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Books

• Studies in the Atmospheric Sciences is volume 144 in the Springer Lecture Notes in Statistics series. The Web Companion to 144


• Case Studies in Environmental Statistics is volume 132 in the Springer Lecture Notes in Statistics series. The Web Companion to 132

Refereed Publications

Bengtsson, T., R. Milliff, R. Jones, D. Nychka, and P. P. Niiler, 2005:

A state-space model for ocean drifter motions domintated by inertial oscillations, Journal of Geophysical Research, 110 doi: 10.1029/2004JC002850.

Cooley, D., P. Naveau, and V. Jomelli, 2005:

A Bayesian hierarchical extreme value model for lichenometry, Environmetrics, in press.

Drignei, D., 2005:

A nonstationary statistical model for computationally intensive numerical ordinary differential systems, Comm. in Statistics: Simulation and Computation, 34, 737-750.

Feingold, G., R. Furrer, P. Pilewskie, L. A. Remer, Q. Min, and H. Jonsson, 2005:

Aerosol indirect studies at Southern Great Plains during the May 2003 intensive operation period, Journal of Geophysical Research, in press.

Fournier, B., and R. Furrer, 2005:

Automatic mapping in the presence of substitutive errors: A robust kriging approach, Applied GIS, 1, doi: 10.2104/ag050012.

Gilleland, E., and D. Nychka, 2005:

Statistical models for monitoring and regulating ground-level ozone, Environmentics, 16, 535-546.

Furrer, R., 2005:

Covariance estimation under spatial dependence, Journal of Multivariate Analysis, 94, 366-381.

Matsuo, T., A. D. Richmond, and G. Lu,, 2005:

Optimal interpolation analysis of high-latitude ionospheric electrodynamics using empirical orthogonal functions: Estimation of dominant modes of variability and temporal scales, Journal of Geophysical Research, 110 doi: 10.1029/2004JA010531

Poncet, P., D. Cooley, and P. Naveau, 2005:

Variograms for max-stable random fields Statistics for Dependent Data, STAT DEP 2005, Springer Lecture Notes in Statistics, in press.

Fuentes, M., T.G.F. Kittel, and D. Nychka, 2004:

Sensitivity of Ecological Models to Spatial-Temporal Estimation of their Climate Drivers: Statistical Ensembles for Forcing. Ecological Applications, to appear.   draft

Kupper, T., J.D Berset, R. Etter-Holzer, R. Furrer, and J. Tarradellas, 2004:

Concentrations and specific loads of polycyclic musks in sewage sludge originating from a monitoring network in Switzerland. Chemosphere, 54, 1111-1120.

Meehl, G.A., and C. Tebaldi, 2004:

More intense, more frequent and longer lasting heat waves in the 21st century. Science, 305, 994-997.

Meehl, G., C. Tebaldi, and D. Nychka, 2004:

Changes in frost days in simulations of 21st century climate. Climate Dynamics, 23, 495-511. doi:10.1007/s00382-004-0442-9.

Sain, S., S. Jagtap, L.M. Mearns, and D. Nychka, 2004:

A Multivariate spatial model for soil water profiles. Journal of Agricultural Biological and Environmental Statistics, in review.

Schneider, U., and J.N. Corcoran, 2004:

Perfect sampling for Bayesian variable selection in a linear regression model. Journal of Statistical Planning and Inference, 126, 153-171.

Tebaldi, C. and D.W. Nychka, 2004:

Invited discussion to "Calibrated probabilistic mesoscale weather field forecasting: The geostatistical output perturbation (GOP) method". Journal of the American Statistical Association, 99, 583-586.

Whitcher, B., 2004:

Wavelet-based estimation for seasonal long-memory processes.
Technometrics, 46, 225-238.

Whitcher, B., and P.F. Craigmile, 2004:

Multivariate Spectral Analysis Using Hilbert Wavelet Pairs. International Journal of Wavelets, Multiresolution and Information Processing, 2 (4), 567-587.

Whitcher, B., 2004:

Wavelet-Based Bootstrapping of Spatial Patterns on a Finite Lattice,
Computational Statistics and Data Analysis, accepted

Bengtsson, T., C. Snyder, and D. Nychka, 2003:

Toward a nonlinear ensemble filter for high-dimensional systems. Journal of Geophysical Research, 108, DOI: 10.1029/2002JD002900.

Hoar T., R. Milliff, D. Nychka, C. Wikle, and L. Berliner, 2003:

Winds from a Bayesian hierarchical model: Computation for atmosphere-ocean research. Journal of Computational and Graphical Statistics, 12, 781-807, DOI: 10.1198/1061860032616.

