CORHEL-CME
Version: 1Important Notice
The Joint Science Operations Center (JSOC) is currently experiencing a major outage, affecting access to all SDO data, including HMI magnetic maps. As a result, if users select HMI as the data source in the CORHEL-CME interface, the request will fail. We recommend selecting an alternative magnetic field map source in the meantime.
Introduction
CORHEL-CME, developed by Predictive Science Inc., is a novel MHD modeling framework specifically designed to be used by non-experts. It consists of a collection of tools and simulation codes that are seamlessly integrated and accessible through a web interface. The web interface empowers users to simulate multiple coronal mass ejections (CMEs) in a realistic coronal and solar wind environment.
The CORHEL-CME web interface simplifies the process of conducting full physics-based CME simulations by guiding users through the following three steps.
I. Flux ropes and their eruptive/non-eruptive behavior
Users begin by creating one or more flux ropes using simplified (zero-beta) MHD simulations and evaluating their eruptive or non-eruptive behavior. A key innovation of CORHEL-CME is its incorporation of the Regularized Biot Savart Laws (RBSL; Titov et al., 2018) model. The RBSL model allows users to create pre-eruptive flux rope configurations above elongated and curved polarity inversion lines. This feature enables realistic simulations of CME eruptions from complex active regions (Török et al., 2018).
II. Thermodynamic MHD solution of the corona and solar wind background
Users can choose from two heating models (soon to be three) to simulate the thermodynamic state of the corona and solar wind background, in which the eruptions from step 1 will be embedded later. As part of the CORHEL-CME framework, the MAS model incorporates a realistic energy equation that takes into account anisotropic thermal conduction, radiative losses, and coronal heating. This allows MAS to compute plasma density and temperature, enabling the simulation of EUV and X-ray emissions as observed from space.
III. Full physics-based CME simulations
In the final step, users can request full physics-based thermodynamic CME simulation runs. These simulations involve launching individually designed CME eruptions (step 1) into the corona and solar wind background (step 2).
At each step of the CME design and simulation, the CORHEL-CME user interface provides guidance to the user through a "Take a Tour" button. It assists with design choices by generating diagnostic plots and generates web-based visualization reports upon completion of each step.
To ensure quick turnaround in these research-focused CME simulations, all CORHEL-CME runs are performed on high-performance GPU servers on Amazon Web Services (AWS).
Caveats:
The current interface allows up to a maximum of two flux ropes in a single run.
Inputs
Model inputs are provided through a web interface. The steps are as follows:
- Select a date and time
- Select an observatory source for the magnetic map
- Select a region on the map
- Select a polarity inversion line for the flux rope
- Select the foot points of the flux rope and design your own flux rope by modifying a variety of parameters
- Select a heating model and create a background solution for the CME simulation
- Start the thermodynamic CME simulation run
Outputs
After completing each main step, a run report is generated. The user can download or open the report through the CCMC simulation results page. An HTML page guides users through the results, including movies of the CME eruption and evolution.
Model is time-dependent.
Change Log
CORHEL-CME Version 1.0 is a substantial upgrade over its predecessor, CORHEL-TDm, also available on CCMC's ROR system.
Domains
- Solar
- Heliosphere / Inner Heliosphere
Publications
- A method for embedding circular force-free flux ropes in potential magnetic fields
- MHD simulation of the Bastille day event
- Sun-to-Earth MHD Simulation of the 2000 July 14 "Bastille Day" Eruption
- CORHEL-CME: An Interactive Tool For Modeling Solar Eruptions
Code
Code Languages: Fortran, PHP, BASH, TCSH, Python, C/C++, Javascript
Relevant Links
- CORHEL-CME YouTube tutorial by Cooper Downs from Predictive Science Inc.
- Example Run based on YouTube Tutorial, Part 1: Zero-Beta Flux Rope Run
- Example Run based on YouTube Tutorial, Part 2: Background Run
- Example Run based on YouTube Tutorial, Part 3: Thermodynamic CME Simulation
- CORHEL-CME Simulation Results
- JHelioviewer
- Python scripts to read CORHEL-CME data files
- IDL scripts to read CORHEL-CME data files
Contacts
- Jon Linker, Predictive Science (Model Developer)
- Martin Reiss, NASA GSFC CCMC (CCMC Model Host)
Publication Policy
In addition to any model-specific policy, please refer to the General Publication Policy.