An Adaptive Nonhydrostatic Atmospheric Dynamical Core Using a Multi-Moment Constrained Finite Volume Method
An Adaptive Nonhydrostatic Atmospheric Dynamical Core Using a Multi-Moment Constrained Finite Volume Method作者机构:State Key Laboratory for Strength and Vibration of Mechanical StructuresXi’an Jiaotong UniversityXi’an 710049China Center of Numerical Weather PredictionChina Meteorological AdministrationBeijing 100081China Department of Mechanical EngineeringTokyo Institute of TechnologyTokyo 226-8502Japan
出 版 物:《Advances in Atmospheric Sciences》 (大气科学进展(英文版))
年 卷 期:2022年第39卷第3期
页 面:487-501页
核心收录:
学科分类:07[理学] 070601[理学-气象学] 0706[理学-大气科学]
基 金:supported by The National Key Research and Development Program of China(Grants Nos.2017YFA0603901 and 2017YFC1501901) The National Natural Science Foundation of China(Grant No.41522504)
主 题:adaptive mesh refinement multi-moment constrained finite-volume method nonhydrostatic model dynamical core high-order methods
摘 要:An adaptive 2 D nonhydrostatic dynamical core is proposed by using the multi-moment constrained finite-volume(MCV) scheme and the Berger-Oliger adaptive mesh refinement(AMR) algorithm. The MCV scheme takes several pointwise values within each computational cell as the predicted variables to build high-order schemes based on single-cell reconstruction. Two types of moments, such as the volume-integrated average(VIA) and point value(PV), are defined as constraint conditions to derive the updating formulations of the unknowns, and the constraint condition on VIA guarantees the rigorous conservation of the proposed model. In this study, the MCV scheme is implemented on a height-based, terrainfollowing grid with variable resolution to solve the nonhydrostatic governing equations of atmospheric dynamics. The AMR grid of Berger-Oliger consists of several groups of blocks with different resolutions, where the MCV model developed on a fixed structured mesh can be used directly. Numerical formulations are designed to implement the coarsefine interpolation and the flux correction for properly exchanging the solution information among different blocks. Widely used benchmark tests are carried out to evaluate the proposed model. The numerical experiments on uniform and AMR grids indicate that the adaptive model has promising potential for improving computational efficiency without losing accuracy.