Johns, C.J., D. Nychka, T.G.F. Kittel, and C. Daly,, 2003:

Infilling sparse records of spatial fields. Journal of the American Statistical Association, 98, 796-806.

Jones, R.H. and A.L. Jones , 2003;

Testing skill in earthquake predictions. Seismological Research Letters, 74, 753.

Katz, R.W., M.B. Parlange, and C. Tebaldi, 2003:

Stochastic modeling of the effects of large-scale circulation on daily weather in the southeastern U.S. Climatic Change, 60, 189-216.

Meiring, Wendy, 2003:

Ozonesonde mid-latitude stratospheric ozone variability, with emphasis on the quasi-biennial oscillation: A functional data analysis approach. UCSB Department of Statistics and Applied Probability Technical Report No. 391

Nychka, D., and C. Tebaldi, 2003:

Comment on "Calculation of average, uncertainty range and reliability of regional climate changes from AOGCM simulations via the "Reliability Ensemble Averaging" (REA) Method". Journal of Climate, 16, 883-884.

Oh, H.-S., C.M. Ammann, P. Naveau, D. Nychka, and B.L. Otto-Bliesner, 2003:

Multi-resolution time series analysis applied to solar irradiance and climate reconstructions. Journal of Atmospheric and Solar-Terrestrial Physics, 2, 191-201.

Katz, R. W., 2002:

Techniques for estimating uncertainty in climate change scenarios and impact studies. Climate Research, 20, 167-185.

Katz, R.W., 2002:

Stochastic modeling of hurricane damage. Journal of Applied Meteorology, 41, 754-762.

Katz, R.W., 2002:

Sir Gilbert Walker and a connection between El Nino and statistics. Statistical Science, 17, 97-112.

Katz, R. W., M. B. Parlange, and P. Naveau, 2002:

Statistics of extremes in hydrology. Advances in Water Resources, 25, 1287-1304.

Matsuo, T., A.D. Richmond, and D.W. Nychka, 2002:

Modes of high-latitude electric field variability derived from DE-2 measurements: Empirical Orthogonal Function (EOF) analysis. Geophysical Research Letters, 29, doi:10.1029/2001GL014077.

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.

Tebaldi, C., D. Nychka, B.G. Brown, and B. Sharman, 2002:

Flexible discriminant techniques for forecasting clear-air turbulence. Environmetrics, 13, 859-878.

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.

Whitcher, B., S.D. Byers, P. Guttorp, and D.B. Percival, 2002:

Testing for homogeneity of variance in time series: Long memory, wavelets and the Nile River. Water Resources Research, 38, DOI: 10.1029/2001WR000509.

Bailey, B. A., and S. C. Doney, 2001:

Quantifying the effects of noise on biogeochemical models. Computing Science and Statistics, 32, 447-453.

Berliner, L. M., 2001:

Monte Carlo based ensemble forecasting. Statistics and Computing, 11, 269-275. [entire article]

Berliner, L. M. (Contributing Author) in J. F. B. Mitchell and D. J. Karoly, 2001:

Detection of climate change and attribution of causes. Climate Change 2001: The Scientific Basis, Intergovernmental Panel on Climate Change Third Assessment Report, J. T. Houghton, et al., Eds., Cambridge University Press, 695-738.

Cummins, D. J., T. G. Filloon, and D. Nychka, 2001:

Confidence intervals for nonparametric curve estimates: Toward more uniform pointwise coverage. Journal of the American Statistical Association, 96, 233-246.

Lund, R., L. Seymour, and K. Kafadar, 2001:

Temperature trends in the United States. Environmetrics, 12, 673-690.

Naveau P., R. Katz, and M. Moncrieff, 2001:

Extremes and climate: An introduction and a case study. Notes de l'Institut Pierre Simon Laplace, 11, 4-22.

Oh, H.-S., P. Naveau, and G. Lee, 2001:

Polynomial boundary treatment for wavelet regression. Biometrika, 88, 291-298.

Small, E. E., L. C. Sloan, and D. Nychka, 2001:

Changes in surface air temperature caused by desiccation of the Aral Sea. Journal of Climate, 14, 284-299.

Wikle, C.K., Milliff, R.F., Nychka, D., and Berliner, L.M., 2001:

Spatiotemporal hierarchical Bayesian modeling: Tropical ocean surface winds. Journal of the American Statistical Association, 96, 382-397.

