Access the full text.
Sign up today, get DeepDyve free for 14 days.
J. Hart (1994)
Automated Kernel Smoothing of Dependent Data by Using Time Series Cross‐ValidationJournal of the royal statistical society series b-methodological, 56
Malgorzata Swierczynska-Chlasciak, T. Niedzielski (2020)
Forecasting the North Atlantic Oscillation index using altimetric sea level anomaliesActa Geodaetica et Geophysica, 55
F. Landerer, F. Flechtner, S. Bettadpur, C. McCullough, H. Save, C. Dahle (2020)
GRACE-FO Mission Status
Sujay Kumar, B. Zaitchik, C. Peters-Lidard, M. Rodell, R. Reichle, Bailing Li, M. Jasinski, D. Mocko, A. Getirana, G. Lannoy, M. Cosh, C. Hain, Martha Anderson, K. Arsenault, Youlong Xia, M. Ek (2016)
Assimilation of Gridded GRACE Terrestrial Water Storage Estimates in the North American Land Data Assimilation SystemJournal of Hydrometeorology, 17
B. Loomis, S. Luthcke (2017)
Mass evolution of Mediterranean, Black, Red, and Caspian Seas from GRACE and altimetry: accuracy assessment and solution calibrationJournal of Geodesy, 91
B. Scanlon, Zizhan Zhang, H. Save, D. Wiese, F. Landerer, D. Long, L. Longuevergne, Jianli Chen (2016)
Global evaluation of new GRACE mascon products for hydrologic applicationsWater Resources Research, 52
Hossein Hassani, D. Thomakos (2010)
A review on singular spectrum analysis for economic and financial time seriesStatistics and Its Interface, 3
M. Khaki, M. Khaki, J. Awange, E. Forootan, Michael Kuhn (2018)
Understanding the association between climate variability and the Nile's water level fluctuations and water storage changes during 1992-2016.The Science of the total environment, 645
G. Wilson (2016)
Time Series Analysis: Forecasting and Control,5th Edition, by George E. P. Box, Gwilym M. Jenkins, Gregory C. Reinsel and Greta M. Ljung, 2015. Published by John Wiley and Sons Inc., Hoboken, New Jersey, pp. 712. ISBN: 978-1-118-67502-1Journal of Time Series Analysis, 37
J. Eom, K. Seo, D. Ryu (2017)
Estimation of Amazon River discharge based on EOF analysis of GRACE gravity dataRemote Sensing of Environment, 191
A. Zhigljavsky (2013)
Singular Spectrum Analysis for Time Series
F. Frappart, F. Papa, A. Güntner, S. Werth, G. Ramillien, C. Prigent, W. Rossow, M. Bonnet (2009)
Interannual variations of the terrestrial water storage in the Lower Ob' Basin from a multisatellite approachHydrology and Earth System Sciences, 14
K. Bekiashev, V. Serebriakov (1981)
International Union of Geodesy and Geophysics (IUGG)
N. Iqbal, F. Hossain, Hyongki Lee, G. Akhter (2016)
Satellite Gravimetric Estimation of Groundwater Storage Variations Over Indus Basin in PakistanIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9
Koredianto Usman, M. Ramdhani (2019)
Comparison of Classical Interpolation Methods and Compressive Sensing for Missing Data Reconstruction2019 IEEE International Conference on Signals and Systems (ICSigSys)
Bailing Li, M. Rodell, B. Zaitchik, R. Reichle, R. Koster, T. Dam (2012)
Assimilation of GRACE terrestrial water storage into a land surface model: Evaluation and potential value for drought monitoring in western and central EuropeJournal of Hydrology, 446
(2019)
Post-processed GRACE/GRACE-FO geopotential GSM coefficients GFZ RL06 (level-2B product)
A. Sun, B. Scanlon, A. Aghakouchak, Zizhan Zhang (2017)
Using GRACE Satellite Gravimetry for Assessing Large-Scale Hydrologic ExtremesRemote. Sens., 9
J. Wang, B. Forman, M. Girotto, R. Reichle (2018)
Year-round Estimation of Terrestrial Water Storage in a Snow-Covered Basin through the Assimilation of Multisensor Satellite Observations from GRACE and AMSR-E, 2018
