Space-time data fusion under error in computer model output: an application to modeling air quality.

ABSTRACT: We provide methods that can be used to obtain more accurate environmental exposure assessment. In particular, we propose two modeling approaches to combine monitoring data at point level with numerical model output at grid cell level, yielding improved prediction of ambient exposure at point level. Extending our earlier downscaler model (Berrocal, V. J., Gelfand, A. E., and Holland, D. M. (2010b). A spatio-temporal downscaler for outputs from numerical models. Journal of Agricultural, Biological and Environmental Statistics 15, 176-197), these new models are intended to address two potential concerns with the model output. One recognizes that there may be useful information in the outputs for grid cells that are neighbors of the one in which the location lies. The second acknowledges poten

SUBMITTER: Berrocal VJ 

PROVIDER: S-EPMC4442701 | biostudies-literature | 2012 Sep

REPOSITORIES: biostudies-literature