Berliner, L. M., 2000:

Hierarchical Bayesian modeling in the environmental sciences. Allgemeines Statistisches Archiv, Journal of the German Statistical Society, 84, 141-153.

Berliner, L. M., R. A. Levine, and D. J. Shea, 2000:

Bayesian climate change assessment. Journal of Climate, 13, 3805-3820.

Davis, J. M., D. Nychka, and B. Bailey, 2000:

A comparison of the regional oxidant model with observed data. Atmospheric Environment, 34, 2413-2423.

Grunwald, G. K., and R. H. Jones, 2000:

Markov models for time series with mixed distributions. Environmetrics, 11, 327-339. [abstract]

Huang, J.-C., and D. Nychka, 2000:

A nonparametric multiple choice model within the random utility framework. Journal of Econometrics, 2, 207-225.

Nychka, D., 2000:

Challenges in understanding the atmosphere. Journal of the American Statistical Association, 95, 972-975.

Parlange, M. B., and R. W. Katz, 2000:

An extended version of the Richardson model for simulating daily weather variables. Journal of Applied Meteorology, 39, 610-622.

Parisi, F., and R. Lund, 2000:

Seasonality and return periods of land-falling Atlantic hurricanes. Australian and New Zealand Journal of Statistics, 42, 271-282.

Santer, B. D., T. M. L. Wigley, J. S. Boyle, D. J. Gaffen, J. J. Hnilo, D. Nychka, D. E. Parker, and K. E. Taylor, 2000:

Statistical significance of trends and trend differences in layer-average atmospheric temperature time series. Journal of Geophysical Research-Atmosphere, 105, 7337-7356.

Wikle, C. K., and N. Cressie, 2000:

Space-time statistical modeling of environmental data. Quantifying Spatial Uncertainty Natural Resources, Ann Arbor Press, 213-235.

Berliner, L. M., Z.-Q. Lu, and C. Snyder, 1999:

Statistical design for adaptive weather observations. Journal of the Atmospheric Sciences, 56, 2536-2552.[entire article]

Berliner, L. M., C. K. Wikle, and R. F. Milliff, 1999:

Multiresolution wavelet analyses in hierarchical Bayesian turbulence models. Bayesian Inference in Wavelet Based Models, P. Mueller and B. Vidakovic, Eds., Springer-Verlag, 341-359.

Brown, T. J., L. M. Berliner, D. S. Wilks, M. B. Richman, and C. K. Wikle, 1999:

Statistics education in the atmospheric sciences. Bulletin of the American Meteorological Society, 80, 2087-2097.

Katz, R. W., 1999:

Extreme value theory for precipitation: Sensitivity analysis for climate change. Advances in Water Resources, 23, 133-139.

Katz, R. W., 1999:

Moments of power transformed time series. Environmetrics, 10, 301-307.

Katz, R. W., and X. Zheng, 1999:

Mixture model for overdispersion of precipitation. Journal of Climate, 12, 2528-2537.

Levine, R. A., and L. M. Berliner, 1999:

Statistical principles for climate change studies. Journal of Climate, 12, 564-574.

Lu, Z.-Q., and L. M. Berliner, 1999:

Markov switching time series models with applications to a daily runoff series. Water Resources Research, 35, 523-534. [entire article]

Madden, R. A., T. J. Hoar, and R. F. Milliff, 1999:

Scatterometer winds composited according to the phase of the Tropical Interseasonal Oscillation. Tellus, 51A, 263-272.

Meiring, W., P. Guttorp, and P. D. Sampson, 1999:

Space-time estimation of grid-cell hourly ozone levels for assessment of a deterministic model. Environmental and Ecological Statistics, 5, 197-222.

Naveau, P., P. Brockwell, and D. Nychka, 1999:

Dependence structure of random wavelet coefficients in terms of cumulants. In Curves and Surfaces. Vanderbilt University Press, 343-350.

Royle, J. A., and L. M. Berliner, 1999:

A hierarchical approach to multivariate spatial modeling and prediction. Journal of Agricultural, Biological, and Environmental Statistics, 4, 29-56.

Sneddon, G., 1999:

Smoothing in an underdetermined linear model with random explanatory variables.x Canadian Journal of Statistics, 27, 63-79.

Wikle, C. K., R. F. Milliff, and W. G. Large, 1999:

Surface wind variability on spatial scales from 1 to 1000 km observed during TOGA COARE. Journal of the Atmospheric Sciences, 56, 2222-2231.

Berliner, L. M., J. A. Royle, C. K. Wikle, and R. F. Milliff, 1998:

Bayesian methods in the atmospheric sciences. Bayesian Statistics, 6, 83-100.

