Analysis of hydroclimatic variability and trends using a novel empirical mode decomposition: Application to the Paraná River Basin

Journal of Geophysical Research

Volumn 119, Issue 3, 2014, Pages 1218-1233

  Antico, A ^a,b   Schlotthauer, G ^a,c   Torres, M E ^a,b,c  

^a National Scientific and Technical Research Council ^*  (Argentina)

^b UNIVERSIDAD NACIONAL DEL LITORAL   (Argentina)

^c UNIVERSIDAD NACIONAL DE ENTRE RÍOS   (Argentina)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC PRESSURE; GLOBAL WARMING; SPURIOUS SIGNAL NOISE; TIME SERIES ANALYSIS;

ADAPTIVE NOISE; EMPIRICAL MODE DECOMPOSITION; ENSEMBLE EMPIRICAL MODE DECOMPOSITION; ENSEMBLE EMPIRICAL MODE DECOMPOSITIONS (EEMD); HYDROCLIMATIC VARIABILITY; INTER-DECADAL PACIFIC OSCILLATIONS; NON-LINEAR TRENDS; NONLINEAR AND NON-STATIONARY SIGNALS;

OSCILLATING FLOW;

DATA SET; DECOMPOSITION ANALYSIS; EL NINO-SOUTHERN OSCILLATION; GLOBAL WARMING; HYDROMETEOROLOGY; LAND USE CHANGE; NORTH ATLANTIC OSCILLATION; PACIFIC DECADAL OSCILLATION; RAINFALL; RIVER BASIN; RIVER DISCHARGE; RIVER FLOW; SEASONALITY; TIME SERIES ANALYSIS; TREND ANALYSIS;

PARANA BASIN;

EID: 84898979326     PISSN: 01480227     EISSN: 21562202     Source Type: Journal    
DOI: 10.1002/2013JD020420     Document Type: Article

References (51)

