An Iterative ICA-Based Reconstruction Method to Produce Consistent Time-Variable Total Water Storage Fields Using GRACE and Swarm Satellite Data

Observing global terrestrial water storage changes (TWSCs) from (inter-)seasonal to (multi-)decade time-scales is very important to understand the Earth as a system under natural and anthropogenic climate change. The primary goal of the Gravity Recovery And Climate Experiment (GRACE) satellite mission (2002–2017) and its follow-on mission (GRACE-FO, 2018–onward) is to provide time-variable gravity fields, which can be converted to TWSCs with ∼ 300 km spatial resolution; however, the one year data gap between GRACE and GRACE-FO represents a critical discontinuity, which cannot be replaced by alternative data or model with the same quality. To fill this gap, we applied time-variable gravity fields (2013–onward) from the Swarm Earth explorer mission with low spatial resolution of ∼ 1500 km. A novel iterative reconstruction approach was formulated based on the independent component analysis (ICA) that combines the GRACE and Swarm fields. The reconstructed TWSC fields of 2003–2018 were compared with a commonly applied reconstruction technique and GRACE-FO TWSC fields, whose results indicate a considerable noise reduction and long-term consistency improvement of the iterative ICA reconstruction technique. They were applied to evaluate trends and seasonal mass changes (of 2003–2018) within the world’s 33 largest river basins.

[1]  Ehsan Forootan,et al.  Comparison of Data‐Driven Techniques to Reconstruct (1992–2002) and Predict (2017–2018) GRACE‐Like Gridded Total Water Storage Changes Using Climate Inputs , 2020, Water Resources Research.

[2]  P. Bates,et al.  Comparing global hydrological models and combining them with GRACE by dynamic model data averaging (DMDA) , 2020, Advances in Water Resources.

[3]  S. Korolev,et al.  Impact of Deforestation on Streamflow in the Amur River Basin , 2019, Geosciences.

[4]  Ulrich Meyer,et al.  SLR, GRACE and Swarm Gravity Field Determination and Combination , 2019, Remote. Sens..

[5]  Frank Flechtner,et al.  Contributions of GRACE to understanding climate change , 2019, Nature Climate Change.

[6]  F. Gao,et al.  Assessment of Surface Water Resources in the Big Sunflower River Watershed Using Coupled SWAT–MODFLOW Model , 2019, Water.

[7]  W. Collischonn,et al.  Precipitation as a proxy for climate variables: application for hydrological modelling , 2019, Hydrological Sciences Journal.

[8]  C. Shum,et al.  Understanding the global hydrological droughts of 2003-2016 and their relationships with teleconnections. , 2019, The Science of the total environment.

[9]  Qiang Chen,et al.  Validation of the EGSIEM GRACE Gravity Fields Using GNSS Coordinate Timeseries and In-Situ Ocean Bottom Pressure Records , 2018, Remote. Sens..

[10]  Venkat Lakshmi,et al.  A comparative study of available water in the major river basins of the world. , 2018, Journal of hydrology.

[11]  D. Post,et al.  Warming temperatures are impacting the hydrometeorological regime of Russian rivers in the zone of continuous permafrost , 2018, The Cryosphere.

[12]  E. Forootan,et al.  Understanding linkages between global climate indices and terrestrial water storage changes over Africa using GRACE products. , 2018, The Science of the total environment.

[13]  P. Moorcroft,et al.  Land cover change explains the increasing discharge of the Paraná River , 2018, Regional Environmental Change.

[14]  N. Frolova,et al.  TERRESTRIAL WATER STORAGE CHANGE OF EUROPEAN RUSSIA AND ITS IMPACT ON WATER BALANCE , 2018 .

[15]  Wei Feng,et al.  Evaluation of Groundwater Storage Variations Estimated from GRACE Data Assimilation and State-of-the-Art Land Surface Models in Australia and the North China Plain , 2018, Remote. Sens..

[16]  Kazuhito Ichii,et al.  Hydrological Variability and Changes in the Arctic Circumpolar Tundra and the Three Largest Pan-Arctic River Basins from 2002 to 2016 , 2018, Remote. Sens..

[17]  R. Reedy,et al.  Global models underestimate large decadal declining and rising water storage trends relative to GRACE satellite data , 2018, Proceedings of the National Academy of Sciences.

[18]  S. Werth,et al.  GRACE Detected Rise of Groundwater in the Sahelian Niger River Basin , 2017 .

[19]  J. Kusche,et al.  Time-variable gravity fields and ocean mass change from 37 months of kinematic Swarm orbits , 2017 .

