Articles | Volume 10, issue 2
https://doi.org/10.5194/gi-10-169-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gi-10-169-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Production of definitive data from Indonesian geomagnetic observatories
Relly Margiono
CORRESPONDING AUTHOR
Sekolah Tinggi Meteorologi, Klimatologi, dan Geofisika, Tangerang Selatan, Indonesia
School of GeoSciences, University of Edinburgh, Edinburgh, UK
Meteorological, Climatological and Geophysical Agency, Jakarta, Indonesia
Christopher W. Turbitt
British Geological Survey, Edinburgh, UK
Ciarán D. Beggan
British Geological Survey, Edinburgh, UK
Kathryn A. Whaler
School of GeoSciences, University of Edinburgh, Edinburgh, UK
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Samuel Andrew Fielding, Phillip W. Livermore, Ciarán D. Beggan, Kathryn A. Whaler, and Gemma S. Richardson
EGUsphere, https://doi.org/10.5194/egusphere-2025-2857, https://doi.org/10.5194/egusphere-2025-2857, 2025
This preprint is open for discussion and under review for Annales Geophysicae (ANGEO).
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Space weather can cause electric currents to flow through the ground at the Earth’s surface. These currents correspond closely to the rate of change of the magnetic field, following Faraday’s law of induction. The scientific community regularly uses two different methods to calculate the rate of change of the magnetic field for this purpose. We show that there is a large difference between the two methods, and highlight certain situations where this difference is potentially significant.
Jo Ann Joselyn, Alik Ismail-Zadeh, Tom Beer, Harsh Gupta, Masaru Kono, Uri Shamir, Michael Sideris, and Kathryn Whaler
Hist. Geo Space. Sci., 10, 73–95, https://doi.org/10.5194/hgss-10-73-2019, https://doi.org/10.5194/hgss-10-73-2019, 2019
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Written for the centennial anniversary of the International Union of Geodesy and Geophysics (IUGG), this paper documents the activities of the Union at the beginning of the 21st century. IUGG added an eighth association on cryospheric sciences, introduced new categories of affiliate and honorary memberships, new grants, science education, and recognition programs, and formed new commissions on climatic and environmental change, data and information, planetary sciences, and history.
Ciarán D. Beggan and Steve R. Marple
Geosci. Commun., 1, 25–34, https://doi.org/10.5194/gc-1-25-2018, https://doi.org/10.5194/gc-1-25-2018, 2018
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As computing and geophysical sensor components have become increasingly affordable over the past decade, it is now possible to build a cost-effective system for monitoring the Earth's natural magnetic field variations, in particular for space weather events, e.g. aurorae. Sensors available to the general public are ~ 100 times less sensitive than scientific instruments but only 1/100th of the price. We demonstrate a system that allows schools to contribute to a genuine scientific sensor network.
Rachel L. Bailey, Thomas S. Halbedl, Ingrid Schattauer, Alexander Römer, Georg Achleitner, Ciaran D. Beggan, Viktor Wesztergom, Ramon Egli, and Roman Leonhardt
Ann. Geophys., 35, 751–761, https://doi.org/10.5194/angeo-35-751-2017, https://doi.org/10.5194/angeo-35-751-2017, 2017
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This paper describes the study of the effects of solar wind and solar storms on the national electrical power transmission grid in Austria. These storms result in currents in the ground that can cause damage to power grids, particularly those at high latitudes. Results show that very strong solar storms could result in problems in Austria as well, and this information is important to the grid operators to properly implement mitigation strategies in the future.