1. Amarasekera, K. N., R. F. Lee, E. R. Williams, and E. A. B. Eltahir (1997), ENSO and the natural variability in the flow of tropical rivers, J. Hydrol., 200, 24–39.
2. Amsler, M. L., C. G. Ramonell, and H. A. Toniolo (2005), Morphologic changes in the Paraná River channel (Argentina) in the light of the climate variability during the 20th century, Geomorphology, 70, 257–278, doi:10.1016/j.geomorph.2005.02.008.
3. Antico, A., and D. M. Kröhling (2011), Solar motion and discharge of Paraná River, South America: Evidence for a link, Geophys. Res. Lett., 38, L19401, doi:10.1029/2011GL048851.
4. Barros, V., M. E. Castañeda, and M. Doyle (2000), Recent precipitation trends in Southern South America East of the Andes: An indication of climatic variability, in Southern Hemisphere Paleo- and Neoclimates, edited by P. Smolka and W. Volkheimer, pp. 187–206, Springer, Berlin, Heidelberg.
5. Berri, G. J., M. A. Ghietto, and N. O. García (2002), The influence of ENSO in the flows of the upper Paraná River of South America over the past 100 years, J. Hydromet., 3, 57–65.
6. Boulanger, J. P., J. Leloup, O. Penalba, M. Rusticucci, F. Lafon, and W. Vargas (2005), Observed precipitation in the Paraná-Plata hydrological basin: Long-term trends, extreme conditions and ENSO teleconnections, Clim. Dyn., 24, 393–413, doi:10.1007/s00382-004-0514-x.
7. Camilloni, I. A., and V. R. Barros (2000), The Paraná River response to El Niño 1982–83 and 1997–98 events, J. Hydromet., 1, 412–430.
8. Camilloni, I. A., and V. R. Barros (2003), Extreme discharge events in the Paraná River and their climate forcing, J. Hydrol., 278, 94–106, doi:10.1016/S0022-1694(03)00133-1.
9. Colominas, M. A., G. Schlotthauer, M. E. Torres, and P. Flandrin (2012), Noise-assisted EMD methods in action, Adv. Adapt. Data Anal., 4, 11, doi:10.1142/S1793536912500252.
10. Dai, A., T. Qian, K. E. Trenberth, and J. D. Milliman (2009), Changes in continental freshwater discharge from 1948 to 2004, J. Clim., 22, 2773–2792, doi:10.1175/2008JCLI2592.1.
11. Dettinger, M. D., and H. F. Diaz (2000), Global characteristics of stream flow seasonality and variability, J. Hydrometeor, 1, 289–310.
12. Flandrin, P., G. Rilling, and P. Gonçalvès (2004), Empirical mode decomposition as a filter bank, IEEE Signal Process. Lett., 11, 112–114, doi:10.1109/LSP.2003.821662.
13. Folland, C. K., J. A. Renwick, M. J. Salinger, and A. B. Mullan (2002), Relative influences of the interdecadal pacific oscillation and ENSO on the South Pacific convergence zone, Geophys. Res. Lett., 29, 1643, doi:10.1029/2001GL014201.
14. García, N. O., and W. M. Vargas (1996), The spatial variability of runoff and precipitation in the Rio de la Plata basin, Hydrolog. Sci. J., 41(3), 279–299.
15. García, N. O., and W. M. Vargas (1998), The temporal climatic variability in the ‘Río de la Plata’ basin displayed by the river discharges, Clim. Change, 38, 359–379.
16. Garreaud, R. D., M. Vuille, R. Compagnucci, and J. Marengo (2009), Present-day South American climate, Paleog. Paleoclim. Paleoecol., 281, 180–195, doi:10.1016/j.palaeo.2007.10.032.
17. Genta, J., G. Perez-Iribarren, and C. R. Mechoso (1998), A recent increasing trend in the streamflow of rivers in southeastern South America, J. Clim., 11, 2858–2862.
18. Global Runoff Data Centre (2007), Major River Basins of the World, Global Runoff Data Centre, Federal Institute of Hydrology (BfG), Koblenz, Germany.
19. Grimm, A. M., V. R. Barros, and M. E. Doyle (2000), Climate variability in southern South America associated with El Niño and La Niña events, J. Clim., 13, 35–58.
20. Harris, I., P. Jones, T. Osborn, and D. Lister (2013), Updated high-resolution grids of monthly climatic observations—The CRU TS3.10 dataset, Int. J. Climatol., doi:10.1002/joc.3711.
21. Huang, N., and Z. Wu (2008), A review on Hilbert-Huang transform: Method and its applications to geophysical studies, Rev. Geophys., 46, 8755–1209, doi:10.1029/2007RG000228.
22. Huang, N. E., Z. Shen, S. R. Long, M. C. Wu, H. H. Shih, Q. Zheng, N.-C. Yen, C. C. Tung, and H. H. Liu (1998), The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis, Proc. R. Soc. London, Ser. A, 454, 903–995.
23. Hurrell, J. W., and C. Deser (2009), North Atlantic climate variability: The role of the North Atlantic Oscillation, J. Mar. Syst., 78, 28–41, doi:10.1016/j.jmarsys.2008.11.026.
24. Krepper, C. M., N. O. García, and P. D. Jones (2008), Low-frequency response of the upper Paraná basin, Int. J. Climatol., 28, 351–360.
25. Labat, D., J. Ronchail, and J. L. Guyot (2005), Recent advances in wavelet analyses: Part 2-Amazon, Parana, Orinoco and Congo discharges time scale variability, J. Hydrol., 314, 289–311, doi:10.1016/j.jhydrol.2005.04.004.
26. Macias-Fauria, M., A. Grinsted, S. Helama, and J. Holopainen (2012), Persistence matters: Estimation of the statistical significance of pale-oclimatic reconstruction statistics from autocorrelated time series, Dendrochronologia, 30, 179–187, doi:10.1016/j.dendro.2011.08.003.
