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Article ; Online: Overview of terrestrial water storage changes over the Indus River Basin based on GRACE/GRACE-FO solutions.

Zhu, Yu / Liu, Shiyin / Yi, Ying / Xie, Fuming / Grünwald, Richard / Miao, Wenfei / Wu, Kunpeng / Qi, Miaomiao / Gao, Yongpeng / Singh, Dharmaveer

The Science of the total environment

2021 Volume 799, Page(s) 149366

Abstract: ... Climate Experiment (GRACE) and Follow-On (GRACE-FO). Our results show that (i) TWS Anomaly (TWSA) experienced ...

Abstract	Water resources are under severe stress in the highly populated Indus River Basin due to the increased consumption of water across different sectors and climate change. Coping with these challenges, requires a clear understanding on hydrological processes and anthropogenic activities, and how these are influencing recharging and spatiotemporal availability of groundwater in the basin. The present study aims to investigate the natural and anthropogenic impact on Terrestrial Water Storage (TWS) over the Indus River Basin by using a series of statistical methods and the observation data from the Gravity Recovery and Climate Experiment (GRACE) and Follow-On (GRACE-FO). Our results show that (i) TWS Anomaly (TWSA) experienced a significant decrease from 2002 to 2020, particularly in the MUIP; (ii) the UIB showed a weak decreasing trend in TWSA as a result of the accelerated glacier melting; (iii) there was significant loss of groundwater (1.57 mm/month) caused by ineffective water management and over-exploitation; and (iv) assisted by favorable meteorological conditions, the precipitation presented a positive trend against the weakness of the Westerlies, which exerted the positive influence on TWSA.
MeSH term(s)	Environmental Monitoring ; Groundwater ; Hydrology ; Rivers ; Water
Chemical Substances	Water (059QF0KO0R)
Language	English
Publishing date	2021-07-31
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	121506-1
ISSN	1879-1026 ; 0048-9697
ISSN (online)	1879-1026
ISSN	0048-9697
DOI	10.1016/j.scitotenv.2021.149366
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Article ; Online: Estimation of Evapotranspiration in the Yellow River Basin from 2002 to 2020 Based on GRACE and GRACE Follow-On Observations

Wei Qu / Zehui Jin / Qin Zhang / Yuan Gao / Pufang Zhang / Peinan Chen

Remote Sensing, Vol 14, Iss 730, p

2022 Volume 730

Abstract: ... of water resources. Here, we made full use of the advantages of the Gravity Recovery and Climate Experiment (GRACE ... and GRACE Follow-On (GRACE-FO) gravity satellites for monitoring large-scale hydrological changes ... ET monitoring methods and products, the ET estimated by GRACE/GRACE-FO observations provides a new ...

Abstract	Evapotranspiration (ET) plays an important role in the hydrological cycle of river basins. Studying ET in the Yellow River Basin (YRB) is greatly significant for the scientific management of water resources. Here, we made full use of the advantages of the Gravity Recovery and Climate Experiment (GRACE) and GRACE Follow-On (GRACE-FO) gravity satellites for monitoring large-scale hydrological changes to calculate the terrestrial water storage anomaly (TWSA) and terrestrial water flux in the YRB from May 2002 to June 2020. Furthermore, combined with terrestrial water flux, precipitation, and runoff data, ET in the YRB was calculated based on the water budget equation and then compared with other traditional ET products. The mutation of annual mean ET was identified by the Mann–Kendall trend test method, and the seasonal and interannual variations of ET were explored. ET was closely related to precipitation. Annual mean ET exhibited a sudden change in 2011, with an insignificant downward trend from 2003 to 2010, followed by an increasing trend from 2011 to 2019, particularly after 2016. Compared with the traditional ET monitoring methods and products, the ET estimated by GRACE/GRACE-FO observations provides a new way to effectively obtain continuous and reliable ET data in a wide range of river basins.
Keywords	GRACE ; GRACE Follow-On ; the Yellow River Basin ; TWSA ; evapotranspiration ; Science ; Q
Subject code	550
Language	English
Publishing date	2022-02-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
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Article: Estimation of Evapotranspiration in the Yellow River Basin from 2002 to 2020 Based on GRACE and GRACE Follow-On Observations

