Independent patterns of water mass anomalies over Australia from satellite data and models

The Gravity Recovery and Climate Experiment (GRACE) products allow the quantification of total water storage (TWS) changes at global to regional scales. However, the quantity measured by GRACE represents mass signals integrated over vertical columns, requiring their separation into their original sources. Such a separation is vital for Australia, for which GRACE estimates are affected by leakage from the surrounding oceans. The independent component analysis (ICA) method that uses higher-order statistics, is implemented here to separate GRACE-derived water storage signals over the Australian continent from its surrounding oceans, covering from October 2002 to May 2011. The performance of ICA applied to GRACE is then compared to the ICA of WaterGAP Global Hydrology Model (WGHM) and the ICA of the Australian Water Resources Assessment (AWRA) system. To study the influence of rainfall variability on the derived independent patterns, use is made of Tropical Rainfall Measuring Mission (TRMM) data set, from January 2000 to May 2011. Implementing ICA on GRACE-TWS showed a remarkable improvement in separating the continental hydrological signals from the surrounding oceanic anomalies, which was not achievable using a conventional principle component analysis. Reconstructing the continental TWS changes using only those independent components of GRACE that were located over the continent showed a high correlation with WGHM-TWS and AWRA-TWS. Mass concentrations over the oceans and particularly S2 semi-diurnal aliased pattern were separated as independent modes. Correlation analysis between the independent components of GRACE and climate teleconnections showed that the mass anomalies over the northern ocean, Gulf of Carpentaria and north-eastern parts of Australia were significantly correlated with the El Nino-Southern Oscillation, while those over south and south-eastern parts of Australia were mainly linked to the Indian Ocean Dipole.

[1]  Jeffrey P. Walker,et al.  THE GLOBAL LAND DATA ASSIMILATION SYSTEM , 2004 .

[2]  Aapo Hyvärinen,et al.  Fast and robust fixed-point algorithms for independent component analysis , 1999, IEEE Trans. Neural Networks.

[3]  Ian T. Jolliffe,et al.  Independent Component Analysis of Climate Data: A New Look at EOF Rotation , 2009 .

[4]  Grzegorz Michalak,et al.  GFZ GRACE Level-2 Processing Standards Document for Level-2 Product Release 0005 , 2012 .

[5]  H. Storch,et al.  Statistical Analysis in Climate Research , 2000 .

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

[7]  Jean-Francois Cardoso,et al.  Blind signal separation: statistical principles , 1998, Proc. IEEE.

[8]  F. LeMoine,et al.  The use of mascons to resolve time-variable gravity from GRACE , 2007 .

[9]  Jürgen Kusche,et al.  Evaluation of GRACE filter tools from a hydrological perspective , 2009 .

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

[11]  R. Preisendorfer,et al.  Principal Component Analysis in Meteorology and Oceanography , 1988 .

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

[13]  M. Sharifi,et al.  GRACE Application to the Receding Lake Victoria Water Level and Australian Drought , 2009 .

[14]  N. Nicholls.  Local and remote causes of the southern Australian autumn-winter rainfall decline, 1958–2007 , 2010 .

[15]  T. N. Krishnamurti,et al.  The status of the tropical rainfall measuring mission (TRMM) after two years in orbit , 2000 .

[16]  Don P. Chambers,et al.  Observing seasonal steric sea level variations with GRACE and satellite altimetry , 2006 .

[17]  P. Jones,et al.  An Extension of the TahitiDarwin Southern Oscillation Index , 1987 .

[18]  M. Wheeler,et al.  On the Remote Drivers of Rainfall Variability in Australia , 2009 .

[19]  I. Miller.  Probability, Random Variables, and Stochastic Processes , 1966 .

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

[21]  Pierre Comon,et al.  Independent component analysis, A new concept? , 1994, Signal Process..

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

[23]  Richard Biancale,et al.  Quantifying FES2004 S2 tidal model from multiple space-geodesy techniques, GPS and GRACE, over North West Australia , 2009 .

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

[25]  Jens Wickert,et al.  The Falling Lake Victoria Water Level: GRACE, TRIMM and CHAMP Satellite Analysis of the Lake Basin , 2008 .

[26]  Ian T. Jolliffe,et al.  Rotation of ill-defined principal components , 1989 .

[27]  A. Ilin,et al.  Semiblind source separation of climate data detects El Nino as the component with the highest interannual variability , 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

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

[29]  Jean-François Crétaux,et al.  Recent hydrological behavior of the East African great lakes region inferred from GRACE, satellite altimetry and rainfall observations , 2010 .

[30]  Enrico Kurtenbach,et al.  Entwicklung eines Kalman-Filters zur Bestimmung kurzzeitiger Variationen des Erdschwerefeldes aus Daten der Satellitenmission GRACE , 2011 .

[31]  P. Tregoning,et al.  Quantifying GRACE data contamination effects on hydrological analysis in the Murray–Darling Basin, southeast Australia , 2010 .

[32]  R. Ray,et al.  Barometric Tides from ECMWF Operational Analyses , 2003 .

[33]  Y. Hong,et al.  The TRMM Multisatellite Precipitation Analysis (TMPA): Quasi-Global, Multiyear, Combined-Sensor Precipitation Estimates at Fine Scales , 2007 .