27. Mantua, N. J., S. R. Hare, Y. Zhang, J. M. Wallace, and R. C. Francis (1997), A Pacific interdecadal climate oscillation with impacts on salmon production, Bull. Am. Meteorol. Soc., 78, 1069–1079.
28. Marengo, J. A., et al. (2010), Recent developments on the South American monsoon system, Int. J. Climatol., 32, 1–2, doi:10.1002/joc.2254.
29. McKerchar, A. I., and R. D. Henderson (2003), Shifts in flood and low-flow regimes in New Zealand due to interdecadal climate variations, Hydrolog. Sci. J., 48, 637–654, doi:10.1623/hysj.48.4.637.51412.
30. Meyer-Christoffer, A., A. Becker, P. Finger, B. Rudolf, U. Schneider, and M. Ziese (2011), GPCC climatology version 2011 at 0.5 ◦: Monthly land-surface precipitation climatology for every month and the total year from rain-gauges built on GTS-based and historic data, doi:10.5676/DWD_GPCC/CLIM_M_V2011_050.
31. Milliman, J. D., K. L. Farnsworth, P. D. Jones, K. H. Xu, and L. C. Smith (2008), Climatic and anthropogenic factors affecting river discharge to the global ocean, 1951–2000, Global Planet. Change, 62, 187–194, doi:10.1016/j.gloplacha.2008.03.001.
32. Morice, C. P., J. J. Kennedy, N. A. Rayner, and P. D. Jones (2012), Quantifying uncertainties in global and regional temperature change using an ensemble of observational estimates: The HadCRUT4 data set, J. Geophys. Res., 117, D08101, doi:10.1029/2011JD017187.
33. Parker, D., C. Folland, A. Scaife, J. Knight, A. Colman, P. Baines, and B. Dong (2007), Decadal to multidecadal variability and the climate change background, J. Geophys. Res., 112, D18115, doi:10.1029/2007JD008411.
34. Pasquini, A. I., and P. J. Depetris (2007), Discharge trends and flow dynamics of South American rivers draining the southern Atlantic seaboard: An overview, J. Hydrol., 333, 385–399, doi:10.1016/j.jhydrol.2006.09.005.
35. Pui, A., A. Lal, and A. Sharma (2011), How does the Interdecadal Pacific Oscillation affect design floods in Australia?, Water Resour. Res., 47, W05554, doi:10.1029/2010WR009420.
36. Rayner, N. A., D. E. Parker, E. B. Horton, C. K. Folland, L. V. Alexander, D. P. Rowell, E. C. Kent, and A. Kaplan (2003), Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century, J. Geophys. Res., 108, 4407, doi:10.1029/2002JD002670.
37. Robertson, A. W., and C. R. Mechoso (1998), Interannual and decadal cycles in river flows of southeastern South America, J. Clim., 11, 2570–2581.
38. Robertson, A. W., and C. R. Mechoso (2000), Interannual and interdecadal variability of the South Atlantic convergence zone, Mon. Weather Rev., 128, 2947–2957.
39. Robertson, A. W., C. R. Mechoso, and N. O. García (2001), Interannual prediction of the Paraná River, Geophys. Res. Lett., 28, 4235–4238, doi:10.1029/2000GL012197.
40. Ropelewski, C. F., and P. D. Jones (1987), An extension of the Tahiti-Darwin Southern Oscillation Index, Mon. Weather Rev., 115, 2161–2165.
41. Schlotthauer, G., M. E. Torres, and H. L. Rufiner (2009), A new algorithm for instantaneous F0 speech extraction based on ensemble empirical mode decomposition, in Proc. of the 17th European Signal Processing Conference (EUSIPCO 2009), pp. 2347–2351, Glasgow, Scotland.
42. ◦: Monthly land-surface precipitation from rain-gauges built on GTS-based and historic data, doi:10.5676/DWD_GPCC/FD_M_V6_050..
43. Torres, M. E., M. A. Colominas, G. Schlotthauer, and P. Flandrin (2011), A complete ensemble empirical mode decomposition with adaptive noise, paper presented at 2011 IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP-11, Prague (CZ), pp. 4144–4147, doi:10.1109/ICASSP.2011.5947265..
44. Trenberth, K. E., et al. (2007), Observations: Surface and atmospheric climate change, in Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, edited by S. Solomon et al., pp. 235–336, Cambridge Univ. Press, Cambridge.
45. Tucci, C. E. M., and R. T. Clarke (1998), Environmental issues in the la Plata Basin, Int. J. Water Resour. D., 14, 157–173.
46. Wolter, K., and M. S. Timlin (2011), El Niño/Southern Oscillation behaviour since 1871 as diagnosed in an extended multivariate ENSO index (MEI.ext), Int. J. Climatol., 31, 1074–1087, doi:10.1002/joc.2336.
47. Wu, P., N. Christidis, and P. Stott (2013), Anthropogenic impact on Earth’s hydrological cycle, Nature Clim. Change, 3, 807–810, doi:10.1038/nclimate1932.
48. Wu, Z., and N. E. Huang (2009), Ensemble empirical mode decomposition: A noise-assisted data analysis method, Adv. Adapt. Data. Anal., 1, 1–41, doi:10.1142/S1793536909000047.
49. Wu, Z., N. E. Huang, S. R. Long, and C.-K. Peng (2007), On the trend, detrending, and variability of nonlinear and nonstationary time series, Proc. Natl. Acad. Sci., 104, 14,889–14,894, doi:10.1073/pnas.0701020104.
50. Wu, Z., E. Schneider, B. Kirtman, E. Sarachik, N. Huang, and C. Tucker (2008), The modulated annual cycle: An alternative reference frame for climate anomalies, Clim. Dyn., 31, 823–841, doi:10.1007/s00382-008-0437-z.
51. Wu, Z., N. E. Huang, J. M. Wallace, B. V. Smoliak, and X. Chen (2011), On the time-varying trend in global-mean surface temperature, Clim. Dyn., 37, 759–773, doi:10.1007/s00382-011-1128-8.