The value of multi-proxy reconstruction of past climate.
B. Li, D. Nychka and C. Ammann
(PDF) 835K
In revision
for JASA.
Bayesian Modeling of Uncertainty in Ensembles of Climate Models Smith, R., C. Tebaldi, D. Nychka, and L. O. Mearns (2008) To appear Journal of the American Statistical Association . (PDF)
Uncertainty in Climate Predictions
Douglas Nychka,
Juan M. Restrepo
and Claudia Tebaldi.
(PDF) 2.5M
Introduction to some math and stat problems connected with interpreting
climate model simulations. Written for the American Mathematical Society,
Math Awareness Month on
Mathematics and Climate April, 2009
Nonstationary Covariance Modeling for Incomplete Data: Monte Carlo EM
approach
Matsuo, T., D Nychka and D. Paul (2008)
In review
(PDF) 930K
supplement (PDF) 140K
Data Assimilation
D. Nychka and J.L. Anderson (2008)
Draft article for the Handbook on Spatial Statistics
(PDF) 584K
Covariance Tapering for Likelihood Based Estimation in Large Spatial Datasets C. Kaufman, M. Schervish, and D. Nychka (2008) To appear Journal of the American Statistical Association (PDF) 288K
Interpolating Fields of Carbon Monoxide Data
Using a hybrid Statistical-Physical Model
A. Malmberg, A. Arellano D, P. Edwards
N. Flyer and D. Nychka (2008)
To appear Annals of Applied
Statistics
(PDF) 282K
Spatial Analysis to Quantify Numerical Model Bias and Dependence: How Many Climate Models Are There? Jun, M., Knutti, R., Nychka, D.W. (2008) To appear. Journal of the American Statistical Association. PDF (PDF) 1.7M
Local eigenvalue analysis of CMIP3 climate model errors
Jun, M., R. Knutti, and D W. Nychka (2008).
Tellus
(PDF) 652K
Parameter estimation for computationally intensive nonlinear regression with an application to climate modeling Drignei, D., C.E. Forest, and D Nychka (2007). To appear Annals of Applied Statistics PDF 230K)
A framework to understand the asymptotic properties of Kriging and splines Eva M. Furrer and Douglas W. Nychka (2006) (PDF) 177K
Design of Air-Quality Monitoring Networks'' D. Nychka and N. Saltzman (1998) in Case Studies in Environmental Statistics, Lecture Notes in Statistics ed. Nychka, D., Cox, L. and Piegorsch, W. , Springer Verlag, New York. PS 908K
Spatial Process Estimates as Smoothers. D. Nychka (2000) in Smoothing and Regression. Approaches, Computation and Application, ed. Schimek, M. G., Wiley, New York, 393-424 in PDF 652K