Chin, T. M., R. F. Milliff, and W. G. Large, 1998:

Basin-scale, high-wavenumber sea surface wind fields from a multiresolution analysis of scatterometer data. Journal of Atmospheric and Oceanic Technology, 15, 741-763.

Cressie N., and C. K. Wikle, 1998:

The variance-based cross-variogram: You can add apples and oranges. Mathematical Geology, 30, 789-799.

Errico, R., L. Fillion, D. Nychka, and Z.-Q. Lu, 1998:

Some statistical considerations associated with the data assimilation of precipitation observations. Quarterly Journal of the Royal Meteorological Society, 126, 339-359, Part A.

Hurrell, J. W., and K. E. Trenberth, 1998:

Difficulties in obtaining reliable temperature trends: Reconciling the surface and satellite MSU 2R trends. Journal of Climate, 11, 945-967.

Katz, R. W., and M. B. Parlange, 1998:

Overdispersion phenomenon in stochastic modeling of precipitation. Journal of Climate, 11, 591-601.

Meiring, W., P. Guttorp, and P. D. Sampson, 1998:

Computational issues in fitting spatial deformation models for heterogeneous spatial correlation. D. W. Scott, Ed., Computing Science and Statistics, 29, 409-417.

Milliff, R. F., T. J. Hoar, and R. A. Madden, 1998:

Fast, eastward moving disturbances in the surface winds of the equatorial Pacific. Tellus, 50A, 26-41.

Milliff, R. F., T. J. Hoar, H. van Loon, and M. Raphael, 1998:

Quasi-stationary wave variability in NSCAT winds. Journal of Geophysical Research, 104, 11,425-11,436.

Nychka, D., 1998:

Spatial process estimates as smoothers. Smoothing and Regression. Approaches, Computation and Application, M. G. Schimek, Ed., Wiley, 393-424.

Royle, J. A., L. M. Berliner, C. K. Wikle, and R. F. Milliff, 1998:

A hierarchical spatial model for constructing wind fields from scatterometer data in the Labrador Sea. Case Studies in Bayesian Statistics, C. Gatsonis, et al., Eds., Springer-Verlag, 367-382.

Tebaldi, C., and M. West, 1998:

Bayesian inference on network traffic using link count data (with discussion). Journal of the American Statistical Association, 93, 557-576.

Wikle, C. K., and N. Cressie, 1998:

A dimension reduced approach to space-time Kalman filtering. Biometrika, 86, 815-829.

Wikle, C. K., L. M. Berliner, and N. A. Cressie, 1998:

Hierarchical Bayesian space-time analysis. Journal of Environmental and Ecological Statistics, 5, 117-154.

Wikle, C. K., and J. A. Royle, 1998:

Spatio-temporal modeling and design: Applications to environmental data. Journal of Agricultural, Biological, and Environmental Statistics, 4, 489-507.

Berliner, L. M., S. N. MacEachern, and C. Scipione Forbes, 1997:

Ergodic Distributions of Random Dynamical Systems. Nonlinear Dynamics and Time Series: Building a Bridge Between the Natural and Statistical Sciences, Fields Institute Communications. C. D. Cutler and D. T. Kaplan, Eds., © American Mathematical Society, 11 171-185.

Cherry, S., 1997:

Some comments on singular value decomposition analysis. Journal of Climate, 10, 1759-1761.

Guttorp, P. W., W. Meiring, and P. D. Sampson, 1997:

Contribution to discussion of R. J. Carroll, R. Chen, T. H. Li, H. J. Newton, H. Schmiediche, N. Wang, and E. I. George (1997). Trends in ozone exposure in Harris County, Texas. Journal of the American Statistical Association, 92, 405-408.

Jones, R. H., and Y. Zhang, 1997:

Models for continuous stationary space-time processes. Modelling Longitudinal and Spatially Correlated Data: Methods, Applications and Future Directions; T. G. Gregoire, et al., Eds., Lecture Notes in Statistics, 122, Springer-Verlag, 289-298.

Lejenas, H., R. A. Madden, and J. J. Hack, 1997:

Global atmospheric angular momentum and Earth-atmosphere exchange of angular momentum simulated in a general circulation model. Journal of Geophysical Research, 102, 1931-1941.

Madden, R. A., and R. H. Jones, 1997:

The effect of likely biases in estimating the variance of long time averages in climatological data. Journal of Climate, 10, 268-272.

Madden, R. A., and J. W. Kidson, 1997:

Potential long-range predictability of temperature over New Zealand. International Journal of Climatology, 17, 483-495.

