Assessment of the capabilities of the temporal and spatiotemporal ICA method for geophysical signal separation in GRACE data

Journal of Geophysical Research: Solid Earth

Volumn 119, Issue 5, 2014, Pages 4429-4447

  Boergens, Eva ^a   Rangelova, Elena ^b   Sideris, Michael G ^b   Kusche, Juergen ^a  

^a UNIVERSITY OF BONN   (Germany)

^b UNIVERSITY OF CALGARY   (Canada)

Author keywords

GRACE; independent component analysis; principle component analysis; signal separation

Indexed keywords

COMPUTER SIMULATION; GEOPHYSICAL METHOD; GEOSTATISTICS; GLACIAL REBOUND; GRACE; PRINCIPAL COMPONENT ANALYSIS; SIGNAL PROCESSING; SPATIOTEMPORAL ANALYSIS; TEMPORAL ANALYSIS; TESTING METHOD; TREND ANALYSIS; WATER STORAGE;

AFRICA; NORTH AMERICA;

EID: 84902436374     PISSN: 21699313     EISSN: 21699356     Source Type: Journal    
DOI: 10.1002/2013JB010452     Document Type: Article

References (63)

1. Abe, M., et al. (2012), A comparison of GRACE-derived temporal gravity variations with observations of six European superconducting gravimeters, Geophys. J. Int., 191 (2), 545-556, doi: 10.1111/j.1365-246X.2012.05641.x.
2. Barletta, V., A. Bordoni, A. Aoudia, and, R. Sabadini, (2012), Squeezing more information out of time variable gravity data with a temporal decomposition approach, Global Planet. Change, 82-83, 51-64.
3. Bettadpur, S., (2007), CSR Level-2 Processing Standards Document for Product Release 04, The GRACE Project, Cent. for Space Res., Univer. of Texas at Austin, Austin, Tex.
4. Brunnabend, S., R. Rietbroek, R. Timmermann, J. Schröter, and, J. Kusche, (2011), Improving mass redistribution estimates by modeling ocean bottom pressure uncertainties, J. Geophys. Res., 16, C08037, doi: 10.1029/ 2010JC006617.
5. Chambers, D., (2006), Observing seasonal steric sea level variations with GRACE and satellite altimetry, J. Geophys. Res., 111, C03010, doi: 10.1029/2005JC002914.
6. Chambers, D., and, J. Willis, (2008), Analysis of large-scale ocean bottom pressure variability in the North Pacific, J. Geophys. Res., 113, C11003, doi: 10.1029/2008JC004930.
7. Crossley, D., C. deLinage, J. Hinderer, J.-P. Boy, and, J. Famiglietti, (2012), A comparison of the gravity field over Central Europe from superconducting gravimeters, GRACE and global hydrological models, using EOF analysis, Geophys. J. Int., 189 (2), 877-897, doi: 10.1111/j.1365-246X.2012. 05404.x.
8. deViron, O., M. Diament, and, I. Panet, (2006), Extracting low frequency climate signal from GRACE data, eEarth Discuss., 1 (1), 21-36.
9. Döll, P., F. Kaspar, and, B. Lehner, (2003), A global hydrological model for deriving water availability indicators: Model tuning and validation, J. Hydrol., 270, 105-134, doi: 10.1016/S0022-1694(02)00283-4.
10. Famiglietti, J.S., and, M. Rodell, (2013), Water in the balance, Science, 340 (6138), 1300-1301.
11. Fan, Y., and, H. vandenDool, (2004), Climate Prediction Center global monthly soil moisture data set at 0.5 resolution for 1948 to present, J. Geophys. Res., 109, D10102, doi: 10.1029/2003JD004345.
12. Flechtner, F., and, C. Finch, (2002), Non-tidal Atmosphere and Ocean Geopotential Coefficients Averaged Over Certain Time Period, Information System and Data Center, GFZ German Research Centre for Geosciences, GERMANY.
13. Forootan, E., and, J. Kusche, (2012), Separation of global time-variable gravity signals into maximally independent components, J. Geod., 86, 477-497, doi: 10.1007/s00190-011-0532-5.
