References for EOS 754, Earth Science Data and Advanced Data Analysis (Formerly Earth Observing/Remote Sensing Data and Data Systems)

(Last updated on April 16, 2008)

 

Recommended Textbooks

  1. William J. Emery and Richard E. Thomson, 1998: “Data Analysis Methods in Physical Oceanography,” Pergamon, 1998.
  2. Von Storch, Hans , Zwiers, Francis W., 1999, “Statistical Analysis in Climate Research,” Cambridge University Press (QC981.S735).
  3. Wilks, Daniel S., 1995: “Statistical Methods in the Atmospheric Sciences: An Introduction,” Academic Press,  January 1995 (ISBN: 0127519653)

EOS References

  1. G. Asrar and R. Greenstone, eds., 1999: “EOS Reference Handbook,” NASA (Washington, D.C.), 1999.
  2. S. W. Wharton, M. F. Myers, eds.,  1997: “EOS Data Products Handbook Volume 1” (1997)
  3. C. L. Parkinson & R. Greenstone, eds.,  “EOS Data Products Handbook Volume 2” (2000)

Theoretical Background for Earth Observing (Orbital Mechanics and Radiative Transfer Theory)

  1.  Stanley Q. Kidder, Thomas H. Vonder Haar, “Satellite Meteorology : An Introduction,” Academic Press, 1995 (QC879.5 .K53)
  2. Meriam, J. L. “Dynamics,” New York, Wiley, 1971 (TA352 .M4D9)
  3. James R. Wertz and Wiley J. Larson (eds),  “Space mission analysis and design,” Boston : Kluwer, 1999 (TL790 .S73)
  4. Tom Logsdon, “Orbital Mechanics : Theory And Applications,” Wiley, 1998 (TL1050 .L59)
  5. Paul Ricchiazzi, Shiren Yang, Catherine Gautier and David Sowle. 1998: “SBDART: A Research and Teaching Software Tool for Plane-Parallel Radiative Transfer in the Earth's Atmosphere.” Bulletin of the American Meteorological Society: Vol. 79, No. 10, pp. 2101–2114.

Parallel Coordinate System and Grand Tour

  1. Edward J. Wegman, “Hyperdimensional Data Analysis Using Parallel Coordinates,” Journal of the American Statistical Association, V85, No. 411, page 664-675, 1990.
  2. Asimov, D. (1985) “The Grand Tour: A Tool for Viewing Multidimensional Data,” SIAM Journal of Scientific and Statistical Computing, 6(1):128-143.

Map Projections

  1. Pearson, Frederick, “Map Projections: Theory And Applications,” CRC Press, 1990 (GA110 .P425)

Time Series Textbooks

  1. Chatfield, Christopher., “The Analysis of Time Series : An Introduction,” Chapman and Hall/CRC, 1996 (QA280 .C4)
  2. Kendall, Mauruce and J Keith Ord, 1990, “Time Series,” Third edition, Oxford University Press, New York (QA280 .K44).
  3. Ryan, Thomas, P., 1997, “Modern Regression Methods,” John Wiley & Son (QA278.2 .R93)

Time Series Applications (Running Sum)

  1. Hanley,  Deborah E., Mark A. Bourassa,  James J. O'Brien,  Shawn R. Smith, and Elizabeth R. Spade,  2003: “A Quantitative Evaluation of ENSO Indices,” Journal of Climate, Volume 16, Issue 8 (April 2003) pp. 1249–1258.
    DOI: 10.1175/1520-0442(2003)16<1249:AQEOEI>2.0.CO;2

STL Decomposition

  1. Cleveland, R. B., Cleveland, W. S., McRae, J. E. and Terpening, I. (1990). STL: A Seasonal-Trend Decomposition Procedure Based on Loess. Journal of Official Statistics, 6, 3-73.

Wavelet Analysis

  1. R. Todd Ogden, “Essential Wavelets For Statistical Applications And Data Analysis,” Birkhäuser, 1997 (QA403.3 .O43)
  2. Kumar, P., Foufoula-Georgiou, E., “Wavelet Analysis in Geophysics: An Introduction,” in “Wavelets in Geophysics,” Foufoula-Georgiou and  Kumar, P., eds, Academic Press, 1994 (QC806 .W38)

The 2nd Generation Wavelets

  1. Wim Sweldens, 1997, “The lifting scheme: A construction of second generation wavelets,” SIAM J. Math. Anal, Vol. 29, Nr. 2, pp 511-546.
  2. Wu, Jingsong and Kevin Amaratunga, 2003: “Wavelet triangulated irregular networks.” International Journal of Geographical Information Science 17(3): 273-289.
  3. Bousquet, O., C.A. Lin and I. Zawadzki (2006). Analysis of scale dependence of quantitative precipitation forecast verification. Quart. J. Roy. Met. Soc. 132 (620), 2107-2125. PDF