Meiring, W., P. Monestiez, P. D Sampson, 1997:

Developments in the modelling of nonstationary spatial covariance structure from space-time monitoring data. Geostatistics Wollongong '96, 1, E. Y. Baafi and N. Schofield, Eds., Kluwer Academic Publishers, 162-173.

Trenberth, K. E., and T. J. Hoar, 1997:

El Niño and climate change. Geophysical Research Letters, 24, 3057-3060.

Wikle, C. K., R. A. Madden, and T. C. Chen, 1997:

Seasonal variation of upper tropospheric and lower stratospheric equatorial waves over the tropical Pacific. Journal of the Atmospheric Sciences, 54, 1895-1909.

Berliner, L. M., 1996:

Chaos. Encyclopedia of Statistical Sciences, S. Kotz, et al., Eds., Wiley, 84-89.

Cherry, S., 1996:

Singular value decomposition analysis and canonical correlation analysis. Journal of Climate, 9, 2003-2009.

Katz, R. W., 1996:

Use of conditional stochastic models to generate climate change scenarios. Climatic Change, 32, 237-255.

Katz, R. W., and M. B. Parlange, 1996:

Mixtures of stochastic processes: Application to statistical downscaling. Climate Research, 7, 185-193.

Lu, Z.-Q., 1996:

Multivariate locally weighted polynomial fitting and partial derivative estimation. Journal of Multivariate Analysis, 59, 187-205.

Li, L., and B. Flury, 1995:

Uniqueness of principal points for univariate distributions. Statistics and Probability Letters, 25, 323-327.

Li, L., B. Flury, and T. Tarpey, 1995:

Principal points of elliptical distributions. Annals of Statistics, 23, 103-112.

Madden, R. A., and P. Speth, 1995:

Estimates of angular momentum, friction and mountain torques during 1987-1988. Journal of the Atmospheric Sciences, 52, 3681-3694.

Mearns, L. O., F. Giorgi, L. McDaniel, and C. Shields, 1995:

Analysis of the diurnal range and variability of daily temperature in a nested modeling experiment: Comparison with observations and 2xCO2 results. Climate Dynamics, 11, 193-209.

Milliff, R. F., and R. A. Madden, 1995:

The existence and vertical structure of fast, eastward moving disturbances in the equatorial troposphere. Journal of the Atmospheric Sciences, 53, 586-597.

Praskovsky, A., and S. Oncley, S., 1995:

Some inertial range correlators in fully developed turbulence. Physical Review E, 51, R5197-R5199.

Trenberth, K. E., and T. J. Hoar, 1995:

The 1990-1995 El Niño -Southern Oscillation Event: Longest on record. Geophysical Research Letters, 23, 57-60. (Nearly complete document, 3 figures not included - compressed postscript - 155 Kbytes - 356 Kbytes when uncompressed.) [© Copyright 1995 by the American Geophysical Union - Paper number GRL8240-DH]

Weber, R. O., and R. A. Madden, 1995:

Optimal averaging for determination of global mean temperature: experiments with model data. Journal of Climate, 8, 418-430.

Hoar, T. J., and C. R. Wilson, 1994:

Geosat Observations of Sea Level Response to Barometric Pressure Forcing. Geophysical Research Letters, 21, 2515-2518 [© Copyright 1994 by the American Geophysical Union - Paper number 94GL02339] (text/figures/tables - 117 Kbytes of compressed postscript - 272 Kbytes of uncompressed postscript) There is also an additional color plate of IB Coefficients for this article. It is 369 Kbytes of compressed (gzip) postscript, 2.08 Meg when uncompressed. It's generally best to download the color plate as a file.

Non-Refereed Publications: Proceedings ...

Bailey, B. A., S. Ellner, and D. W. Nychka, 1996:

Chaos with Confidence: Asymptotics and Applications of Local Lyapunov Exponents. Proc. Fields/CRM Workshop on Nonlinear Dynamics and Time Series: Building a Bridge Between the Natural and Statistical Sciences, American Mathematical Society, 115-133.

Bailey, B. A., 1996:

Local Lyapunov Exponents: predictability depends on where you are. Nonlinear Dynamics in Econometrics, Proc. Ninth International Symposium in Economic and Econometrics, W. Barnett, A. Kirman, and M. Salmon, Eds., Cambridge University Press, 343-357.

Bengtsson, T., and D. Nychka, 2001:

Adaptive Methods in Numerical Weather. Proc. First Spanish Workshop on Spatio-Temporal Modeling of Environmental Processes, Benicassim, Castellon (Spain).

