Relevant bibliographies by topics / Geomagnetic variations

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Geomagnetic variations'

Author: Grafiati
Published: 6 September 2023

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Journal articles on the topic "Geomagnetic variations"

1

Sutcliffe, P. R. "The development of a regional geomagnetic daily variation model using neural networks." Annales Geophysicae 18, no. 1 (January 31, 2000): 120–28. http://dx.doi.org/10.1007/s00585-000-0120-0.

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Abstract. Global and regional geomagnetic field models give the components of the geomagnetic field as functions of position and epoch; most utilise a polynomial or Fourier series to map the input variables to the geomagnetic field values. The only temporal variation generally catered for in these models is the long term secular variation. However, there is an increasing need amongst certain users for models able to provide shorter term temporal variations, such as the geomagnetic daily variation. In this study, for the first time, artificial neural networks (ANNs) are utilised to develop a geomagnetic daily variation model. The model developed is for the southern African region; however, the method used could be applied to any other region or even globally. Besides local time and latitude, input variables considered in the daily variation model are season, sunspot number, and degree of geomagnetic activity. The ANN modelling of the geomagnetic daily variation is found to give results very similar to those obtained by the synthesis of harmonic coefficients which have been computed by the more traditional harmonic analysis of the daily variation.Key words. Geomagnetism and paleomagnetism (time variations; diurnal to secular) · Ionosphere (modelling and forecasting)
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Akpaneno, Aniefiok, and O. N. Abdulahi. "INVESTIGATING THE VARIATIONS OF HORIZONTAL (H) AND VERTICAL (Z) COMPONENTS OF THE GEOMAGNETIC FIELD AT SOME EQUATORIAL ELECTROJET STATIONS." FUDMA JOURNAL OF SCIENCES 5, no. 1 (July 14, 2021): 539–57. http://dx.doi.org/10.33003/fjs-2021-0501-661.

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This research is monitoring equatorial geomagnetic current which causes atmospheric instabilities and affects high frequency and satellite communication. It presents the variations of Horizontal (H) and vertical (Z) component of the geomagnetic field at some Equatorial Electrojet (EEJ) Stations during quiet days. Data from five (5) observatories along the magnetic equator were used for the study. Daily baseline values for each of the geomagnetic element 𝐻 and Z were obtained. The monthly average of the diurnal variation and the seasonal variations were found. Results showed that the variations of the geomagnetic element of both H and Z differ in magnitudes from one stations to another along the geomagnetic Equator due to the differences of their geomagnetic latitude. The Amplitude curves for Z) are seen to be conspicuously opposite to that of H), and there is absence of CEJ in Z- Component but present in H- Components. The values during the pre-sunrise hours are low compare to daytime hours. Minimum variations of dH was observed during June solstice and maximum variations was observed during Equinox season. This study shows that daily variations of (H) and (Z) occur in all the stations. The enhancement in H is as a result of EEJ current.
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Akpaneno, Aniefiok F., and O. N. Abdullahi. "INVESTIGATING THE VARIATIONS OF HORIZONTAL (H) AND VERTICAL (Z) COMPONENTS OF THE GEOMAGNETIC FIELD AT SOME EQUATORIAL ELECTROJET STATIONS." FUDMA JOURNAL OF SCIENCES 5, no. 2 (July 16, 2021): 531–48. http://dx.doi.org/10.33003/fjs-2021-0502-667.

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This research is monitoring equatorial geomagnetic current which causes atmospheric instabilities and affects high frequency and satellite communication. It presents the variations of Horizontal (H) and vertical (Z) component of the geomagnetic field at some Equatorial Electrojet (EEJ) Stations during quiet days. Data from five (5) observatories along the magnetic equator were used for the study. Daily baseline values for each of the geomagnetic element 𝐻 and Z were obtained. The monthly average of the diurnal variation and the seasonal variations were found. Results showed that the variations of the geomagnetic element of both H and Z differ in magnitudes from one stations to another along the geomagnetic Equator due to the differences of their geomagnetic latitude. The Amplitude curves for Z) are seen to be conspicuously opposite to that of H), and there is absence of CEJ in Z- Component but present in H- Components. The values during the pre-sunrise hours are low compare to daytime hours. Minimum variations of dH was observed during June solstice and maximum variations was observed during Equinox season. This study shows that daily variations of (H) and (Z) occur in all the stations. The enhancement in H is as a result of EEJ current
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4

Le Mouël, J. L., E. Blanter, and M. Shnirman. "The six-month line in geomagnetic long series." Annales Geophysicae 22, no. 3 (March 19, 2004): 985–92. http://dx.doi.org/10.5194/angeo-22-985-2004.

