TY - JOUR
T1 - A Regional 3-D Data Assimilation Model for the Ionospheric Electron Density at Middle-to-High Latitudes in the Northern Hemisphere
AU - Zhao, Ling Xin
AU - Zhang, Qing He
AU - Yue, Xin An
AU - He, Jian Hui
AU - Wang, Yong
AU - Xing, Zan Yang
AU - Zhou, Xu
AU - Ma, Yu Zhang
AU - Jayachandran, P. T.
AU - Oksavik, Kjellmar
AU - Lyons, Larry
AU - Xu, Tong
AU - Sun, Shu Ji
N1 - Publisher Copyright:
© 2025 The Author(s).
PY - 2025/5
Y1 - 2025/5
N2 - In this paper, we developed an efficient regional three-dimensional data assimilation model focused on the middle-to-high latitude ionosphere in the Northern Hemisphere. The model employed the Empirical Canadian High Arctic Ionospheric Model (E-CHAIM) as the background, which was specifically optimized for high-latitude applications and has demonstrated exceptional performance in the northern high-latitude regions. Utilizing a three-dimensional variational (3DVAR) method and incorporating extensive slant total electron content (TEC) observations, the model achieves near-real-time computation of the three-dimensional electron density distribution. The spatial-temporal resolution of the reanalyzed three-dimensional electron density product is 2.5° in latitude, 5° in longitude, with altitude intervals of 20 km between 80 and 500 km, 100 km between 500 and 1,000 km, 500 km between 1,000 and 3,000 km, and a temporal resolution of 15 min. To assess the effectiveness and accuracy of the model, we performed extensive comparisons with observational data from various sources, including the GNSS vertical TEC, ionosonde foF2, electron density profile derived from ionosonde measurements and COSMIC radio occultation data. Independent verification confirmed that the data assimilation results align well with these observations. Leveraging on the data assimilation output, we reconstructed critical high-latitude ionospheric structures and phenomena during geomagnetic storms, such as the storm-enhanced density (SED), the tongue of ionization (TOI), boundary blobs, polar cap patches, and the electron density enhancement in the auroral particle precipitation region, and characterized their three-dimensional spatial distributions well.
AB - In this paper, we developed an efficient regional three-dimensional data assimilation model focused on the middle-to-high latitude ionosphere in the Northern Hemisphere. The model employed the Empirical Canadian High Arctic Ionospheric Model (E-CHAIM) as the background, which was specifically optimized for high-latitude applications and has demonstrated exceptional performance in the northern high-latitude regions. Utilizing a three-dimensional variational (3DVAR) method and incorporating extensive slant total electron content (TEC) observations, the model achieves near-real-time computation of the three-dimensional electron density distribution. The spatial-temporal resolution of the reanalyzed three-dimensional electron density product is 2.5° in latitude, 5° in longitude, with altitude intervals of 20 km between 80 and 500 km, 100 km between 500 and 1,000 km, 500 km between 1,000 and 3,000 km, and a temporal resolution of 15 min. To assess the effectiveness and accuracy of the model, we performed extensive comparisons with observational data from various sources, including the GNSS vertical TEC, ionosonde foF2, electron density profile derived from ionosonde measurements and COSMIC radio occultation data. Independent verification confirmed that the data assimilation results align well with these observations. Leveraging on the data assimilation output, we reconstructed critical high-latitude ionospheric structures and phenomena during geomagnetic storms, such as the storm-enhanced density (SED), the tongue of ionization (TOI), boundary blobs, polar cap patches, and the electron density enhancement in the auroral particle precipitation region, and characterized their three-dimensional spatial distributions well.
KW - data assimilation
KW - ionospheric electron density
KW - middle-to-high latitudes
KW - model
UR - https://www.scopus.com/pages/publications/105004029273
U2 - 10.1029/2025SW004340
DO - 10.1029/2025SW004340
M3 - 文章
AN - SCOPUS:105004029273
SN - 1542-7390
VL - 23
JO - Space Weather
JF - Space Weather
IS - 5
M1 - e2025SW004340
ER -