Modeling regional impacts of climate teleconnections using functional data analysis

Environmental and Ecological Statistics

Volumn 21, Issue 1, 2014, Pages 1-26

  Bonner, Simon J ^a   Newlands, Nathaniel K ^b   Heckman, Nancy E ^c  

^a UNIVERSITY OF KENTUCKY   (United States)

^b LETHBRIDGE RESEARCH CENTRE   (Canada)

^c UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

Agriculture; Climate variability; Functional data analysis; Functional principal components analysis; Teleconnections

Indexed keywords

EID: 84894583122     PISSN: 13528505     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10651-013-0241-8     Document Type: Article

References (30)

1. Aguilera A, Escabias M, Valderrama M (2008) Forecasting binary longitudinal data by a functional PC-ARIMA model. Comput Stat Data Anal 52(6): 3187-3197.
2. Baladandayuthapani V, Mallick BK, Hong MY, Lupton JR, Turner ND, Carroll RJ (2008) Bayesian hierarchical spatially correlated functional data analysis with application to colon carcinogenesis. Biometrics 64(March): 64-73.
3. Dunn PK (2004) Occurrence and quantity of precipitation can be modelled simultaneously. Int J Climatol 24(10): 1231-1239.
4. Eilers PHC, Marx BD (1996) Flexible smoothing with B-splines and penalties. Stat Sci 11(2): 89-121.
5. Escabias M, Aguilera AM, Valderrama MJ (2005) Modeling environmental data by functional principal component logistic regression. Environmetrics 16(1): 95-107.
6. Hancock P, Hutchinson M (2006) Spatial interpolation of large climate data sets using bivariate thin plate smoothing splines. Environ Model Softw 21(12): 1684-1694.
7. Haylock M, Hofstra N, Tank A, Klok E, Jones P, New M (2008) A European daily high-resolution gridded data set of surface temperature and precipitation for 1950-2006. J Geophys Res 113: D20, 119.
8. Hutchinson MF (1995) Interpolating mean rainfall using thin plate smoothing splines. Int J GIS 9: 305-403.
9. Jolliffe I (2002) Principal component analysis. Springer, New York.
10. Kriss AB, Paul PA, Madden LV (2012) Variability in fusarium head blight epidemics in relation to global climate fluctuations as represented by the El Nino-southern oscillation and other atmospheric patterns. Phytopathology 102(1): 55-64.
11. Lang S, Brezger A (2004) Bayesian P-splines. J Comput Graph Stat 13(1): 183-212.
12. Ocaña Lara FA, Valderrama MJ, Ocaña Peinado FM, Escabias M (2009) Functional modelling in environmetrics. In: Sakalauskas L, Skiadas C, Zavadskas EK (eds) The XIII international conference on applied stochastic models and data analysis, pp 194-198.
13. Lee D, Shiau J (1994) Thin plate splines with discontinuities and fast algorithms for their computation. SIAM J Sci Comput 15(6): 1311-1330.
14. Little RJA, Rubin DB (2002) Statistical analysis with missing data, 2nd edn. Wiley, New York.
15. Meiring W (2007) Oscillations and time trends in stratospheric ozone levels. J Am Stat Assoc 102(479): 788-802.
16. Ramsay JO, Silverman BW (2002) Applied functional data analysis: methods and case studies. Springer, New York.
17. Ramsay JO, Silverman BW (2005) Functional data analysis. Springer series in statistics, 2nd edn. Springer, New York.
18. Ramsay JO, Hooker G, Graves S (2009) Functional data analysis with R and MATLAB. UseR!. Springer, New York.
19. Ruppert D, Wand MP, Carroll RJ (2003) Semiparametric regression. Cambridge University Press, Cambridge.
20. Shabbar A, Khandekar M (1996) The impact of El Nino-southern oscillation on the temperature field over Canada. Atmosphere-Ocean 34(2): 401-416.
21. Sheridan S (2003) North American weather-type frequency and teleconnection indices. Int J Climatol 23: 27-45.
22. Shiau J, Wahba G, Johnson D (1986) Partial spline models for the inclusion of tropopause and frontal boundary information in otherwise smooth two and three dimensional objective analysis. J Atmos Ocean Technol 3(4): 714-725.
23. Temiyasathit C, Kim SB, Park SK (2009) Spatial prediction of ozone concentration profiles. Comput Stat Data Anal 53(11): 3892-3906.
24. Valderrama M, FA Ocana, AM Aguilera (2002) Forecasting PC-ARIMA models for functional data. In: W Hardle, B Ronz (eds) Proceedings in computational statistiscs, Physica-Verlag, pp 25-36.
25. Wang JY, Whitfield PH, Cannon AJ (2006) Influence of Pacific climate patterns on low-flows in British Columbia and Yukon, Canada. Can Water Resour J 31(1): 25-40.
26. Williams PM (1998) Modelling seasonality and trends in daily rainfall data. In: Jordan MI, Kearns MJ, Solla SA (eds) Advances in neural information processing systems. Proceedings of the 1997 conference, vol 10. MIT Press, pp 985-991.
27. Wood S (2003) Thin plate regression splines. J R Stat Soc Ser B 65(1): 95-114.
28. Wood SN (2006) Generalized additive models: an introduction with R. texts in statistical science. Chapman & Hall/CRC, Boca Raton.
29. Xu Y, Gao X, Shen Y, Xu C, Shi Y, Giorgi F (2009) A daily temperature dataset over China and its application in validating a RCM simulation. Adv Atmos Sci 26(4): 763-772.
30. Zhou L, Huang JZ, Martinez JG, Maity A, Baladandayuthapani V, Carroll RJ (2010) Reduced rank mixed effects models for spatially correlated hierarchical functional data. J Am Stat Assoc 105(489): 390-400.