A Python interface to the Dutch Atmospheric Large-Eddy Simulation

Gijs van den Oord*, Fredrik Jansson, Inti Pelupessy, Maria Chertova, Johanna H. Grönqvist, Pier Siebesma, Daan Crommelin

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

5 Citations (Scopus)
77 Downloads (Pure)

Abstract

We present a Python interface for the Dutch Atmospheric Large Eddy Simulation (DALES), an existing Fortran code for high-resolution, turbulence-resolving simulation of atmospheric physics. The interface is based on an infrastructure for remote and parallel function calls and makes it possible to use and control the DALES weather simulations from a Python context. The interface is designed within the OMUSE framework, and allows the user to set up and control the simulation, apply perturbations and forcings, collect and analyse data in real time without exposing the user to the details of setting up and running the parallel Fortran DALES code. Another significant possibility is coupling the DALES simulation to other models, for example larger scale numerical weather prediction (NWP) models that can supply realistic lateral boundary conditions. Finally, the Python interface to DALES can serve as an educational tool for exploring weather dynamics, which we demonstrate with an example Jupyter notebook.

Original languageEnglish
Article number100608
Pages (from-to)1-6
Number of pages6
JournalSoftwareX
Volume12
DOIs
Publication statusPublished - 2020

Keywords

  • Atmospheric sciences
  • Large-eddy simulation

Fingerprint

Dive into the research topics of 'A Python interface to the Dutch Atmospheric Large-Eddy Simulation'. Together they form a unique fingerprint.

Cite this