Monitoring and Predictive Estimations of Atmospheric Parameters in the Catchment Area of Lake Baikal
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The paper is concerned with a methodological approach to monitoring the state of atmospheric parameters in the catchment area of Lake Baikal, including real-time analysis of actual distributed data with the determination of analog years according to the preset proximity of comparative indicators and the most probable long-term predictive distributions of surface temperatures, precipitation, pressure, and geopotential with a lead time of up to 9–12 months. We have developed the information-analytical system GeoGIPSAR to conduct the real-time analysis of spatial and point data by various processing methods and obtain long-term prognostic estimates of water inflow into the lake.
2012 ◽
Vol 590
(5)
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pp. 1085-1091
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2017 ◽
Vol 28
(2)
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pp. 249-256
2010 ◽
Vol 66
(6)
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pp. 1064-1073
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An Interactive Minicomputer Program for the Indexing and Simulation of Electron Diffraction Patterns
1976 ◽
Vol 34
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pp. 542-543
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One Step
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2017 ◽
Vol 34
(1)
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pp. 75
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2020 ◽
Vol 67
(4)
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pp. 1197-1205
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