Some recent papers: (last updated October 2004)

1. Wikle, C.K., Sherman, P.J., and T.-C. Chen (1995) Identifying periodic components in atmospheric data using a family of minimum variance spectral estimators.
   Journal of Climate, 8, 2352-2363.
2. Wikle, C.K. and T.-C. Chen, (1996) On the semiannual variation in the northern hemisphere extratropical height field
   Journal of Climate, 9, 2250-2258.
3. Chen, T.-C., J.-M. Chen, and C.K. Wikle (1996). Interdecadal variation in U.S. Pacific coast precipitation over the past four decades
   Bulletin of the American Meteorological Society, 77, 1197-1205.
4. Chen, T.-C., Pfaendtner, J., J.-M. Chen, and C.K. Wikle (1996) Variability of the global precipitable water with a time scale of 90-150 days
   Journal of Geophysical Research, 101, 9323-9332.
5. Wikle, C.K. and R.A. Madden, (1997). Seasonal variation of upper tropospheric and lower stratospheric equatorial waves over the tropical Pacific.
   Journal of Atmospheric Science, 54 , 1895-1909.
6. Royle, J.A., Berliner, L.M., Wikle, C.K., and R. Milliff, (1998). A hierarchical spatial model for constructing wind fields from scatterometer data in the Labrador sea.
   Case Studies in Bayesian Statistics IV , Springer-Verlag, 367-382.
7. Cressie, N. and C.K. Wikle, (1998). Strategies for dynamic space-time statistical modeling: Discussion of 'The Kriged Kalman Filter' by Mardia et al."
   Test , 7, no. 2, 257-64.
8. Brown, T.J. Berliner, L.M., Wilks, D.S., Richman, M.B., and C.K. Wikle, (1998). Statistics education in the atmospheric sciences.
   Bulletin of the American Meteorological Society , 80, 2087-2097.
9. Wikle, C.K., Berliner, L.M., and N. Cressie, (1998). Hierarchical Bayesian space-time models.
   Environmental and Ecological Statistics , 5 , 117-154.
10. Cressie, N. and C.K. Wikle, (1998). The variance-based cross-variogram: You can add apples and oranges.
    Mathematical Geology, 30 , 789-799.
11. Wikle, C.K. and N. Cressie, (1999) A dimension reduced approach to space-time Kalman filtering.
    Biometrika , 86 , 815-829.
12. Wikle, C.K. and J.A. Royle, (1999). Space-time models and dynamic design of environmental monitoring networks.
    Journal of Agricultural, Biological, and Environmental Statistics , 4 , 489-507.
13. Wikle, C.K., Milliff, R.F., and W.G. Large, (1999). Surface wind variability on spatial scales from 1 to 1000 km observed during TOGA COARE.
    Journal of Atmospheric Science , 56 , 2222-2231.
14. Berliner, L.M., Royle, J.A., Wikle, C.K., and R.F. Milliff, (1999). Bayesian Methods in the Atmospheric Sciences.
    Bayesian Statistics 6 , J.M. Bernardo, J.O. Berger, A.P. Dawid and A.F.M. Smith (Eds.), Oxford University Press, 83-100.
15. Berliner, L.M., Wikle, C.K., and R.F. Milliff, (1999). Multiresolution wavelet analyses in hierarchical Bayesian turbulence models.
    Bayesian Inference in Wavelet Based Models, a Springer Lecture-Notes volume, P. Mueller and B. Vidakovic, eds., 341-359.
16. Wikle, C.K., (2000). Hierarchical Space-Time Dynamic Models.
    In Case Studies in Statistics and the Atmospheric Sciences, L.M Berliner, D. Nychka, T. Hoar, eds., Springer-Verlag, New York, 45-64.
17. Wikle, C.K. and N. Cressie, (2000). Space-time statistical modeling of environmental data.
    Quantifying Spatial Uncertainty in Natural Resources, H.T. Mowrer, R.G. Congalton, eds. Ann Arbor Press, Chelsea, MI, 213-235.
18. Berliner, L.M., Wikle, C.K. and N. Cressie, (2000). Long-lead prediction of Pacific SSTs via Bayesian Dynamic Modeling.
    Journal of climate , 13 , 3953-3968.
    Color Figures
19. Wikle, C.K., Milliff, R.F., Nychka, D., and L.M. Berliner, (2001). Spatiotemporal hierarchical Bayesian modeling: Tropical ocean surface winds.
    JASA , 96 , 382-397.
20. Wikle, C.K., (2001). A kernel-based spectral approach for spatio-temporal dynamic models.
    Proceedings of the 1st Spanish Workshop on Spatio-Temporal Modelling of Environmental Processes (METMA) , Benicassim, Castellon (Spain), 28-31 October 2001, pp. 167-180.
21. Wikle, C.K., (2002). Spatial modeling of count data: A case study in modelling breeding bird survey data on large spatial domains.
    In Spatial Cluster Modelling, A. Lawson and D. Denison, eds. Chapman and Hall, 199-209.
