2023

Bair, E.H., Dozier, J., Ritter, K., Stillinger, T., Kleiber, W. and Davis, R.E. (2023). How do tradeoffs in satellite spatial and temporal resolution impact snow water equivalent reconstruction? The Cryosphere, 17, 2629-2643, doi:10.5194/tc-17-2629-2023.

Ossandon, A., Rajagoaplan, B. and Kleiber, W. (2023). Forecasting magnitude and frequency of seasonal streamflow extremes using a Bayesian hierarchical framework. Water Resources Research, 59, e2022WR033194, doi:10.1029/2022WR033194.

Berry, C. and Kleiber, W. (2023). Deep variance gamma processes. Stat, 12, e580, doi:10.1002/sta4.580.

Berry, C., Kleiber, W. and Hodge, B.M. (2023). Subordinated Gaussian processes for solar irradiance. Environmetrics, 34, e2800, doi:10.1002/env.2800.

Krock, M., Kleiber, W., Hammerling, D. and Becker, S. (2023). Modeling massive highly-multivariate nonstationary spatial data with the basis graphical lasso. Journal of Computational and Graphical Statistics, doi:10.1080/10618600.2023.2174126.

Kleiber, W., Sain, S., Madaus, L. and Harr, P. (2023). Stochastic tropical cyclone precipitation field generation. Environmetrics, 34, e2766, doi:10.1002/env.2766.

2022

Honeyman, A., Fegel, T., Peel, H., Masters, N., Vuono, D., Kleiber, W., Rhoades, C. and Spear, J. (2022). Statistical learning and uncommon soil microbiota explain biogeochemical responses after wildfire. Applied and Environmental Microbiology, 88, e0034322 doi:10.1128/aem.00343-22.

Ossandon, A., Brunner, M. I., Rajagopalan, B. and Kleiber, W. (2022). A space-time Bayesian hierarchical modeling framework for projection of seasonal maximum streamflow. Hydrology and Earth System Sciences, 26, 149-166, doi:10.5194/hess-26-149-2022.

Zhang, W., Kleiber, W., Hodge, B. M. and Mather, B. (2022). A nonstationary and non-Gaussian moving average model for solar irradiance. Environmetrics, 33, e2712, doi:10.1002/env.2712.

2021

Stanley, Z., Grooms, I. and Kleiber, W. (2021). Multivariate localization functions for strongly coupled data assimilation in the bivariate Lorenz 96 system. Nonlinear Processes in Geophysics, 28, 565-583, doi:10.5194/npg-28-565-2021.

Rittger, K., Krock, M., Kleiber, W., Bair, E., Brodzik, M.J., Stephenson, T., Rajagopalan, B., Bormann, K.J. and Painter, T. (2021). Multi-sensor fusion using random forests for daily fractional snow cover at 30 m. Remote Sensing of Environment, 264, 112608 doi:10.1016/j.rse.2021.112608.

Ossandon, A., Rajagopalan, B. and Kleiber, W. (2021). Spatial-temporal multivariate semi-Bayesian hierarchical framework for extreme precipitation frequency analysis. Journal of Hydrology, 600, 126499, doi:10.1016/j.jhydrol.2021.126499.

Shields, M., Beiter, P. and Kleiber, W. (2021). Spatial impacts of technological innovations on the levelized cost of energy for offshore wind power plants in the United States. Sustainable Energy Technologies and Assessments, 45, 101059, doi:10.1016/j.seta.2021.101059.

Wiens, A., Kleiber, W., Nychka, D. and Barnhart, K.R. (2021). Nonrigid registration using Gaussian processes and local likelihood estimation. Mathematical Geosciences, doi:10.1007/s11004-020-09917-7.

Krock, M., Kleiber, W. and Becker, S. (2021). Nonstationary modeling with sparsity for spatial data via the basis graphical lasso. Journal of Computational and Graphical Statistics, 30, 375-389, doi:10.1080/10618600.2020.1811103.

Doubleday, K., Jascourt, S., Kleiber, W. and Hodge, B.M. (2021). Probabilistic solar power forecasting using Bayesian model averaging. IEEE Transactions on Sustainable Energy, 12, 325-337.

