TY - JOUR
T1 - Adaptive Order WENO Reconstructions for the Semi-Lagrangian Finite Difference Scheme for Advection Problem
AU - Chen , Jiajie
AU - Cai , Xiaofeng
AU - Qiu , Jianxian
AU - Qiu , Jing-Mei
JO - Communications in Computational Physics
VL - 1
SP - 67
EP - 96
PY - 2021
DA - 2021/04
SN - 30
DO - http://doi.org/10.4208/cicp.OA-2020-0073
UR - https://global-sci.org/intro/article_detail/cicp/18874.html
KW - Semi-Lagrangian, weighted essentially non-oscillatory, WENO adaptive order reconstruction, finite difference, mass conservation, Vlasov-Poisson, incompressible Euler.
AB - <p style="text-align: justify;">We present a new conservative semi-Lagrangian finite difference weighted
essentially non-oscillatory scheme with adaptive order. This is an extension of the
conservative semi-Lagrangian (SL) finite difference WENO scheme in [Qiu and Shu,
JCP, 230 (4) (2011), pp. 863-889], in which linear weights in SL WENO framework
were shown not to exist for variable coefficient problems. Hence, the order of accuracy is not optimal from reconstruction stencils. In this paper, we incorporate a recent
WENO adaptive order (AO) technique [Balsara et al., JCP, 326 (2016), pp. 780-804]
to the SL WENO framework. The new scheme can achieve an optimal high order of
accuracy, while maintaining the properties of mass conservation and non-oscillatory
capture of solutions from the original SL WENO. The positivity-preserving limiter is
further applied to ensure the positivity of solutions. Finally, the scheme is applied to
high dimensional problems by a fourth-order dimensional splitting. We demonstrate
the effectiveness of the new scheme by extensive numerical tests on linear advection
equations, the Vlasov-Poisson system, the guiding center Vlasov model as well as the
incompressible Euler equations.</p>