Qu, Wei / Jin, Zehui / Zhang, Qin / Gao, Yuan / Zhang, Pufang / Chen, Peinan

Remote Sensing. 2022 Feb. 04, v. 14, no. 3

2022

Abstract	Evapotranspiration (ET) plays an important role in the hydrological cycle of river basins. Studying ET in the Yellow River Basin (YRB) is greatly significant for the scientific management of water resources. Here, we made full use of the advantages of the Gravity Recovery and Climate Experiment (GRACE) and GRACE Follow-On (GRACE-FO) gravity satellites for monitoring large-scale hydrological changes to calculate the terrestrial water storage anomaly (TWSA) and terrestrial water flux in the YRB from May 2002 to June 2020. Furthermore, combined with terrestrial water flux, precipitation, and runoff data, ET in the YRB was calculated based on the water budget equation and then compared with other traditional ET products. The mutation of annual mean ET was identified by the Mann–Kendall trend test method, and the seasonal and interannual variations of ET were explored. ET was closely related to precipitation. Annual mean ET exhibited a sudden change in 2011, with an insignificant downward trend from 2003 to 2010, followed by an increasing trend from 2011 to 2019, particularly after 2016. Compared with the traditional ET monitoring methods and products, the ET estimated by GRACE/GRACE-FO observations provides a new way to effectively obtain continuous and reliable ET data in a wide range of river basins.
Keywords	climate ; equations ; evapotranspiration ; gravity ; hydrologic cycle ; mutation ; rivers ; runoff ; water budget ; water storage ; watersheds ; Yellow River
Language	English
Dates of publication	2022-0204
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
ZDB-ID	2513863-7
ISSN	2072-4292
ISSN	2072-4292
DOI	10.3390/rs14030730
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Prognostic Value of GRACE Risk Score Combined With Systemic Immune-Inflammation Index in Patients With ST-Segment Elevation Myocardial Infarction After Percutaneous Coronary Intervention.

Wang, Jiaqi / Zhang, Feifei / Liu, Litian / Gao, Man / Song, Xuelian / Li, Yingxiao / Dang, Yi / Qi, Xiaoyong

Angiology

2023 , Page(s) 33197231213674

Abstract: The Global Registry of Acute Coronary Events (GRACE) score and the systemic immune-inflammation ... myocardial infarction (STEMI). In this study, 1041 patients with STEMI were divided into 4 groups based on GRACE scores ... and optimal cutoff values for SII. SII was positively correlated with GRACE score (r = 0.164; ...

Abstract	The Global Registry of Acute Coronary Events (GRACE) score and the systemic immune-inflammation index (SII) were used independently to predict adverse outcomes in patients with ST-elevation myocardial infarction (STEMI). In this study, 1041 patients with STEMI were divided into 4 groups based on GRACE scores and optimal cutoff values for SII. SII was positively correlated with GRACE score (r = 0.164;
Language	English
Publishing date	2023-11-07
Publishing country	United States
Document type	Journal Article
ZDB-ID	80040-5
ISSN	1940-1574 ; 0003-3197
ISSN (online)	1940-1574
ISSN	0003-3197
DOI	10.1177/00033197231213674
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Article: The Relevance of Interventional Time and Clinical Outcomes in Patients with NSTEMI Based on the GRACE Score.

Wang, Ji-Xiang / Gao, Jing / Xiao, Jian-Yong / Gao, Ming-Dong / Zhang, Nan / Lu, Peng-Ju / Liu, Yin

publication RETRACTED

Applied bionics and biomechanics

2022 Volume 2022, Page(s) 7614619

Abstract: ... divided into different groups according to GRACE scores and the time from admission ... to percutaneous coronary intervention (PCI).: Method: Patients were grouped according to the GRACE score and the time from admission ... the GRACE score and the time from admission to intervention therapy with major adverse cardiovascular events ...

