Application and evaluation of MODIS LAI, FPAR, and albedo products in the WRF/CMAQ system

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Abstract

MODIS vegetation and albedo products provide a more realistic representation of surface conditions for input to the WRF/CMAQ modeling system. However, the initial evaluation of ingesting MODIS data into the system showed mixed results, with increased bias and error for 2-m temperature and reduced bias and error for 2-m mixing ratio. Recently, the WRF/CMAQ land surface and boundary layer processes have been updated. In this study, MODIS vegetation and albedo data are input to the updated WRF/CMAQ meteorology and air quality simulations for 2006 over a North American (NA) 12-km domain. The evaluation of the simulation results shows that the updated WRF/CMAQ system improves 2-m temperature estimates over the pre-update base modeling system estimates. The MODIS vegetation input produces a realistic spring green-up that progresses through time from the south to north. Overall, MODIS input reduces 2-m mixing ratio bias during the growing season. The NA west shows larger positive O3 bias during the growing season because of reduced gas phase deposition resulting from lower O3 deposition velocities driven by reduced vegetation cover. The O3 bias increase associated with the realistic vegetation representation indicates that further improvement may be needed in the WRF/CMAQ system.

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Ran, L., Pleim, J., Gilliam, R., Hogrefe, C., Binkowski, F., & Band, L. (2016). Application and evaluation of MODIS LAI, FPAR, and albedo products in the WRF/CMAQ system. In Springer Proceedings in Complexity (pp. 619–624). Springer. https://doi.org/10.1007/978-3-319-24478-5_100

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