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Abstract. Daily means of the horizontal components X (north) and Y (east) of the geomagnetic field are available in the form of long series (several tens of years). Nine observatories are used in the present study, whose series are among the longest. The amplitudes of the 6-month and 1-year periodic variations are estimated using a simple but original technique. A remarkably clear result emerges from the complexity of the geomagnetic data: the amplitude of the 6-month line presents, in all observatories, the same large variation (by a factor of 1.7) over the 1920–1990 time span, regular and quasi-sinusoidal. Nothing comparable comes out for the annual line. The 6-month line results from the modulation by an astronomical mechanism of a magnetospheric system of currents. As this latter mechanism is time invariant, the intensity of the system of currents itself must present the large variation observed on the 6-months variation amplitude. This variation presents some similarities with the one displayed by recent curves of reconstructed solar irradiance or the "Earth's temperature". Finally, the same analysis is applied to the aa magnetic index.Key words. Geomagnetism and paleomagnetism (time variations, diurnal to secular). Magnetospheric physics (current systems; polar cap phenomena)
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Lyatsky, W., and A. M. Hamza. "Seasonal and diurnal variations of geomagnetic activity and their role in Space Weather forecast." Canadian Journal of Physics 79, no. 6 (June 1, 2001): 907–20. http://dx.doi.org/10.1139/p01-049.

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A possible test for different models explaining the seasonal variation in geomagnetic activity is the diurnal variation. We computed diurnal variations both in the occurrence of large AE (auroral electrojet) indices and in the AO index. (AO is the auroral electrojet index that provides a measure of the equivalent zonal current.) Both methods show a similar diurnal variation in geomagnetic activity with a deep minimum around (3–7) UT (universal time) in winter and a shallower minimum near 5–9 UT in equinoctial months. The observed UT variation is consistent with the results of other scientists, but it is different from that expected from the Russell–McPherron mechanism proposed to explain the seasonal variation. It is suggested that the possible cause for the diurnal and seasonal variations may be variations in nightside ionospheric conductivity. Recent experimental results show an important role for ionospheric conductivity in particle acceleration and geomagnetic disturbance generation. They also show that low ionospheric conductivity is favorable to the generation of auroral and geomagnetic activity. The conductivity in conjugate nightside auroral zones (where substorm generation takes place) is minimum at equinoxes, when both auroral zones are in darkness. The low ionospheric conductivity at equinoxes may be a possible cause for the seasonal variation in the geomagnetic activity with maxima in equinoctial months. The diurnal variation in geomagnetic activity can be produced by the UT variation in the nightside ionospheric conductivity, which in winter and at equinoxes has a maximum around 4–5 UT that may lead to a minimum in geomagnetic activity at this time. We calculated the correlation patterns for the AE index versus solar-wind parameters inside and outside the (2–7) UT sector related to the minimum in geomagnetic activity. The correlation patterns appear different in these two sectors indeed, which is well consistent with the UT variation in geomagnetic activity. It also shows that it is possible to improve significantly the reliability of the Space Weather forecast by taking into account the dependence of geomagnetic activity not only on solar-wind parameters but also on UT and season. Our test shows that a simple account for the dependence of geomagnetic activity on UT can improve the reliability of the Space Weather forecast by at least 50% in the 2–7 UT sector in winter and equinoctial months. PACS No.: 91.25Le
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Lin, Jyh-Woei. "Geomagnetic Storm Related to Disturbance Storm Time Indices." European Journal of Environment and Earth Sciences 2, no. 6 (November 5, 2021): 1–3. http://dx.doi.org/10.24018/ejgeo.2021.2.6.199.