Walyeldeen Godah, M. Szelachowska, J. Krynski (2018)
Application of the PCA/EOF method for the analysis and modelling of temporal variations of geoid heights over PolandActa Geodaetica et Geophysica, 53
W. Peltier (2004)
GLOBAL GLACIAL ISOSTASY AND THE SURFACE OF THE ICE-AGE EARTH: The ICE-5G (VM2) Model and GRACEAnnual Review of Earth and Planetary Sciences, 32
L. Földváry, Victor Statov, N. Mamutov (2020)
Applicability of GRACE and GRACE-FO for monitoring water mass changes of the Aral Sea and the Caspian Sea, 26
Hossein Hassani, R. Mahmoudvand (2018)
Singular Spectrum Analysis
J. Reager, J. Famiglietti (2009)
Global terrestrial water storage capacity and flood potential using GRACEGeophysical Research Letters, 36
Shuanggen Jin, N. Haghighipour, W. Ip (2015)
Planetary Exploration and Science: Recent Results and AdvancesPlanetary Exploration and Science: Recent Results and Advances
Liangjing Zhang, H. Dobslaw, Maik Thomas (2016)
Globally gridded terrestrial water storage variations from GRACE satellite gravimetry for hydrometeorological applicationsGeophysical Journal International, 206
(2016)
Time series analysis: forecasting and control, 5th edn
Qiong Li, Zhicai Luo, B. Zhong, Hao Zhou (2018)
An Improved Approach for Evapotranspiration Estimation Using Water Balance Equation: Case Study of Yangtze River BasinWater
P. Chinnasamy, G. Agoramoorthy (2015)
Groundwater Storage and Depletion Trends in Tamil Nadu State, IndiaWater Resources Management, 29
H. Dobslaw, I. Bergmann-Wolf, R. Dill, L. Poropat, Maik Thomas, C. Dahle, S. Esselborn, R. König, F. Flechtner (2017)
A new high-resolution model of non-tidal atmosphere and ocean mass variability for de-aliasing of satellite gravity observations: AOD1B RL06Geophysical Journal International, 211
P. Chinnasamy (2017)
Depleting groundwater – an opportunity for flood storage? A case study from part of the Ganges River basin, IndiaHydrology Research, 48
(2017)
Seasonal hydrologic variations in the La Plata basin from GRACE gravity field models
H. Stephanie, S. Miguel, S. Andrew, B. Paulo, Vogt Juergen (2012)
JRC Experience on the Development of Drought Information Systems
D. Broomhead, G. King (1986)
Extracting qualitative dynamics from experimental dataPhysica D: Nonlinear Phenomena, 20
Ting Yuan, Hyongki Lee, H. Jung, A. Aierken, E. Beighley, D. Alsdorf, R. Tshimanga, Donghwan Kim (2017)
Absolute water storages in the Congo River floodplains from integration of InSAR and satellite radar altimetryRemote Sensing of Environment, 201
Gonca Ahi, Shuanggen Jin (2019)
Hydrologic Mass Changes and Their Implications in Mediterranean-Climate Turkey from GRACE MeasurementsRemote. Sens., 11
J. Adamowski, Hiu Chan, S. Prasher, B. Ozga-Zieliński, A. Sliusarieva (2012)
Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network methods for urban water demand forecasting in Montreal, CanadaWater Resources Research, 48
S. Swenson, D. Chambers, J. Wahr (2008)
Estimating Geocenter Variations from a Combination of GRACE and Ocean Model OutputJournal of Geophysical Research, 113
Qingxia Chen, T. Dam, N. Sneeuw, X. Collilieux, M. Weigelt, P. Rebischung (2013)
Singular spectrum analysis for modeling seasonal signals from GPS time seriesJournal of Geodynamics, 72
C. Bergmeir, Rob Hyndman, C. C (2016)
Bagging exponential smoothing methods using STL decomposition and Box–Cox transformationInternational Journal of Forecasting, 32
A. Sun (2013)
Predicting groundwater level changes using GRACE dataWater Resources Research, 49
(2019)
GFZ GravIS RL06 continental water storage anomaliess
