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DTSTAMP:20220812T074334Z
LOCATION:Sydney Room
DTSTART;TZID=Europe/Stockholm:20220627T114500
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UID:submissions.pasc-conference.org_PASC22_sess171_pap110@linklings.com
SUMMARY:Applications of Flexible Spatial and Temporal Discretization Techn
 iques to a Numerical Weather Prediction Model
DESCRIPTION:Paper\n\nApplications of Flexible Spatial and Temporal Discret
 ization Techniques to a Numerical Weather Prediction Model\n\nCheung, Tam,
  Leung, Ng, Sze\n\nNumerical weather prediction is carried out by solving 
 a set of governing partial differential equations (PDEs) based on fluid dy
 namics and thermodynamics principles, together with parameterizations of u
 nresolved important physical processes. The Model for Prediction Across Sc
 ales - Atmosphere (MPAS-A) uses Spherical Centroidal Voronoi Tessellations
  (SCVT) to discretize the atmosphere spatially and an horizontally explici
 t finite volume method to time-integrate the PDEs. The use of a variable-r
 esolution SCVT mesh, such as the 60km-to-3km mesh with circular region of 
 refinement, can achieve good results in numerical weather prediction. Howe
 ver, MPAS-A uses a globally uniform time-step that needs to satisfy the Co
 urant-Friedrichs-Lewy condition for the smallest mesh cells, and the compu
 tational cost would be impractically large if the finest resolution is pus
 hed further down like 1km. We modified the MPAS-A source code to support t
 he use of hierarchical time steps for regions with different grid spacing 
 ranges. This enables small regions of very fine resolution to be incorpora
 ted in a global mesh while saving computational cost for the rest of the g
 lobe. Moreover, we implemented a software tool for the generation of SCVT 
 meshes with arbitrarily-shaped, hierarchical refinement regions. Both feat
 ures enable using a global atmospheric model for regional or local high-re
 solution weather forecasting with affordable computational resources.\n\nD
 omain: Climate, Weather and Earth Sciences
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