Articles | Volume 6, issue 2
https://doi.org/10.5194/gi-6-329-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gi-6-329-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
15 Sep 2017
Research article |
| 15 Sep 2017
Noise in raw data from magnetic observatories
Institute of Cosmophysical Research and Radio Wave Propagation FEB
RAS, Mirnaya str, 7, Paratunka 684034, Kamchatka, Russia
Oksana V. Mandrikova
Institute of Cosmophysical Research and Radio Wave Propagation FEB
RAS, Mirnaya str, 7, Paratunka 684034, Kamchatka, Russia
Ekaterina A. Budilova
Institute of Cosmophysical Research and Radio Wave Propagation FEB
RAS, Mirnaya str, 7, Paratunka 684034, Kamchatka, Russia
Kamchatka State Technical University, Klyuchevskaya str, 35,
Petropavlovsk-Kamchatsky 683003, Russia
Kusumita Arora
CSIR – National Geophysical Research Institute, Uppal Road,
Hyderabad-500007, Telangana, India
Lingala Manjula
CSIR – National Geophysical Research Institute, Uppal Road,
Hyderabad-500007, Telangana, India
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Cited
21 citations as recorded by crossref.
- Real-time plotting and evaluation of the data quality control from the CSIR-NGRI magnetic observatories P. Vengala et al. https://doi.org/10.5194/gi-14-491-2025
- Development and testing of a portable ``noise-meter'' for areal magnetic noise survey D. Kudin et al. https://doi.org/10.2205/2020ES000713
- Impact of the intense geomagnetic storm of August 2018 on the equatorial and low latitude ionosphere N. Imtiaz et al. https://doi.org/10.1007/s10509-021-04009-2
- Synthetic Training Enables Deployment on Raw Drone Data: An Attention-Based Framework for Detecting Orphan Wells A. Marcato et al. https://doi.org/10.3390/s26092573
- Improving the Quality of Magnetograms Using Data from Several Magnetic Observatories I. Vassilyev et al. https://doi.org/10.3390/app151810129
- Problems of Processing of Raw Data from Magnetic Observatories: Will Modern Mathematical Technologies Help? S. Khomutov https://doi.org/10.2205/2025ES000994
- Ionospheric and Magnetic Signatures of a Space Weather Event on 25–29 August 2018: CME and HSSWs W. Younas et al. https://doi.org/10.1029/2020JA027981
- “Raw data denoising and assessment of records from Misallat and Abu Simbel geomagnetic observatories, Egypt” A. Samy & T. Arafa-Hamed https://doi.org/10.1016/j.jafrearsci.2023.104941
- Geomagnetic Observations in India N. Nagarajan et al. https://doi.org/10.17491/jgsi/2025/174181
- The development and test research of a multichannel synchronous transient electromagnetic receiver F. Lin et al. https://doi.org/10.5194/gi-7-209-2018
- International project INTERMAGNET and magnetic observatories of Russia: cooperation and progress S. Khomutov et al. https://doi.org/10.1051/e3sconf/20186202008
- Production of definitive data from Indonesian geomagnetic observatories R. Margiono et al. https://doi.org/10.5194/gi-10-169-2021
- Some problems with old magnetic data processing S. Khomutov et al. https://doi.org/10.1051/e3sconf/202019602029
- Studies of the Earth’s Magnetic Field from Peninsular India: Contributions from CSIR-NGRI M. Venkateshwarlu & K. Arora https://doi.org/10.1007/s12594-021-1842-8
- Automated High‐Frequency Geomagnetic Disturbance Classifier: A Machine Learning Approach to Identifying Noise While Retaining High‐Frequency Components of the Geomagnetic Field B. McCuen et al. https://doi.org/10.1029/2022JA030842
- A Machine Learning Enabled Wireless Intracranial Brain Deformation Sensing System S. Islam et al. https://doi.org/10.1109/TBME.2020.2990071
- Wavelet Model of Geomagnetic Field Variations and Its Application to Detect Short-Period Geomagnetic Anomalies O. Mandrikova et al. https://doi.org/10.3390/app12042072
- Coherent detection stochastic resonance assisted biomagnetometer for measuring magnetocardiography at room temperature Z. Liao et al. https://doi.org/10.35848/1882-0786/ac1de5
- METHOD OF NOISE DETECTION IN MAGNETIC DATA . Папшева et al. https://doi.org/10.26117/2079-6641-2019-29-4-87-97
- On the directions and structure of the short-term magnetic variations A. Khokhlov et al. https://doi.org/10.2205/2019ES000656
- Evaluating the Effect of Noise from Traffic on HYB Magnetic Observatory Data during COVID-19 Lockdown M. Lingala et al. https://doi.org/10.3390/app12052730
21 citations as recorded by crossref.