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The magnitude of the Disturbance Storm Time (Dst) index varied in relation to the extremely small negative integer that indicated a large geomagnetic storm. The large sharpened variants of negative Dst indices could describe the detailed features of a geomagnetic storm. the Dst index was estimated using an algorithm through time and frequency-domain band-stop filtering to remove the solar-quiet variation and the mutual coupling effects between the Earth’s rotation, the Moon’s orbit, and the Earth’s orbit around the Sun. A good geomagnetic model that could describe the true variations in the geomagnetic field when undergoing diverse space weather, and one that could even predict variations in the geomagnetic field with a high accuracy. A suitable temporal resolution for the Dst index was per hour.
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Mikhailov, A. V. "Ionospheric F1 layer long-term trends and the geomagnetic control concept." Annales Geophysicae 26, no. 12 (November 28, 2008): 3793–803. http://dx.doi.org/10.5194/angeo-26-3793-2008.

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Abstract. A previous approach to the ionospheric long-term trend analysis has been applied to the foF1 observations from Slough and Rome in order to investigate a possible relationship between the foF1 and the long-term variation of geomagnetic activity. A 40-year period, starting in 1962, has been used for the analysis. According to the results obtained earlier for F2 and E-region trends, geomagnetic control of the long-term variation has also been revealed for the foF1. Thus, it is now possible to speak about the geomagnetic control of the ionospheric trends in the whole ionosphere. This is not surprising as the Earth's ionosphere is a single entity that is strongly controlled, either directly or indirectly, by the magnetic field. As with the F2-region, this geomagnetic control is provided via neutral composition and temperature changes. A very long-term (centennial) increase in geomagnetic activity in the 20th century is seen in the long-term foF1 variations as well. After its removal, the residual foF1 trends are very small and insignificant. In principal, this means that the observed foF1 long-term variations have a natural origin and can be attributed to solar and geomagnetic activity long-term variations. However, the situation in the thermosphere has been changing since 1997 and available foF2 observations at the two stations reveal information about the "break down" of the geomagnetic control in the F2-region. Possible reasons of these changes are discussed.
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Trichtchenko, L., and D. H. Boteler. "Modelling of geomagnetic induction in pipelines." Annales Geophysicae 20, no. 7 (July 31, 2002): 1063–72. http://dx.doi.org/10.5194/angeo-20-1063-2002.

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Abstract. Geomagnetic field variations induce telluric currents in pipelines, which modify the electrochemical conditions at the pipe/soil interface, possibly contributing to corrosion of the pipeline steel. Modelling of geomagnetic induction in pipelines can be accomplished by combining several techniques. Starting with geomagnetic field data, the geoelectric fields in the absence of the pipeline were calculated using the surface impedance derived from a layered-Earth conductivity model. The influence of the pipeline on the electric fields was then examined using an infinitely long cylinder (ILC) model. Pipe-to-soil potentials produced by the electric field induced in the pipeline were calculated using a distributed source transmission line (DSTL) model. The geomagnetic induction process is frequency dependent; therefore, the calculations are best performed in the frequency domain, using a Fourier transform to go from the original time domain magnetic data, and an inverse Fourier transform at the end of the process, to obtain the pipe-to-soil potential variation in the time domain. Examples of the model calculations are presented and compared to observations made on a long pipeline in the auroral zone.Key words. Geomagnetism and paleomagnetism (geo-magnetic induction)
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Bochníček, J., P. Hejda, V. Bucha, and J. Pýcha. "Possible geomagnetic activity effects on weather." Annales Geophysicae 17, no. 7 (July 31, 1999): 925–32. http://dx.doi.org/10.1007/s00585-999-0925-4.

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Abstract. Tropospheric temperature and pressure fields on the Northern Hemisphere in the winter periods 1952-1996 were investigated. Composite maps of those fields, created for the high and low geomagnetic activity and individual quasi-biennial oscillation (QBO), phases show clear differences not only between different levels of geomagnetic activity, but also between the two phases of QBO. Special attention was given to the behaviour of the lower troposphere in January and February 1982.Key words. Geomagnetism and paleomagnetism (time variations · diurnal to regular). Meteorology and atmospheric dynamics (general circulation; middle atmosphere dynamics)
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Lepidi, Stefania, Lili Cafarella, Patrizia Francia, Andrea Piancatelli, Manuela Pietrolungo, Lucia Santarelli, and Stefano Urbini. "A study of geomagnetic field variations along the 80° S geomagnetic parallel." Annales Geophysicae 35, no. 1 (January 24, 2017): 139–46. http://dx.doi.org/10.5194/angeo-35-139-2017.