Berliner, L. M., 1997:

Bayesian Analysis for Oceanographers. Proc. 9'th Aha Huliko'a Hawaiian Winter Workshop: Methods of Theoretical Physics Applied to Oceanography.

Berliner, L. M., 1996:

Hierarchical Bayesian time series models. Proc. Fifteenth Workshop on Maximum Entropy and Bayesian Methods.

Chin, T. M., 1995:

North Atlantic ocean model sensitivity to high-resolution wind-forcing from optimal fusion of ERS-1 scatterometer. Proc. ADEOS/NSCAT Science Working Team Meeting, Kyoto Japan.

Chin, T. M., and A. J. Mariano, 1995:

Kalman filtering of large-scale geophysical flows by approximations based on Markov random field and wavelet. Proc. International Conference on Acoustics, Speech, and Signal Processing.

Chin, T. M., R. F. Milliff, and W. G. Large, 1996:

High resolution enhancement of wind-forcing using scatterometer data: Implications for basin-scale quasigeostrophic ocean dynamics.

Dempster, A., and C. Liu, 1995:

Trend and drift in climatological time series. Preprints, Sixth International Meeting on Statistical Climatology, Galway, Ireland, 21-24.

Gencay, R., F. Selcuk, and B. Whitcher, 2001:

An Introduction to Wavelets and Other Filtering Methods in Finance and Economics, Academic Press, San Diego.

Hoar, T., 1999:

Bayes meets `Big Iron'; statistical supercomputing. Presented at the 1999 Joint Statistical meetings, Journal of the American Statistical Association, Baltimore, MD.

Holland, D., N. Saltzman, L. Cox, and D. Nychka, 1998:

Spatial prediction of sulfur dioxide in the eastern United States. Proc. geoENV98, Valencia, Spain, Kluwer.

Jones, R. H., R. A. Madden, and D. J. Shea, 1995:

A new methodology for investigating long range predictability. Preprints, Sixth International Meeting on Statistical Climatology, Galway, Ireland, 531-534.

Jones, R. H., 1996:

The potential of state space models in statistical meteorology. Proc. 13th Conference on Probability and Statistics in the Atmospheric Science, American Meteorological Society, 1-8

Katz, R. W., 1995:

Role of stochastic weather generators in climate impact assessment. Preprints, Ninth Conference on Applied Climatology, Dallas, TX, American Meteorological Society, 269-272.

Katz, R. W., 1995:

Mixtures of stochastic processes: Application to generation of climate change scenarios. Preprints, Sixth International Meeting on Statistical Climatology, Galway, Ireland, 527-530.

Katz, R. W., 1995:

Comments on binomial and negative binomial analogues under correlated Bernoulli trials, by R. Viveros et al., American Statistician, 49, 953-954.

Katz, R. W., and M. B. Parlange, 1996:

Overdispersion phenomenon in stochastic modeling of daily precipitation. Preprints, Thirteenth Conference on Probability and Statistics in Atmospheric Sciences, San Francisco, CA., American Meteorological Society, 291-294

Katz, R. W., and A. H. Murphy, Eds., 1997:

Economic Value of Weather and Climate Forecasts. Cambridge University Press, Cambridge, UK, 222 pp.

Katz, R. W., and A. H. Murphy, 1997:

Forecast value: Prototype decision-making models. Economic Value of Weather and Climate Forecasts, Cambridge University Press, 183-217.

Kittel, T. G. F., J. A. Royle, C. Daly, N. A. Rosenbloom, W. P. Gibson, H. H. Fisher, D. S. Schimel, L. M. Berliner, and VEMAP2 Participants, 1997:

A gridded historical (1895-1993) bioclimate dataset for the coterminous United States. Proc. 10th Conference on Applied Climatology, Reno, NV. American Meteorological Society.

Madden, R. A., and R. W. Katz, 1994:

Applications of Statistics to Modeling the Earth's Climate System, NCAR Technical Note, TN-409+PROC, 123 pp.

Madden, R. A., and R. H. Jones, 1996:

The effect of likely biases in estimating the variance of long time averages of climatological data. Proc. Thirteenth Conference on Probability & Statistics in Atmospheric Sciences, San Francisco, CA.

Madden, R. A., T. J. Hoar, and R. F. Milliff, 1995:

Scatterometer winds composited according to the phase of the tropical intraseasonal oscillations. Preprints Twentieth Climate Diagnostics Workshop, Seattle, WA, U.S. Dept. of Commerce, 333-336.

