Simulating heat and CO<sub>2</sub> fluxes in Beijing using SUEWS V2020b: sensitivity to vegetation phenology and maximum conductance

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Abstract CO 2 Q H Q E CO 2 F C g max LAI) is examined. Site-specific g max LAI parameters are extracted by optimization with remotely sensed LAI obtained from a Landsat 7 data product. For the simulation of anthropogenic CO 2 g max LAI, the modeling of heat fluxes is noticeably improved, showing higher correlation with observations, lower bias, and more realistic seasonal dynamics of Q E Q H g max LAI adjustment. Compared to heat fluxes, the F C g max LAI. This can be explained by the low relative contribution of vegetation to the net F C F C F C kg C m - 2 yr - 1, compared to 7.5 kg C m - 2 yr - 1 observed by EC. Traffic is the dominant CO 2 CO 2 CO 2 CO 2 LAI parameters and g max F C CO 2 CO 2 emissions.

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: Simulating heat and CO₂ fluxes in Beijing using SUEWS V2020b: sensitivity to vegetation phenology and maximum conductance ; volume:16 ; number:15 ; year:2023 ; pages:4551-4579 ; extent:29
Geoscientific model development ; 16, Heft 15 (2023), 4551-4579 (gesamt 29)

Classification: Soziale Probleme, Sozialdienste, Versicherungen

Creator: Zheng, Yingqi
Havu, Minttu
Liu, Huizhi
Cheng, Xueling
Wen, Yifan
Lee, Hei Shing
Ahongshangbam, Joyson
Järvi, Leena

DOI: 10.5194/gmd-16-4551-2023

URN: urn:nbn:de:101:1-2023081705015094931695

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:47 AM CEST

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Associated

Zheng, Yingqi
Havu, Minttu
Liu, Huizhi
Cheng, Xueling
Wen, Yifan
Lee, Hei Shing
Ahongshangbam, Joyson
Järvi, Leena

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