C. D. Beggan
Ann. Geophys., 32, 951–958, https://doi.org/10.5194/angeo-32-951-2014, https://doi.org/10.5194/angeo-32-951-2014, 2014
Related subject area
Data quality
Real-time plotting and evaluation of the data quality control from the CSIR- NGRI Magnetic observatories
Crack damage stress in fully saturated rocks: a new detection procedure
Airborne electromagnetic data levelling based on the structured variational method
Upgrade of LSA-SAF Meteosat Second Generation daily surface albedo (MDAL) retrieval algorithm incorporating aerosol correction and other improvements
Swarm Langmuir probes' data quality validation and future improvements
Evaluating methods for reconstructing large gaps in historic snow depth time series
Auroral classification ergonomics and the implications for machine learning
Artifacts from manganese reduction in rock samples prepared by focused ion beam (FIB) slicing for X-ray microspectroscopy
The influence of sample geometry on the permeability of a porous sandstone
The operator difference in absolute geomagnetic measurements
One second vector and scalar magnetic measurements at the low-latitude Choutuppal (CPL) magnetic observatory
Data quality control and tools in passive seismic experiments exemplified on the Czech broadband seismic pool MOBNET in the AlpArray collaborative project
Time-stamp correction of magnetic observatory data acquired during unavailability of time-synchronization services
Stability analysis of geomagnetic baseline data obtained at Cheongyang observatory in Korea
European UV DataBase (EUVDB) as a repository and quality analyser for solar spectral UV irradiance monitored in Sodankylä
Bed conduction impact on fiber optic distributed temperature sensing water temperature measurements
A framework for benchmarking of homogenisation algorithm performance on the global scale
New analysis software for Viking Lander meteorological data
Innovations and applications of the VERA quality control
Vengala Pavan Kumar, Nelapatla Phani Chandrasekhar, and Potharaju Sai Vijay Kumar
EGUsphere, https://doi.org/10.5194/egusphere-2025-1587, https://doi.org/10.5194/egusphere-2025-1587, 2025
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A Python-based software was developed for real-time visualization and quality control at India’s CPL and HYB geomagnetic observatories. The tool generates plots, conducts quality checks, and computes first differences at 1s and 1min intervals with under 300s latency, aiding anomaly detection and quasi-definitive data preparation. Designed for future integration with AI/ML, this system enhances geomagnetic data accuracy and accessibility, revolutionizing research, forecasting, and visualization.
Sandra Schumacher and Werner Gräsle
Geosci. Instrum. Method. Data Syst., 14, 13–27, https://doi.org/10.5194/gi-14-13-2025, https://doi.org/10.5194/gi-14-13-2025, 2025
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Under German law, crack damage stress must not be reached at any time during the operation or post-closure phase of a nuclear waste repository. This legal requirement can only be fulfilled if the parameter can be measured precisely. We have thus developed a new measurement technique, which overcomes the limitations of the conventional method. In combination, old and new methods offer an easy procedure to detect crack damage stress in fully saturated rocks in a fast and robust manner.
Qiong Zhang, Xin Chen, Zhonghang Ji, Fei Yan, Zhengkun Jin, and Yunqing Liu
Geosci. Instrum. Method. Data Syst., 13, 193–203, https://doi.org/10.5194/gi-13-193-2024, https://doi.org/10.5194/gi-13-193-2024, 2024
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In an airborne survey, dynamic flight conditions cause unequal data levels, which have a serious impact on airborne geophysical data analysis and interpretation. A new technique is proposed to level geophysical data, and we confirm the reliability of the method by applying it to magnetic data and apparent conductivity data. The method can automatically extract the levelling errors without the participation of staff members or tie line control.
Daniel Juncu, Xavier Ceamanos, Isabel F. Trigo, Sandra Gomes, and Sandra C. Freitas
Geosci. Instrum. Method. Data Syst., 11, 389–412, https://doi.org/10.5194/gi-11-389-2022, https://doi.org/10.5194/gi-11-389-2022, 2022
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MDAL is a near real-time, satellite-based surface albedo product based on the geostationary Meteosat Second Generation mission. We propose an update to the processing algorithm that generates MDAL and evaluate the results of these changes through comparison with the pre-update, currently operational MDAL product as well as reference data using different satellite-based albedo products and in situ measurements. We find that the update provides a valuable improvement.
Filomena Catapano, Stephan Buchert, Enkelejda Qamili, Thomas Nilsson, Jerome Bouffard, Christian Siemes, Igino Coco, Raffaella D'Amicis, Lars Tøffner-Clausen, Lorenzo Trenchi, Poul Erik Holmdahl Olsen, and Anja Stromme
Geosci. Instrum. Method. Data Syst., 11, 149–162, https://doi.org/10.5194/gi-11-149-2022, https://doi.org/10.5194/gi-11-149-2022, 2022
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The quality control and validation activities performed by the Swarm data quality team reveal the good-quality LPs. The analysis demonstrated that the current baseline plasma data products are improved with respect to previous baseline. The LPs have captured the ionospheric plasma variability over more than half of a solar cycle, revealing the data quality dependence on the solar activity. The quality of the LP data will further improve promotion of their application to a broad range of studies.
