BibTex format
@article{Oda:2012:10.1029/2012GM001263,
author = {Oda, T and Ganshin, A and Saito, M and Andres, RJ and Zhuravlev, R and Sawa, Y and Fisher, RE and Rigby, M and Lowry, D and Tsuboi, K and Matsueda, H and Nisbet, EG and Toumi, R and Lukyanov, A and Maksyutov, S},
doi = {10.1029/2012GM001263},
journal = {Geophysical Monograph Series},
pages = {173--183},
title = {The use of a high-resolution emission data set in a global eulerian-lagrangian coupled model},
url = {http://dx.doi.org/10.1029/2012GM001263},
volume = {200},
year = {2012}
}
RIS format (EndNote, RefMan)
TY - JOUR
AB - We present a method to simulate atmospheric tracer concentration at a high spatiotemporal scale by coupling a Lagrangian particle dispersion model and a global Eulerian transport model. In this paper, we used the global Eulerian- Lagrangian coupled atmospheric transport model that has a capability of accommodating a high-resolution emission data set. Hourly atmospheric CO <inf>2</inf> at three different sites over winter months (December, January, and February) were simulated. Model performance was measured by comparing observations relative to a control run implemented by the single Eulerian model. We also examined the inclusion of fossil fuel CO<inf>2</inf> emission data sets at a high spatial resolution by using two data sets prepared at different spatial resolutions (1° and 1 km resolution). The model performance, such as accuracy, bias, and reproducibility of concentration variation, was improved by the use of the Eulerian-Lagrangian coupling method as well as the fossil fuel CO<inf>2</inf> emission data set prepared at higher spatial resolution. However, the model tends to overestimate observations compared to the control run. The improvement in accuracy and bias was found at simulations of measurements with high CO<inf>2</inf> concentration where global Eulerian models, in general, could underestimate due to the lack of regional depiction in their aggregated, prescribed emissions. This study suggests that Eulerian-Lagrangian coupling could improve the model reproducibility of observed CO<inf>2</inf> by reducing flux aggregation error, though error due to mismatch in spatiotemporal scale between wind fields and emission data still remains in our current model setup. In particular, the inclusion of high-resolution fossil fuel CO<inf>2</inf> emission data would benefit atmospheric CO<inf>2</inf> simulations at locations where local anthropogenic contributions are predominant.
AU - Oda,T
AU - Ganshin,A
AU - Saito,M
AU - Andres,RJ
AU - Zhuravlev,R
AU - Sawa,Y
AU - Fisher,RE
AU - Rigby,M
AU - Lowry,D
AU - Tsuboi,K
AU - Matsueda,H
AU - Nisbet,EG
AU - Toumi,R
AU - Lukyanov,A
AU - Maksyutov,S
DO - 10.1029/2012GM001263
EP - 183
PY - 2012///
SP - 173
TI - The use of a high-resolution emission data set in a global eulerian-lagrangian coupled model
T2 - Geophysical Monograph Series
UR - http://dx.doi.org/10.1029/2012GM001263
VL - 200
ER -