14. Forootan, E., and, J. Kusche, (2013), Separation of deterministic signals using independent component analysis (ICA), Stud. Geophys. Geod., 57 (1), 17-26, doi: 10.1007/s11200-012-0718-1.
15. Frappart, F., G. Ramillien, P. Maisongrande, and, M.-P. Bonnet, (2010), Denoising satellite gravity signals by independent component analysis, IEEE Geosci. Remote Sens. Lett., 7, 421-425, doi: 10.1109/LGRS.2009.2037837.
16. Frappart, F., G. Ramillien, M. Leblanc, S.O. Tweed, M.-P. Bonnet, and, P. Maisongrande, (2011), An independent component analysis filtering approach for estimating continental hydrology in the GRACE gravity data, Remote Sens. Environ., 115, 187-204, doi: 10.1016/j.rse.2010.08.017.
17. Fukumori, I., (2002), A partitioned Kalman filter and smoother, Mon. Weather Rev., 130 (5), 1370-1383, doi: 10.1175/1520-0493(2002)130<1370: APKFAS>2.0.CO;2.
18. García-García, D., C. Ummenhofer, and, V. Zlotnicki, (2011), Australian water mass variations from GRACE data linked to Indo-Pacific climate variability, Remote Sens. Environ., 115 (9), 2175-2183.
19. Gegout, P., (2005), Load Love numbers. [Available at http://gemini.gsfc. nasa.gov/aplo/Load-Love2-CM.dat.]
20. Ghil, M., et al. (2002), Advanced spectral methods for climatic time series, Rev. Geophys., 40 (1), 1003, doi: 10.1029/2000RG000092.
21. GRACEScienceDataSystem (2002), Static Field Geopotential Coefficients Estimated from Satellite Data Only, Information System and Data Center, GFZ German Research Centre for Geosciences, Germany.
22. Güntner, A., J. Stuck, S. Werth, P. Döll, K. Verzano, and, B. Merz, (2007), A global analysis of temporal and spatial variations in continental water storage, Water Resour. Res., 43, W05416, doi: 10.1029/2006WR005247.
23. Hyvärinen, A., (1998), New approximations of differential entropy for independent component analysis and projection pursuit, in Proceedings of the 1997 Conference on Advances in Neural Information Processing Systems 10, NIPS '97, pp. 273-279, MIT Press, Cambridge, Mass.
24. Hyvärinen, A., (1999a), Survey on independent component analysis, Neural Comput. Surv., 2, 94-128.
25. Hyvärinen, A., (1999b), Fast and robust fixed-point algorithms for independent component analysis, IEEE Trans. Neural Networks, 10 (3), 626-634, doi: 10.1109/72.761722.
26. Hyvärinen, A., and, E. Oja, (2000), Independent component analysis: Algorithms and applications, Neural Networks, 13, 411-430, doi: 10.1016/S0893-6080(00)00026-5.
27. Jensen, L., (2010), Schätzung der Eismassenbilanz von Grönland mit Hilfe von GRACE und komplementären Daten, Masterthesis, Rheinische Friedrich-Wilhelms-Universität Bonn.
28. Jolliffe, I., (2002), Principal Component Analysis, 2nded., 487 pp., Springer Series in Statistics, Springer, New York.
29. Kim, S., T. Lee, and, I. Fukumori, (2007), Mechanisms controlling the interannual variation of mixed layer temperature averaged over the Nino-3 region, J. Clim., 20, 3822-3843, doi: 10.1175/JCLI4206.1.
30. Kusche, J., (2007), Approximate decorrelation and non-isotropic smoothing of time-variable GRACE-type gravity field models, J. Geod., 81, 733-749, doi: 10.1007/s00190-007-0143-3.
31. Kusche, J., R. Schmidt, S. Petrovic, and, R. Rietbroek, (2009), Decorrelated GRACE time-variable gravity solutions by GFZ, and their validation using a hydrological model, J. Geod., 83, 903-913, doi: 10.1007/s00190-009-0308- 3.
32. Lorenz, E.N., (1956), Empirical orthogonal functions and statistical weather prediction, Sci. Rep. No. 1, Statistical Forecasting Project, M.I.T., Cambridge, Mass.
