Publications : Virginia Tech SuperDARN

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Publications

Shi X, Schmidt M, Martin CJ, Billett DD, Bland E, Tholley FH, Frissell NA, Khanal K, Coyle S, Chakraborty S, Detwiller M, Kunduri B and McWilliams K (2022) pyDARN: A Python software for visualizing SuperDARN radar data. Front. Astron. Space Sci. https://doi.org/10.3389/fspas.2022.1022690

Chakraborty S, Boteler DH, Shi X, Murphy BS, Hartinger MD, Wang X, Lucas G and Baker JBH (2022) Modeling geomagnetic induction in submarine cables. Front. Phys. 10:1022475. doi: 10.3389/fphy.2022.1022475

Shi, X., Lin, D., Wang, W., Baker, J. B. H., Weygand, J. M., Hartinger, M. D., et al. (2022). Geospace Concussion: Global Reversal of Ionospheric Vertical Plasma Drift in Response to a Sudden Commencement. Geophysical Research Letters, 49, e2022GL100014. https://doi.org/10.1029/2022GL100014

Shi, X., Hartinger, M. D., Baker, J. B. H., Murphy, B. S., Bedrosian, P. A., Kelbert, A., & Rigler, E. J. (2022). Characteristics and sources of intense geoelectric fields in the United States: Comparative analysis of multiple geomagnetic storms. Space Weather, 20, e2021SW002967. https://doi.org/10.1029/2021SW002967

Fiori, R.A.D., Chakraborty, S., Nikitina, L., Data-based optimization of a simple
shortwave fadeout absorption model, Journal of Atmospheric and Solar-Terrestrial Physics (2022), doi:
https://doi.org/10.1016/j.jastp.2022.105843.

S. Chakraborty, J. B. H. Baker and J. M. Ruohoniemi, "Probabilistic Short-wave Fadeout Detection in SuperDARN Time Series Observations," 2021 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE), 2021, pp. 43-48, doi: 10.1109/WiSEE50203.2021.9613835.

Kunduri, B. S. R., Baker, J. B. H., Ruohoniemi, J. M., Coster, A. J., Vines, S. K., Anderson, B. J., Shepherd, S. G., Chartier, A. T. (2021). An examination of magnetosphere-ionosphere influences during a SAPS event. Geophysical Research Letters, 48, e2021GL095751. https://doi.org/10.1029/2021GL095751

Chakraborty, S., Baker, J. B. H., Fiori, R. A. D., Ruohoniemi, J. M., & Zawdie, K. A. (2021). A Modeling Framework for Estimating Ionospheric HF Absorption Produced by Solar Flares. Radio Science, 56, e2021RS007285. https://doi.org/10.1029/2021RS007285

Chakraborty, S., Qian, L., Ruohoniemi, J. M., Baker, J. B. H., Mclnerney, J. M., & Nishitani, N. (2021). The Role of Flare-Driven Ionospheric Electron Density Changes on the Doppler Flash Observed by SuperDARN HF Radars. Journal of Geophysical Research: Space Physics, 126, e2021JA029300. https://doi.org/10.1029/2021JA029300

Zhai, C., Shi, X., Wang, W., Hartinger, M. D., Yao, Y., Peng, W., et al. (2021). Characterization of High-m ULF Wave Signatures in GPS TEC Data. Geophysical Research Letters, 48, e2021GL094282. https://doi.org/10.1029/2021GL094282

Zou, Y., Walsh, B. M., Shi, X., Lyons, L., Liu, J., Angelopoulos, V., et al. (2021). Geospace plume and its impact on dayside magnetopause reconnection rate. Journal of Geophysical Research: Space Physics, 126, e2021JA029117. https://doi.org/10.1029/2021JA029117

Chakraborty, S., Ruohoniemi, J. M., Baker, J. B. H., Fiori, R. A. D., Bailey, S. M., & Zawdie, K. A. (2021). Ionospheric Sluggishness: A Characteristic Time‐Lag of the Ionospheric Response to Solar Flares. Journal of Geophysical Research: Space Physics, 126, e2020JA028813. https://doi.org/10.1029/2020JA028813

