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Title: Land surface temperature, tropospheric and ionospheric anomalies analysis and implementation of a co-seismic PWV digital twin for the February 6, 2023 Turkey earthquake
Authors: Guo, A
Jiang, N
Xu, Y
Liu, T 
Xu, T
Bastos, L
Li, Z
Jia, R
Issue Date: 2025
Source: Geomatics, natural hazards and risk, 2025, v. 16, no. 1, 2491470
Abstract: A dual powerful earthquake hit Turkey on 6 February 2023 with a magnitude of 7.8. A preliminary geophysical analysis of land surface temperature (LST), tropospheric and ionospheric parameters was carried out. Precipitable water vapor (PWV), derived from Global Navigation Satellite System (GNSS) data, increased significantly and peaked over the stations when the earthquake burst. Moreover, total electron content (TEC) surge occurred, with a travelling ionospheric disturbance (TID) spreading from the northeast to the southwest in the south. LST observations from two-temporal scales indicates that a precursory thermal anomaly occurred 3 weeks in advance, and a low-temperature condition during the earthquake. For the period 18–24 January, LST was more than 10 °C higher than that of the past 10 years in the same period. However, a significant low-LST was observed on the days of mainshock from 4–6 February, with the anomaly index at the epicenter being −1.66, −1.82, and −1.80 with descending range of −8.66 °C, −10.05 °C and −9.27 °C, respectively. In terms of algorithms, we introduced different features to construct a digital twin to predict the PWV for 2023 Turkey earthquake, yielding a root mean square error (RMSE) averaging 4.60 mm when compared to GNSS-PWV.
Keywords: GNSS
Land surface temperature
Precipitable water vapor
TEC
Turkey earthquake
Publisher: Taylor & Francis
Journal: Geomatics, natural hazards and risk 
ISSN: 1947-5705
EISSN: 1947-5713
DOI: 10.1080/19475705.2025.2491470
Rights: © 2025 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution-Non Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
The following publication Guo, A., Jiang, N., Xu, Y., Liu, T., Xu, T., Bastos, L., … Jia, R. (2025). Land surface temperature, tropospheric and ionospheric anomalies analysis and implementation of a co-seismic PWV digital twin for the February 6, 2023 Turkey earthquake. Geomatics, Natural Hazards and Risk, 16(1) is available at https://doi.org/10.1080/19475705.2025.2491470.
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