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Abstract. The availability of measurements of the geomagnetic field variations in Antarctica at three sites along the 80° S geomagnetic parallel, separated by approximately 1 h in magnetic local time, allows us to study the longitudinal dependence of the observed variations. In particular, using 1 min data from Mario Zucchelli Station, Scott Base and Talos Dome, a temporary installation during 2007–2008 Antarctic campaign, we investigated the diurnal variation and the low-frequency fluctuations (approximately in the Pc5 range, ∼ 1–7 mHz). We found that the daily variation is clearly ordered by local time, suggesting a predominant effect of the polar extension of midlatitude ionospheric currents. On the other hand, the pulsation power is dependent on magnetic local time maximizing around magnetic local noon, when the stations are closer to the polar cusp, while the highest coherence between pairs of stations is observed in the magnetic local nighttime sector. The wave propagation direction observed during selected events, one around local magnetic noon and the other around local magnetic midnight, is consistent with a solar-wind-driven source in the daytime and with substorm-associated processes in the nighttime.
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Dissertations / Theses on the topic "Geomagnetic variations"

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Davidson, Nigel Charles. "The analysis of geomagnetic storm-time variations." Thesis, University of Edinburgh, 1992. http://hdl.handle.net/1842/13577.

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The earth is bathed in an ever changing magnetic environment due to fluctuations in the solar wind. The external field induces currents within the earth which cause a secondary internal field. The ratio of internal to external parts of the magnetic potential is known as the response and may be derived from measurements of the field at the surface. The response of the earth is dependent on the spatial form of the field and distribution of conductivity within the earth. The analysis of numerous geomagnetic storms, large disturbances in the field surrounding the whole earth, is presented with the aim of determining a reliable response function which enables an estimate to be made of the average conductivity of the upper mantle. The compilation of a database of geomagnetic storms was a major part of the work. All the suitable storm events were selected between 1957 and 1982 to give 44 storms. The entire set of hourly values were checked for errors and corrections made where necessary. Where data were missing their values were interpolated using information from nearby observatories. The lower the frequency of external magnetic variations the deeper the penetration into the earth. The frequency content of geomagnetic storms allows depths approaching 1500km to be investigated. The observations of magnetic field were Fourier transformed and attention focussed on the Fourier coefficients of the lowest frequencies, 0.03 to 1 cycle per day. From Spherical Harmonic Analysis in the frequency domain it was found that a pure P1o spherical harmonic model is acceptable for the spatial form of the field at the frequencies of most interest. Thus the source is assumed to be a simple ring current in common with most of the previous research. The Fourier coefficients of the X and Z magnetic components were then fitted to the appropriate P1o model which allows the separate internal and external parts to be evaluated. A robust method, to reduce the influence of anomalous values, was used for determining the optimum fit to the Fourier coefficients. The technique was assessed by examining the distribution of residuals.
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Soyer, Wolfgang. "Analysis of geomagnetic variations in the Central and Southern Andes." [S.l.] : [s.n.], 2002. http://www.diss.fu-berlin.de/2002/134/index.html.

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McMillan, David G. "Statistical analyses of geomagnetic dipole variations, reversals and geodynamo simulations /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2003. http://wwwlib.umi.com/cr/ucsd/fullcit?p3090447.

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Okubo, Ayako. "Studies on geomagnetic spatial and temporal variations in volcanic area." 京都大学 (Kyoto University), 2005. http://hdl.handle.net/2433/145088.

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Kyoto University (京都大学)
0048
新制・課程博士
博士(理学)
甲第11320号
理博第2878号
新制||理||1430(附属図書館)
22963
UT51-2005-D71
京都大学大学院理学研究科地球惑星科学専攻
(主査)教授 田中 良和, 教授 大志万 直人, 教授 鍵山 恒臣
学位規則第4条第1項該当
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Mann, R. J. "Aspects of the day-to-day variability of Sq." Thesis, University of Exeter, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.370932.

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Turton, Ian. "Temporal and spatial variations of the geomagnetic field, up to a timescale of 10⁵ years." Thesis, University of Edinburgh, 1992. http://hdl.handle.net/1842/11472.