Meiring, W., P. Guttorp, and P. D. Sampson,, 1997:

On the validity and identifiability of spatial deformation models for heterogeneous spatial correlation structure. NRCSE Technical Report, number 8 (1997)

Meiring, W., P. Guttorp, and P.D. Sampson, 1998:

Space-time covariance modelling. Preprints, Sixth International Meeting on Statistical Climatology, Galway, Ireland, 423-426.

Milliff, R. F., T. J. Hoar, and R. A. Madden, 1995:

A sample fast eastward moving, disturbance in the equatorial surface winds from ERS-1 scatterometer data. Proc. ADEOS/NSCAT Science Working Team Meeting, Kyoto, Japan.

Milliff, R. F., R. A. Madden, and T. J. Hoar, 1995:

On the existence and vertical structure of fast, eastward moving, disturbances in the equatorial troposphere. Preprints, Tenth Conference on Atmosphere and Oceanic Waves and Stability, Big Sky, MT, American Meteorological Society.

Shea, D. J., I. R. Stern, S. J. Worley and T. J. Hoar, 1994:

An Introduction to Atmospheric and Oceanographic Data NCAR Instructional Aid (TN-404+IA) (updated, interactive document)

Shea, D. J., N. A. Sontakke, R. A. Madden, and R. W. Katz, 1995:

The potential for long-range prediction of precipitation over India for the Southwest Monsoon season: An analysis of variance approach. Preprints, Sixth International Meeting on Statistical Climatology, Galway, Ireland, 475-478.

Tebaldi, C., J. Berner, G. Brantstator, and D. Nychka, 2001:

Looking for nonlinearities in the large scale dynamics of the atmosphere. In Proc. First SIAM International Conference on Data Mining, Chicago, IL.

Tebaldi, C., D. Nychka, and L.O. Mearns, 2004:

From global mean responses to regional signals of climate change: Simple pattern scaling, its limitations (or lack of) and the uncertainty in its results. Proceedings of the 84th Annual AMS Conference, Probability and Statistics in the Atmospheric Sciences.

Technical Reports

These are working maunscripts and Ph. D. disserations. Before citing any of these papers please contact the author. Also please keep in mind that many of these reports represent research in progress and are not in their final form.

In Netscape, to grab these papers without automatically displaying the postscript file, hold down the shift key as you click on the mouse. You will then be able to designate the local file name where this should go.

1. Applications of Statistics to Modeling the Earth's Climate System, took place from 6--19 July, 1994. The proceedings of the colloquium are contained in the NCAR Technical Note (TN-409+PROC). (519Kbytes of compressed postscript - ~1.6Meg when uncompressed). Another NCAR Technical Note An Introduction to Atmospheric and Oceanographic Data (TN-404+IA) was also prepared for the colloquium. This has been such a popular item (reprinted 4 times in 2 years) that it is now available in its entirety as a constantly updated interactive document.

2. Bailey, B. A., L. M. Berliner, W. Collins, and J. T. Kiehl, 2002: Modeling the spatial and temporal distribution of cloud cover. In Progress.

3. Bellone, E., W. Collins, and X. Wu, 2002: Statistical models for cloud overlap and amount derived from a cloud resolving model. In Progress.

4. Gencay, R., F. Selcuk, and B. Whitcher, 2002: Robustness of systematic risk across time scales. Submitted to Journal of International Money & Finance.

5. Gencay, R., F. Selcuk, and B. Whitcher, 2002: Scale invariance and time-frequency analysis with wavelet hidden Markov trees. In Progress.

6. Glover, D. M, S. J. McCue, and M. Fuentes, 2002: Mesoscale variability of SeaWiFS satellite ocean color: Global patterns and spatial scales. Submitted to Journal of Geophysical Research, Oceans.

7. Katz, R. W., M. B. Parlange, and C. Tebaldi, 2002: Stochastic modeling of the effects of large-scale circulation on daily weather in the southeastern U.S. Submitted to Climatic Change.

8. Naveau, P., 2002: Almost sure relative stability of the maximum of a stationary sequence. Submitted to Advances in Applied Probability.

9. Naveau, P., C. Ammann, and H.-S. Oh, 2002: A statistical methodology to extract volcanic signals in climatic time series. In Progress

10. Oh, H.-S., D. Nychka, T. Brown, and P. Charboneau, 2002: Period analysis of variable stars by a robust method. In Progress.

11. Whitcher, B. and C. K. Wikle, 2002: Spectral analysis of atmospheric time series using Hilbert wavelet pairs. In Progress.

