Time-stamp correction of magnetic observatory data acquired during unavailability of time-synchronization services

التفاصيل البيبلوغرافية
العنوان: Time-stamp correction of magnetic observatory data acquired during unavailability of time-synchronization services
المؤلفون: Xavier Lalanne, Vincent Lesur, Kader Telali, Chang Jiang Xin, Benoit Heumez, Pierdavide Coïsson
المساهمون: Institut de Physique du Globe de Paris (IPGP), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Université de La Réunion (UR)-Institut de Physique du Globe de Paris (IPG Paris)-Centre National de la Recherche Scientifique (CNRS), Lanzhou Institute of Seismology, China Earthquake Administration (CEA), Japan Meteorological Agency, Korea Meteorological Administrationfor supporting their operations and INTERMAGNETfor promoting high standards of magnetic observatory practice(www.intermagnet.org)., We thank IPGP, Chinese Earthquake Administration, Vietnam Academy of Science and Technology, Centre National de la Recherche Scientifique (CNRS)-Université de La Réunion (UR)-Université Paris Diderot - Paris 7 (UPD7)-IPG PARIS-Institut national des sciences de l'Univers (INSU - CNRS)
المصدر: Geoscientific Instrumentation, Methods and Data Systems, Vol 6, Pp 311-317 (2017)
Geoscientific Instrumentation, Methods and Data Systems Discussions
Geoscientific Instrumentation, Methods and Data Systems Discussions, 2017, 6 (2), pp.311-317. ⟨10.5194/gi-6-311-2017⟩
Geoscientific Instrumentation, Methods and Data Systems Discussions, European Geosciences Union 2017, 6 (2), pp.311-317. ⟨10.5194/gi-6-311-2017⟩
سنة النشر: 2018
مصطلحات موضوعية: Atmospheric Science, 010504 meteorology & atmospheric sciences, business.industry, Noise (signal processing), [SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph], Lag, Real-time computing, lcsh:QC801-809, Geology, 010502 geochemistry & geophysics, Oceanography, 01 natural sciences, lcsh:Geophysics. Cosmic physics, Data acquisition, Geography, Data logger, Data file, Global Positioning System, Timestamp, Unavailability, business, 0105 earth and related environmental sciences
الوصف: During magnetic observatory data acquisition, the data time stamp is kept synchronized with a precise source of time. This is usually done using a GPS-controlled pulse per second (PPS) signal. For some observatories located in remote areas or where internet restrictions are enforced, only the magnetometer data are transmitted, limiting the capabilities of monitoring the acquisition operations. The magnetic observatory in Lanzhou (LZH), China, experienced an unnoticed interruption of the GPS PPS starting 7 March 2013. The data logger clock drifted slowly in time: in 6 months a lag of 27 s was accumulated. After a reboot on 2 April 2014 the drift became faster, −2 s per day, before the GPS PPS could be restored on 8 July 2014. To estimate the time lags that LZH time series had accumulated, we compared it with data from other observatories located in East Asia. A synchronization algorithm was developed. Natural sources providing synchronous events could be used as markers to obtain the time lag between the observatories. The analysis of slices of 1 h of 1 s data at arbitrary UTC allowed estimating time lags with an uncertainty of ∼ 11 s, revealing the correct trends of LZH time drift. A precise estimation of the time lag was obtained by comparing data from co-located instruments controlled by an independent PPS. In this case, it was possible to take advantage of spikes and local noise that constituted precise time markers. It was therefore possible to determine a correction to apply to LZH time stamps to correct the data files and produce reliable 1 min averaged definitive magnetic data.
وصف الملف: application/pdf
اللغة: English
تدمد: 2193-0864
2193-0872
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b77a9c689f889022dfb02d7983659a6f
https://www.geosci-instrum-method-data-syst.net/6/311/2017/
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....b77a9c689f889022dfb02d7983659a6f
قاعدة البيانات: OpenAIRE