Xiaorong Ding, Bryan Yan, Walter Karlen, Yuan-Ting Zhang, H. Tsang (2019)
Pulse transit time based respiratory rate estimation with singular spectrum analysisMedical & Biological Engineering & Computing, 58
Kongchang Du, Ying Zhao, J. Lei (2017)
The incorrect usage of singular spectral analysis and discrete wavelet transform in hybrid models to predict hydrological time seriesJournal of Hydrology, 552
G. Athanasopoulos, Haiyan Song, Rob Hyndman, Konstantinos Nikolopoulos, D. Wu, Nikolaos Bougioukos (2011)
The Tourism Forecasting Competition
Hui Chen (1999)
Rehabilitating missing energy use and weather data when determining retrofit energy savings in commercial buildings
S. Munier, F. Aires, S. Schlaffer, C. Prigent, F. Papa, P. Maisongrande, M. Pan (2014)
Combining data sets of satellite‐retrieved products for basin‐scale water balance study: 2. Evaluation on the Mississippi Basin and closure correction modelJournal of Geophysical Research: Atmospheres, 119
A. Anjomshoaa, M. Salmanzadeh (2018)
Filling missing meteorological data in heating and cooling seasons separatelyInternational Journal of Climatology, 39
F. Landerer, F. Flechtner, H. Save, F. Webb, T. Bandikova, W. Bertiger, S. Bettadpur, S. Byun, C. Dahle, H. Dobslaw, E. Fahnestock, N. Harvey, Z. Kang, G. Kruizinga, B. Loomis, C. McCullough, M. Murböck, P. Nagel, Meegyeong Paik, N. Pie, S. Poole, D. Strekalov, M. Tamisiea, Furun Wang, M. Watkins, H. Wen, D. Wiese, D. Yuan (2020)
Extending the Global Mass Change Data Record: GRACE Follow‐On Instrument and Science Data PerformanceGeophysical Research Letters, 47
Yunong Zhang, Ruifeng Wang, Min Yang, Mingjie Zhu, Chengxu Ye (2018)
Using full-traversal addition-subtraction frequency (ASF) method to predict possible el nino events in 2019,2020 and so forth2018 Chinese Control And Decision Conference (CCDC)
Alys Thomas, J. Reager, J. Famiglietti, M. Rodell (2014)
A GRACE‐based water storage deficit approach for hydrological drought characterizationGeophysical Research Letters, 41
Hossein Hassani, S. Heravi, A. Zhigljavsky (2009)
Forecasting European industrial production with singular spectrum analysisInternational Journal of Forecasting, 25
C. Ndehedehe, O. Okwuashi, V. Ferreira, N. Agutu (2018)
Exploring evapotranspiration dynamics over Sub-Sahara Africa (2000–2014)Environmental Monitoring and Assessment, 190
M. Tourian, J. Reager, N. Sneeuw (2018)
The Total Drainable Water Storage of the Amazon River Basin: A First Estimate Using GRACEWater Resources Research, 54
W. Gao, Jinyun Guo, Maosheng Zhou, Hongjuan Yu, Xiaodong Chen, Bing Ji (2020)
Gravity tides extracted from SSA-denoised superconducting gravity data with the harmonic analysis: a case study at Wuhan station, ChinaActa Geodaetica et Geophysica, 55
Dapeng Mu, Tianhe Xu, Guochang Xu (2020)
An investigation of mass changes in the Bohai Sea observed by GRACEJournal of Geodesy, 94
Iram Naim, T. Mahara (2018)
Comparative Analysis of Univariate Forecasting Techniques for Industrial Natural Gas ConsumptionInternational Journal of Image, Graphics and Signal Processing, 10
P. Döll, Hannes Schmied, C. Schuh, F. Portmann, A. Eicker (2014)
Global‐scale assessment of groundwater depletion and related groundwater abstractions: Combining hydrological modeling with information from well observations and GRACE satellitesWater Resources Research, 50
Fupeng Li, J. Kusche, R. Rietbroek, Zhengtao Wang, E. Forootan, Kerstin Schulze, C. Lück (2020)
Comparison of Data‐Driven Techniques to Reconstruct (1992–2002) and Predict (2017–2018) GRACE‐Like Gridded Total Water Storage Changes Using Climate InputsWater Resources Research, 56
