Publications: Dr. Tung's Earth System Science Data Lab: Purdue University Skip to main content
Dr. Tung's Earth System Science Data Lab Department of Earth, Atmospheric, and Planetary Sciences

Publications

  • underlined = Purdue student author

A. Books and Book Chapters:

  1. Multiscale Convection-Coupled Systems in the Tropics, 2017, R. G. Fovell, and W.-w. Tung, Eds., Meteoro.  Monogr., American Meteorological Society.  https://bookstore.ametsoc.org/catalog/book/multiscale-convection-coupled-systems-tropics
  2. Fovell, R. G., and W.-w. Tung, 2016: Introduction, in Multiscale Convection-Coupled Systems in the Tropics, R. Fovell, and W. Tung, Eds., Meteoro. Monogr., American Meteorological Society, doi:10.1175/AMSMONOGRAPHS-D-16-0003.1.
  3. Steven Esbensen, J. H. Chu, W.-w. Tung, and R. G. Fovell, 2016: EPILOGUE: Six Decades of Tropical Meteorology Research: A Retrospective on Michio Yanai's Life and Career, in Multiscale Convection-Coupled Systems in the Tropics, R. Fovell, and W. Tung, Eds., Meteoro. Monogr., American Meteorological Society.
  4. Gao, J. B., J. Hu, and W.-w. Tung, 2012: A unified theory for the multiscale analysis of complex time series. In Multiscale Signal Analysis and Modeling, Eds. X. P. Shen and A. I. Zayed, Springer, 221-231.
  5. Gao, J. B., Y. Cao, W.-w. Tung, and J. Hu, 2007: Multiscale analysis of complex time series — Integration of Chaos and Random Fractal Theory, and Beyond, Wiley Interscience, 368pp.

B. Referred Book Chapters

  1. Chen, B., W.-w. Tung, and M. Yanai, 2016: Perturbation Kinetic Energy (PKE) and its Budget in the Tropics, in Multiscale Convection-Coupled Systems in the Tropics, R. Fovell, and W. Tung, Eds., Meteoro. Monogr., American Meteorological Society, doi: 10.1175/AMSMONOGRAPHS-D-15-0017.1.
  2. Fovell, R. G., Y. P. Bu, K. L. Corbosiero,W.-w. Tung, Y. Cao, H.-C. Kuo, L.-H. Hsu, and H. Su, 2016: Influence of cloud microphysics and radiation on tropical cyclone structure and motion: A review, in Multiscale Convection-Coupled Systems in the Tropics, R. Fovell, and W. Tung, Eds., Meteoro. Monogr., American Meteorological Society, doi: 10.1175/AMSM-D-15-0006.1.