12. Whitcher, B., J. Weiss, D. Nychka, and T. J. Hoar, 2002: A multiresolution census algorithm for calculating vortex statistics. In Progress.

13. Ammann, C., and P. Naveau, 2001: Multi-decadal periodicity in tropical explosive volcanism and its influence on climate. Submitted to Geophysical Research Letters.

14. Bailey, B. A., S. C., Doney, and I. D. Lima, 2001: Quantifying the effects of dynamical noise on the predictability of a simple ecosystem model. Submitted to JASA Applications and Case Studies.

15. Bengtsson, T., and J. Cavanaugh, 2001: State-space discrimination using Kullback information measures. In Progress.

16. Bengtsson, T., and J. Cavanaugh, 2001: A simulation based model selection criteria for the state-space framework. In Progress.

17. Bengtsson, T., R. H. Jones, and R. F. Milliff, 2001: Estimating current fields from freely floating buoys. In Progress.

18. Fan, Y., and B. Whitcher, 2001: A wavelet solution to the spurious regression of fractionally differenced processes. Submitted to Applied Stochastic Models in Business and Industry.

19. Johns, C., D., Nychka, T. Kittel, and C., Daly, 2001: Infilling Sparse Records of Precipitation Fields Submitted to Journal of the American Statistical Association.

20. Milliff, R., P. P. Niller, J. Morzel, A. E., Sybrandy, D. Nychka, and W. G. Large, 2001: Comparing Observations of Surface Winds from NSCAT and MINIMET Drifters in the Labrador Sea. and as a separate part the Figures

21. Naveau, P., and M. Moncrieff, 2001: A statistical formulation of convective mass fluxes. Submitted to Quarterly Journal of Royal Meteorological Society.

22. Naveau, P., and H.-S. Oh, 2001: Polynomial wavelet regression for images with irregular boundaries. Submitted to IEEE Transactions on Image Processing.

23. Nychka, D., C. K. Wikle, and J. A. Royle, 2001: Multiresolution models for nonstationary spatial covariance functions. Submitted to Statistical Modelling.

24. Oh, H.-S., C. Ammann, P. Naveau, D. Nychka, and B. Otto-Bliesner, 2001: Solar Forcing and Climate: A multi-resolution analysis. Submitted to Journal of Atmospheric and Solar-terrestrial Physics.

25. Oh, H.-S., and T.-S. Li, 2001: Wavelet spectrum and its characterization property for random processes, with Ta-Hsin Li. Submitted to IEEE Trans. on Information Theory.

26. Oh, H.-S., T.-S. Li, 2001: Estimation of global temperature fields from scattered observations by a spherical-wavelet-based spatially adaptive method. Submitted to Journal of the Royal Statistical Society, B.

27. Streett, S., R. Davis, T. Rydberg, and N. Shephard, 2001: The BIN model for counts with an application to estimating the intensity of activity in financial markets. In Progress.

28. Streett, S., R. Davis, and W. Dunsmuir, 2001: Observation driven models for Poisson counts. In Progress.

29. Whitcher, B., 2001: Wavelet-based estimation for seasonal long-memory processes. In Progress

30. Naveau, P., 2000: Almost sure relative stability of the maximum of a stationary sequence. Submitted to Advances in Applied Probability.

31. Tebaldi C., 2000: Influence of Large Scale Circulation Measures on Precipitation at Local Stations in the South-East US. In Progress.

32. Das, B., 2000: Global Covariance Modeling: A Deformation Approach to Anisotropy (12 MB in size) Ph D. Dissertation Submitted to the Department of Statistics, University of Washington. This research was supported in part by GSP.

33. Nychka, D., R. Buchberg, T. M. L. Wigley, B. D. Santer, K. E. Taylor, R. H. Jones, 2000: Confidence Intervals for trend estimates with autocorrelated errors.

34. Eschenberg, M., 1999: Hurricane Eye Stability: A statistical approach. Masters Thesis Department of Statistics, Colorado State University.

35. Naveau, P., 1999: Statistical Analysis of the Maximum Vertical Wind Velocity from Cloud Resolving Models

36. Tebaldi, C., D. Nychka, and M. A. Clyde, 1999: A Bayesian Interpretation of Generalized Cross Validation. In Progress.

37. Hardy, S., 1998: Smoothing Spline Methods for Response Surfaces: Smoothing Test and Model Selection.   [abstract]

38. Jones, R. H., Y. Zhang, and T. J. Hoar, 1997: Constructing surface wind space-time maps from scatterometer data. Submitted to Journal of Atmospheric and Ocean Technology. [entire article]