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This thesis comprises two parts. The main part is involved with laboratory studies of the palaeosecular variation of the geomagnetic field as recorded in lake sediments. The natural remanent magnetization of the sediments cored from the two Italian maar lakes, Lago di Monticchio and Lago di Martignano, has been studied. Further studies were carried out on the sediments of Lago di Martignano to determine the cause of large variations in the magnetic intensity of the sediments with an age of ˜ 6000 years BP and it was concluded that this was caused by the arrival of Neolithic man and the advent of agriculture in the catchment area. The directional record for this lake was also compared to the established record for north west Europe. Several declination and inclination features could be correlated between the two records. The record from Lago di Martignano can be accepted as a regional palaeomagnetic reference curve for central Italy. Cores up to 50m long were taken from Lago di Monticchio. Whilst not yet firmly dated, it is agreed that this record spans the last 250,000 years. A relative palaeointensity record has been calculated and spectral analysis has been carried out. It is concluded provisionally that the palaeointensity recorded in the sediments was effected by the astronomical frequencies associated with precession of the earth, the eccentricity and the obliquity of the Earth's orbit. The second part of this thesis is concerned with modelling the palaeosecular variations as recorded in sediments around the world through the Holocene, i.e. the last 10,000 years. The properties of sequential secular variation records from sediments are compared with palaeosecular variation scatter determined from sets of lava flows. It is concluded that a comparison between PSV recorded in lava flows and lake sediments is valid.
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Nakano, Shinya. "Variations of large-scale field-aligned currents and their effects on mid-latitude geomagnetic disturbances." 京都大学 (Kyoto University), 2004. http://hdl.handle.net/2433/147822.

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Saturnino, Diana. "Une méthode d’observatoires virtuels pour décrire les variations temporelles du champ géomagnétique et applications aux mesures de la mission Swarm." Nantes, 2015. https://archive.bu.univ-nantes.fr/pollux/show/show?id=181308db-f221-4fd6-84dc-ccfc2af8e6cd.

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A description of the temporal variations of the main geomagnetic field (i. E. , the secular variation, or SV) is crucial to the understanding of core dynamo generation. It is known with high accuracy at observatory locations, which are globally unevenly located, hampering the determination of a global pattern of these variations. Satellites have allowed global surveys of the field and its SV. Their data has been used by global spherical harmonic models using data selection criteria to reduce external contributions. SV small spatial scales may not be well described by these models, and can show significant errors compared to ground measurements. This study attempts to extract temporal variation time series from satellite measurements as it is done at observatory locations. We follow a Virtual Observatories (VO) approach, defining a global mesh of VOs at satellite altitude. We apply an Equivalent Source Dipole (ESD) technique. For each VO and a given time interval all measurements are reduced to a unique location, leading to time series similar to those available at the ground. Synthetic data is first used to validate the approach. We then apply our scheme to Swarm mission measurements. We locally compare the VO-ESD derived time series to ground observations and to satellite-based model predictions. The approach is able to describe field's time variations at local scales. The global mesh of VO time series is used to derive global spherical harmonic models. For a simple parametrization the model well describes the trend of the magnetic field both at satellite altitude and at the surface. Nevertheless more complex modelling can be made to properly profit of VO-ESD time series
La description des variations temporelles du champ géomagnétique (variation séculaire ou SV) est cruciale pour la compréhension de la dynamo. La SV est connue avec une grande précision dans les observatoires magnétiques, qui ont une répartition spatiale inégale. Les satellites donnent des observations globales du champ et de sa SV. Leurs données sont utilisées par les modèles globaux en harmoniques sphériques. Les petites échelles spatiales de la SV décrites par ces modèles peuvent montrer des erreurs par rapport aux mesures des observatoires. Dans cette étude je tente d'extraire des séries temporelles avec des mesures satellitaires comme dans les observatoires. L'approche des observatoires virtuels (VO) est suivie. Un maillage global de volumes à l'altitude du satellite est défini. Pour cela, la technique des Equivalent Source Dipoles (ESD) est appliquée. Pour chaque VO et intervalle de temps donné, toutes les mesures sont réduites à un endroit unique, menant à des séries temporelles similaires à celles disponibles dans les observatoires à la surface. L’approche est validée avec des donnes synthétiques et puis appliquée aux mesures de la mission Swarm. Les séries temporelles VO-ESD sont comparées à celles à la surface et aux prédictions par un modèle. L'approche décrit correctement les variations temporelles du champ à l'échelle locale. Un maillage global de VO est construit et utilisé pour obtenir des modèles globaux. Les modèles sont capables de décrire l'évolution du champ magnétique à la fois à l'altitude du satellite et à la surface. Toutefois des modélisations plus complexes pourront être faites pour profiter des séries temporelles VO-ESD
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Heller, Rainer. "The paleomagnetic field's long-term mean intensity and secular variation /." Thesis, Connect to this title online; UW restricted, 2001. http://hdl.handle.net/1773/6840.