C. Referred Journal Papers

  1. Wang, X., Y. Wu, W.-w. Tung, J. H. Richter, S. Tilmes, C. Orbe, Y. Huang, Y. Xia, D. E. Kinnison, 2018: The Simulation of Stratospheric Water Vapor over the Asian Summer Monsoon Region in CESM1(WACCM) Models, J. Geophy. Res., doi: 10.1029/2018JD028971.
  2. Tung, W.-w., A. Barthur, M. C. Bowers, Y. Song, J. Gerth, and W. S. Cleveland, 2018: Divide and Recombine (D&R) Data Science Projects for Deep Analysis of Big Data and High Computational Complexity, Jpn J Stat Data Sci (2018). https://doi.org/10.1007/s42081-018-0008-4 (inaugural issue of Japanese Journal of Statistics and Data Science)
    (Purdue University Department of Statistics Technical Report #18-01)
  3. Bowers, M. C., and W.-w. Tung, 2018: Variability and confidence intervals for the mean of climate data with short- and long-range dependence, J. Climate, 31, 6135–6156, doi: 10.1175/JCLI-D-17-0090.1.
  4. Luo, Q., and W.-w. Tung, 2015: Case study of moisture and heat budgets within atmospheric rivers, Mon. Wea. Rev., 143, 4145-4162, doi: 10.1175/MWR-D-15-0006.1.
  5. Tung, W.-w., D. Giannakis, and A. J. Majda, 2014: Symmetric and antisymmetric signals in MJO deep convection. Part I. Basic modes. J. Atmos. Sci., doi:10.1175/JAS-D-13-0122.1.
  6. Bowers, M. C., J. B. Gao, and W.-w. Tung, 2013: Long range correlations in tree ring chronologies of the USA: Variation within and across species, Geophys. Res. Let., 40, 1-5, doi:10.1029/2012GL054011. (Selected to be in the AGU Research Spotlight)
  7. Bowers, M. C., W.-w. Tung, J.B. Gao, 2012: On the distributions of seasonal river flows: lognormal or power-law? Water Resources Research, 48, W05536, doi:10.1029/2011WR011308.
  8. Gao, J. B., J. Hu, and W.-w. Tung, 2012: A unified theory for the multiscale analysis of complex time series. In Multiscale Signal Analysis and Modeling, Eds. X.P. Shen and A. I. Zayed, Springer, 221–231.
  9. Gao, J. B., J. Hu,W.-w. Tung, and E. Blasch, 2012: Multiscale analysis of physiological data by scaledependent Lyapunov exponent. Frontiers in Fractal Physiology, doi: 10.3389/fphys.2011.00110.
  10. Giannakis, D., W.-w. Tung, and A. J. Majda, 2012: Hierarchical structure of the Madden-Julian oscillation in infrared brightness temperature revealed through nonlinear Laplacian spectral analysis. Conference on Intelligent Data Understanding (CIDU), 55–62, doi:10.1109/CIDU.2012.6382201.
  11. Gao, J. B., J. Hu, and W.-w. Tung, 2012: Entropy measures for biological signal analysis. Nonlinear Dynamics, doi: 10.1007/s11071-011-0281-2.
  12. Gao, J. B., J. Hu, X. Mao, W.-w. Tung, 2012: Detecting low-dimensional chaos by the “noise titration” technique: possible problems and remedies. Chaos, Solitons, & Fractals, 45, 213–223.
  13. Gao, J. B., J. Hu,W.-w. Tung, 2011: Facilitating joint chaos and fractal analysis of biosignals through nonlinear adaptive filtering. PLoS ONE, 6(9): e24331. doi:10.1371/journal.pone.0024331.
  14. Tung,W.-w., J. B. Gao, J. Hu, and L. Yang, 2011: Recovering chaotic signals in heavy noise environments. Phys. Rev. E, 83, 046210.
  15. Gao, J. B., J. Hu, W.-w. Tung, Y. Zheng, 2011: Multiscale analysis of economic time series by scale-dependent Lyapunov exponent. Quantitative Finance, DOI:10.1080/14697688.2011.580774.
  16. Wang, Y.-C., and W.-w. Tung, 2010: Impacts of cloud-system resolving regional modeling on the simulation of monsoon depressions, Geophys. Res. Lett., 37, L08806, doi:10.1029/2010GL042734.
  17. Gao, J. B., H. Sultan, J. Hu, and W.-w. Tung, 2010: Denoising nonlinear time series by adaptive filtering and wavelet shrinkage: A comparison. IEEE Signal Processing Letters, 17, 237–240.
  18. Hu, J., J. B. Gao,W.W. Tung, and Y.H. Cao: Multiscale analysis of heart rate variability: A comparison of different complexity measures. Annals of Biomedical Engineering, 38, 854–864.
  19. Hu, J., J. B. Gao, and W.W. Tung: Characterizing heart rate variability by scale-dependent Lyapunov exponent, Chaos (special issue on Controversial Topics in Nonlinear Science: Is the Normal Heart Rate Chaotic?) 19, 028506 (2009).
  20. Ashfaq, M., S. Ying, W.-w. Tung, R. J. Trapp, X. Gao, J. S. Pal, N. S. Diffenbaugh, 2009: Suppression of South Asian summer monsoon precipitation in 21st century, Geophys. Res. Let., doi:10.1029/2008GL036500.
