Simulating heat and CO<sub>2</sub> fluxes in Beijing using SUEWS V2020b: sensitivity to vegetation phenology and maximum conductance
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.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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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)
- Klassifikation
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Soziale Probleme, Sozialdienste, Versicherungen
- Urheber
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Zheng, Yingqi
Havu, Minttu
Liu, Huizhi
Cheng, Xueling
Wen, Yifan
Lee, Hei Shing
Ahongshangbam, Joyson
Järvi, Leena
- DOI
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10.5194/gmd-16-4551-2023
- URN
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urn:nbn:de:101:1-2023081705015094931695
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 10:47 MESZ
Datenpartner
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Beteiligte
- Zheng, Yingqi
- Havu, Minttu
- Liu, Huizhi
- Cheng, Xueling
- Wen, Yifan
- Lee, Hei Shing
- Ahongshangbam, Joyson
- Järvi, Leena