[20]  Zhangli Sun,et al.  Assessing Terrestrial Water Storage and Flood Potential Using GRACE Data in the Yangtze River Basin, China , 2017, Remote. Sens..

[21]  Y. Hong,et al.  Observed changes in flow regimes in the Mekong River basin , 2017 .

[22]  Guiling Wang,et al.  Unprecedented drought over tropical South America in 2016: significantly under-predicted by tropical SST , 2017, Scientific Reports.

[23]  A. Mostafaie,et al.  Large-Scale Total Water Storage and Water Flux Changes over the Arid and Semiarid Parts of the Middle East from GRACE and Reanalysis Products , 2017, Surveys in Geophysics.

[24]  A. Kruger,et al.  Historical rainfall trends in South Africa: 1921–2015 , 2017 .

[25]  R. Nerem,et al.  Ice mass change in Greenland and Antarctica between 1993 and 2013 from satellite gravity measurements , 2017, Journal of Geodesy.

[26]  Y. Hong,et al.  Global analysis of spatiotemporal variability in merged total water storage changes using multiple GRACE products and global hydrological models , 2017 .

[27]  Khandu,et al.  Changes and variability of precipitation and temperature in the Ganges–Brahmaputra–Meghna River Basin based on global high‐resolution reanalyses , 2017 .

[28]  O. Batelaan,et al.  Large-scale vegetation responses to terrestrial moisture storage changes , 2016 .

[29]  J. Morison,et al.  Proxy representation of Arctic ocean bottom pressure variability: Bridging gaps in GRACE observations , 2016 .

[30]  José A. Sobrino,et al.  Record-breaking warming and extreme drought in the Amazon rainforest during the course of El Niño 2015–2016 , 2016, Scientific Reports.

[31]  Anne Springer,et al.  Mapping probabilities of extreme continental water storage changes from space gravimetry , 2016 .

[32]  A. Bezděk,et al.  Time-variable gravity fields derived from GPS tracking of Swarm , 2016 .

[33]  J. Kusche,et al.  Developing a Complex Independent Component Analysis (CICA) Technique to Extract Non-stationary Patterns from Geophysical Time Series , 2016, Surveys in Geophysics.

[34]  A. Jäggi,et al.  Gravity field models derived from Swarm GPS data , 2016, Earth, Planets and Space.

[35]  Khandu,et al.  Exploring the influence of precipitation extremes and human water use on total water storage (TWS) changes in the Ganges‐Brahmaputra‐Meghna River Basin , 2016 .

[36]  Frank Flechtner,et al.  What Can be Expected from the GRACE-FO Laser Ranging Interferometer for Earth Science Applications? , 2016, Surveys in Geophysics.

[37]  Torsten Mayer-Gürr,et al.  Precise orbit determination based on raw GPS measurements , 2016, Journal of Geodesy.

[38]  Vincent Humphrey,et al.  Assessing Global Water Storage Variability from GRACE: Trends, Seasonal Cycle, Subseasonal Anomalies and Extremes , 2016, Surveys in Geophysics.

[39]  Di Long,et al.  Hydrologic implications of GRACE satellite data in the Colorado River Basin , 2015 .

[40]  T. Syed,et al.  Diagnosing Land Water Storage Variations in Major Indian River Basins using GRACE observations , 2015 .

[41]  Philip Marsh,et al.  Variability and extreme of Mackenzie River daily discharge during 1973–2011 , 2015 .

[42]  R. Dach,et al.  Time variable Earth’s gravity field from SLR satellites , 2015, Journal of Geodesy.

[43]  Christopher Jekeli,et al.  On the energy integral formulation of gravitational potential differences from satellite-to-satellite tracking , 2015 .

[44]  C. Ummenhofer,et al.  Multidecadal variability of the continental precipitation annual amplitude driven by AMO and ENSO , 2015 .

[45]  P. Moore,et al.  Integration of altimetric lake levels and GRACE gravimetry over Africa: Inferences for terrestrial water storage change 2003–2011 , 2014 .

[46]  Joseph L. Awange,et al.  Characterization of Ethiopian mega hydrogeological regimes using GRACE, TRMM and GLDAS datasets , 2014 .

[47]  Joseph L. Awange,et al.  Water storage changes and climate variability within the Nile Basin between 2002 and 2011 , 2014 .

[48]  E. Forootan,et al.  Dominant Patterns of Water Storage Changes in the Nile Basin During 2003–2013 , 2014 .

[49]  E. Forootan,et al.  Improving the recovery of monthly regional water storage using one year simulated observations of two pairs of GRACE-type satellite gravimetry constellation , 2014 .

