
Books
Refereed Publications
2005
2004,
2003,
2002,
2001,
2000,
1999,
1998,
1997,
1996, and
1995
2005

Bengtsson, T., R. Milliff, R. Jones, D. Nychka, and P. P. Niiler, 2005:
 A statespace 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, 737750.

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
groundlevel ozone,
Environmentics,
16, 535546.

Furrer, R., 2005:
 Covariance estimation under spatial dependence,
Journal of Multivariate Analysis,
94, 366381.

Matsuo, T., A. D. Richmond, and G. Lu,, 2005:
 Optimal interpolation analysis of highlatitude 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 maxstable random fields
Statistics for Dependent Data, STAT DEP 2005,
Springer Lecture Notes in Statistics, in press.
2004

Fuentes, M., T.G.F. Kittel, and D. Nychka, 2004:
 Sensitivity of Ecological Models to SpatialTemporal Estimation
of their Climate Drivers: Statistical Ensembles for Forcing.
Ecological Applications,
to appear.
draft

Kupper, T., J.D Berset, R. EtterHolzer, 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, 11111120.

Meehl, G.A., and C. Tebaldi, 2004:
 More intense, more frequent and longer lasting heat waves in the 21st century.
Science,
305, 994997.

Meehl, G., C. Tebaldi, and D. Nychka, 2004:
 Changes in frost days in simulations of 21st century climate.
Climate Dynamics,
23, 495511. doi:10.1007/s0038200404429.

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, 153171.

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, 583586.

Whitcher, B., 2004:
 Waveletbased estimation for seasonal longmemory processes.
Technometrics,
46, 225238.

Whitcher, B., and P.F. Craigmile, 2004:
 Multivariate Spectral Analysis Using Hilbert Wavelet Pairs.
International Journal of Wavelets, Multiresolution and Information Processing,
2 (4), 567587.

Whitcher, B., 2004:
 WaveletBased Bootstrapping of Spatial Patterns on a Finite Lattice,
Computational Statistics and Data Analysis,
accepted
2003

Bengtsson, T., C. Snyder, and D. Nychka, 2003:
 Toward a nonlinear ensemble filter for highdimensional 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
atmosphereocean research.
Journal of Computational and Graphical Statistics,
12, 781807, 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, 796806.

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 largescale circulation on
daily weather in the southeastern U.S.
Climatic Change,
60, 189216.

Meiring, Wendy, 2003:
 Ozonesonde midlatitude stratospheric ozone variability, with emphasis
on the quasibiennial 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, 883884.

Oh, H.S., C.M. Ammann, P. Naveau, D. Nychka, and B.L. OttoBliesner, 2003:
 Multiresolution time series analysis applied to solar
irradiance and climate reconstructions.
Journal of Atmospheric and SolarTerrestrial Physics,
2, 191201.
2002

Katz, R. W., 2002:
 Techniques for estimating uncertainty in climate change
scenarios and impact studies.
Climate Research,
20, 167185.

Katz, R.W., 2002:
 Stochastic modeling of hurricane damage.
Journal of Applied Meteorology,
41, 754762.

Katz, R.W., 2002:
 Sir Gilbert Walker and a connection between El Nino
and statistics.
Statistical Science, 17, 97112.

Katz, R. W., M. B. Parlange, and P. Naveau, 2002:
 Statistics of extremes in hydrology.
Advances in Water Resources,
25, 12871304.

Matsuo, T., A.D. Richmond, and D.W. Nychka, 2002:
 Modes of highlatitude electric field variability derived
from DE2 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, 315331.

Tebaldi, C., D. Nychka, B.G. Brown, and B. Sharman, 2002:
 Flexible discriminant techniques for forecasting clearair
turbulence.
Environmetrics, 13, 859878.

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.
2001

Bailey, B. A., and S. C. Doney, 2001:
 Quantifying the effects of noise on biogeochemical models.
Computing Science and Statistics, 32, 447453.

Berliner, L. M., 2001:
 Monte Carlo based ensemble forecasting.
Statistics and Computing, 11, 269275.
[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, 695738.

