Knowledge base on the parameters of cryolithic zone located in-between rivers Ob' and Enisei

A. V. Starchenko; A. A. Bart; A. I. Privezentsev; A. Z. Fazliev

doi:10.1117/12.2504747

13 December 2018 Knowledge base on the parameters of cryolithic zone located in-between rivers Ob' and Enisei

A. V. Starchenko, A. A. Bart, A. I. Privezentsev, A. Z. Fazliev

Proceedings Volume 10833, 24th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics; 108330Q (2018) https://doi.org/10.1117/12.2504747
Event: XXIV International Symposium, Atmospheric and Ocean Optics, Atmospheric Physics, 2018, Tomsk, Russian Federation

Abstract

A prototype of an information computer system for decision making support is described. The system is based on a simple 1D model of non-stationary thermal conductivity for the calculation of detailed temperature profiles from the permafrost depth. Numerical forecast data on the temperature near the Earth's surface from the databank of IMCES SB RAS are used as boundary conditions. An approach to the correct choice of climatic and meteorological quantities from the databank during the solution of applied climatic problems is considered separately. Incorrectness is due to semantic uncertainty, both of data in the databank and in the intensional of input data required for solution of applied problems. For this choice, we suggested to use the formalized taxonomy of WMO meteorological parameters in the form of OWLontology. A version of this ontology is presented, which is used for the work with the databank of IMCES SB RAS and solution of a number of some applied problems. Output data (numerical simulation results) are represented in the information computer system in the form of an ontological knowledge base, used for the decision making support.

Citation Download Citation

A. V. Starchenko, A. A. Bart, A. I. Privezentsev, and A. Z. Fazliev "Knowledge base on the parameters of cryolithic zone located in-between rivers Ob' and Enisei", Proc. SPIE 10833, 24th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 108330Q (13 December 2018); https://doi.org/10.1117/12.2504747

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KEYWORDS

Data modeling

Climatology

Meteorology

Atmospheric modeling

Mathematical modeling

Computing systems

Climate change

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