Wang, B., Liu, T., Nishimura, Y., Zhang, H., Hartinger, M., Shi, X., et al. (2020). Global propagation of magnetospheric Pc5 ULF waves driven by foreshock transients. Journal of Geophysical Research: Space Physics, 125, e2020JA028411. https://doi.org/10.1029/2020JA028411

Shi, X., Hartinger, M. D., Baker, J. B. H., Ruohoniemi, J. M., Lin, D., Xu, Z., et al. (2020). Multi‐point Conjugate Observations of Dayside ULF Waves during an Extended Period of Radial IMF. Journal of Geophysical Research: Space Physics, 125, e2020JA028364. https://doi.org/10.1029/2020JA028364

S. Chakraborty et al., Sluggishness of the Ionosphere: Characteristic time-lag in Response to Solar Flares, 2020 XXXIIIrd General Assembly and Scientific Symposium of the International Union of Radio Science, Rome, Italy, 2020, pp. 1-4, doi: 10.23919/URSIGASS49373.2020.9232206.

Hartinger, M. D., Shi, X., Lucas, G. M., Murphy, B. S., Kelbert, A., Baker, J. B. H., et al. (2020). Simultaneous observations of geoelectric and geomagnetic fields produced by magnetospheric ULF waves. Geophysical Research Letters, 47, e2020GL089441. https://doi.org/10.1029/2020GL089441

Kunduri, B. S. R., Maimaiti, M., Baker, J. B. H., Ruohoniemi, J. M., Anderson, B. J., & Vines, S. K. (2020). A deep learning based approach for modeling the dynamics of AMPERE Birkeland currents. Journal of Geophysical Research: Space Physics, 125, e2020JA027908. https://doi.org/10.1029/2020JA027908

Mahmoudian, A., T.K. Yeoman, A. Senior, M. J Kosch, W.A. Scales, X. Shi, M. Ruohoniemi, M.T. Rietveld, Multi-frequency SuperDARN radar observations of the modulated ionosphere by high-power radio-waves at EISCAT, Adv. Space Res., 65 (2020), pp. 2791-2799. https://doi.org/10.1016/j.asr.2020.03.020

Chakraborty, S. & Morley, S. 2020. Probabilistic prediction of geomagnetic storms and the Kp index. J. Space Weather Space Clim. 10, 36. https://doi.org/10.1051/swsc/2020037

Zhang, J. J., Wang, W., Wang, C., Lan, A. L., Yan, J. Y., Xiang, D. et al. (2020). First observation of ionospheric convection from the Jiamusi HF radar during a strong geomagnetic storm. Earth and Space Science, 7, e2019EA000911. https://doi.org/10.1029/2019EA000911

Maimaiti, M., Kunduri, B., Ruohoniemi, J. M., Baker, J. B. H., and House, L. L.. ( 2019), A deep learning based approach to forecast the onset of magnetic substorms. Space Weather, 17. https://doi.org/10.1029/2019SW002251

Chakraborty, S., Baker, J. B. H., Ruohoniemi, J. M., Kunduri, B. S. R., Nishitani, N., & Shepherd, S. G. (2019). A study of SuperDARN response to co‐occurring space weather phenomena. Space Weather, 17, 1351– 1363. https://doi.org/10.1029/2019SW002179

Lin, D., Wang, W., Scales, W. A., Pham, K., Liu, J., Zhang, B., et al. ( 2019). SAPS in the 17 March 2013 storm event: Initial results from the coupled magnetosphere‐ionosphere‐thermosphere model. Journal of Geophysical Research: Space Physics, 124. https://doi.org/10.1029/2019JA026698

A. Mahmoudian, A. Senior, M. Kosch, W.A. Scales, M.T. Rietveld, B. Isham, X. Shi, M. Ruohoniemi, Investigation of incoherent scatter radar spectra features with stimulated electromagnetic emissions at EISCAT, Advances in Space Research, Volume 64, Issue 1, 2019, Pages 159-170, ISSN 0273-1177, https://doi.org/10.1016/j.asr.2019.03.028

Shi, X. (2019). Occurrence Statistics and Driving Mechanisms of Ionospheric Ultra-Low Frequency Waves Observed by SuperDARN Radars. (Doctoral dissertation). (https://vtechworks.lib.vt.edu/handle/10919/100904). Virginia Polytechnic Institute and State University.