  21. Hu, J.,W.-w. Tung, and J. B. Gao, 2009: A new way to model non-stationary sea clutter, IEEE Signal Processing Letters, 16, 129–132.
  22. Gao, J. B.,W.-w. Tung, and J. Hu, 2009: Quantifying dynamical predictability: The pseudo-ensemble approach (in honor of Professor Andrew Majda’s 60th birthday). Chi. Annals. Math Series B, 30, 569–588.
  23. Tung, W.-w., J. Hu, J. B. Gao, and V. A. Billock, 2008: Diffusion, intermittency, and noise-sustained metastable chaos in the Lorenz equations: Effects of noise on multistability. Theme Issue on Multistability in Dynamical Systems, International Journal of Bifurcations and Chaos, 18, 1749–1758.
  24. Gao, J. B., J. Hu, W.-w. Tung, Y.H. Cao, 2006: Distinguishing chaos from noise by scale-dependent Lyapunov exponent. Phys. Rev. E, 74, 066204.
  25. Hsu, H.-m., M. W. Moncrieff, W.-w. Tung, and C. Liu, 2006: Temporal variability of warm season precipitation over north America: A study based on radar reflectivity. J. Atmos. Sci., 63, 2355–2368.
  26. Hu, J., J. B. Gao, F.L. Posner, Y. Zheng, and W.-w. Tung, 2006: Target detection within sea clutter: A comparative study by fractal scaling analyses. Fractals,, 14, 187–204.
  27. Gao, J. B., V. A. Billock, I. Merk,W.-w. Tung, K. D. White, J. G. Harris, V. P. Roychowdhury, 2006: Inertia and memory in ambiguous visual perception, Cogn. Process. 7, 105–112.
  28. Gao, J. B., J. Hu,W.-w. Tung, Y. H. Cao, N. Sarshar, V. P. Roychowdhury, 2006: Assessment of long range correlation in time series: How to avoid pitfalls. Phys. Rev. E, 73, 016117.
  29. Hu, J., W.-w. Tung, and J. B. Gao, 2006: Detection of low observable targets within sea clutter by structure function based multifractal analysis. IEEE Trans. Antennas & Propagation,54, 135–143.
  30. Tung, W.-w., Y. Qi, J. B. Gao, Y. H. Cao, and L. Billings, 2005: Direct characterization of chaotic and stochastic dynamics in a population model with strong periodicity. Chaos, Solitons, and Fractals, 24, 645–652.
  31. Gao, J. B., W.-w. Tung, Y. H. Cao, J. Hu, and Y. Qi, 2005: Power-law sensitivity to initial conditions in a time series with applications to epileptic seizure detection. Physica A, 353, 613–624.
  32. Hu, J., W.-w. Tung, J. B. Gao, and Y. H. Cao, 2005: Reliability of the 0-1 test for chaos, Phys. Rev. E, 72, 056207.
  33. Gao, J. B., Y. Qi, Y. H. Cao, and W.-w. Tung, 2005: Protein coding sequence identification by simultaneously characterizing the periodic and random features of DNA sequences, Journal of biotechnology and biomedicine special issue, 139–146, DOI:10.1155/JBB.2005.139.
  34. Cao, Y. H., W.-w. Tung, J. B. Gao, and Y. Qi, 2005: Recurrence time statistics: Versatile tools for genomic DNA sequence analysis, Journal of Bioinformatics and Computational Biology, 3, 677–696
  35. Cao, Y. H., W.-w. Tung, J. B. Gao, V. A. Protopopescu, and L. M. Hively, 2004: Detecting dynamical changes in time series using the permutation entropy. Phys. Rev. E, 70, 046217. (selected for the November 1, 2004 issue of Virtual Journal of Biological Physics Research: http://www.vjbio.org.
  36. Tung, W.-w., M. W. Moncrieff, and J. B. Gao, 2004: A systematic view of the multiscale tropical deep convective variability over the tropical western-Pacific warm pool. J. Climate, 17, 2736–2751.
  37. Gao, J. B., W.-w. Tung, and N. Rao, 2002: Noise induced Hopf bifurcation-like sequence to chaos in the Lorenz equations. Phys. Rev. Lett., 89, 254101.
  38. Gao, J. B., and W.-w. Tung, 2002: Pathological tremors as diffusional processes. Biological Cybernetics, 86, 263–270.
  39. Tung, W.-w., and M. Yanai, 2002: Convective momentum transport Observed during the TOGA COARE IOP. Part II: Case studies. J. Atmos. Sci., 59, 2535–2549.
  40. Tung, W.-w., and M. Yanai, 2002: Convective momentum transport Observed during the TOGA COARE IOP. Part I: General features. J. Atmos. Sci., 59, 1857–1871.
  41. Yanai, M., B. Chen, and W.-w. Tung, 2000: The Madden-Julian Oscillation (MJO) observed during the TOGA-COARE IOP: Global view. J. Atmos. Sci., 57, 2374–2396.
  42. Tung, W.-w., C. Lin, B. Chen, M. Yanai, and A. Arakawa, 1999: Basic modes of cumulus heating and drying observed during TOGA-COARE IOP. Geophys. Res. Lett., 26, 3117–3120.