the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Capacity Building Enables Unique Near-Fault Observations of the destructive 2025 Mw 7.7 Myanmar Earthquake
Abstract. We present an overview of station NPW, installed in Naypyitaw, Myanmar. The station is equipped with both strong-motion and broadband sensors and is situated 2.6 km from the Sagaing Fault, providing an exceptional near-fault recording of the Mw 7.7 earthquake that occurred on March 28, 2025. The installation and ongoing maintenance of NPW are the result of a collaborative effort between the Department of Meteorology and Hydrology in Naypyitaw and the GFZ Helmholtz Center for Geosciences (GFZ) prompted by the GFZ International Training Course on seismology and seismic hazard assessment (ITC) in 2016. In this study, we provide background information about the collaborative effort that led to the installation of the only local station that provides on-scale measurements of the 2025, Myanmar earthquake. Given the widespread interest for data recorded by station, we describe the instrumental settings in detail, and how to access data and metadata for station NPW, which is part of the GEOFON (GE) network. Given the relevance of the near-fault recordings at NPW not only for constraining the rupture process of the mainshock but also for engineering seismology applications, we analyze key features of the mainshock from an engineering seismology perspective. This includes an examination of ground motion amplitudes, frequency content, and response spectra, and near-fault effects such as fling effect and pulse-like motion. The high-quality near field data at NPW provide valuable information for seismic hazard assessment in the region and offer useful constraints for studies investigating the rupture characteristics of the mainshock, which preliminary findings suggest to have propagated at supershear speed.
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Status: open (until 27 Jun 2025)
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CC1: 'Comment on essd-2025-216', Susan Hough, 05 May 2025
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It was good to know that the DMH successfully recorded some strong-motion data for the devastating Mandalay earthquake. Processed data for engineering applications, including three stations from the MM network (YGN, NGU, and KTN) are available at https://www.strongmotioncenter.org/cgi-bin/CESMD/iqr_dist_DM2.pl?IQRID=us7000pn9s&SFlag=0&Flag=2
Susan Hough, US Geological Survey (hough@usgs.gov)
Citation: https://doi.org/10.5194/essd-2025-216-CC1 -
CC3: 'Reply on CC1', Dino Bindi, 06 May 2025
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Dear Susan Hough,
Thank you for adding the link to the CESMD service.
Unfortunately, permanent seismic monitoring in Myanmar remains limited. To the best of my knowledge, NPW is currently the only near-fault, on-scale recording available for both the M7.7 mainshock and the M6.7 early aftershock. Based on the preliminary USGS ShakeMap rupture model (https://earthquake.usgs.gov/earthquakes/eventpage/us7000pn9s/finite-fault, updated on 2025-04-02 at 14:19:57), the rupture distances for the MM network stations you mentioned are as follows: NGU, Rrup = 114.121 km; YGN, Rrup = 136.746 km; KTN, Rrup = 367.610 km, whereas the rupture distance for station CHTO of IU network is Rrup = 268.712 km.
Please note that CESMD disseminates processed data with the disclaimer: “USGS Automated Strong Motion Processing-Preliminary and Subject to Revision, Plotted: 04/04/25 15:03:35”. Therefore, when using CESMD data, it is important to specify the revision timestamp, and particular caution should be exercised when interpreting automatically processed displacement traces, especially for near-source recordings.
I would also like to take this opportunity to emphasize the two main objectives of the article. The first is to share the GE.NPW records of the 2025 Myanmar sequence, including instrumental settings and the characteristics of the recordings. Equally important, if not more so, is to recognize and credit the collaboration between DMH and GFZ, which enabled the installation and ongoing maintenance of the NPW station. Often, when using data from repositories, we tend to overlook the significance of such international partnerships in supporting capacity-building initiatives and the development of seismic monitoring networks in regions of high seismic hazard.
Best regards, Dino Bindi (dino.bindi@gfz.de)
Citation: https://doi.org/10.5194/essd-2025-216-CC3 -
CC4: 'Reply on CC3', Susan Hough, 06 May 2025
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" Often, when using data from repositories, we tend to overlook the significance of such international partnerships in supporting capacity-building initiatives and the development of seismic monitoring networks in regions of high seismic hazard."