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, 233246.

Lund, R., L. Seymour, and K. Kafadar, 2001:
 Temperature trends in the United States.
Environmetrics, 12, 673690.

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, 422.

Oh, H.S., P. Naveau, and G. Lee, 2001:
 Polynomial boundary treatment for wavelet regression.
Biometrika, 88, 291298.

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, 284299.

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, 382397.
2000

Berliner, L. M., 2000:
 Hierarchical Bayesian modeling in the environmental sciences.
Allgemeines Statistisches Archiv, Journal of the German Statistical Society,
84, 141153.

Berliner, L. M., R. A. Levine, and D. J. Shea, 2000:
 Bayesian climate change assessment.
Journal of Climate, 13, 38053820.

Davis, J. M., D. Nychka, and B. Bailey, 2000:
 A comparison of the regional oxidant model with observed data.
Atmospheric Environment, 34, 24132423.

Grunwald, G. K., and R. H. Jones, 2000:
 Markov models for time series with mixed distributions.
Environmetrics, 11, 327339.
[abstract]

Huang, J.C., and D. Nychka, 2000:
 A nonparametric multiple choice model within the random utility framework.
Journal of Econometrics, 2, 207225.

Nychka, D., 2000:
 Challenges in understanding the atmosphere.
Journal of the American Statistical Association, 95, 972975.

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, 610622.

Parisi, F., and R. Lund, 2000:
 Seasonality and return periods of landfalling Atlantic hurricanes.
Australian and New Zealand Journal of Statistics, 42, 271282.

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
layeraverage atmospheric temperature time series.
Journal of Geophysical ResearchAtmosphere, 105, 73377356.

Wikle, C. K., and N. Cressie, 2000:
 Spacetime statistical modeling of environmental data.
Quantifying Spatial Uncertainty Natural Resources,
Ann Arbor Press, 213235.
1999

Berliner, L. M., Z.Q. Lu, and C. Snyder, 1999:
 Statistical design for adaptive weather observations.
Journal of the Atmospheric Sciences,
56, 25362552.[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., SpringerVerlag, 341359.

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, 20872097.

Katz, R. W., 1999:
 Extreme value theory for precipitation: Sensitivity analysis for climate change.
Advances in Water Resources,
23, 133139.

Katz, R. W., 1999:
 Moments of power transformed time series.
Environmetrics,
10, 301307.

Katz, R. W., and X. Zheng, 1999:
 Mixture model for overdispersion of precipitation.
Journal of Climate,
12, 25282537.

Levine, R. A., and L. M. Berliner, 1999:
 Statistical principles for climate change studies.
Journal of Climate,
12, 564574.

Lu, Z.Q., and L. M. Berliner, 1999:
 Markov switching time series models with applications to a
daily runoff series.
Water Resources Research,
35, 523534. [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, 263272.

Meiring, W., P. Guttorp, and P. D. Sampson, 1999:
 Spacetime estimation of gridcell hourly ozone levels for assessment
of a deterministic model.
Environmental and Ecological Statistics,
5, 197222.

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, 343350.

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, 2956.

Sneddon, G., 1999:
 Smoothing in an underdetermined linear model with random explanatory variables.x
Canadian Journal of Statistics,
27, 6379.

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, 22222231.
1998

Berliner, L. M., J. A. Royle, C. K. Wikle, and R. F. Milliff, 1998:
 Bayesian methods in the atmospheric sciences.
Bayesian Statistics,
6, 83100.

Chin, T. M., R. F. Milliff, and W. G. Large, 1998:
 Basinscale, highwavenumber sea surface wind fields from a
multiresolution analysis of scatterometer data.
Journal of Atmospheric and Oceanic Technology,
15, 741763.

Cressie N., and C. K. Wikle, 1998:
 The variancebased crossvariogram: You can add apples and oranges.
Mathematical Geology,
30, 789799.

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, 339359, 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, 945967.

Katz, R. W., and M. B. Parlange, 1998:
 Overdispersion phenomenon in stochastic modeling of precipitation.
Journal of Climate,
11, 591601.

