A Spatio-Temporal Downscaler for Output From Numerical Models.

ABSTRACT: Often, in environmental data collection, data arise from two sources: numerical models and monitoring networks. The first source provides predictions at the level of grid cells, while the second source gives measurements at points. The first is characterized by full spatial coverage of the region of interest, high temporal resolution, no missing data but consequential calibration concerns. The second tends to be sparsely collected in space with coarser temporal resolution, often with missing data but, where recorded, provides, essentially, the true value. Accommodating the spatial misalignment between the two types of data is of fundamental importance for both improved predictions of exposure as well as for evaluation and calibration of the numerical model. In this article we propose a sim

SUBMITTER: Berrocal VJ 

PROVIDER: S-EPMC2990198 | biostudies-literature | 2010 Jun

REPOSITORIES: biostudies-literature