Authors: Ronald M. Caplan (Predictive Science Inc.), Miko M. Stulajter (Predictive Science Inc.), Jon A. Linker (Predictive Science Inc.), Cooper Downs(Predictive Science Inc.) , James Turtle (Predictive Science Inc.)

Maps of the global solar photospheric magnetic field play an important role in solar and heliospheric physics. Routine measurements of the surface field occur only along the Sun-Earth line. Surface Flux Transport models attempt to mitigate this limited view by modeling the surface evolution of the field.

Recently, we have led the development of the Open-source Flux Transport (OFT) model. OFT is a suite of tools for acquiring magnetograms, generating convective flow maps, and creating full-sun magnetic maps using a high-performance data-assimilative surface flux-transport model. The elements of OFT are highly flexible and can be tailored for a variety of scientific applications.

Here we present the recently released Open-source Flux Transport for Space Weather Applications (OFTSWA) tool. Built to simplify OFT for common use cases, OFTSWA is a flexible Python tool that links the various software components of OFT. It allows users to easily create ensembles of full-Sun magnetic field maps from start to finish, ready for ingestion into space weather models. A YAML-formatted text file is used to specify the requested details of the full OFT run including post-processing and re-binning of the maps. A default YAML file is included and used to allow user YAML files to be trimmed down for specific tasks.

OFTSWA (oftswa.py) is now included in the OFT github repository (github.com/predsci/OFT) with new features and improvements under continued development.