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A. A. Soloviev R. V. Sidorov R. I. Krasnoperov A. A. Grudnev A. V. Khokhlov 《Geomagnetism and Aeronomy》2016,56(3):342-354
In 2011 Geophysical Center RAS (GC RAS) began to deploy the Klimovskaya geomagnetic observatory in the south of Arkhangelsk region on the territory of the Institute of Physiology of Natural Adaptations, Ural Branch, Russian Academy of Sciences (IPNA UB RAS). The construction works followed the complex of preparatory measures taken in order to confirm that the observatory can be constructed on this territory and to select the optimal configuration of observatory structures. The observatory equipping stages are described in detail, the technological and design solutions are described, and the first results of the registered data quality control are presented. It has been concluded that Klimovskaya observatory can be included in INTERMAGNET network. The observatory can be used to monitor and estimate geomagnetic activity, because it is located at high latitudes and provides data in a timely manner to the scientific community via the web-site of the Russian–Ukrainian Geomagnetic Data Center. The role of ground observatories such as Klimovskaya remains critical for long-term observations of secular variation and for complex monitoring of the geomagnetic field in combination with low-orbiting satellite data. 相似文献
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Gvishiani A. D. Kaftan V. I. Krasnoperov R. I. Tatarinov V. N. Vavilin E. V. 《Izvestiya Physics of the Solid Earth》2019,55(1):33-49
Izvestiya, Physics of the Solid Earth - The application of geoinformatics and systems analysis methods for processing and interpreting geospatial data in geophysics and geodynamics is considered.... 相似文献
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B. A. Dzeboev S. M. Agayan Yu. I. Zharkikh R. I. Krasnoperov Yu. V. Barykina 《Izvestiya Physics of the Solid Earth》2018,54(2):284-291
The paper continues the series of our works on recognizing the areas prone to the strongest, strong, and significant earthquakes with the use of the Formalized Clustering And Zoning (FCAZ) intellectual clustering system. We recognized the zones prone to the probable emergence of epicenters of the strongest (M ≥ 74/3) earthquakes on the Pacific Coast of Kamchatka. The FCAZ-zones are compared to the zones that were recognized in 1984 by the classical recognition method for Earthquake-Prone Areas (EPA) by transferring the criteria of high seismicity from the Andes mountain belt to the territory of Kamchatka. The FCAZ recognition was carried out with two-dimensional and three-dimensional objects of recognition. 相似文献
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