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Co-Authored Publications

Shi X, Schmidt M, Martin CJ, Billett DD, Bland E, Tholley FH, Frissell NA, Khanal K, Coyle S, Chakraborty S, Detwiller M, Kunduri B and McWilliams K (2022) pyDARN: A Python software for visualizing SuperDARN radar data. Front. Astron. Space Sci. https://doi.org/10.3389/fspas.2022.1022690

Chakraborty S, Boteler DH, Shi X, Murphy BS, Hartinger MD, Wang X, Lucas G and Baker JBH (2022) Modeling geomagnetic induction in submarine cables. Front. Phys. 10:1022475. doi: 10.3389/fphy.2022.1022475

Shi, X., Lin, D., Wang, W., Baker, J. B. H., Weygand, J. M., Hartinger, M. D., et al. (2022). Geospace Concussion: Global Reversal of Ionospheric Vertical Plasma Drift in Response to a Sudden Commencement. Geophysical Research Letters, 49, e2022GL100014. https://doi.org/10.1029/2022GL100014

Shi, X., Hartinger, M. D., Baker, J. B. H., Murphy, B. S., Bedrosian, P. A., Kelbert, A., & Rigler, E. J. (2022). Characteristics and sources of intense geoelectric fields in the United States: Comparative analysis of multiple geomagnetic storms. Space Weather, 20, e2021SW002967. https://doi.org/10.1029/2021SW002967

Fiori, R.A.D., Chakraborty, S., Nikitina, L., Data-based optimization of a simple
shortwave fadeout absorption model, Journal of Atmospheric and Solar-Terrestrial Physics (2022), doi:
https://doi.org/10.1016/j.jastp.2022.105843.

S. Chakraborty, J. B. H. Baker and J. M. Ruohoniemi, "Probabilistic Short-wave Fadeout Detection in SuperDARN Time Series Observations," 2021 IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE), 2021, pp. 43-48, doi: 10.1109/WiSEE50203.2021.9613835.

Kunduri, B. S. R., Baker, J. B. H., Ruohoniemi, J. M., Coster, A. J., Vines, S. K., Anderson, B. J., Shepherd, S. G., Chartier, A. T. (2021). An examination of magnetosphere-ionosphere influences during a SAPS event. Geophysical Research Letters, 48, e2021GL095751. https://doi.org/10.1029/2021GL095751

Chakraborty, S., Baker, J. B. H., Fiori, R. A. D., Ruohoniemi, J. M., & Zawdie, K. A. (2021). A Modeling Framework for Estimating Ionospheric HF Absorption Produced by Solar Flares. Radio Science, 56, e2021RS007285. https://doi.org/10.1029/2021RS007285

Chakraborty, S., Qian, L., Ruohoniemi, J. M., Baker, J. B. H., Mclnerney, J. M., & Nishitani, N. (2021). The Role of Flare-Driven Ionospheric Electron Density Changes on the Doppler Flash Observed by SuperDARN HF Radars. Journal of Geophysical Research: Space Physics, 126, e2021JA029300. https://doi.org/10.1029/2021JA029300

Zhai, C., Shi, X., Wang, W., Hartinger, M. D., Yao, Y., Peng, W., et al. (2021). Characterization of High-m ULF Wave Signatures in GPS TEC Data. Geophysical Research Letters, 48, e2021GL094282. https://doi.org/10.1029/2021GL094282

Zou, Y., Walsh, B. M., Shi, X., Lyons, L., Liu, J., Angelopoulos, V., et al. (2021). Geospace plume and its impact on dayside magnetopause reconnection rate. Journal of Geophysical Research: Space Physics, 126, e2021JA029117. https://doi.org/10.1029/2021JA029117

Chakraborty, S., Ruohoniemi, J. M., Baker, J. B. H., Fiori, R. A. D., Bailey, S. M., & Zawdie, K. A. (2021). Ionospheric Sluggishness: A Characteristic Time‐Lag of the Ionospheric Response to Solar Flares. Journal of Geophysical Research: Space Physics, 126, e2020JA028813. https://doi.org/10.1029/2020JA028813