[50]  Mohamed Sultan,et al.  The use of GRACE data to monitor natural and anthropogenic induced variations in water availability across Africa , 2014 .

[51]  A. Ducharne,et al.  Climate change impacts on runoff in West Africa: a review , 2014 .

[52]  Mathieu Le Coz,et al.  Long-term increase in diffuse groundwater recharge following expansion of rainfed cultivation in the Sahel, West Africa , 2014, Hydrogeology Journal.

[53]  Johannes Bouman,et al.  Estimation of the Earth`s gravity field by combining normal equation matrices from GRACE and SLR , 2014 .

[54]  Olga Didova,et al.  Comparisons of atmospheric mass variations derived from ECMWF reanalysis and operational fields, over 2003–2011 , 2014, Journal of Geodesy.

[55]  A. Bezděk,et al.  Gravity field models from kinematic orbits of CHAMP, GRACE and GOCE satellites , 2014 .

[56]  Jens Schröter,et al.  Can GPS-Derived Surface Loading Bridge a GRACE Mission Gap? , 2014, Surveys in Geophysics.

[57]  Eelco Doornbos,et al.  Thermospheric density and wind retrieval from Swarm observations , 2013, Earth, Planets and Space.

[58]  Gernot Plank,et al.  The Swarm Satellite Constellation Application and Research Facility (SCARF) and Swarm data products , 2013, Earth, Planets and Space.

[59]  Casey Brown,et al.  Climate Risk Assessment for Water Resources Development in the Niger River Basin Part II: Runoff Elasticity and Probabilistic Analysis , 2013 .

[60]  L. Descroix,et al.  The rivers of Africa: witness of climate change and human impact on the environment , 2013 .

[61]  M. Millnert,et al.  Signal Processing , 2013, 2020 27th International Conference on Mixed Design of Integrated Circuits and System (MIXDES).

[62]  M. Cheng,et al.  Deceleration in the Earth's oblateness , 2013 .

[63]  Matthew Rodell,et al.  Groundwater depletion in the Middle East from GRACE with implications for transboundary water management in the Tigris-Euphrates-Western Iran region , 2013, Water resources research.

[64]  J. Wahr,et al.  Computations of the viscoelastic response of a 3-D compressible Earth to surface loading: an application to Glacial Isostatic Adjustment in Antarctica and Canada , 2012 .

[65]  Bridget R. Scanlon,et al.  GRACE water storage estimates for the Middle East and other regions with significant reservoir and lake storage , 2012 .

[66]  Joseph L. Awange,et al.  Independent patterns of water mass anomalies over Australia from satellite data and models , 2012 .

[67]  Jürgen Kusche,et al.  Separation of global time-variable gravity signals into maximally independent components , 2012, Journal of Geodesy.

[68]  N. White,et al.  Sea-Level Rise from the Late 19th to the Early 21st Century , 2011 .

[69]  Frédéric Frappart,et al.  An independent component analysis filtering approach for estimating continental hydrology in the GRACE gravity data , 2011 .

[70]  Don P. Chambers,et al.  A Global Evaluation of Ocean Bottom Pressure from GRACE, OMCT, and Steric-Corrected Altimetry , 2010 .

[71]  Frédéric Frappart,et al.  Denoising Satellite Gravity Signals by Independent Component Analysis , 2010, IEEE Geoscience and Remote Sensing Letters.

[72]  S. Massuel,et al.  Land clearing, climate variability, and water resources increase in semiarid southwest Niger: A review , 2009 .

[73]  Alexander Ilin,et al.  Bayesian PCA for reconstruction of historical sea surface temperatures , 2009, 2009 International Joint Conference on Neural Networks.

[74]  Upmanu Lall,et al.  Interpreting variability in global SST data using independent component analysis and principal component analysis , 2009 .

[75]  J. Kusche,et al.  Decorrelated GRACE time-variable gravity solutions by GFZ, and their validation using a hydrological model , 2009 .

[76]  D. Chambers,et al.  Estimating Geocenter Variations from a Combination of GRACE and Ocean Model Output , 2008 .

[77]  Matthew Rodell,et al.  Analysis of terrestrial water storage changes from GRACE and GLDAS , 2008 .

[78]  Georgia Destouni,et al.  Hydrological responses to climate change and irrigation in the Aral Sea drainage basin , 2007 .

[79]  Bruno Merz,et al.  A global analysis of temporal and spatial variations in continental water storage , 2007 .

[80]  J. Kusche.  Approximate decorrelation and non-isotropic smoothing of time-variable GRACE-type gravity field models , 2007 .

