Modelling the GIC Response from the Solar Wind to the Ground

ROSES ID: NNH19ZDA001N      Selection Year: 2019      

Program Element: Focused Science Topic

Principal Investigator: Banafsheh Ferdousi

Affiliation(s): University of New Hampshire, Durham

Project Member(s):
Zou, Ying Co-I University Of Alabama, Huntsville
Raeder, Joachim Co-I/Institutional PI University of New Hampshire, Durham

Summary:

Objectives
Magnetic storms can cause critical hazardous for our technologies with imposing geomagnetic induced current (GIC) through our infrastructure like power grids, railways, and pipelines. In this project, we aim to address the following issues:

- What are the GIC variations under different geomagnetic conditions. For example, during quiet times, can BBFs (Bursty Bulk Flows ) generate substantial GICs; how much GIC can be generated during substorms, and how are they related to substorm strength; how do different types of storms (CME, CIR) generating GICs.
- We extent the studies to extreme storms, such as Carrington-class events or the STEREO-A event.
- We will examine if there are any specific ways in which GICs are pre-conditioned. For example, does a sequence of storms (such as during the Halloween storms) lead to more intense GICs?
- Do GICs generated by different drivers have different GIC distributions and extents. For example, is the GIC from a substorms more spatially confined than that generated by a SSC or a storm?

Methodology:

In this project, we use global MHD magnetosphere, inner magnetosphere, and ionosphere coupled model, OpenGGCM-RCM-CTIM. The model computes
many key electric currents in the magnetosphere and ionosphere (MI) system. In particular, magnetopause and tail currents in the magnetosphere, ring current, field aligned current (FAC) between magnetosphere and ionosphere, and ionosphere currents on 2D shell at 110 km. The latter are represented on a 0.5 (lat) by 3.0 (lon) degree mesh. From the currents, dB/dt on the ground can be calculated in different ways, like Biot-Savart (B-S) integration over equivalent currents or full B-S integration over all MI current systems. Practical time resolution can be as little as 1 second. The models are tested to various degrees separately. Using the models in unison will allow to test the entire chain of processes that lead to GIC. With proper ground data the validity of the approach can be tested. It is important to introduce statistical errors associated with the model. Data assimilation technique will be used to determine these errors in the model. We also use available data such as the ground magnetometers, DMSP, THEMIS/MMS for substorms, IMAGE and ASI cameras for aurora, and more importantly AMPERE which provides direct global and large scale structures of FAC.

Contributions to the FST effort
We will particularly address LWS topic numerical simulations using solar wind MI coupling models with the goal of investigating the role of solar wind in driving GICs as well as analysis of current and historic satellite and ground data sources during extreme GIC times with the goal of discovering any preconditions necessary for extreme GICs.

Publications:

Performance Year	Reference	Investigation Type	Actions
4	Zou, Y., Dowell, C., Ferdousi, B., Lyons, L. R., & Liu, ... Upendran, V., Tigas, P., Ferdousi, B., et al. (2022). Global... P Tigas, T Bloch, V Upendran, B Ferdoushi et al, , Global Ea...	Other Investigations Other Investigations Other Investigations

Presentations:

Performance Year	Reference	Actions
2	Blinstrubas, G., "Automated System for High Rate GNSS D... Lamarche, L., “Spectra of Plasma Irregularities around Pol... Lamarche, L., “ISR theory and practice” Guest lecture in... Westerlund, C., Camera and inversion models for auroral scie... Vaggu, P., “Modeling the Effects of Density Structures pro... Zettergren, M., “Stability and structuring of mid-latitude... Gang Li (CoI), et al.: Electron Acceleration at a Shock With... "The Importance of Turbulence and Reconnection in the F... Lynch, B. J., Heliospheric Modeling of Large-scale Interplan... Lynch, B. J., Recent Progress in Numerical Modeling of Erupt... Lynch, B. J., Heliospheric Modeling of Large-scale Interplan... Lynch, B. J., Recent Progress in Numerical Modeling of Erupt... Jull A.J.T., Panyushkina I., Molnár M., Tamas Varga T., Liv... Miyake F., Hakozaki M., Kimura K., Tokanai F., Nakamura, K.,... Panyushkina I., Malyutina T., Jull AJT., Molnar M., Cherkins... Jull, A. J. T., Panyushkina I., Molnar M., Varga T., Livina ... Zhang, S-R, TIDs Associated With the Tonga Eruption: Some Un... AGU 2021: Ground magnetic field perturbation forecasting bas... COSPAR 2021: Modeling and forecasting ground geomagnetic per... Kim, H., Noh, S., Kuzichev, I., Ozturk, D., Xu, Z., Weygand,... Smith, A., Ozturk, D. S., Delamere, P., Lu, G., Kim, H. (202... (INVITED)Maruyama, N., et al (Dec, 2021), “ What can the c... Aikio, A., N. Ellahouny, G. P. Geethakumari, L. Cai, H. Vanh... Breneman, A. W., Using multipoint observations to quantify t... Adhikari, L., Zank, G. P., Zhao, L.-L., Telloni, D., Solar W... Adhikari, L., Zank, G. P., Wang, B., Zhao, L.-L., Telloni, D... Adhikari, L., Zank, G. P., Zhao, L.-L., Wang, B., Tang, B., ... Chen, Y., Small-scale Magnetic Flux Ropes via In Situ Spacec... Chen, Y., PyGS: Analysis tools for small-scale magnetic flux... le Roux, A Tempered Fractional Focused and Parker Transport ... Zhao, L.-L., Effects of Finite Frequency on Turbulence Spect... Xiaocan Li, “Exploring Particle Acceleration and Transport... Xiaocan Li, “Turbulence Properties in 3D Magnetic Reconnec... Xiaocan Li, “Modeling Particle Acceleration and Transport ... Xiaocan Li et al., “Modeling Electron Acceleration and Tra... J. T. Dahlin et al., “Decoding Three-Dimensional Reconnect... Mason, G. M., I. Roth, N. V. Nitta, R. Bučík, D. Lario, G.... GEM 2023: Global Geomagnetic Perturbation Forecasting Using ... LMAG 2023: Using Deep Learning for a Multiscale 'Sun-to...
1	AGU 2020: Determining new representations of "Geoeffect...
2	AMS 2021: Forecasting Ground Magnetic Perturbation Using Dee...
2	MiniGEM (Invited Talk) (2021): Forecasting Ground Magnetic P...
2	URSI GASS (2021): Forecasting Ground Magnetic Perturbation U...
2	AGU2021: Establishing a benchmark for ground magnetic field ...
2	AGU 2021: Auroral Drivers of Intense dB⁄dt During Geomagne...

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