GPU-Accelerated Lagrangian Particle Dispersion Model Based on FLEXPART Framework: Dockerized Implementation and Research Validation Cases

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Authors: Qingyun Li, Tao He, Qiu Rui
Cited by: 0

Abstract

This project develops a fully GPU-accelerated Lagrangian particle dispersion model based on the FLEXPART atmospheric transport modeling framework, and constructs a high-performance, reproducible, and ready-to-use simulation environment through Docker containerization. It includes a set of standardized validation cases derived from published research, comprehensively verifying the model's ability to maintain physical accuracy while achieving significant improvements in computational performance.

Fields of Study & Subjects

Parallel Computing and Optimization Techniques Atmospheric chemistry and aerosols Wind and Air Flow Studies

Publication details

Journal / source
ScienceDB
Publication date
22 January 2026
Language
EN
Document type
Dataset