Abstract	Objective: To investigate the relevance between interventional time and clinical outcomes in non-ST-elevation myocardial infarction (NSTEMI) patients of different risk stratifications, which were divided into different groups according to GRACE scores and the time from admission to percutaneous coronary intervention (PCI). Method: Patients were grouped according to the GRACE score and the time from admission to intervention therapy. The Cox multivariate risk regression model was used to analyze the correlation between the GRACE score and the time from admission to intervention therapy with major adverse cardiovascular events (MACEs). Cox interactive item regression was also used to investigate the correlation between the time of intervention therapy and GRACE risk stratification with clinical outcomes and to evaluate the efficacy of intervention therapy in different risk stratifications of patients with NSTEMI. Results: Interactive item Cox regression analysis and subgroup analysis show that high-risk NSTEMI patients with a GRACE score > 140 points and the time from admission to intervention < 24 h ( Conclusion: The time from admission to intervention < 24 h could effectively reduce the risk of MACE events within 1 year in high-risk patients with NSTEMI (GRACE score > 140 points); the time from admission to intervention > 72 h can reduce the risk of MACE events within 1 year in low-risk patients with NSTEMI (GRACE score ≤ 108 points).
Language	English
Publishing date	2022-04-29
Publishing country	Egypt
Document type	Journal Article ; Retracted Publication
ZDB-ID	2179924-6
ISSN	1754-2103 ; 1176-2322
ISSN (online)	1754-2103
ISSN	1176-2322
DOI	10.1155/2022/7614619
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Article ; Online: Determination of Weak Terrestrial Water Storage Changes from GRACE in the Interior of the Tibetan Plateau

Longwei Xiang / Hansheng Wang / Holger Steffen / Baojin Qiao / Wei Feng / Lulu Jia / Peng Gao

Remote Sensing, Vol 14, Iss 544, p

2022 Volume 544

Abstract: Time series of the Gravity Recovery and Climate Experiment (GRACE) satellite mission have been ... sensitive to the selections of different available GRACE solutions, and filters to remove north-south ... changes from 2003 to 2009 in the Tibetan Plateau and test a large set of GRACE solution-filter ...

Abstract	Time series of the Gravity Recovery and Climate Experiment (GRACE) satellite mission have been successfully used to reveal changes in terrestrial water storage (TWS) in many parts of the world. This has been hindered in the interior of the Tibetan Plateau since the derived TWS changes there are very sensitive to the selections of different available GRACE solutions, and filters to remove north-south-oriented (N-S) stripe features in the observations. This has resulted in controversial distributions of the TWS changes in previous studies. In this paper, we produce aggregated hydrology signals (AHS) of TWS changes from 2003 to 2009 in the Tibetan Plateau and test a large set of GRACE solution-filter combinations and mascon models to identify the best combination or mascon model whose filtered results match our AHS. We find that the application of a destriping filter is indispensable to remove correlated errors shown as N-S stripes. Three best-performing destriping filters are identified and, combined with two best-performing solutions, they represent the most reliable solution-filter combinations for determination of weak terrestrial water storage changes in the interior of the Tibetan Plateau from GRACE. In turn, more than 100 other tested solution-filter combinations and mascon solutions lead to very different distributions of the TWS changes inside and outside the plateau that partly disagree largely with the AHS. This is mainly attributed to less effective suppression of N-S stripe noises. Our results also show that the most effective destriping is performed within a maximum degree and order of 60 for GRACE spherical harmonic solutions. The results inside the plateau show one single anomaly in the TWS trend when additional smoothing with a 340-km-radius Gaussian filter is applied. We suggest using our identified best solution-filter combinations for the determination of TWS changes in the Tibetan Plateau and adjacent areas during the whole GRACE operation time span from 2002 to 2017 as well as the succeeding ...
Keywords	terrestrial water storage ; Tibetan Plateau ; GRACE ; gravity solution ; destriping filter ; Science ; Q
Subject code	550
Language	English
Publishing date	2022-01-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
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Article: Determination of Weak Terrestrial Water Storage Changes from GRACE in the Interior of the Tibetan Plateau

Xiang, Longwei / Wang, Hansheng / Steffen, Holger / Qiao, Baojin / Feng, Wei / Jia, Lulu / Gao, Peng