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, 409417.

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, 2641.

Milliff, R. F., T. J. Hoar, H. van Loon, and M. Raphael, 1998:
 Quasistationary wave variability in NSCAT winds.
Journal of Geophysical Research, 104, 11,42511,436.

Nychka, D., 1998:
 Spatial process estimates as smoothers.
Smoothing and Regression. Approaches, Computation and Application,
M. G. Schimek, Ed., Wiley, 393424.

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., SpringerVerlag, 367382.

Tebaldi, C., and M. West, 1998:
 Bayesian inference on network traffic using link count data
(with discussion).
Journal of the American Statistical Association,
93, 557576.

Wikle, C. K., and N. Cressie, 1998:
 A dimension reduced approach to spacetime Kalman filtering.
Biometrika,
86, 815829.

Wikle, C. K., L. M. Berliner, and N. A. Cressie, 1998:
 Hierarchical Bayesian spacetime analysis.
Journal of Environmental and Ecological Statistics,
5, 117154.

Wikle, C. K., and J. A. Royle, 1998:
 Spatiotemporal modeling and design: Applications to environmental data.
Journal of Agricultural, Biological, and Environmental Statistics,
4, 489507.
1997

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 171185.

Cherry, S., 1997:
 Some comments on singular value decomposition analysis.
Journal of Climate, 10, 17591761.

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, 405408.

Jones, R. H., and Y. Zhang, 1997:
 Models for continuous stationary spacetime processes.
Modelling Longitudinal and Spatially Correlated Data:
Methods, Applications and Future Directions;
T. G. Gregoire, et al., Eds.,
Lecture Notes in Statistics, 122,
SpringerVerlag, 289298.

Lejenas, H., R. A. Madden, and J. J. Hack, 1997:
 Global atmospheric angular momentum and Earthatmosphere
exchange of angular momentum simulated in a general
circulation model. Journal of Geophysical Research,
102, 19311941.

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, 268272.

Madden, R. A., and J. W. Kidson, 1997:
 Potential longrange predictability of temperature
over New Zealand. International Journal of Climatology,
17, 483495.

Meiring, W., P. Monestiez, P. D Sampson, 1997:
 Developments in the modelling of nonstationary spatial
covariance structure from spacetime monitoring data.
Geostatistics Wollongong '96, 1, E. Y. Baafi and N.
Schofield, Eds., Kluwer Academic Publishers, 162173.

Trenberth, K. E., and T. J. Hoar, 1997:
 El Niño and climate change.
Geophysical Research Letters, 24, 30573060.

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, 18951909.
1996

Berliner, L. M., 1996:
 Chaos. Encyclopedia of
Statistical Sciences, S. Kotz, et al., Eds., Wiley, 8489.

Cherry, S., 1996:
 Singular value decomposition analysis and canonical correlation
analysis. Journal of Climate, 9, 20032009.

Katz, R. W., 1996:
 Use of conditional stochastic models to generate climate change
scenarios. Climatic Change, 32, 237255.

Katz, R. W., and M. B. Parlange, 1996:
 Mixtures of stochastic processes: Application to statistical
downscaling. Climate Research, 7, 185193.

Lu, Z.Q., 1996:
 Multivariate locally weighted polynomial fitting and partial
derivative estimation. Journal of Multivariate Analysis,
59, 187205.
1995

Li, L., and B. Flury, 1995:
 Uniqueness of principal points for univariate distributions.
Statistics and Probability Letters, 25, 323327.

Li, L., B. Flury, and T. Tarpey, 1995:
 Principal points of elliptical distributions.
Annals of Statistics, 23, 103112.

Madden, R. A., and P. Speth, 1995:
 Estimates of angular momentum, friction and
mountain torques during 19871988.
Journal of the Atmospheric Sciences, 52, 36813694.

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, 193209.

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, 586597.

Praskovsky, A., and S. Oncley, S., 1995:
 Some inertial range correlators in fully developed turbulence.
Physical Review E, 51, R5197R5199.