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Bloxham, J. "Geomagnetic secular variation." Thesis, University of Cambridge, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.372644.

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Books on the topic "Geomagnetic variations"

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Karl-Heinz, Glassmeier, Soffel H. Chr, and Negendank Jörg F. W, eds. Geomagnetic field variations. Berlin: Springer, 2009.

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Karl-Heinz, Glassmeier, Soffel H. Chr, and Negendank Jörg F. W, eds. Geomagnetic field variations. Berlin: Springer, 2009.

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Karl-Heinz, Glassmeier, Soffel H. Chr, and Negendank Jörg F. W, eds. Geomagnetic field variations. Berlin: Springer, 2009.

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Glaβmeier, Karl-Heinz, Heinrich Soffel, and Jörg F. W. Negendank. Geomagnetic Field Variations. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-76939-2.

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1926-, Campbell Wallace H., ed. Quiet daily geomagnetic fields. Basel: Birkhäuser Verlag, 1989.

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P, Kharin E., Semenov V. I͡U︡, and Rossiĭskai͡a︡ akademii͡a︡ nauk. Nat͡s︡ionalʹnyĭ geofizicheskiĭ komitet, eds. Hourly indices of geomagnetic activity for the middle latitudes: Catalogue 1964-1991. Moscow: Geophysical Committee, Russian Academy of Sciences, 1992.

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Newitt, L. R. Guide for magnetic repeat station surveys. Boulder, CO: International Association of Geomagnetism and Aeronomy, 1996.

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Geomagnitnoe pole vo vremi͡a︡ inversiĭ v pozdnem kaĭnozoe. Moskva: "Nauka", 1988.

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Soviet-Finnish Auroral Workshop (1st 1984 Leningrad, R.S.F.S.R.). Proceedings of the first Soviet-Finnish Auroral Workshop, October 1-6, 1984 in Leningrad, USSR. Helsinki: Finnish Academy of Science and Letters, Sodankylä Geophysical Observatory, 1986.

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Stephenson, F. R., and A. W. Wolfendale, eds. Secular Solar and Geomagnetic Variations in the Last 10,000 Years. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-3011-7.

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Book chapters on the topic "Geomagnetic variations"

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Fabian, Karl, and Roman Leonhardt. "Records of Paleomagnetic Field Variations." In Geomagnetic Field Variations, 65–106. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-76939-2_3.

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Wicht, Johannes, Stephan Stellmach, and Helmut Harder. "Numerical Models of the Geodynamo: From Fundamental Cartesian Models to 3D Simulations of Field Reversals." In Geomagnetic Field Variations, 107–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-76939-2_4.

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Vogt, Joachim, Miriam Sinnhuber, and May-Britt Kallenrode. "Effects of Geomagnetic Variations on System Earth." In Geomagnetic Field Variations, 159–208. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-76939-2_5.

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Winch, Denis E. "Lunar Magnetic Variations." In Quiet Daily Geomagnetic Fields, 533–49. Basel: Birkhäuser Basel, 1989. http://dx.doi.org/10.1007/978-3-0348-9280-3_15.

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Anonymous. "II. Transient geomagnetic variations." In Cosmic Rays, the Sun and Geomagnetism: The Works of Scott E. Forbush, 20–44. Washington, D. C.: American Geophysical Union, 1993. http://dx.doi.org/10.1029/sp037p0020.

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Pal, Poorna C. "Long-Term Palaeofield Variations and the Geomagnetic Dynamo." In Geomagnetism and Palaeomagnetism, 319–34. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-0905-2_24.

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Tarling, D. H. "Secular Variations of the Geomagnetic Field — The Archaeomagnetic Record." In Secular Solar and Geomagnetic Variations in the Last 10,000 Years, 349–65. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-3011-7_22.

