Idioma:

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

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

Geoscientific model development, 2023-08, Vol.16 (15), p.4551 [Periódico revisado por pares]

Texto completo disponível

Citações Citado por

Título:
Simulating heat and CO.sub.2 fluxes in Beijing using SUEWS V2020b: sensitivity to vegetation phenology and maximum conductance
Autor: Zheng, Yingqi ; Havu, Minttu ; Liu, Huizhi ; Cheng, Xueling ; Wen, Yifan ; Lee, Hei Shing ; Ahongshangbam, Joyson ; Järvi, Leena
Assuntos: Analysis ; Photosynthesis
É parte de: Geoscientific model development, 2023-08, Vol.16 (15), p.4551
Descrição: The Surface Urban Energy and Water Balance Scheme (SUEWS) has recently been introduced to include a bottom-up approach to modeling carbon dioxide (CO.sub.2) emissions and uptake in urban areas. In this study, SUEWS is evaluated against the measured eddy covariance (EC) turbulent fluxes of sensible heat (Q.sub.H ), latent heat (Q.sub.E ), and CO.sub.2 (F.sub.C) in a densely built neighborhood in Beijing. The model sensitivity to maximum conductance (g.sub.max) and leaf area index (LAI) is examined. Site-specific g.sub.max is obtained from observations over local vegetation species, and LAI parameters are extracted by optimization with remotely sensed LAI obtained from a Landsat 7 data product. For the simulation of anthropogenic CO.sub.2 components, local traffic and population data are collected. In the model evaluation, the mismatch between the measurement source area and simulation domain is also considered.
Editor: Copernicus GmbH
Idioma: Inglês

Voltar para lista de resultados