@article{MTMT:34644989, title = {HUNGARIAN CONTRIBUTION TO THE RESEARCH OF EARTH'S INTERNAL MAGNETIC FIELD (2019 - 2022) - IAGA DIVISION I - PART II}, url = {https://m2.mtmt.hu/api/publication/34644989}, author = {Kuslits, Lukács}, journal-iso = {GEOMAT KÖZL}, journal = {GEOMATIKAI KÖZLEMÉNYEK / PUBLICATIONS IN GEOMATICS}, volume = {25}, unique-id = {34644989}, issn = {1419-6492}, year = {2023}, pages = {55-56} } @CONFERENCE{MTMT:34644912, title = {Constructing a source model of the geodynamo using deep learning}, url = {https://m2.mtmt.hu/api/publication/34644912}, author = {Kuslits, Lukács and Lemperger, István and Horváth, András and Czirok, Lili and Wesztergom, Viktor}, booktitle = {XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023)}, doi = {10.57757/IUGG23-4545}, unique-id = {34644912}, year = {2023} } @misc{MTMT:34138948, title = {ELF Radio Waves in the Service of Studying the Lithosphere-Atmosphere-Ionosphere System}, url = {https://m2.mtmt.hu/api/publication/34138948}, author = {Bozóki, Tamás and Sátori, Gabriella and Williams, Earle and Prácser, Ernő and Szabóné André, Karolina and Steinbach, Péter and Bozsó, István and Horváth, András and Kuslits, Lukács and Timkó, Máté and Guha, Anirban and Liu, Yakun and Bór, József}, unique-id = {34138948}, year = {2023}, pages = {171}, orcid-numbers = {Bozóki, Tamás/0000-0002-1672-1510; Szabóné André, Karolina/0000-0002-2465-1620; Steinbach, Péter/0000-0003-2524-8494; Buzás, Attila/0000-0002-2648-7764} } @CONFERENCE{MTMT:34125281, title = {The impact of two extraordinary geophysical events on Schumann resonances: lessons from the Hunga-Tonga volcanic eruption and GRB 221009A}, url = {https://m2.mtmt.hu/api/publication/34125281}, author = {Bozóki, Tamás and Bór, József and Sátori, Gabriella and E., Williams and M., Rycroft and Steinbach, Péter and Bozsó, István and Horváth, András and Kuslits, Lukács and M., Atkinson and J., Kubisz and J., Mlynarzyk and A., Neska and T., Raita and R., Said}, booktitle = {XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023)}, unique-id = {34125281}, year = {2023}, orcid-numbers = {Bozóki, Tamás/0000-0002-1672-1510; Steinbach, Péter/0000-0003-2524-8494} } @CONFERENCE{MTMT:34102853, title = {Testing a “fully – automated” clustering algorithm for stress inversions (CluStress)}, url = {https://m2.mtmt.hu/api/publication/34102853}, author = {Czirok, Lili and Kuslits, Lukács and Gribovszki, Katalin Eszter and Bozsó, István}, booktitle = {XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023)}, doi = {10.57757/IUGG23-4514}, unique-id = {34102853}, abstract = {The goal of this contribution is to present the “fully-automated” clustering algorithm developed by the authors. This is augmented by a case study where the authors carried out various cluster analyses of the focal mechanism solutions (FMS) estimated from local and teleseismic measurements and then performed stress inversions using the resulting clusters. This algorithm does not call for the setting of hyper-parameters by the users, thus greatly reducing the level of subjectivity introduced by user choice; the time required to finish the clustering can also be decreased. There is, however, an optional hyper-parameter which can be used for outlier detection, i.e. identify the data points considered to be noise in the input dataset, increasing the performance of the stress estimations. For probing the efficiency of their algorithm, systematic series of tests were executed on synthetic FMS data featuring clusters of various characteristics. During these tests, CluStress has been compared to other established clustering methods, namely, hierarchical density-based clustering for applications with noise (HDBSCAN) and agglomerative hierarchical analysis. Quantitative metrics, mainly the characteristic curves produced using the so-called silhouette-coefficient indicate that CluStress generates the most robust clusters for the stress inversions on synthetic data. A similar conclusion could be drawn from the same test performed using real FMS data of the investigated study area. As for this latter case, the resulting stress tensors show good agreement with the earlier published results with the notable exception of traces of extension, identified in some parts of the region after FMS clustering.