Trenberth, K. E., and T. J. Hoar, 1995:
 The 19901995 El Niño Southern Oscillation Event: Longest on record.
Geophysical Research Letters, 23, 5760.
(Nearly complete document, 3 figures not included  compressed
postscript  155 Kbytes  356 Kbytes when uncompressed.)
[© Copyright 1995 by the American Geophysical Union  Paper
number GRL8240DH]

Weber, R. O., and R. A. Madden, 1995:
 Optimal averaging for determination of global mean temperature:
experiments with model data. Journal of Climate, 8, 418430.

Hoar, T. J., and C. R. Wilson, 1994:
 Geosat Observations of Sea
Level Response to Barometric Pressure Forcing.
Geophysical Research Letters, 21,
25152518 [© 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.
NonRefereed 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, 115133.

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, 343357.

Bengtsson, T., and D. Nychka, 2001:
 Adaptive Methods in Numerical Weather.
Proc. First Spanish Workshop on SpatioTemporal 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 highresolution
windforcing from optimal fusion of ERS1 scatterometer.
Proc. ADEOS/NSCAT Science Working Team Meeting, Kyoto Japan.

Chin, T. M., and A. J. Mariano, 1995:
 Kalman filtering of largescale 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 windforcing using scatterometer
data: Implications for basinscale 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, 2124.

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, 531534.

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, 18
 Katz, R. W., 1995:
 Role of stochastic weather generators in climate impact
assessment. Preprints, Ninth Conference on Applied Climatology,
Dallas, TX, American Meteorological Society, 269272.

Katz, R. W., 1995:
 Mixtures of stochastic processes: Application to generation
of climate change scenarios. Preprints, Sixth International
Meeting on Statistical Climatology, Galway, Ireland, 527530.

Katz, R. W., 1995:
 Comments on binomial and negative binomial analogues under
correlated Bernoulli trials, by R. Viveros et al., American
Statistician, 49, 953954.

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, 291294

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 decisionmaking models. Economic
Value of Weather and Climate Forecasts, Cambridge University Press,
183217.
 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 (18951993) 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, TN409+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, 333336.

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:
 Spacetime covariance modelling.
Preprints, Sixth International Meeting on Statistical Climatology,
Galway, Ireland, 423426.

Milliff, R. F., T. J. Hoar, and R. A. Madden, 1995:
 A sample fast eastward moving, disturbance in the equatorial
surface winds from ERS1 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
(TN404+IA) (updated, interactive document)

Shea, D. J., N. A. Sontakke, R. A. Madden, and R. W. Katz, 1995:
 The potential for longrange prediction of precipitation over
India for the Southwest Monsoon season: An analysis of variance
approach. Preprints, Sixth International Meeting on Statistical
Climatology, Galway, Ireland, 475478.