33. Luthcke, S., A. Arendt, D. Rowlands, J. McCarthy, and, C. Larsen, (2008), Recent glacier mass changes in the Gulf of Alaska region from GRACE mascon solutions, J. Glaciol., 54, 767-777, doi: 10.3189/002214308787779933.
34. Milly, P., and, A. Shmakin, (2002), Global modeling of land water and energy balances. Part I: The land dynamics (LaD) model, J. Hydrometeorol., 3 (3), 283-299.
35. Mohamed, Y., B. vandenHurk, H. Savenije, and, W. Bastiaanssen, (2005), Hydroclimatology of the Nile: Results from a regional climate model, Hydrol. Earth Syst. Sci., 9 (3), 263-278.
36. Nerem, R., K. Rachlin, and, B. Beckley, (1997), Characterization of global mean sea level variations observed by TOPEX/POSEIDON using empirical orthogonal functions, Surv. Geophys., 18 (2-3), 293-302.
37. North, G.R., T.L. Bell, R.F. Cahalan, and, F.J. Moeng, (1982), Sampling errors in the estimation of empirical orthogonal functions, Mon. Weather Rev., 110, 699-706.
38. Peltier, W., (2004), Global glacial isostasy and the surface of the ice-age earth: The ICE-5G (VM2) model and GRACE, Annu. Rev. Earth Planet. Sci., 32, 111-149.
39. Preisendorfer, R., (1988), Principal Component Analysis in Meteorolgy and Oceanography, Elsevier, Amsterdam, Netherlands.
40. Ramillien, G., A. Lombard, A. Cazenave, E. Ivins, M. Llubes, F. Remy, and, R. Biancale, (2006), Interannual variations of the mass balance of the Antarctica and Greenland ice sheets from GRACE, Global Planet. Change, 53 (3), 198-208, doi: 10.1016/j.gloplacha.2006.06.003.
41. Rangelova, E., W. vanderWal, A. Braun, M.G. Sideris, and, P. Wu, (2007), Analysis of Gravity Recovery and Climate Experiment time-variable mass redistribution signals over North America by means of principal component analysis, J. Geophys. Res., 112, F03002, doi: 10.1029/2006JF000615.
42. Rangelova, E., W. vanderWal, M. Sideris, and, P. Wu, (2009), Spatiotemporal analysis of the GRACE-derived mass variations in North America by means of multi-channel singular spectrum analysis, in IAG Symposia Gravity, Geoid and Earth Observation, vol.135, edited by, S. Mertikas, pp. 539-546, Springer, Chania, Greece.
43. Rangelova, E., M. Sideris, and, J. Kim, (2012), On the capabilities of the multi-channel singular spectrum method for extracting the main periodic and non-periodic variability from weekly GRACE data, J. Geod., 54, 64-78, doi: 10.1016/j.jog.2011.10.006.
44. Rieser, D., M. Kuhn, R. Pail, I. Anjasmara, and, J. Awange, (2010), Relation between GRACE-derived surface mass variations and precipitation over Australia, Aust. J. Earth Sci., 57, 887-900, doi: 10.1080/08120099.2010.512645.
45. Rignot, E., I. Velicogna, M. VandenBroeke, A. Monaghan, and, J. Lenaerts, (2011), Acceleration of the contribution of the Greenland and Antarctic ice sheets to sea level rise, Geophys. Res. Lett., 38, L05503, doi: 10.1029/2011GL046583.
46. Rodell, M., et al. (2004), The global land data assimilation system, Bull. Am. Meteorol. Soc., 85, 381-394.
47. Schmeer, M., M. Schmidt, W. Bosch, and, F. Seitz, (2012), Separation of mass signals within GRACE monthly gravity field models by means of empirical orthogonal functions, J. Geod., 59-60, 124-132, doi: 10.1016/j.jog.2012.03.001.
48. Schmidt, R., S. Petrovic, A. Güntner, F. Barthelmes, J. Wünsch, and, J. Kusche, (2008a), Periodic components of water storage changes from GRACE and global hydrology models, J. Geophys. Res., 113, B08419, doi: 10.1029/2007JB005363.