2020

Stanley, Z., Grooms, I., Kleiber, W., Bachman, S.D., Castruccio, F. and Adcroft, A. (2020). Parameterizing the impact of unresolved temperature variability on the large scale density field. Part I: Theory. Journal of Advances in Modeling Earth Systems, doi:10.1029/2020MS002185.

Horvath, S., Stroeve, J., Rajagopalan, B. and Kleiber, W. (2020). A Bayesian logistic regression for probabilistic forecasts of the minimum September Arctic sea ice cover. Earth and Space Science, 7, doi:10.1029/2020EA001176.

Wiens, A., Nychka, D. and Kleiber, W. (2020). Modeling spatial data using local likelihood estimation and a Matérn to spatial autoregressive translation. Environmetrics, doi:10.1002/env.2652.

Jacobson, J., Kleiber, W., Scheuerer, M. and Bellier, J. (2020). Beyond univariate calibration: Verifying spatial structure in ensembles of forecast fields. Nonlinear Processes in Geophysics, 27, 411-427.

North, J., Stanley, Z., Kleiber, W., Deierling, W., Gilleland, E. and Steiner, M. (2020). A statistical approach to fast nowcasting of lightning potential fields. Advances in Statistical Climatology, Meteorology and Oceanography, 6, 79-90.

Raseman, W.J., Rajagopalan, B., Kasprzyk, J.R. and Kleiber, W. (2020). Nearest neighbor time series bootstrap for generating influent water quality scenarios. Stochastic Environmental Research and Risk Assessment, 34, 23-31.

Wiens, A., Kleiber, W., Barnhart, K.R. and Sain, D. (2020). Surface estimation for multiple misaligned point sets. Mathematical Geosciences, 52, 527-542.

2019

Verdin, A., Rajagopalan, B., Kleiber, W., Podesta, G. and Bert, F. (2019). BayGEN: A Bayesian space-time stochastic weather generator. Water Resources Research, 55, 2900-2915.

Kleiber, W., Nychka, D. and Bandyopadhyay, S. (2019). A model for large multivariate spatial data sets. Statistica Sinica, 29, 1085-1104.

Grooms, I. and Kleiber, W. (2019). Diagnosing, modeling, and testing a multiplicative stochastic Gent-McWilliams parameterization. Ocean Modelling, 133, 1-10.

Zhang, W., Kleiber, W., Florita, A.R., Hodge, B.M. and Mather, B. (2019). Modeling and simulation of high frequency solar irradiance. IEEE Journal of Photovoltaics, 9, 124-131.

2018

Zhang, W., Kleiber, W., Florita, A.R., Hodge, B.M. and Mather, B. (2018). A stochastic downscaling approach for generating high-frequency solar irradiance scenarios. Solar Energy, 176, 370-379.

Robinson, G., Grooms, I. and Kleiber, W. (2018). Improving particle filter performance by smoothing observations. Monthly Weather Review, 146, 2433-2446.

Verdin, A., Rajagopalan, B., Kleiber, W., Podesta, G. and Bert, F. (2018). A conditional stochastic weather generator for seasonal to multi-decadal simulations. Journal of Hydrology, 556, 835-846.

2017

Laga, I. and Kleiber, W. (2017). The modified Matérn process. Stat, 6, 241-247.

Wong, T., Kleiber, W. and Noone, D. (2017). The impact of error accounting in a Bayesian approach to calibrating modeled turbulent fluxes in an open-canopy forest. Journal of Hydrometeorology, 18, 2029-2042.

Kleiber, W. (2017). Coherence for multivariate random fields. Statistica Sinica, 27, 1675-1697.

Olson, B. and Kleiber, W. (2017). Approximate Bayesian Computation methods for daily spatiotemporal precipitation occurrence simulation. Water Resources Research, 53, 3352-3372.

2016

Bracken, C., Rajagopalan, B., Cheng, L., Kleiber, W. and Gangopadhyay, S. (2016). Spatial Bayesian hierarchical modeling of precipitation extremes over a large domain. Water Resources Research, 52, 6643-6655.