Correlation, Regression, and Causality

  1. Jobson, J. D., “Applied Multivariate Data Analysis,” Springer, 1991 (QA278 .J58), V1
  2. Tsonis, A.A., K.L. Swanson , and P.J. Roebber, 2006: What do networks have to do with climate? Bull. Amer. Meteor. Soc. DOI:10.1175/BAMS-87-5-585.
  3. Granger, C. W. J. (1969), Investigating causal relations by econometric methods and cross-spectral methods, Econometrica, 34, 424– 438.
  4. LeSage,  James P., 2007: Econometrics Toolbox (Applied Econometrics using MATLAB): http://www.spatial-econometrics.com/  
  5. Elsner, J. B. (2006), Evidence in support of the climate change–Atlantic hurricane hypothesis, Geophys. Res. Lett., 33, L16705, doi:10.1029/2006GL026869.
  6. Mosedale, Timothy J., David B. Stephenson, Matthew Collins, and Terence C. Mills, 2006: “Granger Causality of Coupled Climate Processes: Ocean Feedback on the North Atlantic Oscillation,” Journal of Climate. Volume 19, Issue 7 (April 2006) pp. 1182–1194.

Hilbert-Huang Transform

  1. Norden E. Huang, Z. Shen, and S. R. Long, M. C. Wu, E. H. Shih, Q. Zheng, C. C. Tung, and H. H. Liu, 1998, “The Empirical Mode Decomposition and the Hilbert Spectrum for Nonlinear and Nonstationary Time Series Analysis,” Procedures of the Royal Society of London, A454, 903-995.
  2. Zhaohua Wu and Norden E. Huang, 2003, “A Study of the Characteristics of White Noise Using the Empirical Mode Decomposition Method,” COLA Technical Report 133, 27 pp.
  3. Zhaohua Wu, Edwin K. Schnieder, and Zeng-Zhen Hu. 2002, “The Impact of Global Warming on ENSO Variability in Climate Records,” COLA Technical Report 110, 24 pp.
  4. Julius S. Bendat, Allan G. Piersol, “Random Data: Analyis and Measurement Procedures,” Wiley, 2000 (TA340 .B43).

HOC

  1. Kedem, Benjamin, “Time Series Analysis by Higher Order Crossings,” IEEE Press, 1994 (QA280 .K43).

Principal Component Analysis

  1. Jackson, J. Edward. “User's Guide To Principal Components,” Wiley, 1991 (QA278.5 .J27)
  2. Krzanowski, W. J., “Principles of Multivariate Analysis,” Oxford Science Publications, 1988 (QA278 .K73).
  3. H. Von Storch(Editor), A. Navarra(Editor),1999,“Analysis of Climate Variability: Applications of Statistical Techniques,” Springer (QC981.8 C5A52).
  4. B. Schölkopf, A. Smola, and K.-R. Müller. Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation, 10:1299-1319, 1998.

40.  Yang, Ruixin, John Tan and Menas Kafatos, 2006, “A Pattern Selection Algorithm in Kernel PCA Applications,” in proceedings of the first International Conference on Software and Data Technologies, Page 195-202, September 11-14, 2006, Setubal, Portugal.

41.  Klotzbach, P.J., and W.M. Gray, 2006: Causes of the Unusually Destructive 2004 Atlantic Basin Hurricane Season. Bull. Amer. Meteor. Soc., 87, 1325–1333.

Others

  1. Cracknell, Arthur P., “Advanced Very High Resolution Radiometer (AVHRR),” Taylor & Francis, 1997 (QC475.8 .C73).
  2. Kafatos, M., Wang, X., Li, Z., Yang, R., Ziskin, D., “Information Technology Implementation for a Distributed Data System Serving Earth Scientists: Seasonal to Interannual ESIP,” Proceedings of the Tenth International Conference on Scientific and Statistical Database Management, pp. 210-215. IEEE, Computer Society. 1998.
  3. Yang, R., Yang, K., Kafatos, M., Wang, X., “Value Range Queries on Earth Science Data via Histogram Clustering,” Proceedings of International Workshop on Temporal, Spatial and Spatio-Temporal Data Mining, TSDM2000, Lyon, France, Lecture Notes in Artificial Intelligence, 2007. Roddick, J. F. and Hornsby, K., Eds., pages 62-76, Springer, 2001
  4. Yang, Kwang-Su, Ruixin Yang, Menas Kafatos, “A Feasible Method to Find Areas with Constraints Using Hierarchical Depth-First Clustering,” in Proceedings of the 13th International Conference on Scientific and Statistical Database Management (L. Kerschberg and M. Kafatos, eds.), pages 257-262, IEEE, Computer Society, 2001.
  5. J. O’Rouke, “Computational Geometry in C,” Cambridge University Press, 2001 (QA448D38O76)
  6.  DODS:  Distributed Oceanographic Data System.  http://www.unidata.ucar.edu/packages/dods/