}, year = {2023}, pages = {IUGG23-4514}, orcid-numbers = {Gribovszki, Katalin Eszter/0000-0003-2577-0127} } @CONFERENCE{MTMT:33797498, title = {ELF-transients detected in the broadband recordings at the Hylaty station in Poland}, url = {https://m2.mtmt.hu/api/publication/33797498}, author = {Bozóki, Tamás and Janusz, Młynarczyk and Bór, József and Jerzy, Kubisz and Bozsó, István and Horváth, András and Kuslits, Lukács and Timkó, Máté}, booktitle = {EGU General Assembly 2023: Abstracts}, doi = {10.5194/egusphere-egu23-17102}, unique-id = {33797498}, year = {2023}, orcid-numbers = {Bozóki, Tamás/0000-0002-1672-1510} } @article{MTMT:33560493, title = {Geomágneses megfigyelő rendszer a Széchenyi István Geofizikai Obszervatóriumban}, url = {https://m2.mtmt.hu/api/publication/33560493}, author = {Lemperger, István and Szendrői, Judit and Szabó, Csongor and Kuslits, Lukács and Kis, Árpád and Szalai, Sándor and Molnár, Csaba and Wesztergom, Viktor}, doi = {10.55856/gok2020.4}, journal-iso = {Geofizikai Obszervatóriumi Közlemények}, journal = {Geofizikai Obszervatóriumi Közlemények}, volume = {2020}, unique-id = {33560493}, abstract = {A Széchenyi István Geofizikai Obszervatóriumban (SZIGO) már több, mint hat évtizede folyik a felszíni geoelektromos és geomágneses tér megfigyelése. Az Obszervatórium a geomágneses megfigyelő állomásokat tömörítő nemzetközi hálózat, az INTERMAGNET egyik legjobb minősítéssel kitüntetett tagja, melyet a folyamatos és nagy pontosságú adatszolgáltatás révén érdemelt ki (https://www.intermagnet.org/). A geomágneses megfigyelő rendszer nemrégiben újult meg, illetve egészült ki egy redundáns digitalizáló-adatgyűjtő-szerver lánccal, melynek révén a fluxgate magnetométer analóg jelét két független rendszer digitalizálja, rendezi ASCII fájlokba, valamint továbbítja egy-egy adatszerveren telepített SQL adatbázisba. A geomágneses indukció révén az előbbihez szervesen kapcsolódó fizikai mennyiség, a geoelektromos tér mérésére szolgáló rendszer a közeljövőben szintén megújul, melynek eredményeképpen egy nagyobb dinamikatartományt, jobb felbontásban leképező rendszer kerül beüzemelésre. Az alábbiakban az újonnan telepített geomágneses mérőrendszer kerül bemutatásra, valamint néhány, az új rendszerrel, az elmúlt 12 hónapban regisztrált SSC esemény.}, year = {2022}, eissn = {2939-5054}, pages = {28-36} } @CONFERENCE{MTMT:33555126, title = {Studying the stress field variations in the Vrancea-zone using clustering-based stress inversions}, url = {https://m2.mtmt.hu/api/publication/33555126}, author = {Czirok, Lili and Kuslits, Lukács and Bozsó, István and Gribovszki, Katalin Eszter}, booktitle = {EGU General Assembly 2022: Abstracts}, doi = {10.5194/egusphere-egu22-9181}, unique-id = {33555126}, year = {2022}, orcid-numbers = {Gribovszki, Katalin Eszter/0000-0003-2577-0127} } @{MTMT:33550831, title = {Atmospheric electric potential gradient data at the Széchenyi István Geophysical Observatory, Hungary, digitized from photographical records from the years 1999-2009}, url = {https://m2.mtmt.hu/api/publication/33550831}, author = {Magos, Levente and Buzás, Attila and Tacza Anaya, Jose Carlos and Bozóki, Tamás and Bozsó, István and Kuslits, Lukács and Timkó, Máté and Horváth, András and Bór, József}, doi = {10.1594/PANGAEA.950160}, unique-id = {33550831}, abstract = {The negative of the vertical component of the atmospheric direct current (DC) electric field is referred to as the atmospheric electric potential gradient (PG). The PG depends on the actual ionospheric potential, local electric fields, and the electrical conductivity of the air at the place of the measurement. These factors are more or less directly connected to meteorological conditions. The overall state of the global network of large-scale electrical currents in the Earth-ionosphere system can be inferred from the PG when the weather is locally calm. This state is traditionally referred to as “fair weather” and is characterized by allowed ranges of specified meteorological