Kondrashov D., R. Denton, Y. Y. Shprits, H. J. Singer, (2014), Reconstruction of gaps in the past history of solar wind parameters, Geophysical Research Letters, 41, 2702-2707, doi:10.1002/2014GL059741

Abstract

The historical (1972–2013) gaps of the solar wind parameters are filled-in by smooth modes of covariability using the continuous geomagnetic indices with Singular Spectrum Analysis (SSA). A systematic study using experiments with synthetic gaps has been performed to determine optimal SSA parameters for reconstruction of gaps over full solar cycle and to assess the reconstruction skill. We assessed the accuracy of the SSA gap-filling for solar wind reconstruction in T96 and TS05 empirical magnetic field models by using GOES measurements at geostationary orbit, and compared it to the results based on parameters from existing Qin and Denton interpolation. The SSA gap-filling method does improve accuracy of empirical magnetic field models, especially when gaps are large and in particular for the TS05 magnetic field model.

Authors (sorted by name)

Shprits

Journal / Conference

Geophysical Research Letters

Acknowledgments

It is a pleasure to thank two anonymous reviewers for thoughtful and stimulating comments. This study was supported by the grant NSF AGS‐1102009 from the National Science Foundation. Work at Dartmouth College was supported by NSF grant AGS‐1105790 and NASA grant NNX10AQ60G. The OMNI data were obtained from the GSFC/SPDF OMNIWeb interface at http://omniweb.gsfc.nasa.gov. Results of this study and 1972–2013 reconstruction of solar wind and W parameters are available in the supporting information, and will be also made available at the research website of D. Kondrashov (http://www.atmos.ucla.edu/tcd/dkondras/SolarWind.html) and VIRBO in March 2014. The reconstructed solar wind parameters for 1984–1995 have been made available online at ViRBO: http://virbo.org/RBW#2010, ftp://virbo.org/users/kondrashov/SolarWind_WithDate_v2, and http://virbo.org/OMNI/OMNI2#Notes. The basic SSA gap‐filling algorithm is available in the SSA–MTM Toolkit http://www.atmos.ucla.edu/tcd/ssa/.

Grants

AGS‐1102009 AGS‐1105790 NNX10AQ60G

Bibtex

@article{doi:10.1002/2014GL059741,
author = {Kondrashov, D. and Denton, R. and Shprits, Y. Y. and Singer, H. J.},
title = {Reconstruction of gaps in the past history of solar wind parameters},
journal = {Geophysical Research Letters},
volume = {41},
number = {8},
pages = {2702-2707},
year={2014},
keywords = {solar wind, reconstruction, gaps, singular spectrum analysis},
doi = {10.1002/2014GL059741},
url = {https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1002/2014GL059741},
eprint = {https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1002/2014GL059741},
abstract = {The historical (1972–2013) gaps of the solar wind parameters are filled-in by smooth modes of covariability using the continuous geomagnetic indices with Singular Spectrum Analysis (SSA). A systematic study using experiments with synthetic gaps has been performed to determine optimal SSA parameters for reconstruction of gaps over full solar cycle and to assess the reconstruction skill. We assessed the accuracy of the SSA gap-filling for solar wind reconstruction in T96 and TS05 empirical magnetic field models by using GOES measurements at geostationary orbit, and compared it to the results based on parameters from existing Qin and Denton interpolation. The SSA gap-filling method does improve accuracy of empirical magnetic field models, especially when gaps are large and in particular for the TS05 magnetic field model.}
}