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Feynman, Joan. "Solar, Geomagnetic and Auroral Variations Observed in Historical Data." In Secular Solar and Geomagnetic Variations in the Last 10,000 Years, 141–59. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-3011-7_9.

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Meloni, Antonio, Luis R. Gaya-Piqué, Paola De Michelis, and Angelo De Santis. "Some Recent Characteristics of Geomagnetic Secular Variations in Antarctica." In Antarctica, 377–81. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/3-540-32934-x_47.

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Chandrasekhar, E. "Regional Electromagnetic Induction Studies Using Long Period Geomagnetic Variations." In The Earth's Magnetic Interior, 31–42. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-0323-0_3.

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Conference papers on the topic "Geomagnetic variations"

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Buga, Arunas, Simona Einorytė, Romuald Obuchovski, Vytautas Puškorius, and Petras Petroškevicius. "Analysis of Secular Variations of Geomagnetic Field in Lithuania Based on the Survey in 2016." In Environmental Engineering. VGTU Technika, 2017. http://dx.doi.org/10.3846/enviro.2017.170.

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Lithuania is successfully integrated in the European geomagnetic field research activities. Six secular variation research stations were established in 1999 and precise geomagnetic field measurements were performed there in 1999, 2001, 2004, 2007 and 2016. Obtained diurnal magnetic field variations at measuring station and neighbouring observatories were analysed. All measurements are reduced to the mean of the year using data from geomagnetic observatory of Belsk. Based on the measured data the analysis of geomagnetic field parameter secular changes was performed. Results of the presented research are useful for updating the old geomagnetic data as well as for estimation of accuracy of declination model.
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Kaji, Chinmaya V., Randy C. Hoover, and Shankarachary Ragi. "Underwater Navigation using Geomagnetic Field Variations." In 2019 IEEE International Conference on Electro Information Technology (EIT). IEEE, 2019. http://dx.doi.org/10.1109/eit.2019.8834192.

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Chamati, M., and E. Botev. "Nonlinear Analysis of Geomagnetic Variations Data from Panagyuriste Geomagnetic Observatory, Bulgaria." In 10th Congress of the Balkan Geophysical Society. European Association of Geoscientists & Engineers, 2019. http://dx.doi.org/10.3997/2214-4609.201902631.

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Kühn, G. J., and L. Loubser. "External Geomagnetic Field Variations And Magnetic Surveys." In 1st SAGA Biennial Conference and Exhibition. European Association of Geoscientists & Engineers, 1989. http://dx.doi.org/10.3997/2214-4609-pdb.222.029.

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Freire, L., S. R. Laranja, and L. Benyosef. "Geomagnetic Field Variations in the Equatorial Electrojet Sector." In Simpósio Brasileiro de Geofísica. Sociedade Brasileira de Geofísica, 2016. http://dx.doi.org/10.22564/7simbgf2016.041.

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Riabova, S. A., D. N. Loktev, and A. A. Spivak. "Geomagnetic variations due to change in groundwater level." In GeoBaikal 2016. Netherlands: EAGE Publications BV, 2016. http://dx.doi.org/10.3997/2214-4609.201601723.

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Mandrikova, Oksana, and Anastasia Rodomanskay. "Method for detecting geomagnetic disturbances based on the wavelet model of geomagnetic field variations." In 2021 International Conference on Information Technology and Nanotechnology (ITNT). IEEE, 2021. http://dx.doi.org/10.1109/itnt52450.2021.9649062.

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Chamati, Maria. "CHARACTERISTICS OF Pc5 PULSATIONS ACTIVITY AT MID LATITUDES DURING DECEMBER 2019." In 22nd SGEM International Multidisciplinary Scientific GeoConference 2022. STEF92 Technology, 2022. http://dx.doi.org/10.5593/sgem2022/1.1/s05.059.

