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Model-data comparison of MCI field campaign atmospheric CO2mole fractions

Authors :
Andrew R. Jacobson
Kenneth J. Davis
Arlyn E. Andrews
Thomas Lauvaux
Natasha L. Miles
Scott J. Richardson
Liza I. Díaz Isaac
Source :
Journal of Geophysical Research: Atmospheres. 119:10536-10551
Publication Year :
2014
Publisher :
American Geophysical Union (AGU), 2014.

Abstract

Atmospheric transport model errors are a major contributor to uncertainty in CO2 inverse flux estimates. Our study compares CO2 mole fraction observations from the North American Carbon Program Mid-Continental Intensive (MCI) field campaign and modeled mole fractions from two atmospheric transport models: the global Transport Model 5 from NOAA's CarbonTracker system and the mesoscale Weather Research and Forecasting model. Both models are coupled to identical CO2 fluxes and lateral boundary conditions from CarbonTracker (CT2009 release). Statistical analyses were performed for two periods of 2007 using observed daily daytime average mole fractions of CO2 to test the ability of these models to reproduce the observations and to infer possible causes of the discrepancies. TM5-CT2009 overestimates midsummer planetary boundary layer CO2 for sites in the U.S. corn belt by 10 ppm. Weather Research and Forecasting (WRF)-CT2009 estimates diverge from the observations with similar magnitudes, but the signs of the differences vary from site to site. The modeled mole fractions are highly correlated with the observed seasonal cycle (r ≥ 0.7) but less correlated in the growing season, where weather-related changes in CO2 dominate the observed variability. Spatial correlations in residuals from TM5-CT2009 are higher than WRF-CT2009 perhaps due to TM5's coarse horizontal resolution and shallow vertical mixing. Vertical mixing appears to have influenced CO2 residuals from both models. TM5-CT2009 has relatively weak vertical mixing near the surface limiting the connection between local CO2 surface fluxes and boundary layer. WRF-CT2009 has stronger vertical mixing that may increase the connections between local surface fluxes and the boundary layer.

Details

ISSN :
2169897X
Volume :
119
Database :
OpenAIRE
Journal :
Journal of Geophysical Research: Atmospheres
Accession number :
edsair.doi...........39bbdbf9ba56fd5cdb353891a7a6d6cc
Full Text :
https://doi.org/10.1002/2014jd021593