Johannes Aschauer and Christoph Marty
Geosci. Instrum. Method. Data Syst., 10, 297–312, https://doi.org/10.5194/gi-10-297-2021, https://doi.org/10.5194/gi-10-297-2021, 2021
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Methods for reconstruction of winter long data gaps in snow depth time series are compared. The methods use snow depth data from neighboring stations or calculate snow depth from temperature and precipitation data. All methods except one are able to reproduce the average snow depth and maximum snow depth in a winter reasonably well. For reconstructing the number of snow days with snow depth ≥ 1 cm, results suggest using a snow model instead of relying on data from neighboring stations.
Derek McKay and Andreas Kvammen
Geosci. Instrum. Method. Data Syst., 9, 267–273, https://doi.org/10.5194/gi-9-267-2020, https://doi.org/10.5194/gi-9-267-2020, 2020
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Researchers are making increasing use of machine learning to improve accuracy, efficiency and consistency. During such a study of the aurora, it was noted that biases or distortions had crept into the data because of the conditions (or ergonomics) of the human trainers. As using machine-learning techniques in auroral research is relatively new, it is critical that such biases are brought to the attention of the academic and citizen science communities.
Dorothea S. Macholdt, Jan-David Förster, Maren Müller, Bettina Weber, Michael Kappl, A. L. David Kilcoyne, Markus Weigand, Jan Leitner, Klaus Peter Jochum, Christopher Pöhlker, and Meinrat O. Andreae
Geosci. Instrum. Method. Data Syst., 8, 97–111, https://doi.org/10.5194/gi-8-97-2019, https://doi.org/10.5194/gi-8-97-2019, 2019
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Focused ion beam (FIB) slicing is a widely used technique to prepare ultrathin slices for the microanalysis of geological and environmental samples. During our investigations of the manganese oxidation states in rock varnish slices, we found an FIB-related reduction of manganese(IV) to manganese(II) at the samples’ surfaces. This study characterizes the observed reduction artifacts and emphasizes that caution is needed in the analysis of transition metal oxidation states upon FIB preparation.
Michael J. Heap
Geosci. Instrum. Method. Data Syst., 8, 55–61, https://doi.org/10.5194/gi-8-55-2019, https://doi.org/10.5194/gi-8-55-2019, 2019
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To better understand the influence of sample geometry on laboratory measurements of permeability, the permeabilities of sandstone samples with different lengths and diameters were measured. Despite the large range in length, aspect ratio, and volume, the permeabilities of the samples are near identical. This is due to a homogeneous porosity structure and the small grain/pore size with respect to the minimum tested diameter and length. More tests are now needed to help develop such guidelines.
Yufei He, Xudong Zhao, Jianjun Wang, Fuxi Yang, Xijing Li, Changjiang Xin, Wansheng Yan, and Wentong Tian
Geosci. Instrum. Method. Data Syst., 8, 21–27, https://doi.org/10.5194/gi-8-21-2019, https://doi.org/10.5194/gi-8-21-2019, 2019
Nelapatla Phani Chandrasekhar, Sai Vijay Kumar Potharaju, Kusumita Arora, Chandra Shakar Rao Kasuba, Leonid Rakhlin, Sergey Tymoshyn, Laszlo Merenyi, Anusha Chilukuri, Jayashree Bulusu, and Sergey Khomutov
Geosci. Instrum. Method. Data Syst., 6, 547–560, https://doi.org/10.5194/gi-6-547-2017, https://doi.org/10.5194/gi-6-547-2017, 2017
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This work presents the progressive steps which led to the successful setup of such measurements at the new magnetic observatory in Choutuppal (CPL) of CSIR-NGRI, Hyderabad, India. Iterative tuning of the setup led to the generation of good quality data from 2016 onward. The processes of commissioning this setup in low-latitude conditions, with the aim of producing 1 s definitive data, and the characteristics of the data from this new instrument are presented here.
Luděk Vecsey, Jaroslava Plomerová, Petr Jedlička, Helena Munzarová, Vladislav Babuška, and the AlpArray working group
Geosci. Instrum. Method. Data Syst., 6, 505–521, https://doi.org/10.5194/gi-6-505-2017, https://doi.org/10.5194/gi-6-505-2017, 2017
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This paper focuses on major issues related to data reliability and MOBNET network performance in the AlpArray seismic experiments. We present both new hardware and software tools that help to assure the high-quality standard of broadband seismic data. Special attention is paid to issues like a detection of sensor misorientation, timing problems, exchange of record components and/or their polarity reversal, sensor mass centring, or anomalous channel amplitudes due to imperfect gain.
