WSA-Enlil-at-SWPC
Version: 3WSA-Enlil is a large-scale, physics-based numerical model of the inner heliosphere used by NOAA's Space Weather Prediction Center (SWPC) to provide 1-4 day advance forecasts of solar wind structures and Earth-directed coronal mass ejections (CMEs) that can cause geomagnetic storms. The model combines two sub-models:
- Wang-Sheeley-Arge (WSA): a semi-empirical near-Sun model that uses photospheric magnetic field observations (primarily from the GONG network) to generate global solar wind solutions in the solar corona.
- Enlil: a 3-D magnetohydrodynamic (MHD) numerical model that simulates the propagation of solar wind and CMEs through the inner heliosphere.
Caveats:
- The accuracy of model outputs heavily depends on the quality of input magnetic maps and the characterization of CMEs.
- The WSA-Enlil model represents CMEs as cone-shaped structures, which may not fully capture the complex, asymmetric nature of real CMEs.
- The prediction horizon is limited by the spatial domain of the model and the inherent variability of the solar wind.
- CME parameters are approximations derived from coronagraph observations and may not reflect the full complexity of CME structures.
- Therefore, when interpreting model predictions, it is important to consider these input uncertainties and simplifications inherent in the modeling approach.
Inputs
Photospheric magnetic field synoptic maps from the GONG network, combined over one solar rotation, providing input for WSA. CME parameters derived from coronagraph imagery, including timing, location, direction, and speed, characterize CMEs injected into the modeled solar wind.
Outputs
Hourly and higher cadence predictions of solar wind plasma parameters (density, velocity, temperature) and magnetic field at multiple locations including Earth (L1) and spacecraft positions such as STEREO A. Outputs include 3-D solar wind structures, CME propagation, and time series of predicted solar wind conditions for forecast intervals typically around 3 to 5 days.
Model is time-dependent.
Change Log
SWPC WSA-Enlil Version 1.0
- Date: December 13, 2011
- Deployment: Initial implementation on NCEP’s Central Computing System
- Components:
- WSA v2.2 (driven by GONG mrbqs synoptic maps)
- Enlil v2.6
- Date: May 28, 2019
- Deployment: NCEP’s Weather and Climate Operational Supercomputing System (WCOSS)
- Model Updates:
- Enlil v2.6 → v2.9e
- Ambient retuning: amb=a3b2 → amb=a8b1
- Date: December 9, 2019
- Deployment: WCOSS
- Model Updates:
- Planetary ephemerides extended through end of 2030
- Date: April 4, 2023
- Deployment: WCOSS2
- Model Updates:
- WSA v2.2 → WSA v5.4
- Implemented zeropoint-corrected GONG mrzqs synoptic maps
- Implemented run-on-demand capability for CME runs, retiring bi-hourly executions
- Adopted single (00Z) daily ambient run
- Changed data acquisition point from Earth to L1, replacing evo.earth.nc with evo.l1.nc
Domains
- Solar
- Heliosphere / Inner Heliosphere
Space Weather Impacts
- Geomagnetically induced currents - GICs (electric power systems)
- Ionosphere variability (navigation, communications)
- Atmosphere variability (satellite/debris drag)
- Near-earth radiation and plasma environment (aerospace assets functionality)
- Solar energetic particles - SEPs (human exploration, aviation safety, aerospace assets functionality)
Phenomena
- Solar Magnetic Field
- Coronal Holes
- Coronal Mass Ejections
- Ambient Solar Wind
- Stream Interaction Regions
- Interplanetary Shocks
- Coronal Mass Ejections Propagation
- Coronal Mass Ejection Arrival
Publications
- Arge, C. N., and V. J. Pizzo (2000), Improvement in the prediction of solar wind conditions using near-real time solar magnetic field updates, J. Geophys. Res., 105(A5), 10465–10479, doi:10.1029/1999JA000262.
- Odstrcil, D., V. J. Pizzo, and C. N. Arge (2005), Propagation of the 12 May 1997 interplanetary coronal mass ejection in evolving solar wind structures, J. Geophys. Res., 110, A02106, doi:10.1029/2004JA010745.
- arsons, A., Biesecker, D., Odstrcil, D., Millward, G., Hill, S. and Pizzo, V. (2011), Wang-Sheeley-Arge–Enlil Cone Model Transitions to Operations. Space Weather, 9:. https://doi.org/10.1029/2011SW000663
- Millward, G., D. Biesecker, V. Pizzo, and C. A. de Koning (2013), An operational software tool for the analysis of coronagraph images: Determining CME parameters for input into the WSA-Enlil heliospheric model, Space Weather, 11, 57–68, doi:10.1002/swe.20024.
- Cash, M. D., D. A. Biesecker, V. Pizzo, C. A. de Koning, G. Millward, C. N. Arge, C. J. Henney, and D. Odstrcil (2015), Ensemble Modeling of the 23 July 2012 Coronal Mass Ejection, Space Weather, 13, 611–625, doi:10.1002/2015SW001232.
- Pizzo, V. J., C. de Koning, M. Cash, G. Millward, D. A. Biesecker, L. Puga, M. Codrescu, and D. Odstrcil (2015), Theoretical basis for operational ensemble forecasting of coronal mass ejections, Space Weather, 13, 676–697, doi:10.1002/2015SW001221
- Sheeley Jr., N. R.: Origin of the Wang–Sheeley–Arge solar wind model, Hist. Geo Space. Sci., 8, 21–28, https://doi.org/10.5194/hgss-8-21-2017, 2017.
Code
Code Languages: Fortran (core model), IDL and Python (tools and visualization)
Relevant Links
- WSA-Enlil Model Product Page at SWPC
- WSA-Enlil Real-time Forecast Data at SWPC
- WSA-Enlil Data Archive at NCEI
- Ensemble Modeling and Data Assimilation within the Enlil Solar Wind Model, AFOSR Final Technical Report, 2018
Contacts
- Eric Adamson, NOAA Space Weather Prediction Center (Model Contact)
Publication Policy
In addition to any model-specific policy, please refer to the General Publication Policy.