Advances in Earth Science ›› 2024, Vol. 39 ›› Issue (9): 915-929. doi: 10.11867/j.issn.1001-8166.2024.072
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Hanying XU 1 , 3( ), Cunbo HAN 1 , 6 , 8, Yaoming MA 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8( ), Yunshuai ZHANG 1
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Hanying XU, Cunbo HAN, Yaoming MA, Yunshuai ZHANG. Review on Numerical Simulation of Atmospheric Boundary Layer over the Tibetan Plateau[J]. Advances in Earth Science, 2024, 39(9): 915-929.
The atmospheric boundary layer processes and structural characteristics of the Tibetan Plateau (TP) are significantly influenced by thermal and dynamic effects in the region. The existing observational data are insufficient to comprehensively reveal the complex formation, development, and evolutionary mechanisms of the TP boundary layer of the TP. Therefore, the use of numerical simulations to investigate these processes and explain their underlying mechanisms has become an effective approach. First, this study reviews the numerical models commonly used for atmospheric boundary layer simulations and the widely adopted parameterization schemes within these models. Second, we present recent research and findings in the field of numerical simulations of the atmospheric boundary layer of the TP, including studies on the spatiotemporal distribution characteristics of the boundary layer height, simulations of the boundary layer structure and its influencing mechanisms in typical regions (such as areas with significant topography and lakes), comparative assessments of different boundary layer parameterization schemes in the region, and the impact of model resolution on the simulation outcomes. Finally, the paper concludes by addressing the persistent challenges in simulating PBL processes over the TP, particularly the biases in modeling PBL height and near-surface meteorological variables. It outlines potential strategies for advancing simulation accuracy, including improvements in boundary layer parameterization schemes, careful selection of model resolution, optimization of driving and verification data, and refinement of other physical parameterizations. These insights are intended to provide new directions for future research, with the aim of enhancing the simulation of PBL structure and processes over the TP.