LIU Lixin

Dr. LIU Lixin


Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2022 in Atmospheric Environment
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Journal Article
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LLLIU Lixin
LIU Lixin
FHFang He
Fang He
XXXiang Xie
Xiang Xie
LDLingfeng Deng
Lingfeng Deng
LXLina Xu
Lina Xu
LXLingjun Xia
Lingjun Xia

22 April 2016 in Science China Earth Sciences
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Journal Article
Closed access
PDF file
LXLingJun Xia
LingJun Xia
LZLingXi Zhou
LingXi Zhou
MSMarcel V. van der Schoot
Marcel V. van der Schoot
CRChris W. Rella
Chris W. Rella
LLLIU Lixin
LIU Lixin
HWHongYang Wang
HongYang Wang

5 October 2024 in Journal of Environmental Sciences
Verified
Journal Article
Closed access
LXLingjun Xia
Lingjun Xia
LLLIU Lixin
LIU Lixin
Gen ZhangGen Zhang
Gen Zhang
PKPing Kong
Ping Kong
BLBozhen Li
Bozhen Li
XQXiaochen Qin
Xiaochen Qin

16 September 2026 in Remote Sensing
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Journal Article
Open access
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ZLZhiqiang Liu
Zhiqiang Liu
LCLijuan Chen
Lijuan Chen
LLLIU Lixin
LIU Lixin
Yuyu ZhouYuyu Zhou
Yuyu Zhou
WZWuchao Zheng
Wuchao Zheng
SYShiqi Yang
Shiqi Yang
Revealing the spatiotemporal patterns and controlling factors of atmospheric CO2 in the Sichuan Basin (SCB) is a prerequisite for the scientific regulation of regional carbon sources and sinks. This study investigates surface and column-averaged CO2 concentrations in SCB and surrounding regions during August to December 2024, using in situ measurements, Orbiting Carbon Observatory-3 (OCO-3) column-averaged CO2 retrievals, and a Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) simulations and footprint analysis. At the national atmospheric background site JinFoShan (JFS), observed CO2 concentrations rose from ~404 ppm in mid-August to around 440 ppm by late December. Comparisons between observations at JFS and WRF-Chem show that simulations driven by Open-source Data Inventory for Anthropogenic CO2 (ODIAC) fossil fuel emissions and Vegetation-Global-Atmosphere-Soil (VEGAS) biosphere fluxes yield the highest Pearson correlation coefficient (r = 0.77). The diurnal and seasonal variabilities at JFS are primarily controlled by biospheric fluxes, with fossil fuel contributions weak in August to September and slightly enhanced in October to December, partly due to regional transport from downtown Chongqing revealed by footprint analysis. By contrast, Yongchuan station, closer to urban Chongqing, shows mean CO2 levels ~10 ppm higher than JFS. For satellite observations, OCO-3 Snapshot Area Map (SAM) measurements over the SCB suffer from substantial missing samples and high spatial noise. We find no spatial correlation exists between SAM retrievals and simulations over Chongqing, and only weak positive correlations appear over Chengdu using ODIAC and Gridded Fossil Emissions Datasets (GridFEDs), whereas results based on the Multi-resolution Emission Inventory for China (MEIC) show no correlation, likely related to biased suburban emission spatial distributions. Overall, the spatial correlations between SAM retrievals and model simulations are weak, ranging from −0.22 to 0.31. To our knowledge, this is the first study to systematically compare in situ observations and OCO-3 SAM retrievals with WRF-Chem simulations in the Sichuan Basin.