49. Schmidt, R., F. Flechtner, U. Meyer, K.-H. Neumayer, C. Dahle, R. König, and, J. Kusche, (2008b), Hydrological signals observed by the GRACE satellites, Surv. Geophys., 29 (4-5), 319-334, doi: 10.1007/s10712-008-9033-3.
50. Schrama, E.J.O., B. Wouters, and, D.A. Lavalle, (2007), Signal and noise in Gravity Recovery and Climate Experiment (GRACE) observed surface mass variations, J. Geophys. Res., 112, B08407, doi: 10.1029/2006JB004882.
51. Stone, J., J. Porril, N. Porter, and, I. Wilkinson, (2002), Spatiotemporal independent component analysis of event-related fMRI data using skewed probability density functions, NeuroImage, 15, 407-421, doi: 10.1006/nimg.2001.0986.
52. Stone, J.V., (2004), Independent Component Analysis: A Tutorial Introduction, The MIT Press, Cambridge, Mass.
53. Swenson, S., and, J. Wahr, (2002), Methods for inferring regional surface-mass anomalies from Gravity Recovery and Climate Experiment (GRACE) measurements of time-variable gravity, J. Geophys. Res., 107 (B9), 2193, doi: 10.1029/2001JB000576.
54. Tapley, B., S. Bettadpur, M. Watkins, and, C. Reigber, (2004), The gravity recovery and climate experiment: Mission overview and early results, Geophys. Res. Lett., 31, 1-4, doi: 10.1029/2004GL019920.
55. Thorncroft, C., H. Nguyen, C. Zhang, and, P. Peyrille, (2011), Annual cycle of the West African monsoon: Regional circulations and associated water vapour transport, Q. J. R. Meteorol. Soc., 137 (654), 129-147, doi: 10.1002/qj.728.
56. Timmermann, R., S. Danilov, J. Schröter, C. Böning, D. Sidorenko, and, K. Rollenhagen, (2009), Ocean circulation and sea ice distribution in a finite element global sea ice and ocean model, Ocean Model., 27, 114-129, doi: 10.1016/j.ocemod.2008.10.009.
57. vanderWal, W., E. Kurtenbach, J. Kusche, and, B. Vermeersen, (2011), Radial and tangential gravity rates from GRACE in areas of glacial isostatic adjustment, Geophys. J. Int., 187 (2), 797-812.
58. Vianna, M., V. Menezes, and, D. Chambers, (2007), A high resolution satellite-only GRACE-based mean dynamic topography of the South Atlantic Ocean, Geophys. Res. Lett., 34, L24604, doi: 10.1029/2007GL031912.
59. Wahr, J., M. Molenaar, and, F. Bryan, (1998), Time variability of the Earth's gravity field: Hydrological and oceanic effects and their possible detection using GRACE, J. Geophys. Res., 103 (B12), 30,205-30,229, doi: 10.1029/98JB02844.
60. Wang, H., L. Jia, H. Steffen, P. Wu, L. Jiang, H. Hsu, L. Xiang, Z. Wang, and, B. Hu, (2012), Increased water storage in North America and Scandinavia from GRACE gravity data, Nat. Geosci., 6, 38-42, doi: 10.1038/ngeo1652.
61. Wouters, B., and, E.J.O. Schrama, (2007), Improved accuracy of GRACE gravity solutions through empirical orthogonal function filtering of spherical harmonics, Geophys. Res. Lett., 34, L23711, doi: 10.1029/2007GL032098.
62. Wu, X., M. Heflin, H. Schotman, B. Vermeersen, D. Dong, R. Gross, E. Ivins, A. Moore, and, S. Owen, (2010), Simultaneous estimation of global present-day water transport and glacial isostatic adjustment, Nat. Geosci., 3 (9), 642-646, doi: 10.1038/ngeo938.
63. Zotov, L., and, C. Shum, (2010), Multichannel singular spectrum analysis of the gravity field data from GRACE satellites, in Astrophysics and Cosmology After Gamow, vol. 1206, edited by, S. K. Chakrabarti, A.I. Zhuk, and, G.S. Bisnovatyi-Kogan, pp. 473-479, Am. Inst. Phys., Odessa, Ukraine, doi: 10.1063/1.3292557.