture output from NLDAS (Xia et al, 2012) and the equivalent water height of terrestrial water storage change calculated using GRACE data (Yi & Wen, 2016) exhibit similar forms of water storage change in Parkfield and Anza during the strain variations ( Figure 3 and see Text S2 for GRACE data processing), and so does the groundwater level in some wells in California (Figure 3). Of the 167 selected wells in Southern California (south of N38°), 11 wells (7%) exhibit similar variation of groundwater level in the time period of the observed strain signals ( Figure S17).…”

Section: Observation Of Long-period Deformationmentioning

confidence: 92%

Strong Hydro‐Related Localized Long‐Period Crustal Deformation Observed in the Plate Boundary Observatory Borehole Strainmeters

Zhou

Wen

2018

Geophysical Research Letters

Self Cite

View full text Add to dashboard Cite

Strong localized hydro‐related long‐period strain variations, with amplitude up to about 2,000 ns (nanostrain) (1–2 orders of magnitude larger than the tidal deformation), are observed in some Plate Boundary Observatory borehole strainmeters in Parkfield and Anza, California. The long‐period strain signals exhibit compression from December 2010 to January 2011, extension till May 2011, and compression till 2014 to 2015. The observed strain signals are accompanied by similar pore pressure change at some strainmeters and no pore pressure change at other strainmeters. Similar long‐period signals are also observed in rainfall, groundwater, and soil moisture in the same regions. Poroelastic simulations suggest that the observed long‐period strains and their relationships with rainfall and pore pressure could be explained by a rainfall–hydrological diffusion–poroelastic deformation mechanism. Our study indicates that poroelastic response to hydrological water would generate significant underground deformation, which is intimately related to local hydrological properties and settings.

show abstract

Section: Observation Of Long-period Deformationmentioning

confidence: 92%

Strong Hydro‐Related Localized Long‐Period Crustal Deformation Observed in the Plate Boundary Observatory Borehole Strainmeters

Zhou

Wen

2018

Geophysical Research Letters

Self Cite

View full text Add to dashboard Cite

show abstract

“…For instance, Yi and Wen [27] proposed the GRACE-based Hydrological Drought Index (GHDI) for drought monitoring. However, the computation of GHDI also depends on the long-term mean soil moisture storage for the region.…”

Section: Total Water-storage Deficit Index (Twsdi)mentioning

confidence: 99%

“…Since then GRACE-derived TWS has been applied as a viable alternative to ground-based observations for monitoring droughts in the continental regions. See, for example, [20][21][22][23][24][25][26][27][28][29] and the citations therein.…”

Section: Introductionmentioning

confidence: 99%

Water Availability of São Francisco River Basin Based on a Space-Borne Geodetic Sensor

Sun

Ferreira

et al. 2016

Water

View full text Add to dashboard Cite

Brazil has recently experienced one of its worst droughts in the last 80 years, with wide-ranging consequences for water supply restrictions, energy rationing, and agricultural losses. Northeast and Southeast Brazil, which share the São Francisco River basin (SFRB), have experienced serious precipitation reduction since 2011. We used terrestrial water-storage (TWS) fields, inverted from the Gravity Recovery and Climate Experiment (GRACE) mission measurements, to assess and quantify the ongoing drought over the SFRB. We found a water loss rate of 3.30 km 3 /year over the time-span of April 2002 to March 2015. In addition, the TWS drought index (TWSDI) showed the extension of the recent drought that has jeopardized the SFRB since January 2012, and which reached its maximum in July 2015 (the end of TWS time series). In this sense there seems to be a linkage between the TWSDI (wetness/dryness) and the El Niño Southern Oscillation (ENSO), in terms of the wavelet coherence, at the semi-annual and biennial bands, suggesting a relationship between the two. While acknowledging that further investigation is needed, we believe that our findings should contribute to the water management policies by quantifying the impact of this drought event over the SFRB.

show abstract

“…Other indicators explored the monthly resolution of GRACE, e.g. the Total Storage Deficit Index (TSDI, Agboma et al, 2009), the GRACE-based Hydrological Drought index (GHDI, Yi and Wen, 2016), the Drought Severity Index (DSI, Zhao et al, 2017), and the Drought Index (DI, Houborg et al, 2012). Further, Thomas et al (2014) presented a water storage deficit approach to detect drought 5 magnitude, duration, and severity based on GRACE-derived TWSC.…”

mentioning

confidence: 99%

A framework for deriving drought indicators from GRACE

Gerdener

Engels

Kusche

2019

Preprint

View full text Add to dashboard Cite

Identifying and quantifying drought in retrospective is a necessity for better understanding drought conditions and the propagation of drought through the hydrological cycle, and eventually for developing forecast systems. Hydrological droughts refer to water deficits in surface and subsurface storage, and since these are difficult to monitor at larger scales, several studies have suggested to exploit total water storage data from the GRACE (Gravity Recovery and Climate Experiment) satellite gravity mission to analyse them. This has led to the development of GRACE-based drought indicators. However, it is unclear 5 how the ubiquitous presence of climate-related or anthropogenic water storage trends, which has been found from GRACE analyses, masks drought signals. Thus, this study aims at a better understanding of how drought signals, in the presence of trends and GRACE-specific spatial noise, propagate through GRACE drought indicators. Synthetic data are constructed and existing indicators are modified to possibly improve drought detection. Our results indicate that while the choice of the indicator should be application dependent, larger differences in robustness can be observed. We found a modified, temporally 10 accumulated version of the Zhao et al. (2017) indicator in particular robust under realistic simulations. We show that trends and accelerations seen in GRACE data tend to mask drought signals in indicators, and that different spatial averaging methods required to suppress the spatially correlated GRACE noise affect the outcome. Finally, we identify and analyse two droughts in South Africa using real GRACE data and the modified indicators.

show abstract

Satellite gravity measurement monitoring terrestrial water storage change and drought in the continental United States

Cited by 47 publications

References 55 publications

Strong Hydro‐Related Localized Long‐Period Crustal Deformation Observed in the Plate Boundary Observatory Borehole Strainmeters

Strong Hydro‐Related Localized Long‐Period Crustal Deformation Observed in the Plate Boundary Observatory Borehole Strainmeters

Water Availability of São Francisco River Basin Based on a Space-Borne Geodetic Sensor

A framework for deriving drought indicators from GRACE

Contact Info

Product

Resources

About