Pierdavide Coïsson, Kader Telali, Benoit Heumez, Vincent Lesur, Xavier Lalanne, and Chang Jiang Xin
Geosci. Instrum. Method. Data Syst., 6, 311–317, https://doi.org/10.5194/gi-6-311-2017, https://doi.org/10.5194/gi-6-311-2017, 2017
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Data loggers of magnetic observatories use GPS receivers to provide accurate time stamping of recorded data. Typical sampling rate is 1 s. A failure of the GPS receiver can result in erroneous time stamps. The observatory of Lanzhou, China, accumulated a lag of 28 s over 1 year. Using magnetic data recorded at other locations in a radius of 3000 km it was possible to estimate the diurnal lag and correct the time tamps to produce reliable 1 min averages of magnetic data.
Shakirah M. Amran, Wan-Seop Kim, Heh Ree Cho, and Po Gyu Park
Geosci. Instrum. Method. Data Syst., 6, 231–238, https://doi.org/10.5194/gi-6-231-2017, https://doi.org/10.5194/gi-6-231-2017, 2017
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In this work, we analysed the Cheongyang geomagnetic baseline data from 2014 to 2016. We observed a step of more than 5 nT in the H and Z baseline in 2014 and 2015 due to artificial magnetic noise in the absolute hut. The baseline also shows a periodic modulation due to temperature variations in the fluxgate magnetometer hut. The quality of the baselines was improved by correcting the discontinuity in the H and Z baselines.
Anu Heikkilä, Jussi Kaurola, Kaisa Lakkala, Juha Matti Karhu, Esko Kyrö, Tapani Koskela, Ola Engelsen, Harry Slaper, and Gunther Seckmeyer
Geosci. Instrum. Method. Data Syst., 5, 333–345, https://doi.org/10.5194/gi-5-333-2016, https://doi.org/10.5194/gi-5-333-2016, 2016
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Solar spectral UV irradiance data measured by the Brewer #037 spectroradiometer in Sodankylä, Finland, in 1990–2014 were examined for their quality flags given by the quality assurance (QA) tools of the European UV DataBase (EUVDB). Statistical analysis on the flags was performed, and five cases were investigated in detail. The results can be used in further development of the quality control/QA tools and selection of cases of exceptional atmospheric conditions for process studies.
T. O'Donnell Meininger and J. S. Selker
Geosci. Instrum. Method. Data Syst., 4, 19–22, https://doi.org/10.5194/gi-4-19-2015, https://doi.org/10.5194/gi-4-19-2015, 2015
K. Willett, C. Williams, I. T. Jolliffe, R. Lund, L. V. Alexander, S. Brönnimann, L. A. Vincent, S. Easterbrook, V. K. C. Venema, D. Berry, R. E. Warren, G. Lopardo, R. Auchmann, E. Aguilar, M. J. Menne, C. Gallagher, Z. Hausfather, T. Thorarinsdottir, and P. W. Thorne
Geosci. Instrum. Method. Data Syst., 3, 187–200, https://doi.org/10.5194/gi-3-187-2014, https://doi.org/10.5194/gi-3-187-2014, 2014
O. Kemppinen, J. E. Tillman, W. Schmidt, and A.-M. Harri
Geosci. Instrum. Method. Data Syst., 2, 61–69, https://doi.org/10.5194/gi-2-61-2013, https://doi.org/10.5194/gi-2-61-2013, 2013
D. Mayer, A. Steiner, and R. Steinacker
Geosci. Instrum. Method. Data Syst., 1, 135–149, https://doi.org/10.5194/gi-1-135-2012, https://doi.org/10.5194/gi-1-135-2012, 2012
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Short summary
We have produced a standardised high-quality set of measurements to create definitive data for four Indonesian Geomagnetic Observatories for 2010–2018. We explain the steps taken to update the existing data collection and processing protocols and suggest improvements to further enhance the quality of the magnetic time series at each observatory. The new data will fill the gap in the western Pacific region and provide input into geomagnetic field modeling and secular variation studies.
We have produced a standardised high-quality set of measurements to create definitive data for...