Publication Details

Combining tower mixing ratio and community model data to estimate regional-scale net ecosystem carbon exchange by boundary layer inversion over four flux towers in the United States

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Dang, Xueri; Lai, Chun-Ta; Hollinger, David Y.; Schauer, Andrew J.; Xiao, Jingfeng; Munger, J. William; Owensby, Clenton; Ehleringer, James R.

Year Published

2011

Publication

Journal of Geophysical Research 116: 1-17. G03036, doi:10.1029/2010JG001554.

Abstract

We evaluated an idealized boundary layer (BL) model with simple parameterizations using vertical transport information from community model outputs (NCAR/NCEP Reanalysis and ECMWF Interim Analysis) to estimate regional-scale net CO2 fluxes from 2002 to 2007 at three forest and one grassland flux sites in the United States. The BL modeling approach builds on a mixed-layer model to infer monthly average net CO2 fluxes using high-precision mixing ratio measurements taken on flux towers. We compared BL model net ecosystem exchange (NEE) with estimates from two independent approaches. First, we compared modeled NEE with tower eddy covariance measurements. The second approach (EC-MOD) was a data‐driven method that upscaled EC fluxes from towers to regions using MODIS data streams.

Citation

Dang, Xueri; Lai, Chun-Ta; Hollinger, David Y.; Schauer, Andrew J.; Xiao, Jingfeng; Munger, J. William; Owensby, Clenton; Ehleringer, James R. 2011. Combining tower mixing ratio and community model data to estimate regional-scale net ecosystem carbon exchange by boundary layer inversion over four flux towers in the United States. Journal of Geophysical Research 116: 1-17. G03036, doi:10.1029/2010JG001554. https://doi.org/10.1029/2010JG001554.

Last updated on: January 26, 2012