Abstract:
Data collected at the Atmospheric Radiation Measurement Program Climate Research Facility (ACRF) sites are employed mainly in column radiation models, to validate the models and develop new parameterizations. Currently, no single methodology can be used with data collected at the spatial scale of the ACRF sites or from specific AmeriFlux locations, to derive suitable grid average or column mean values of measured variables for model evaluation and data assimilation in climate models. Such a tool would generate statistical error estimates of the mean quantities when averaged from the observation grid to the model grid, as well as correlations in errors across space and time. This project will develop such methods and implement a novel approach for generating data ensembles, by using the latest available statistical modeling tools and knowledge of relevant physical and chemical process to develop climatologically aware methods for processing ACRF and other spatially sparse data sets. |