parameters (Harrison and Nicoll, 2018). This dataset contains PG data recorded in the Széchenyi István Geophysical Observatory (NCK, 47.632°N, 16.718°E), Hungary from 1999 up to 2009. Throughout this time period, data were collected using two instruments (with occasional small upgrades in the electronics). The older instrument has been measuring the PG quasi-continuously since 1962 and the newer one has been recording the PG since 1998. The two instruments are practically at the same place installed 5 m from each other. Basically, this dataset contains the data measured by the older instrument, however, at times when there were no data available from the older instrument, data from the newer apparatus were used. The operation principle is the same for both devices. Radioactive material is used which equalizes the atmospheric potential over the lowest 1 m thick air layer so that the potential difference between the sensing and grounded electrodes at ground level is the PG itself. Zero signal offset was determined daily and the instrument was calibrated in the ±250 V/m range weekly whenever it was possible. The instrument has a measuring range of −300 V/m to 300 V/m. The data were recorded photographically by a sensitive galvanometer. Detailed characteristics of the instruments and the applied calibration technique as well as links to original data publications can be found in Bór et al., 2020 and the references therein. Originally, hourly PG averages were obtained from the photographical records via manual evaluation with an uncertainty of ±10 V/m (Buzás et al., 2022). However, by means of digital image processing techniques, PG values measured at NCK were determined with a temporal resolution of 42 seconds and a ±3 V/m uncertainty (Magos et al., 2022). During the data digitization, archive PG data from 1999 to 2009 recorded on photo papers were used. First of all, the photo paper rolls were scanned into a raster image. After that, a locally-developed image processing algorithm extracted the digital PG value from the scanned images. This dataset contains these data, which have higher temporal resolution compared to the originally extracted PG data in hourly resolution. Please note, however, that owing to the characteristics of the algorithm used during the digitization, PG values with a large absolute magnitude are often missed by the algorithm as the it was optimized for fair-weather PG values that have a smaller absolute magnitude. On-site measurements of temperature, total rainfall, relative humidity, resultant wind direction and speed, and global solar radiation after the year of 2000 with a temporal resolution of 10 minutes can be found in the Buzás et al., 2022 dataset in Pangaea. This dataset also contains PG values which have been corrected for the time-dependent bias caused by the electrostatic shielding effect of trees that were growing up not far from the measuring instrument over the decades. Note that this shielding effect largely dominates the long-term trends in the uncorrected data, so the original PG data must be interpreted with care. The uncertainty of the conversion is also provided. This uncertainty arises from unexact information on the age and growth rate of different trees near the measuring instrument and from the ±3 V/m uncertainty of the image digitization. Detailed explanation of the correction can be found in Buzás et al., 2021.}, year = {2022}, orcid-numbers = {Buzás, Attila/0000-0002-2648-7764; Tacza Anaya, Jose Carlos/0000-0002-2625-7803; Bozóki, Tamás/0000-0002-1672-1510} } @article{MTMT:33171542, title = {Cluster Analysis for the Study of Stress Patterns in the Vrancea-Zone (SE-Carpathians)}, url = {https://m2.mtmt.hu/api/publication/33171542}, author = {Czirok, Lili and Kuslits, Lukács and Bozsó, István and Radulian, Mircea and Gribovszki, Katalin Eszter}, doi = {10.1007/s00024-022-03159-w}, journal-iso = {PURE APPL GEOPHYS}, journal = {PURE AND APPLIED GEOPHYSICS}, volume = {179}, unique-id = {33171542}, issn = {0033-4553}, year = {2022}, eissn = {1420-9136}, pages = {3693-3712}, orcid-numbers = {Gribovszki, Katalin Eszter/0000-0003-2577-0127} }