Remote Sensing. 2022 Jan. 24, v. 14, no. 3

2022

Abstract	Time series of the Gravity Recovery and Climate Experiment (GRACE) satellite mission have been successfully used to reveal changes in terrestrial water storage (TWS) in many parts of the world. This has been hindered in the interior of the Tibetan Plateau since the derived TWS changes there are very sensitive to the selections of different available GRACE solutions, and filters to remove north-south-oriented (N-S) stripe features in the observations. This has resulted in controversial distributions of the TWS changes in previous studies. In this paper, we produce aggregated hydrology signals (AHS) of TWS changes from 2003 to 2009 in the Tibetan Plateau and test a large set of GRACE solution-filter combinations and mascon models to identify the best combination or mascon model whose filtered results match our AHS. We find that the application of a destriping filter is indispensable to remove correlated errors shown as N-S stripes. Three best-performing destriping filters are identified and, combined with two best-performing solutions, they represent the most reliable solution-filter combinations for determination of weak terrestrial water storage changes in the interior of the Tibetan Plateau from GRACE. In turn, more than 100 other tested solution-filter combinations and mascon solutions lead to very different distributions of the TWS changes inside and outside the plateau that partly disagree largely with the AHS. This is mainly attributed to less effective suppression of N-S stripe noises. Our results also show that the most effective destriping is performed within a maximum degree and order of 60 for GRACE spherical harmonic solutions. The results inside the plateau show one single anomaly in the TWS trend when additional smoothing with a 340-km-radius Gaussian filter is applied. We suggest using our identified best solution-filter combinations for the determination of TWS changes in the Tibetan Plateau and adjacent areas during the whole GRACE operation time span from 2002 to 2017 as well as the succeeding GRACE-FO mission.
Keywords	climate ; hydrology ; models ; satellites ; time series analysis ; water storage ; China
Language	English
Dates of publication	2022-0124
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
ZDB-ID	2513863-7
ISSN	2072-4292
ISSN	2072-4292
DOI	10.3390/rs14030544
Database	NAL-Catalogue (AGRICOLA)

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Article: Sparse DDK: A Data-Driven Decorrelation Filter for GRACE Level-2 Products

Qian, Nijia / Chang, Guobin / Ditmar, Pavel / Gao, Jingxiang / Wei, Zhengqiang

Remote Sensing. 2022 June 11, v. 14, no. 12

2022

Abstract: High-frequency and correlated noise filtering is one of the important preprocessing steps for GRACE ... GRACE) monthly solution. The covariance matrix of the sparse DDK filtered solution is also developed ... discarded. The Center for Space Research (CSR) GRACE monthly solutions and their error covariance matrices ...

Abstract	High-frequency and correlated noise filtering is one of the important preprocessing steps for GRACE level-2 products before calculating mass anomaly. Decorrelation and denoising kernel (DDK) filters are usually considered as such optimal filters to solve this problem. In this work, a sparse DDK filter is proposed. This is achieved by replacing Tikhonov regularization in traditional DDK filters with weighted L1 norm regularization. The proposed sparse DDK filter adopts a time-varying error covariance matrix, while the equivalent signal covariance matrix is adaptively determined by the Gravity Recovery and Climate Experiment (GRACE) monthly solution. The covariance matrix of the sparse DDK filtered solution is also developed from the Bayesian and error-propagation perspectives, respectively. Furthermore, we also compare and discuss the properties of different filters. The proposed sparse DDK has all the advantages of traditional filters, such as time-varying, location inhomogeneity, and anisotropy, etc. In addition, the filtered solution is sparse; that is, some high-degree and high-order terms are strictly zeros. This sparsity is beneficial in the following sense: high-degree and high-order sparsity mean that the dominating noise in high-degree and high-order terms is completely suppressed, at a slight cost that the tiny signals of these terms are also discarded. The Center for Space Research (CSR) GRACE monthly solutions and their error covariance matrices, from January 2004 to December 2010, are used to test the performance of the proposed sparse DDK filter. The results show that the sparse DDK can effectively decorrelate and denoise these data.
Keywords	Bayesian theory ; anisotropy ; climate ; seeds ; variance covariance matrix
Language	English
Dates of publication	2022-0611
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
ZDB-ID	2513863-7
ISSN	2072-4292
ISSN	2072-4292
DOI	10.3390/rs14122810
Database	NAL-Catalogue (AGRICOLA)

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Article: Overview of terrestrial water storage changes over the Indus River Basin based on GRACE/GRACE-FO solutions

Zhu, Yu / Liu, Shiyin / Yi, Ying / Xie, Fuming / Grünwald, Richard / Miao, Wenfei / Wu, Kunpeng / Qi, Miaomiao / Gao, Yongpeng / Singh, Dharmaveer

Science of the total environment. 2021 Dec. 10, v. 799

2021

Abstract: ... Climate Experiment (GRACE) and Follow-On (GRACE-FO). Our results show that (i) TWS Anomaly (TWSA) experienced ...