D. Melo, B. Scanlon, Zizhan Zhang, E. Wendland, L. Yin (2016)
Reservoir storage and hydrologic responses to droughts in the Paraná River basin, south-eastern BrazilHydrology and Earth System Sciences, 20
C. Bergmeir, J. Benítez (2012)
On the use of cross-validation for time series predictor evaluationInf. Sci., 191
R. Klees, E. Zapreeva, H. Winsemius, H. Savenije (2007)
Monthly mean water storage variations by the combination of GRACE and a regional hydrological model: application to the Zambezi River
B. Gouweleeuw, A. Kvas, C. Gruber, A. Gain, Thorsten Mayer-Gürr, F. Flechtner, A. Güntner (2017)
Daily GRACE gravity field solutions track major flood events in the Ganges–Brahmaputra DeltaHydrology and Earth System Sciences, 22
Nengfang Chao, Zhicai Luo, Zhengtao Wang, T. Jin (2018)
Retrieving Groundwater Depletion and Drought in the Tigris‐Euphrates Basin Between 2003 and 2015Groundwater, 56
Wanqiu Li, Wei Wang, Chuanyin Zhang, Hanjiang Wen, Yulong Zhong, Yu Zhu, Zhen Li (2019)
Bridging Terrestrial Water Storage Anomaly During GRACE/GRACE-FO Gap Using SSA Method: A Case Study in ChinaSensors (Basel, Switzerland), 19
K. Voss, J. Famiglietti, M. Lo, C. Linage, M. Rodell, S. Swenson (2013)
Groundwater depletion in the Middle East from GRACE with implications for transboundary water management in the Tigris-Euphrates-Western Iran regionWater Resources Research, 49
Rob Hyndman, Yeasmin Khandakar (2008)
Automatic Time Series Forecasting: The forecast Package for RJournal of Statistical Software, 27
P. Unnikrishnan, V. Jothiprakash (2018)
Daily rainfall forecasting for one year in a single run using Singular Spectrum AnalysisJournal of Hydrology
M. Tiwari, J. Adamowski (2013)
Urban water demand forecasting and uncertainty assessment using ensemble wavelet‐bootstrap‐neural network modelsWater Resources Research, 49
L. Földváry (2007)
Analysis of Numerical Differentiation Methods Applied for Determination of Kinematic Velocities for LEOsPeriodica Polytechnica-civil Engineering, 51
J. Reager, J. Famiglietti (2013)
Characteristic mega-basin water storage behavior using GRACEWater Resources Research, 49
N. Iqbal, F. Hossain, Hyongki Lee, G. Akhter (2017)
Integrated groundwater resource management in Indus Basin using satellite gravimetry and physical modeling toolsEnvironmental Monitoring and Assessment, 189
D. Long, B. Scanlon, L. Longuevergne, Alexander Sun, D. Fernando, H. Save (2013)
GRACE satellite monitoring of large depletion in water storage in response to the 2011 drought in TexasGeophysical Research Letters, 40
R. Beighley, K. Eggert, Cathy Wilson, J. Rowland, Hyongki Lee (2015)
A hydrologic routing model suitable for climate‐scale simulations of arctic rivers: application to the Mackenzie River BasinHydrological Processes, 29
Rob Hyndman, G. Athanasopoulos (2013)
Forecasting: principles and practice
Muhammad Al-Zahrani, Amin Abo-Monasar (2015)
Urban Residential Water Demand Prediction Based on Artificial Neural Networks and Time Series ModelsWater Resources Management, 29
Predicted GRACE-FO TWS values (cm) for each global basin from
A. Rukhin (2002)
Analysis of Time Series Structure SSA and Related TechniquesTechnometrics, 44
K. Ghobadi‐Far, M. Šprlák, Shin‐Chan Han (2019)
Determination of ellipsoidal surface mass change from GRACE time-variable gravity dataGeophysical Journal International
Kazuyoshi Suzuki, K. Matsuo, T. Hiyama (2016)
Satellite gravimetry-based analysis of terrestrial water storage and its relationship with run-off from the Lena River in eastern SiberiaInternational Journal of Remote Sensing, 37
