Impacts of Sub‐Grid Topographic Representations on Surface Energy Balance and Boundary Conditions in the E3SM Land Model: A Case Study in Sierra Nevada

Journal of Advances in Modeling Earth Systems

Dalei Hao¹  Gautam Bisht¹  Po‐Lun Ma¹  Meng Huang¹  L. Ruby Leung¹  Teklu Tesfa²  Yu Gu³  Wei‐Liang Lee⁴ 

[1] Atmospheric Sciences and Global Change Division Pacific Northwest National Laboratory Richland WA USA;Earth Systems Science Division Pacific Northwest National Laboratory Richland WA USA;Joint Institute for Regional Earth System Science and Engineering University of California Los Angeles Los Angeles CA USA;Research Center for Environmental Changes Academia Sinica Taipei City Taiwan;

关键词: sub‐grid heterogeneity;    sub‐grid topography;    surface energy balance;    surface boundary conditions;    E3SM;    ELM;   

DOI  :  10.1029/2021MS002862

来源: DOAJ

【 摘 要 】

Abstract Sub‐grid topographic heterogeneity has large impacts on surface energy balance and land‐atmosphere interactions. However, the impacts of representing sub‐grid topographic effects in land surface models (LSMs) on surface energy balance and boundary conditions remain unclear. This study analyzed and evaluated the impacts of sub‐grid topographic representations on surface energy balance, turbulent heat flux, and scalar (co‐)variances in the Energy Exascale Earth System Model (E3SM) land model (ELM). Three sub‐grid topographic representations in ELM were compared: (a) the default sub‐grid structure (D), (b) the recently developed sub‐grid topographic structure (T), and (c) high spatial resolution (1KM). Additionally, two different solar radiation schemes in ELM were compared: (a) the default plane‐parallel radiative transfer scheme (PP) and (b) the parameterization scheme (TOP) that accounts for sub‐grid topographic effects on solar radiation. A series of offline simulations with the three grid discretization structures (D, T, and 1KM) and two schemes of solar radiation (TOP and PP) were carried out using the Sierra Nevada, California. 1KM simulations with TOP well capture the spatial heterogeneity of surface fluxes compared to Moderate Resolution Imaging Spectroradiometer remote sensing data. There are significant differences between TOP and PP in the 1‐km simulated surface energy balance, but the differences in mean values and standard deviations become small when aggregated to the grid scale (i.e., 0.5°). The T configuration better mimics the 1KM simulations with TOP than the D configuration and better captures the sub‐grid topographic effects on surface energy balance and boundary conditions. These results underline the importance of representing sub‐grid topographic heterogeneities in LSMs and motivate future research to understand the sub‐grid topographic effects on land‐atmosphere interactions over mountainous areas.

【 授权许可】

Unknown