Changxing Lan

Mr. Changxing Lan

orcid

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

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

Representative Publications

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3 August 2018 in Journal of Geophysical Research: Atmospheres
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Journal Article
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CLChangxing Lan
Changxing Lan
HLHeping Liu
Heping Liu
DLDan Li
Dan Li
GKGabriel G. Katul
Gabriel G. Katul
DFDennis Finn
Dennis Finn
Turbulence structures and exchange of momentum and heat in the nocturnal stable boundary layer (SBL) show distinct features under different stability conditions prompting interest in their connection. Here eddy covariance data collected at four different heights on a 62‐m meteorological tower over a large open flat terrain are used to characterize different SBL states and associated turbulence structures. In a SBL characterized by strong near‐surface winds, turbulent eddy sizes scale with their observational heights and the SBL experiences enhanced turbulent mixing of momentum and heat throughout (a state hereafter referred to as a “coupled” state). Conversely, in a decoupled SBL, weak winds occur near the surface and turbulent eddies are depressed and detached from the boundary leading to suppressed vertical mixing and layered SBL profiles. Because the transport of momentum and heat to the surface across SBL layers is determined by turbulent eddies, cross‐layer correlation and the aforementioned SBL coupling states can be delineated by distinct turbulence structures.

7 May 2024 in Atmospheric Measurement Techniques
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Journal Article
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CLChangxing Lan
Changxing Lan
MMMatthias Mauder
Matthias Mauder
SSStavros Stagakis
Stavros Stagakis
BLBenjamin Loubet
Benjamin Loubet
CDClaudio D'ONofrio
Claudio D'ONofrio
PHPedro-Henrique Herig-Coimbra
Pedro-Henrique Herig-Coimbra
Long-term tall-tower eddy-covariance (EC) measurements have been recently established in three European pilot cities as part of the ICOS-Cities project. We conducted a comparison of EC software to ensure a reliable generation of interoperable flux estimates, which is the prerequisite for avoiding methodological biases and improving the comparability of the results. We analyzed datasets covering 5 months collected from EC tall-tower installations located in urbanized areas of Munich, Zurich, and Paris. Fluxes of sensible heat, latent heat, and CO2 were calculated using three software packages (i.e., TK3, EddyPro, and eddy4R) to assess the uncertainty of flux estimations attributed to differences in implemented postprocessing schemes. A very good agreement on the mean values and standard deviations was found across all three sites, which can probably be attributed to a uniform instrumentation, data acquisition, and preprocessing. The overall comparison of final flux time series products showed a good but not yet perfect agreement among the three software packages. TK3 and EddyPro both calculated fluxes with low-frequency spectral correction, resulting in better agreement than between TK3 and the eddy4R workflow with disabled low-frequency spectral treatment. These observed flux discrepancies indicate the crucial role of treating low-frequency spectral loss in flux estimation for tall-tower EC systems.

17 October 2022 in Journal of Geophysical Research: Atmospheres
Verified
Journal Article
Closed access
CLChangxing Lan
Changxing Lan
HLHeping Liu
Heping Liu
GKGabriel G. Katul
Gabriel G. Katul
DLDan Li
Dan Li
DFDennis Finn
Dennis Finn

4 June 2019 in Geophysical Research Letters
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Journal Article
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CLChangxing Lan
Changxing Lan
HLHeping Liu
Heping Liu
GKGabriel G. Katul
Gabriel G. Katul
DLDan Li
Dan Li
DFDennis Finn
Dennis Finn
Due to strong mean wind shear, the stable boundary layer (SBL) becomes vertically coupled. In a coupled SBL, large turbulent eddies enhance cross‐layer mixing and vertically mix turbulent kinetic energy. However, large gradients in momentum and heat fluxes are frequently observed, degrading the performance of Monin‐Obukhov similarity theory. It is shown that increased vertical gradients of mean variables (i.e., wind speed and potential temperature) can cause flux gradients. This process is operated upon by downward penetrating large eddies with altered phase difference, contributing unevenly to fluxes and thus causing flux gradients. In the coupled SBL with small gradients in mean variables, large eddies are vertically synchronized, contributing evenly to fluxes across layers and thus causing small flux gradients. As turbulent production becomes weak and the cross‐layer difference in turbulent flux transport increases, large eddies become less vertically synchronized, contributing unevenly to fluxes across layers and thus causing large flux gradients.

23 March 2022 in Remote Sensing
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Journal Article
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ZZZhijie Zhang
Zhijie Zhang
LLLi Liu
Li Liu
BWBaomin Wang
Baomin Wang
HTHaobo Tan
Haobo Tan
CLChangxing Lan
Changxing Lan
P.W. ChanP.W. Chan
P.W. Chan
The lidar ratio (LR) is a key parameter for the retrieval of atmospheric optical parameters from lidar equations. In this study, we simulated the optical parameters to investigate the impact factors of the LR using a three-component optical aerosol assumption based on the Mie model. The simulated LR was generally related to the overall particle size of the aerosols, the proportion of elemental carbon (EC), as well as aerosol mixing states and hygroscopicity. The LR was positively correlated with the particle size and volume fraction of elemental carbon (fEC). The LR increased more than three-fold with the increase in fEC from 0% to 40%. The LR of the core-shell (CS) mixing state and homogeneously internal (INT) mixing state was greater than that of the external (EXT) mixing state. The LR of all mixing states increased monotonically with hygroscopicity when the fEC was below 10%, while the LR of the core-shell mixing state (homogeneously internal mixing state) initially decreased (increased) and then increased (decreased) with increasing hygroscopicity when the fEC was more than 20%. These results will help in selecting a reasonable LR for practical applications.

12 April 2023 in Journal of Geophysical Research: Atmospheres
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Journal Article
Closed access
CLChangxing Lan
Changxing Lan
JXJielan Xie
Jielan Xie
Lei LiLei Li
Lei Li
BWBaomin Wang
Baomin Wang
HYHonglong Yang
Honglong Yang
JLJieying Lu
Jieying Lu