Yes, no question. Thiam et al. (2017) describes the partnership that culminated with the upgrade of the national MM network. Once the network hub was established, additional stations were added, including NGU. I believe the network was up to 10-12 stations at one point. It was disheartening that geopolitical events in 2019 were so enormously disruptive. But the DMH continued to operate and maintain the MM network, and the NPW station, in the face of many challenges. The fact that the Myanmar earthquake was recorded by three MM stations (YGN, HKA, NGU) is a testimony to the enormous talent and dedication of the DMH.Susan Hough, US Geological Survey
Citation: https://doi.org/10.5194/essd-2025-216-CC4 -
CC5: 'Reply on CC3', Susan Hough, 06 May 2025
reply
" Often, when using data from repositories, we tend to overlook the significance of such international partnerships in supporting capacity-building initiatives and the development of seismic monitoring networks in regions of high seismic hazard."
Yes, no question. Thiam et al. (2017) describes the partnership that culminated with the upgrade of the national MM network. Once the network hub was established, additional stations were added, including NGU. I believe the network was up to 10-12 stations at one point. It was disheartening that geopolitical events in 2019 were so enormously disruptive. But the DMH continued to operate and maintain the MM network, and the NPW station, in the face of many challenges. The fact that the Myanmar earthquake was recorded by three MM stations (YGN, HKA, NGU) is a testimony to the enormous talent and dedication of the DMH.Susan Hough, US Geological Survey
Citation: https://doi.org/10.5194/essd-2025-216-CC5 -
CC6: 'Reply on CC5', Frederik Tilmann, 06 May 2025
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Susan, thank you for highlighting the MM network, which is another example of the great cooperation with DMH and the value of capacity building. I am not sure if you scanned the whole article, but we lost the GPS signal at NPW even before the Mandalay earthquake and the cross-correlation with MM.NGU was critical for determining the necessary time correction, so even for this paper there was a very direct benefit. Of course, also in the scientific analysis of the earthquake we appreciate very much the MM stations very much. There have also been a number of structural seismology works benefitting from the MM network.
Citation: https://doi.org/10.5194/essd-2025-216-CC6
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CC6: 'Reply on CC5', Frederik Tilmann, 06 May 2025
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CC4: 'Reply on CC3', Susan Hough, 06 May 2025
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CC3: 'Reply on CC1', Dino Bindi, 06 May 2025
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CC2: 'Comment on essd-2025-216', Tin Yi, 06 May 2025
reply
I agreed it and I have no comments for that.
Citation: https://doi.org/10.5194/essd-2025-216-CC2 -
CC7: 'Comment on essd-2025-216', Htay Than, 06 May 2025
reply
I have no comment.
Citation: https://doi.org/10.5194/essd-2025-216-CC7
Data sets
NPW station data availability GEOFON Data Centre https://doi.org/10.14470/TR560404
Example of NPW waveform access GEOFON Data Centre https://doi.org/10.14470/TR560404
Example of NPW power spectral density GEOFON Data Centre https://doi.org/10.14470/TR560404
Software and data products for "Capacity Building Enables Unique Near-Fault Observations of the destructive 2025 Mw 7.7 Myanmar Earthquake" D. Bindi et al. https://zenodo.org/records/15228691?preview=1&token=eyJhbGciOiJIUzUxMiJ9.eyJpZCI6ImFiMDYxYmU2LTlkNjMtNGU3Yi05Y2Y3LTE0MWMzMzdkNmZkOCIsImRhdGEiOnt9LCJyYW5kb20iOiIwM2EwNmMyYjU1ZmEwOGI4ZDQzZTAzYWI4Y2QxNjhkMCJ9.WO0RZWUObLCoOI5jCH1U6jkQ6LX_Ikt5APGUbwukcl25FJSGt3WAaf_Dzu8DFvLfCBr-ohKuPl_-etWawSxKFA
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