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Magnetospheric pulsations and the mechanisms underlying their generation are topics under active studies. The Pc5 (f =1.7�6.7 mHz) geomagnetic continuous pulsations, recorded at mid latitudes (L =1.6) during December 2019, with a low level of geomagnetic activity, are analyzed and discussed in this paper. The data sets of the series on geomagnetic field variations recorded at Panagjuriste Geomagnetic Observatory in Bulgaria are analyzed. The spectral characteristics of the pulsations were determined by Continuous Wavelet Analysis (CWT). It is demonstrated that Pc5 pulsation activity appears with all ranges of periods (140-600s) on December 6, 8, and 18, 2019, at time intervals of 02-17 UTC, 14-20 UTC, and 00-16 UTC, respectively. Then, the solar wind (SW) plasma speed, the flow dynamic pressure, and the geomagnetic index Kp are computed for every case of recorded Pc5 pulsations. It is suggested that recorded continuous pulsations in the Pc5 range are due to step-like or sudden increases in solar wind oscillations and variations of the flow dynamic pressure, which precede the appearance of pulsations and drive compressional magnetic field variations in the magnetosphere.
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Koryakin, Dmitry. "Correction of Geomagnetic Field Variations in Marine Magnetic Surveys Using Observatory and Model Geomagnetic Data." In II PAN AMERICAN WORKSHOP ON GEOMAGNETISM – II PANGEO. Recife, Brazil: Even3, 2018. http://dx.doi.org/10.29327/2pangeo.a5.

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Delipetrov, Todor. "GEOMAGNETIC FIELD AND SECULAR VARIATIONS OF THE ASTRONOMICAL PARAMETARS." In 13th SGEM GeoConference on SCIENCE AND TECHNOLOGIES IN GEOLOGY, EXPLORATION AND MINING. Stef92 Technology, 2013. http://dx.doi.org/10.5593/sgem2013/ba1.v2/s05.010.

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Reports on the topic "Geomagnetic variations"

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Nikitina, L., and L. Trichtchenko. Extreme values statistical assessment for geomagnetic and geoelectric field variations for Alberta. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2015. http://dx.doi.org/10.4095/296956.

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Kleimenova, Natalia G., A. Odzimek, S. Michnowski, and M. Kubicki. Geomagnetic Storms and Substorms as Space Weather I nfluence on Atmospheric Electric Field Variations. Balkan, Black Sea and Caspian Sea Regional Network on Space Weather Studies, November 2018. http://dx.doi.org/10.31401/sungeo.2018.01.14.

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Crooker, N. U., E. W. Cliver, and B. T. Tsurutani. The Semiannual Variation of Great Geomagnetic Storms and the Postshock Russell-McPherron Effect Preceding Coronal Mass Ejecta. Fort Belvoir, VA: Defense Technical Information Center, March 1992. http://dx.doi.org/10.21236/ada254955.

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Onovughe, Elvis. Usage of RC index as a Good Representation for Characterising Rapid Variation Signals in Geomagnetic Field Studiess. Balkan, Black sea and Caspian sea Regional Network for Space Weather Studies, April 2018. http://dx.doi.org/10.31401/sungeo.2018.01.11.

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BARKHATOV, NIKOLAY, and SERGEY REVUNOV. A software-computational neural network tool for predicting the electromagnetic state of the polar magnetosphere, taking into account the process that simulates its slow loading by the kinetic energy of the solar wind. SIB-Expertise, December 2021. http://dx.doi.org/10.12731/er0519.07122021.

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The auroral activity indices AU, AL, AE, introduced into geophysics at the beginning of the space era, although they have certain drawbacks, are still widely used to monitor geomagnetic activity at high latitudes. The AU index reflects the intensity of the eastern electric jet, while the AL index is determined by the intensity of the western electric jet. There are many regression relationships linking the indices of magnetic activity with a wide range of phenomena observed in the Earth's magnetosphere and atmosphere. These relationships determine the importance of monitoring and predicting geomagnetic activity for research in various areas of solar-terrestrial physics. The most dramatic phenomena in the magnetosphere and high-latitude ionosphere occur during periods of magnetospheric substorms, a sensitive indicator of which is the time variation and value of the AL index. Currently, AL index forecasting is carried out by various methods using both dynamic systems and artificial intelligence. Forecasting is based on the close relationship between the state of the magnetosphere and the parameters of the solar wind and the interplanetary magnetic field (IMF). This application proposes an algorithm for describing the process of substorm formation using an instrument in the form of an Elman-type ANN by reconstructing the AL index using the dynamics of the new integral parameter we introduced. The use of an integral parameter at the input of the ANN makes it possible to simulate the structure and intellectual properties of the biological nervous system, since in this way an additional realization of the memory of the prehistory of the modeled process is provided.
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