I. Bergmann-Wolf, Liangjing Zhang, H. Dobslaw (2014)
Global Eustatic Sea-Level Variations for the Approximation of Geocenter Motion from GraceJournal of Geodetic Science, 4
Wenjie Yin, Shin‐Chan Han, Wei Zheng, I. Yeo, Litang Hu, N. Tangdamrongsub, K. Ghobadi‐Far (2020)
Improved water storage estimates within the North China Plain by assimilating GRACE data into the CABLE modelJournal of Hydrology, 590
H. Winsemius, H. Savenije, N. Giesen, B. Hurk, E. Zapreeva, R. Klees (2006)
Assessment of Gravity Recovery and Climate Experiment (GRACE) temporal signature over the upper ZambeziWater Resources Research, 42
E. Boergens, H. Dobslaw, R. Dill, Maik Thomas, C. Dahle, M. Murböck, F. Flechtner (2020)
Modelling spatial covariances for terrestrial water storage variations verified with synthetic GRACE-FO dataGEM - International Journal on Geomathematics, 11
Tengyu Zhang, Shuanggen Jin (2016)
Evapotranspiration Variations in the Mississippi River Basin Estimated From GPS ObservationsIEEE Transactions on Geoscience and Remote Sensing, 54
G. Szépszó, I. Lingemann, B. Klein, Mária Kovács (2014)
Impact of climate change on hydrological conditions of Rhine and Upper Danube rivers based on the results of regional climate and hydrological modelsNatural Hazards, 72
B. Tapley, S. Bettadpur, J. Ries, P. Thompson, M. Watkins (2004)
GRACE Measurements of Mass Variability in the Earth SystemScience, 305
J. Stagl, F. Hattermann (2015)
Impacts of Climate Change on the Hydrological Regime of the Danube River and Its Tributaries Using an Ensemble of Climate ScenariosWater, 7
W. Seyoum (2018)
Characterizing water storage trends and regional climate influence using GRACE observation and satellite altimetry data in the Upper Blue Nile River BasinJournal of Hydrology
V. Pedinotti, A. Boone, B. Decharme, J. Crétaux, N. Mognard, G. Panthou, F. Papa, B. Tanimoun
Hydrology and Earth System Sciences Evaluation of the Isba-trip Continental Hydrologic System over the Niger Basin Using in Situ and Satellite Derived Datasets v. Pedinotti Et Al.: Isba-trip Continental Hydrologic System over the Niger Basin
P. Brockwell, R. Davis (1998)
Introduction to time series and forecasting
J. Reager, B. Thomas, J. Famiglietti (2014)
River basin flood potential inferred using GRACE gravity observations at several months lead timeNature Geoscience, 7
J. Pfeffer, M. Boucher, J. Hinderer, G. Favreau, J. Boy, C. Linage, B. Cappelaere, B. Luck, M. Oï, N. Moigne (2011)
Local and global hydrological contributions to time-variable gravity in Southwest NigerGeophysical Journal International, 184
E. Forootan, M. Khaki, M. Khaki, M. Schumacher, V. Wulfmeyer, N. Mehrnegar, A. Dijk, L. Brocca, Saeed Farzaneh, F. Akinluyi, Guillaume Ramillien, C. Shum, J. Awange, A. Mostafaie (2019)
Understanding the global hydrological droughts of 2003-2016 and their relationships with teleconnections.The Science of the total environment, 650 Pt 2
J. Adamowski, Hiu Chan (2011)
A wavelet neural network conjunction model for groundwater level forecastingJournal of Hydrology, 407
Amritendu Mukherjee, Parthasarathy Ramachandran (2018)
Prediction of GWL with the help of GRACE TWS for unevenly spaced time series data in India : Analysis of comparative performances of SVR, ANN and LRMJournal of Hydrology, 558
M. Rodell, I. Velicogna, J. Famiglietti (2009)
Satellite-based estimates of groundwater depletion in IndiaNature, 460
Dazhong Han, J. Wahr (1995)
The viscoelastic relaxation of a realistically stratified earth, and a further analysis of postglacial reboundGeophysical Journal International, 120