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.
 Applications of Statistics to Modeling the Earth's Climate System,
took place from 619 July, 1994. The proceedings of the colloquium are
contained in the NCAR Technical Note (TN409+PROC).
(519Kbytes of compressed postscript
 ~1.6Meg when uncompressed). Another NCAR Technical Note
An Introduction to Atmospheric and
Oceanographic Data (TN404+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.
 Bailey, B. A., L. M. Berliner, W. Collins, and J. T. Kiehl, 2002: Modeling the spatial and temporal distribution of cloud cover. In Progress.
 Bellone, E., W. Collins, and X. Wu, 2002: Statistical models for cloud
overlap and amount derived from a cloud resolving model. In Progress.
 Gencay, R., F. Selcuk, and B. Whitcher, 2002: Robustness of systematic
risk across time scales. Submitted to Journal of International Money &
Finance.
 Gencay, R., F. Selcuk, and B. Whitcher, 2002: Scale invariance and
timefrequency analysis with wavelet hidden Markov trees. In Progress.
 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.
 Katz, R. W., M. B. Parlange, and C. Tebaldi, 2002:
Stochastic modeling of the effects of largescale circulation on daily
weather in the southeastern U.S. Submitted to Climatic Change.
 Naveau, P., 2002: Almost sure relative stability of the
maximum of a stationary sequence. Submitted to Advances in
Applied Probability.
 Naveau, P., C. Ammann, and H.S. Oh, 2002: A statistical methodology to
extract volcanic signals in climatic time series. In Progress
 Oh, H.S., D. Nychka, T. Brown, and P. Charboneau, 2002: Period analysis
of variable stars by a robust method. In Progress.
 Whitcher, B. and C. K. Wikle, 2002: Spectral analysis
of atmospheric time series using Hilbert wavelet pairs. In Progress.
 Whitcher, B., J. Weiss, D. Nychka, and T. J. Hoar, 2002: A multiresolution
census algorithm for calculating vortex statistics. In Progress.
 Ammann, C., and P. Naveau, 2001: Multidecadal
periodicity in tropical explosive volcanism and its influence on
climate. Submitted to Geophysical Research Letters.
 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.
 Bengtsson, T., and J. Cavanaugh, 2001: Statespace
discrimination using Kullback information measures. In Progress.
 Bengtsson, T., and J. Cavanaugh, 2001: A simulation based
model selection criteria for the statespace framework. In Progress.
 Bengtsson, T., R. H. Jones, and R. F. Milliff, 2001: Estimating
current fields from freely floating buoys. In Progress.
 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.
 Johns, C., D., Nychka, T. Kittel, and C., Daly, 2001:
Infilling Sparse Records of Precipitation Fields Submitted to
Journal of the American Statistical Association.
 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
 Naveau, P., and M. Moncrieff, 2001: A statistical formulation of convective
mass fluxes. Submitted to Quarterly Journal of Royal Meteorological
Society.
 Naveau, P., and H.S. Oh, 2001: Polynomial wavelet regression for images
with irregular boundaries. Submitted to IEEE Transactions on Image
Processing.
 Nychka, D., C. K. Wikle, and J. A. Royle, 2001: Multiresolution models for
nonstationary spatial covariance functions. Submitted to Statistical
Modelling.
 Oh, H.S., C. Ammann, P. Naveau, D. Nychka, and B. OttoBliesner, 2001:
Solar Forcing and Climate: A multiresolution analysis. Submitted to Journal of
Atmospheric and Solarterrestrial Physics.
 Oh, H.S., and T.S. Li, 2001: Wavelet spectrum and its characterization
property for random processes, with TaHsin Li. Submitted to IEEE Trans. on
Information Theory.
 Oh, H.S., T.S. Li, 2001: Estimation of global temperature fields from
scattered observations by a sphericalwaveletbased spatially adaptive method.
Submitted to Journal of the Royal Statistical Society, B.
 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.
 Streett, S., R. Davis, and W. Dunsmuir, 2001:
Observation driven models for Poisson counts. In Progress.
 Whitcher, B., 2001: Waveletbased estimation for seasonal longmemory
processes. In Progress
 Naveau, P., 2000: Almost sure relative stability of the maximum of a
stationary sequence. Submitted to Advances in Applied Probability.
 Tebaldi C., 2000:
Influence of Large Scale Circulation Measures on Precipitation at
Local Stations in the SouthEast US. In Progress.
 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.
 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.
 Eschenberg, M., 1999: Hurricane Eye Stability: A statistical
approach. Masters Thesis Department of Statistics, Colorado State
University.
 Naveau, P., 1999:
Statistical Analysis of the Maximum Vertical Wind Velocity from
Cloud Resolving Models
 Tebaldi, C., D. Nychka, and M. A. Clyde, 1999:
A Bayesian Interpretation of Generalized Cross Validation.
In Progress.
 Hardy, S., 1998:
Smoothing Spline Methods for Response Surfaces: Smoothing Test
and Model Selection.
[abstract]
 Jones, R. H., Y. Zhang, and T. J. Hoar, 1997: Constructing surface wind
spacetime maps from scatterometer data. Submitted to Journal of
Atmospheric and Ocean Technology. [entire
article]
Last modified: Jan 25 2005
by thoar "at" ucar "dot" edu
