Search Results - "Nychka, D."

Data-optimized Coronal Field Model. I. Proof of Concept by Dalmasse, K., Savcheva, A., Gibson, S. E., Fan, Y., Nychka, D. W., Flyer, N., Mathews, N., DeLuca, E. E.

“…Deriving the strength and direction of the three-dimensional (3D) magnetic field in the solar atmosphere is fundamental for understanding its dynamics. Volume…”
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Regional probabilities of precipitation change: A Bayesian analysis of multimodel simulations by Tebaldi, C., Mearns, L. O., Nychka, D., Smith, R. L.

“…Tebaldi et al. [2005] present a Bayesian approach to determining probability distribution functions (PDFs) of temperature change at regional scales, from the…”
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Consistency of modelled and observed temperature trends in the tropical troposphere by Santer, B. D., Thorne, P. W., Haimberger, L., Taylor, K. E., Wigley, T. M. L., Lanzante, J. R., Solomon, S., Free, M., Gleckler, P. J., Jones, P. D., Karl, T. R., Klein, S. A., Mears, C., Nychka, D., Schmidt, G. A., Sherwood, S. C., Wentz, F. J.

“…A recent report of the U.S. Climate Change Science Program (CCSP) identified a ‘potentially serious inconsistency’ between modelled and observed trends in…”
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Spatially and temporally consistent prediction of heavy precipitation from mean values by Benestad, R. E., Nychka, D., Mearns, L. O.

“…The discovery of an apparently universal function describing the frequency distribution for 24-h precipitation leads to a formula relating heavy precipitation…”
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Probabilistic reconstructions of local temperature and soil moisture from tree-ring data with potentially time-varying climatic response by Tolwinski-Ward, S. E., Tingley, M. P., Evans, M. N., Hughes, M. K., Nychka, D. W.

“…We explore a probabilistic, hierarchical Bayesian approach to the simultaneous reconstruction of local temperature and soil moisture from tree-ring width…”
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A new ensemble-based consistency test for the Community Earth System Model (pyCECT v1.0) by Baker, A. H, Hammerling, D. M, Levy, M. N, Xu, H, Dennis, J. M, Eaton, B. E, Edwards, J, Hannay, C, Mickelson, S. A, Neale, R. B, Nychka, D, Shollenberger, J, Tribbia, J, Vertenstein, M, Williamson, D

“…Climate simulation codes, such as the Community Earth System Model (CESM), are especially complex and continually evolving. Their ongoing state of development…”
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Statistical significance of trends and trend differences in layer-average atmospheric temperature time series by Santer, B. D., Wigley, T. M. L., Boyle, J. S., Gaffen, D. J., Hnilo, J. J., Nychka, D., Parker, D. E., Taylor, K. E.

“…This paper examines trend uncertainties in layer‐average free atmosphere temperatures arising from the use of different trend estimation methods. It also…”
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Changes in frost days in simulations of twentyfirst century climate by MEEHL, G. A, TEBALDI, C, NYCHKA, D

“…Global coupled climate model simulations of twentieth and twentyfirst century climate are analyzed for changes in frost days (defined as nighttime minima less…”
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Spatial patterns of probabilistic temperature change projections from a multivariate Bayesian analysis by Furrer, R., Knutti, R., Sain, S. R., Nychka, D. W., Meehl, G. A.

“…We present probabilistic projections for spatial patterns of future temperature change using a multivariate Bayesian analysis. The methodology is applied to…”
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Constructing valid spatial processes on the sphere using kernel convolutions by  Heaton, M.J., Katzfuss, M., Berrett, C.,  Nychka, D.W.

“…Remotely sensed data products are now routinely used to study various aspects of the Earth's atmosphere. These remote sensing datasets are typically very high…”
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Multivariate sensitivity analysis of saturated flow through simulated highly heterogeneous groundwater aquifers by Winter, C.L., Guadagnini, A., Nychka, D., Tartakovsky, D.M.

“…A multivariate Analysis of Variance (ANOVA) is used to measure the relative sensitivity of groundwater flow to two factors that indicate different dimensions…”
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Development and greenhouse gas emissions deviate from the 'modernization' theory and 'convergence' hypothesis by Lankao, P. Romero, Nychka, D., Tribbia, J. L.

“…Projections of future climate change partly depend on the assumptions made for future emissions of greenhouse gases (GHG). These emissions are typically…”
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Noise and Nonlinearity in Measles Epidemics: Combining Mechanistic and Statistical Approaches to Population Modeling by Ellner, S. P., Bailey, B. A., Bobashev, G. V., Gallant, A. R., Grenfell, B. T., Nychka, D. W.

“…We present and evaluate an approach to analyzing population dynamics data using semimechanistic models. These models incorporate reliable information on…”
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Exploring Fitness Surfaces by Schluter, Dolph, Nychka, Douglas

“…We present a nonparametric method to estimate the form of multivariate selection on a suite of quantitative traits. Its advantages are threefold. First, the…”
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Modeling the effects of meteorology on ozone in Houston using cluster analysis and generalized additive models by Davis, J.M., Eder, B.K., Nychka, D., Yang, Q.

“…This paper compares the results from a single-stage clustering technique (average linkage) with those of a two-stage technique (average linkage then k-means)…”
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Changes in Surface Air Temperature Caused by Desiccation of the Aral Sea by Small, Eric E., Sloan, Lisa Cirbus, Nychka, Doug

“…A statistical method for establishing the cause–effect relationship between a land surface modification and some component of observed climatic change is…”
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Modes of high-latitude electric field variability derived from DE-2 measurements: Empirical Orthogonal Function (EOF) analysis by Matsuo, Tomoko, Richmond, Arthur D., Nychka, Douglas W.

“…In this study we characterize dominant modes of high‐latitude electric field variability as a set of two‐dimensional empirical orthogonal functions (EOFs),…”
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A Smoothed EM Approach to Indirect Estimation Problems, with Particular, Reference to Stereology and Emission Tomography by Silverman, B. W., Jones, M. C., Wilson, J. D., Nychka, D. W.

“…There are many practical problems where the observed data are not drawn directly from the density g of real interest, but rather from another distribution…”
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explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach by Lindgren, Finn, Rue, Håvard, Lindström, Johan

“…Continuously indexed Gaussian fields (GFs) are the most important ingredient in spatial statistical modelling and geostatistics. The specification through the…”
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Data-Optimized Coronal Field Model: I. Proof of Concept by Dalmasse, K, Savcheva, A, Gibson, S. E, Fan, Y, Nychka, D. W, Flyer, N, Mathews, N, DeLuca, E. E

“…Deriving the strength and direction of the three-dimensional (3D) magnetic field in the solar atmosphere is fundamental for understanding its dynamics. Volume…”
Get full text