Abstract	Water resources are under severe stress in the highly populated Indus River Basin due to the increased consumption of water across different sectors and climate change. Coping with these challenges, requires a clear understanding on hydrological processes and anthropogenic activities, and how these are influencing recharging and spatiotemporal availability of groundwater in the basin. The present study aims to investigate the natural and anthropogenic impact on Terrestrial Water Storage (TWS) over the Indus River Basin by using a series of statistical methods and the observation data from the Gravity Recovery and Climate Experiment (GRACE) and Follow-On (GRACE-FO). Our results show that (i) TWS Anomaly (TWSA) experienced a significant decrease from 2002 to 2020, particularly in the MUIP; (ii) the UIB showed a weak decreasing trend in TWSA as a result of the accelerated glacier melting; (iii) there was significant loss of groundwater (1.57 mm/month) caused by ineffective water management and over-exploitation; and (iv) assisted by favorable meteorological conditions, the precipitation presented a positive trend against the weakness of the Westerlies, which exerted the positive influence on TWSA.
Keywords	anthropogenic activities ; basins ; climate ; climate change ; environment ; glaciers ; groundwater ; water management ; water storage ; watersheds ; Indus River
Language	English
Dates of publication	2021-1210
Publishing place	Elsevier B.V.
Document type	Article
ZDB-ID	121506-1
ISSN	1879-1026 ; 0048-9697
ISSN (online)	1879-1026
ISSN	0048-9697
DOI	10.1016/j.scitotenv.2021.149366
Database	NAL-Catalogue (AGRICOLA)

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Conference proceedings ; Online: GRACE-FO satellite orbit determination and Earth gravity field recovery with undifferenced ambiguity resolution

Gao, G. / Zou, X. / Zhang, S. / Kuang, K.

XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)

2023

Abstract: ... observations onboard the Gravity Recovery and Climate Experiment Follow-On (GRACE-FO) satellites are processed ... with the undifferenced IAR method. GRACE-FO satellite orbit and monthly time-variable Earth gravity field are determined ... of our Earth gravity field are recovered with a similar quality as achieved with twin GRACE-FO observation data ...

Abstract	Integer ambiguity resolution (IAR) is critical for improving the accuracy of GPS-derived orbit and Earth gravity field. However, the application of undifferenced IAR in the data processing for the low earth orbit (LEO) satellite has not been discussed yet. To this end, 1-year GPS data and accelerometer observations onboard the Gravity Recovery and Climate Experiment Follow-On (GRACE-FO) satellites are processed with the undifferenced IAR method. GRACE-FO satellite orbit and monthly time-variable Earth gravity field are determined simultaneously with the fixed GPS constellations. Initial results have demonstrated the efficiency of the method. The 3-Dimensional (3D) root-mean-square (RMS) of the generated orbit reaches 1.5 cm with the Jet Propulsion Laboratory (JPL) reduced-dynamic orbit as reference. The RMS of satellite laser ranging (SLR) and K-band ranging (KBR) residuals are well below 1.5 cm and 0.5 cm, respectively. In the single-satellite mode, significant improvement on Earth gravity field is noticed. Long wavelength signatures of our Earth gravity field are recovered with a similar quality as achieved with twin GRACE-FO observation data. While in the double-satellite mode, benefits of undifferenced IAR are subtle with mm-level KBR measurements involved. In general, the undifferenced IAR method can be treated as a powerful tool in both orbit determination and gravity field recovery. Further investigations on simultaneous estimation of orbit and gravity field are to be assessed with carrier-range observations obtained from undifferenced IAR.
Subject code	550
Language	English
Publishing date	2023-07-11
Publishing country	de
Document type	Conference proceedings ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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