Final published version
Licence: CC BY-NC-ND: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
TY - JOUR
T1 - Reducing Long-Standing Surface Ozone Overestimation in Earth System Modeling by High-Resolution Simulation and Dry Deposition Improvement
AU - Gao, Yang
AU - Kou, Wenbin
AU - Cheng, Wenxuan
AU - Guo, Xiuwen
AU - Qu, Binglin
AU - Wu, Yubing
AU - Zhang, Shaoqing
AU - Liao, Hong
AU - Chen, Deliang
AU - Leung, L. Ruby
AU - Wild, Oliver
AU - Zhang, Junxi
AU - Lin, Guangxing
AU - Su, Hang
AU - Cheng, Yafang
AU - Pöschl, Ulrich
AU - Pozzer, Andrea
AU - Zhang, Leiming
AU - Lamarque, Jean-Francois
AU - Guenther, Alex B.
AU - Brasseur, Guy
AU - Liu, Zhao
AU - Lu, Haitian
AU - Li, Chenlin
AU - Zhao, Bin
AU - Wang, Shuxiao
AU - Huang, Xin
AU - Pan, Jingshan
AU - Liu, Guangliang
AU - Liu, Xin
AU - Lin, Haipeng
AU - Zhao, Yuanhong
AU - Zhao, Chun
AU - Meng, Junlei
AU - Yao, Xiaohong
AU - Gao, Huiwang
AU - Wu, Lixin
PY - 2025/3/31
Y1 - 2025/3/31
N2 - The overestimation of surface ozone concentration in low-resolution global atmospheric chemistry and climate models has been a long-standing issue. We first update the ozone dry deposition scheme in both high- (0.25°) and low-resolution (1°) Community Earth System Model (CESM) version 1.3 runs, by adding the effects of leaf area index and correcting the sunlit and shaded fractions of stomatal resistances. With this update, 5-year-long summer simulations (2015–2019) using the low-resolution CESM still exhibit substantial ozone overestimation (by 6.0–16.2 ppbv) over the U.S., Europe, eastern China, and ozone pollution hotspots. The ozone dry deposition scheme is further improved by adjusting the leaf cuticle conductance, reducing the mean ozone bias by 19 and increasing the model resolution further reduces the ozone overestimation by 43 revealing distinctive pathways in urban versus rural areas. In rural areas, grid spacing mainly affects daytime ozone levels, where additional NOx emissions from nearby urban areas result in an ozone boost and overestimation in low-resolution simulations. In contrast, over urban areas, daytime ozone overestimation follows a similar mechanism due to the influence of volatile organic compounds from surrounding rural areas. However, nighttime ozone overestimation is closely linked to weakened NO titration owing to the redistribution of urban NOx to rural areas. Additionally, stratosphere-troposphere exchange may also contribute to reducing ozone bias in high-resolution simulations, warranting further investigation. This optimized high-resolution CESM may enhance understanding of ozone formation mechanisms, sources, and changes in a warming climate.
AB - The overestimation of surface ozone concentration in low-resolution global atmospheric chemistry and climate models has been a long-standing issue. We first update the ozone dry deposition scheme in both high- (0.25°) and low-resolution (1°) Community Earth System Model (CESM) version 1.3 runs, by adding the effects of leaf area index and correcting the sunlit and shaded fractions of stomatal resistances. With this update, 5-year-long summer simulations (2015–2019) using the low-resolution CESM still exhibit substantial ozone overestimation (by 6.0–16.2 ppbv) over the U.S., Europe, eastern China, and ozone pollution hotspots. The ozone dry deposition scheme is further improved by adjusting the leaf cuticle conductance, reducing the mean ozone bias by 19 and increasing the model resolution further reduces the ozone overestimation by 43 revealing distinctive pathways in urban versus rural areas. In rural areas, grid spacing mainly affects daytime ozone levels, where additional NOx emissions from nearby urban areas result in an ozone boost and overestimation in low-resolution simulations. In contrast, over urban areas, daytime ozone overestimation follows a similar mechanism due to the influence of volatile organic compounds from surrounding rural areas. However, nighttime ozone overestimation is closely linked to weakened NO titration owing to the redistribution of urban NOx to rural areas. Additionally, stratosphere-troposphere exchange may also contribute to reducing ozone bias in high-resolution simulations, warranting further investigation. This optimized high-resolution CESM may enhance understanding of ozone formation mechanisms, sources, and changes in a warming climate.
KW - high-resolution Earth system model
KW - surface ozone simulation
KW - ozone bias in global models
KW - ozone dry deposition
U2 - 10.1029/2023MS004192
DO - 10.1029/2023MS004192
M3 - Journal article
VL - 17
JO - Journal of Advances in Modeling Earth Systems
JF - Journal of Advances in Modeling Earth Systems
SN - 1942-2466
IS - 3
M1 - e2023MS004192
ER -