- Real-time plotting and evaluation of the data quality control from the CSIR-NGRI magnetic observatories P. Vengala et al. https://doi.org/10.5194/gi-14-491-2025
- Development and testing of a portable ``noise-meter'' for areal magnetic noise survey D. Kudin et al. https://doi.org/10.2205/2020ES000713
- Impact of the intense geomagnetic storm of August 2018 on the equatorial and low latitude ionosphere N. Imtiaz et al. https://doi.org/10.1007/s10509-021-04009-2
- Synthetic Training Enables Deployment on Raw Drone Data: An Attention-Based Framework for Detecting Orphan Wells A. Marcato et al. https://doi.org/10.3390/s26092573
- Improving the Quality of Magnetograms Using Data from Several Magnetic Observatories I. Vassilyev et al. https://doi.org/10.3390/app151810129
- Problems of Processing of Raw Data from Magnetic Observatories: Will Modern Mathematical Technologies Help? S. Khomutov https://doi.org/10.2205/2025ES000994
- Ionospheric and Magnetic Signatures of a Space Weather Event on 25–29 August 2018: CME and HSSWs W. Younas et al. https://doi.org/10.1029/2020JA027981
- “Raw data denoising and assessment of records from Misallat and Abu Simbel geomagnetic observatories, Egypt” A. Samy & T. Arafa-Hamed https://doi.org/10.1016/j.jafrearsci.2023.104941
- Geomagnetic Observations in India N. Nagarajan et al. https://doi.org/10.17491/jgsi/2025/174181
- The development and test research of a multichannel synchronous transient electromagnetic receiver F. Lin et al. https://doi.org/10.5194/gi-7-209-2018
- International project INTERMAGNET and magnetic observatories of Russia: cooperation and progress S. Khomutov et al. https://doi.org/10.1051/e3sconf/20186202008
- Production of definitive data from Indonesian geomagnetic observatories R. Margiono et al. https://doi.org/10.5194/gi-10-169-2021
- Some problems with old magnetic data processing S. Khomutov et al. https://doi.org/10.1051/e3sconf/202019602029
- Studies of the Earth’s Magnetic Field from Peninsular India: Contributions from CSIR-NGRI M. Venkateshwarlu & K. Arora https://doi.org/10.1007/s12594-021-1842-8
- Automated High‐Frequency Geomagnetic Disturbance Classifier: A Machine Learning Approach to Identifying Noise While Retaining High‐Frequency Components of the Geomagnetic Field B. McCuen et al. https://doi.org/10.1029/2022JA030842
- A Machine Learning Enabled Wireless Intracranial Brain Deformation Sensing System S. Islam et al. https://doi.org/10.1109/TBME.2020.2990071
- Wavelet Model of Geomagnetic Field Variations and Its Application to Detect Short-Period Geomagnetic Anomalies O. Mandrikova et al. https://doi.org/10.3390/app12042072
- Coherent detection stochastic resonance assisted biomagnetometer for measuring magnetocardiography at room temperature Z. Liao et al. https://doi.org/10.35848/1882-0786/ac1de5
- METHOD OF NOISE DETECTION IN MAGNETIC DATA . Папшева et al. https://doi.org/10.26117/2079-6641-2019-29-4-87-97
- On the directions and structure of the short-term magnetic variations A. Khokhlov et al. https://doi.org/10.2205/2019ES000656
- Evaluating the Effect of Noise from Traffic on HYB Magnetic Observatory Data during COVID-19 Lockdown M. Lingala et al. https://doi.org/10.3390/app12052730
Saved (final revised paper)
Latest update: 15 Aug 2026
Short summary
Noise is a common problem for the experiments or observations. Noise in the raw data of magnetic observatories has features. The article makes an attempt to give a review of this noise, using the data from some Russian and Indian observatories.
Noise is a common problem for the experiments or observations. Noise in the raw data of magnetic...
