TY - JOUR
T1 - 3-D Regional Ionosphere Imaging and SED Reconstruction With a New TEC-Based Ionospheric Data Assimilation System (TIDAS)
AU - Aa, Ercha
AU - Zhang, Shun Rong
AU - Erickson, Philip J.
AU - Wang, Wenbin
AU - Coster, Anthea J.
AU - Rideout, William
N1 - Publisher Copyright:
© 2022 The Authors.
PY - 2022/4
Y1 - 2022/4
N2 - A new TEC-based ionospheric data assimilation system (TIDAS) over the continental US and adjacent area (20°–60°N, 60°–130°W, and 100–600 km) has been developed through assimilating heterogeneous ionospheric data, including dense ground-based Global Navigation Satellite System (GNSS) Total Electron Content (TEC) from 2,000+ receivers, Constellation Observing System for Meteorology, Ionosphere, and Climate radio occultation data, JASON satellite altimeter TEC, and Millstone Hill incoherent scatter radar measurements. A hybrid Ensemble-Variational scheme is utilized to reconstruct the regional 3-D electron density distribution: a more realistic and location-dependent background error covariance matrix is calculated from an ensemble of corrected NeQuick outputs, and a three-dimensional variational (3DVAR) method is adopted for measurement updates to obtain an optimal state estimation. The spatial-temporal resolution of the reanalyzed 3-D electron density product is as high as 1° × 1° in latitude and longitude, 20 km in altitude, and 5 min in universal time, which is sufficient to reproduce ionospheric fine structure and storm-time disturbances. The accuracy and reliability of data assimilation results are validated using ionosonde and other measurements. TIDAS reanalyzed electron density is able to successfully reconstruct the 3-D morphology and dynamic evolution of the storm-enhanced density (SED) plume observed during the St. Patrick's day geomagnetic storm on 17 March 2013 with high fidelity. Using TIDAS, we found that the 3-D SED plume manifests as a ridge-like high-density channel that predominantly occurred between 300 and 500 km during 19:00–21:00 UT for this event, with the F2 region peak height being raised by 40–60 km and peak density enhancement of 30%–50%.
AB - A new TEC-based ionospheric data assimilation system (TIDAS) over the continental US and adjacent area (20°–60°N, 60°–130°W, and 100–600 km) has been developed through assimilating heterogeneous ionospheric data, including dense ground-based Global Navigation Satellite System (GNSS) Total Electron Content (TEC) from 2,000+ receivers, Constellation Observing System for Meteorology, Ionosphere, and Climate radio occultation data, JASON satellite altimeter TEC, and Millstone Hill incoherent scatter radar measurements. A hybrid Ensemble-Variational scheme is utilized to reconstruct the regional 3-D electron density distribution: a more realistic and location-dependent background error covariance matrix is calculated from an ensemble of corrected NeQuick outputs, and a three-dimensional variational (3DVAR) method is adopted for measurement updates to obtain an optimal state estimation. The spatial-temporal resolution of the reanalyzed 3-D electron density product is as high as 1° × 1° in latitude and longitude, 20 km in altitude, and 5 min in universal time, which is sufficient to reproduce ionospheric fine structure and storm-time disturbances. The accuracy and reliability of data assimilation results are validated using ionosonde and other measurements. TIDAS reanalyzed electron density is able to successfully reconstruct the 3-D morphology and dynamic evolution of the storm-enhanced density (SED) plume observed during the St. Patrick's day geomagnetic storm on 17 March 2013 with high fidelity. Using TIDAS, we found that the 3-D SED plume manifests as a ridge-like high-density channel that predominantly occurred between 300 and 500 km during 19:00–21:00 UT for this event, with the F2 region peak height being raised by 40–60 km and peak density enhancement of 30%–50%.
KW - GNSS TEC
KW - NeQuick
KW - ionospheric data assimilation
KW - storm-enhanced density
UR - https://www.scopus.com/pages/publications/85128708757
U2 - 10.1029/2022SW003055
DO - 10.1029/2022SW003055
M3 - Article
AN - SCOPUS:85128708757
SN - 1542-7390
VL - 20
JO - Space Weather
JF - Space Weather
IS - 4
M1 - e2022SW003055
ER -