H. Beck, N. Zimmermann, T. McVicar, N. Vergopolan, A. Berg, E. Wood (2020)
Publisher Correction: Present and future Köppen-Geiger climate classification maps at 1-km resolutionScientific Data, 7
S. Swenson, J. Wahr (2002)
Methods for inferring regional surface‐mass anomalies from Gravity Recovery and Climate Experiment (GRACE) measurements of time‐variable gravityJournal of Geophysical Research, 107
Peng Yang, J. Xia, Che-sheng Zhan, Yunfeng Qiao, Yueling Wang (2017)
Monitoring the spatio-temporal changes of terrestrial water storage using GRACE data in the Tarim River basin between 2002 and 2015.The Science of the total environment, 595
D. Svehla, L. Földváry (2006)
From Kinematic Orbit Determination to Derivation of Satellite Velocity and Gravity Field
J. Ludescher, A. Bunde, S. Havlin, H. Schellnhuber (2019)
Very early warning signal for El Niño in 2020 with a 4 in 5 likelihoodarXiv: Atmospheric and Oceanic Physics
D. Panda, J. Wahr (2016)
Spatiotemporal evolution of water storage changes in India from the updated GRACE‐derived gravity recordsWater Resources Research, 52
F. Landerer, Sean Swenson (2012)
Accuracy of scaled GRACE terrestrial water storage estimatesWater Resources Research, 48
L. Bodri (2001)
Precipitation prediction with neural networksActa Geodaetica et Geophysica Hungarica, 36
Qing He, H. Fok, Qiang Chen, K. Chun (2018)
Water Level Reconstruction and Prediction Based on Space-Borne Sensors: A Case Study in the Mekong and Yangtze River BasinsSensors (Basel, Switzerland), 18
(2019)
Monthly estimates of C(2,0) generated by GFZ from SLR satellites based on GFZ GRACE/GRACE-FO RL06 background models
S. Vey, H. Steffen, Jürgen Müller, J. Boike (2013)
Inter-annual water mass variations from GRACE in central SiberiaJournal of Geodesy, 87
Gravity Recovery and Climate Experiment (GRACE) and the GRACE-Follow-On (GRACE-FO) gravimetric missions provide essential data for remotely measure large-scale Terrestrial Water Storage (TWS) changes on a regional and global scale. However, during the operating time of the gravimetric missions, monthly or almost yearly data gaps may induce and fail to provide continuous information. Quantifying and predicting the TWS variations is very important for uninterrupted environmental monitoring, to be prepared for the consequences of the climatic change and water resources studies. This paper proposes to predict the TWS variability of 19 global basins from 2019 to 2022 using the traditional Seasonal Autoregressive Integrated Moving Average, Error Trend Seasonal, and Singular Spectrum Analysis as newer time series analysis modeling and prediction approach. For this purpose, the integrated GRACE/GRACE-FO Level-3 Release 06 data from the German Research Centre (GFZ) have been privileged. The accuracy of the resulted TWS predictions has been evaluated based on the use of the mentioned approaches, the cross-validation method, and the root-mean-square-error. Using integrated GRACE/GRACE-FO data, the research strategy in this paper is to become a reference to study the TWS prediction of the new GRACE-FO mission and to bridge the gap between GRACE/GRACE-FO missions. For some global basins, the obtained TWS prediction results reveal a continuous negative or positive TWS during the study period 2019–2022. In conclusion, September 2020 and 2021 are expected to be important dates in terms of TWS decrease affecting all basins in different order of magnitude.
"Acta Geodaetica et Geophysica" – Springer Journals
Published: Apr 16, 2021
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.