[34]  J. Kusche,et al.  Hydrological Signals Observed by the GRACE Satellites , 2008 .

[35]  Jianli Chen,et al.  S2 tide aliasing in GRACE time-variable gravity solutions , 2009 .

[36]  J. Kusche,et al.  Changes in total ocean mass derived from GRACE, GPS, and ocean modeling with weekly resolution , 2009 .

[37]  D. Chambers,et al.  Evaluation of high‐frequency oceanographic signal in GRACE data: Implications for de‐aliasing , 2011 .

[38]  M. Watkins,et al.  The gravity recovery and climate experiment: Mission overview and early results , 2004 .

[39]  C. Kummerow,et al.  The Tropical Rainfall Measuring Mission (TRMM) Sensor Package , 1998 .

[40]  J. Awange,et al.  Relation between GRACE-derived surface mass variations and precipitation over Australia , 2010 .

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

[42]  R S Ajayamohan,et al.  Indian ocean dipole modulates the number of extreme rainfall events over India in a warming environment , 2008 .

[43]  K. Lambeck,et al.  GRACE estimates of sea surface height anomalies in the Gulf of Carpentaria, Australia , 2008 .

[44]  W. Cai,et al.  Recent unprecedented skewness towards positive Indian Ocean Dipole occurrences and its impact on Australian rainfall , 2009 .

[45]  N. Nicholls.  The Changing Nature of Australian Droughts , 2004 .

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

[47]  M. England,et al.  What causes southeast Australia's worst droughts? , 2009 .

[48]  P. Knudsen.  Ocean Tides in GRACE Monthly Averaged Gravity Fields , 2003 .

[49]  Jeffrey P. Walker,et al.  A framework for assessing the potential of remote-sensed gravity to provide new insight on the hydrology of the Murray-Darling Basin , 2006 .

[50]  Luigi J. Renzullo,et al.  Water resource monitoring systems and the role of satellite observations , 2011 .

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

[52]  J. Awange,et al.  On the suitability of the 4° × 4° GRACE mascon solutions for remote sensing Australian hydrology , 2011 .

[53]  Matthew Rodell,et al.  Detectability of variations in continental water storage from satellite observations of the time dependent gravity field , 1999 .

[54]  Scott B. Luthcke,et al.  FAST TRACK PAPER: Tide model errors and GRACE gravimetry: towards a more realistic assessment , 2006 .

[55]  W. Cai,et al.  Dynamics of late autumn rainfall reduction over southeastern Australia , 2008 .

[56]  M. Rodell,et al.  Use of Gravity Recovery and Climate Experiment terrestrial water storage retrievals to evaluate model estimates by the Australian water resources assessment system , 2011 .

[57]  V. Zlotnicki,et al.  Australian water mass variations from GRACE data linked to Indo-Pacific climate variability , 2011 .

[58]  Matthew Rodell,et al.  Low degree spherical harmonic influences on Gravity Recovery and Climate Experiment (GRACE) water storage estimates , 2005 .

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

[60]  Upmanu Lall,et al.  Modeling multivariable hydrological series: Principal component analysis or independent component analysis? , 2007 .

[61]  P. Döll,et al.  A global hydrological model for deriving water availability indicators: model tuning and validation , 2003 .

[62]  M. Tamisiea,et al.  Self‐attraction and loading effects on ocean mass redistribution at monthly and longer time scales , 2011 .

[63]  W. Keller,et al.  GRACE hydrological monitoring of Australia: Current limitations and future prospects , 2009 .

[64]  G. Ramillien,et al.  Global time-variations of hydrological signals from GRACE satellite gravimetry , 2004 .

[65]  M. Raupach,et al.  Indian and Pacific Ocean Influences on Southeast Australian Drought and Soil Moisture , 2011 .

[66]  Timothy J. Hoar,et al.  The 1990–1995 El Niño‐Southern Oscillation Event: Longest on Record , 1996 .

[67]  黄晓燕,et al.  IgG , 2010, Definitions.

[68]  Guillaume Ramillien,et al.  Detecting hydrologic deformation using GRACE and GPS , 2009 .

[69]  S. Petrovic,et al.  Integration of GRACE mass variations into a global hydrological model , 2009 .

[70]  Erkki Oja,et al.  Independent component analysis: algorithms and applications , 2000, Neural Networks.

[71]  刘润玉,et al.  Water resource monitoring communication system and method , 2011 .

[72]  J. Cardoso,et al.  Blind beamforming for non-gaussian signals , 1993 .

[73]  Joseph L. Awange,et al.  Evaluating the TRMM 3B43 monthly precipitation product using gridded rain-gauge data over Australia , 2011 .

[74]  Athanasios Papoulis,et al.  Probability, Random Variables and Stochastic Processes , 1965 .

[75]  P. Tregoning,et al.  Tropical cyclones and the ecohydrology of Australia's recent continental‐scale drought , 2012 .

[76]  Guillaume Ramillien,et al.  Basin‐scale, integrated observations of the early 21st century multiyear drought in southeast Australia , 2009 .

[77]  W. Cai,et al.  Teleconnection Pathways of ENSO and the IOD and the Mechanisms for Impacts on Australian Rainfall , 2011 .

[78]  B. Goswami,et al.  A dipole mode in the tropical Indian Ocean , 1999, Nature.