Kleiber, W. (2016). High resolution simulation of nonstationary Gaussian random fields. Computational Statistics and Data Analysis, 101, 277-288.

Kleiber, W., Hendershott, B., Sain, S. and Wiltberger, M. (2016). Feature-based validation of the Lyon-Fedder-Mobarry magnetohydrodynamical model. Journal of Geophysical Research: Space Physics, 121, 1192-1200.

Verdin, A., Funk, C., Rajagopalan, B. and Kleiber, W. (2016). Kriging and local polynomial methods for blending satellite-derived and gauge precipitation estimates to support hydrologic early warning systems. IEEE Transactions on Geoscience and Remote Sensing, 54, 2552-2562.

2015

Genton, M.G. and Kleiber, W. (2015). Cross-covariance functions for multivariate geostatistics. (With discussion). Statistical Science, 30, 147-163.

Hering, A.S., Kazor, K. and Kleiber, W. (2015). A Markov-switching vector autoregressive stochastic wind generator for multiple spatial and temporal scales. Resources, 4, 70-92.

Kleiber, W. and Nychka, D. (2015). Equivalent kriging. Spatial Statistics, 12, 31-49.

Verdin, A., Rajagopalan, B., Kleiber, W. and Funk, C. (2015). A Bayesian kriging approach for blending satellite and ground precipitation observations. Water Resources Research, 51, 908-921.

Kleiber, W. and Porcu, E. (2015). Nonstationary matrix covariances: Compact support, long range dependence and quasi-arithmetic constructions. Stochastic Environmental Research and Risk Assessment, 29, 193-204.

Verdin, A., Rajagopalan, B., Kleiber, W. and Katz, R.W. (2015). Coupled stochastic weather generation using spatial and generalized linear models. Stochastic Environmental Research and Risk Assessment, 29, 347-356.

Heaton, M.J., Kleiber, W., Sain, S.R. and Wiltberger, M. (2015). Emulating and calibrating the multiple-fidelity Lyon-Fedder-Mobarry magnetosphere-ionosphere coupled computer model. Journal of the Royal Statistical Society, Series C, 64, 93-113.

2014

Kleiber, W., Sain, S. and Wiltberger, M. (2014). Model calibration via deformation. SIAM/ASA Journal on Uncertainty Quantification, 2, 545-563, doi:10.1137/130935367.

2013

Kleiber, W., Sain, S.R., Heaton, M.J., Wiltberger, M., Reese, C.S. and Bingham, D. (2013). Parameter tuning for a multi-fidelity dynamical model of the magnetosphere. Annals of Applied Statistics, 7, 1286-1310.

Kleiber, W., Katz, R.W. and Rajagopalan, B. (2013). Daily minimum and maximum temperature simulation over complex terrain. Annals of Applied Statistics, 7, 588-612, doi:10.1214/12-AOAS602.

Kleiber, W. and Genton, M.G. (2013). Spatially varying cross-correlation coefficients in the presence of nugget effects. Biometrika, 100, 213-220, doi:10.1093/biomet/ass057.

2012

Kleiber, W. and Nychka, D.W. (2012). Nonstationary modeling for multivariate spatial processes. Journal of Multivariate Analysis, 112, 76-91.

Kleiber, W., Katz, R.W. and Rajagopalan, B. (2012). Daily spatio-temporal precipitation simulation using latent and transformed Gaussian processes. Water Resources Research, doi:10.1029/2011WR011105.

2011

Kleiber, W., Raftery, A.E. and Gneiting, T. (2011). Geostatistical model averaging for locally calibrated probabilistic quantitative precipitation forecasting. Journal of the American Statistical Association, 106, 1291-1303.

Kleiber, W., Raftery, A.E., Baars, J., Gneiting, T., Mass, C.F. and Grimit, E. (2011). Locally calibrated probabilistic temperature forecasting using geostatistical model averaging and local Bayesian model averaging. Monthly Weather Review, 139, 2630-2649.

2010

Gneiting, T., Kleiber, W. and Schlather, M. (2010). Matérn cross-covariance functions for multivariate random fields. Journal of the American Statistical Association, 105, 1167-1177.