[81]  S. Swenson,et al.  Post‐processing removal of correlated errors in GRACE data , 2006 .

[82]  M. Cheng,et al.  Variations in the Earth's oblateness during the past 28 years , 2004 .

[83]  M. Watkins,et al.  GRACE Measurements of Mass Variability in the Earth System , 2004, Science.

[84]  K. Lambeck,et al.  Estimates of the Regional Distribution of Sea Level Rise over the 1950–2000 Period , 2004 .

[85]  B. Chao,et al.  Detection of a Large-Scale Mass Redistribution in the Terrestrial System Since 1998 , 2002, Science.

[86]  Kirk G. Osadetz,et al.  Predicting average annual groundwater levels from climatic variables: an empirical model , 2002 .

[87]  Byron D. Tapley,et al.  Seasonal variations in low degree zonal harmonics of the Earth's gravity field from satellite laser ranging observations , 1999 .

[88]  F. Bryan,et al.  Time variability of the Earth's gravity field: Hydrological and oceanic effects and their possible detection using GRACE , 1998 .

[89]  P. A. Larkin,et al.  Observations on the hydrology and geohydrology of the Okavango Delta , 1998 .

[90]  Byron D. Tapley,et al.  Determination of long-term changes in the Earth's gravity field from satellite laser ranging observations , 1997 .

[91]  Janice D. Boyd,et al.  Estimation of EOF expansion coefficients from incomplete data , 1994 .

[92]  Curtis D. Mobley,et al.  The Principal Discriminant Method of Prediction: Theory and Evaluation , 1988 .

[93]  C. Jekeli.  Alternative methods to smooth the Earth's gravity field , 1981 .

[94]  Joseph L. Awange,et al.  Efficient basin scale filtering of GRACE satellite products , 2018 .

[95]  K. Neumayer,et al.  GRACE 327-743 (Gravity Recovery and Climate Experiment) : GFZ Level-2 Processing Standards Document for Level-2 Product Release 06 (Rev. 1.0, October 26, 2018) , 2018 .

[96]  J. Kusche,et al.  Improving drought simulations within the Murray-Darling Basin by combined calibration/assimilation of GRACE data into the WaterGAP Global Hydrology Model , 2018 .

[97]  Yangkang Chen,et al.  Improved principal component analysis for 3D seismic data simultaneous reconstruction and denoising , 2016 .

[98]  Joseph L. Awange,et al.  Quantifying the impacts of ENSO and IOD on rain gauge and remotely sensed precipitation products over Australia , 2016 .

[99]  H. Bock,et al.  Swarm kinematic orbits and gravity fields from 18 months of GPS data , 2016 .

[100]  Jian-hua Wang,et al.  Impacts of Climate Changes on Water Resources in Yellow River Basin, China☆ , 2016 .

[101]  P. Micklin.  Irrigation in the Aral Sea Basin , 2014 .

[102]  J. Kusche,et al.  Separation of large scale water storage patterns over Iran using GRACE, altimetry and hydrological data , 2014 .

[103]  E. Forootan.  Statistical signal decomposition techniques for analyzing time-variable satellite gravimetry data , 2014 .

[104]  Jürgen Kusche,et al.  Separation of deterministic signals using independent component analysis (ICA) , 2012, Studia Geophysica et Geodaetica.

[105]  A. Cazenave,et al.  Terrestrial Waters and Sea Level Variations on Interannual Time Scale , 2011 .

[106]  Faisal Hossain,et al.  Inter-annual Water Storage Changes in Asia from GRACE Data , 2010 .

[107]  Olaf Boebel,et al.  Validation of GRACE Gravity Fields by In-Situ Data of Ocean Bottom Pressure , 2010 .

[108]  H. Lühr,et al.  Swarm An Earth Observation Mission investigating Geospace , 2008 .

[109]  Jean-Franois Cardoso.  High-Order Contrasts for Independent Component Analysis , 1999, Neural Computation.

[110]  Aapo Hyvärinen,et al.  Survey on Independent Component Analysis , 1999 .

[111]  Antoine Souloumiac,et al.  Jacobi Angles for Simultaneous Diagonalization , 1996, SIAM J. Matrix Anal. Appl..

[112]  I. Jolliffe.  Rotation of principal components: choice of normalization constraints , 1995 .

[113]  S. J. Cohen,et al.  IMPACTS OF GLOBAL WARMING IN AN ARCTIC WATERSHED , 1992 .

[114]  J. Kusche,et al.  Journal of Geophysical Research: Atmospheres Does GRACE see the terrestrial water cycle “intensifying”? , 2022 .