An Adaptive Nonhydrostatic Atmospheric Dynamical Core Using a Multi-Moment Constrained Finite Volume Method

An adaptive 2D 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 point-wise values within each computational cell as the predicted variables to build...

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Published inAdvances in Atmospheric Sciences Vol. 39; no. 3; pp. 487 - 501
Main Authors Huang, Pei, Chen, Chungang, Li, Xingliang, Shen, Xueshun, Xiao, Feng
Format Journal Article
LanguageEnglish
Published Heidelberg Springer Science and Business Media LLC 01.03.2022
Science Press
Springer Nature B.V
State Key Laboratory for Strength and Vibration of Mechanical Structures,Xi'an Jiaotong University,Xi'an 710049,China%Center of Numerical Weather Prediction,China Meteorological Administration,Beijing 100081,China%Department of Mechanical Engineering,Tokyo Institute of Technology,Tokyo 226-8502,Japan
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ISSN0256-1530
1861-9533
DOI10.1007/s00376-021-1185-9

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Summary:An adaptive 2D 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 point-wise 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, terrain-following 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 coarse-fine 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.
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ISSN:0256-1530
1861-9533
DOI:10.1007/s00376-021-1185-9