Wang, B., Liu, T., Nishimura, Y., Zhang, H., Hartinger, M., Shi, X., et al. (2020). Global propagation of magnetospheric Pc5 ULF waves driven by foreshock transients. Journal of Geophysical Research: Space Physics, 125, e2020JA028411. https://doi.org/10.1029/2020JA028411

Shi, X., Hartinger, M. D., Baker, J. B. H., Ruohoniemi, J. M., Lin, D., Xu, Z., et al. (2020). Multi‐point Conjugate Observations of Dayside ULF Waves during an Extended Period of Radial IMF. Journal of Geophysical Research: Space Physics, 125, e2020JA028364. https://doi.org/10.1029/2020JA028364

S. Chakraborty et al., Sluggishness of the Ionosphere: Characteristic time-lag in Response to Solar Flares, 2020 XXXIIIrd General Assembly and Scientific Symposium of the International Union of Radio Science, Rome, Italy, 2020, pp. 1-4, doi: 10.23919/URSIGASS49373.2020.9232206.

Hartinger, M. D., Shi, X., Lucas, G. M., Murphy, B. S., Kelbert, A., Baker, J. B. H., et al. (2020). Simultaneous observations of geoelectric and geomagnetic fields produced by magnetospheric ULF waves. Geophysical Research Letters, 47, e2020GL089441. https://doi.org/10.1029/2020GL089441

Kunduri, B. S. R., Maimaiti, M., Baker, J. B. H., Ruohoniemi, J. M., Anderson, B. J., & Vines, S. K. (2020). A deep learning based approach for modeling the dynamics of AMPERE Birkeland currents. Journal of Geophysical Research: Space Physics, 125, e2020JA027908. https://doi.org/10.1029/2020JA027908

Mahmoudian, A., T.K. Yeoman, A. Senior, M. J Kosch, W.A. Scales, X. Shi, M. Ruohoniemi, M.T. Rietveld, Multi-frequency SuperDARN radar observations of the modulated ionosphere by high-power radio-waves at EISCAT, Adv. Space Res., 65 (2020), pp. 2791-2799. https://doi.org/10.1016/j.asr.2020.03.020

Chakraborty, S. & Morley, S. 2020. Probabilistic prediction of geomagnetic storms and the Kp index. J. Space Weather Space Clim. 10, 36. https://doi.org/10.1051/swsc/2020037

Zhang, J. J., Wang, W., Wang, C., Lan, A. L., Yan, J. Y., Xiang, D. et al. (2020). First observation of ionospheric convection from the Jiamusi HF radar during a strong geomagnetic storm. Earth and Space Science, 7, e2019EA000911. https://doi.org/10.1029/2019EA000911

Maimaiti, M., Kunduri, B., Ruohoniemi, J. M., Baker, J. B. H., and House, L. L.. ( 2019), A deep learning based approach to forecast the onset of magnetic substorms. Space Weather, 17. https://doi.org/10.1029/2019SW002251

Chakraborty, S., Baker, J. B. H., Ruohoniemi, J. M., Kunduri, B. S. R., Nishitani, N., & Shepherd, S. G. (2019). A study of SuperDARN response to co‐occurring space weather phenomena. Space Weather, 17, 1351– 1363. https://doi.org/10.1029/2019SW002179

Lin, D., Wang, W., Scales, W. A., Pham, K., Liu, J., Zhang, B., et al. ( 2019). SAPS in the 17 March 2013 storm event: Initial results from the coupled magnetosphere‐ionosphere‐thermosphere model. Journal of Geophysical Research: Space Physics, 124. https://doi.org/10.1029/2019JA026698

A. Mahmoudian, A. Senior, M. Kosch, W.A. Scales, M.T. Rietveld, B. Isham, X. Shi, M. Ruohoniemi, Investigation of incoherent scatter radar spectra features with stimulated electromagnetic emissions at EISCAT, Advances in Space Research, Volume 64, Issue 1, 2019, Pages 159-170, ISSN 0273-1177, https://doi.org/10.1016/j.asr.2019.03.028

Shi, X. (2019). Occurrence Statistics and Driving Mechanisms of Ionospheric Ultra-Low Frequency Waves Observed by SuperDARN Radars. (Doctoral dissertation). (https://vtechworks.lib.vt.edu/handle/10919/100904). Virginia Polytechnic Institute and State University.

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