22. Cressie, N. and C.K. Wikle, (2002). Space-time Kalman filter.
    Entry in Encyclopedia of Environmetrics, vol.4, eds. A.H. El-Shaarawi and W.W. Piegorsch. Wiley, New York, pp.2045-2049.
23. Wikle, C.K., (2002). Spatio-temporal models in climatology.
    To appear in: Encyclopedia of Life Support Systems, EOLSS Publishers Co. Ltd.
24. Wikle, C.K. and J.A. Royle, (2002). Spatial statistical modeling in biology.
    To appear in: Encyclopedia of Life Support Systems, EOLSS Publishers Co. Ltd.
25. Nychka, D., C.K. Wikle, and J.A. Royle, (2002). Multiresolution models for nonstationary spatial covariance functions.
    Statistical Modelling: An International Journal. 2 , 315-331.
26. Wikle, C.K., (2002). A kernel-based spectral model for non-Gaussian spatio-temporal processes.
    Statistical Modelling: An International Journal, 2 , 299-314.
27. Wikle, C.K., (2003). Hierarchical models in environmental science.
    International Statistical Review, 71 , 181-199.
28. Wikle, C.K., (2003). Hierarchical Bayesian models for predicting the spread of ecological processes.
    Ecology , 84, 1382-1394
    Appendix
29. Wikle, C.K., L.M. Berliner, and R.F. Milliff, (2003). Hierarchical Bayesian approach to boundary value problems with stochastic boundary conditions.
    Monthly Weather Review , 131 , 1051-1062.
30. Berliner, L.M., Milliff, R.F., and C.K. Wikle, (2003). Bayesian hierarchical modeling of air-sea interaction.
    Journal of Geophysical Research - Oceans, , 108(C4)
31. Wikle, C.K. and C.J. Anderson, (2003). Climatological analysis of tornado report counts using a hierarchical Bayesian spatio-temporal model.
    Journal of Geophysical Research-Atmospheres, 108 , (D24), 9005, doi:10.1029/2002JD002806.
32. Hooten, M. B., Larsen, D.R., and C.K. Wikle, (2003). Predicting the spatial distribution of ground flora on large domains using a hierarchical Bayesian model.
    Landscape Ecology , 18 , 487-502.
33. Wikle, C.K., (2003). Modern statistical methods and weather modification research.
    Appendix in Critical Issues in Weather Modification Research, A National Research Council (NRC) report. The National Academies Press, Washington, D.C., 107-113.
34. Wikle, C.K. and L.M. Berliner, (2005). Combining information across spatial scales. Technometrics , 47, 80-91.
35. Cripps, E., Nott, D., Dunsmuir, W.T.M., and C.K. Wikle, (2005). Space-time Modelling of Sydney Harbour Winds. Australian and New Zealand Journal of Statistics , 47, 3-17.
36. Hoar, T.J., Milliff, R.F., Nychka, D., Wikle, C.K., and L.M. Berliner, (2003). Winds from a Bayesian hierarchical model: Computation for atmosphere-ocean research. Journal of Computational and Graphical Statistics., 4, 781-807.
37. Wikle, C.K., and J.A. Royle, (2004). Dynamic Design of Ecological Monitoring Networks for Non-Gaussian Spatio-Temporal Data. Environmetrics . To appear.
38. Fox, N.I. and C.K. Wikle, (2004). A Bayesian quantitative precipitation nowcast scheme. Weather and Forecasting , to appear.
39. Xu, K., Wikle, C.K., and N. Fox (2005). A kernel based spatio temporal dynamical model for nowcasting radar precipitation. Journal of the American Statistical Association , to appear.
40. Royle, J.A., and C.K. Wikle, (2005). Efficient Statistical Mapping of Avian Count Data. Ecological and Environmental Statistics , to appear.
41. Xu, K. and C.K. Wikle (2005). Estimation of Parameterized Spatio-Temporal Dynamic Models. In review.
42. Wikle, C.K. and Hooten, M.B. (2005). "Hierarchical Bayesian Spatio-Temporal Models for Population Spread". In: "Applications of Computational Statistics in the Environmental Sciences: Hierarchical Bayes and MCMC Methods". J.S. Clark and A. Gelfand (eds). Oxford University Press. To appear.
43. He, H.S., D.C. Dey, X. Fan, M.B. Hooten, J.M. Kabrick, C.K. Wikle, and Z. Fan. (2005). "Mapping pre-European settlement vegetation using a hierarchical Bayesian model and GIS" In Review.
44. Hooten, M.B. and C.K. Wikle (2005). "A Hierarchical Bayesian non-linear spatio-temporal model for the spread of invasive species with application to the Eurasian Collared-Dove." In Review.
45. Hooten, M.B. and C.K. Wikle (2005). "Shifts in the spatio-temporal growth dynamics of shortleaf pine" In Review.
46. Anderson, C.J., Wikle, C.K., Zhou, Q., and J.A. Royle (2005). "Population Influences on Tornado Reports in the United States" In Review.