Virtual Research Environment for Regional Climatic Processes Analysis: Ontological Approach to Spatial Data Systematization

his paper describes a Virtual Research Environment (VRE) based on a web GIS platform ‘Climate+’, which provides an access to analytic instruments processing 19 collections of meteorological and climate data of several international organizations. This environment provides systematization of spatial data and related climate information and allows a user getting analysis results using geoinformation technologies. The ontology approach to this systematization is described, making it possible to match semantics of meteorological and climate parameters presented in different collections and used in solving various applied problems

Ontology for Water Spectroscopy Information Resources

The ontology of the problems solution properties related to the water spectroscopy is described. These solutions were published in more than 600 articles during the last 50 years and are related to six typical molecular spectroscopy problems. The properties and their values characterizing solutions validity, root-mean-square deviations were represented as individuals of OWL-ontology. The results of selection rules verification in primary data sources are presented

Computed knowledge base for description of information resources of water spectroscopy

We develop the addition to the W@DIS information system that allows one to load solutions of the quantitative spectroscopy problems. These solutions are supplied with calculated semantic annotations that characterise properties of the solutions. In addition to the typical properties (e.g. represented in Dublin Core) the solution reliability properties are also determined. Every solution is represented in a knowledge base as an individual of the quantitative spectroscopy ontology, which contains more that 106 axioms. In the paper we present the knowledge base structure and describe two classes of the information sources classification tasks, together with the solutions using querying OWL ontologies

Virtual research environment for regional climatic processes analysis: ontological approach to spatial data systematization

This paper describes a Virtual Research Environment (VRE) based on a web GIS platform ‘Climate+’, which provides an access to analytic instruments processing 19 collections of meteorological and climate data of several international organizations. This environment provides systematization of spatial data and related climate information and allows a user getting analysis results using geoinformation technologies. The ontology approach to this systematization is described, making it possible to match semantics of meteorological and climate parameters presented in different collectionjavascript:void(0);s and used in solving various applied problems

Ontological description of applied tasks and related meteorological and climate data collections

The use of the OWL-ontology of climate information resources on the web-GIS of the Institute of Monitoring of Climatic and Ecological Systems, Siberian Branch, Russian Academy of Sciences (IMCES SB RAS) for building an A-box of knowledge base used in an intelligent decision support system (IDSS) is considered in this work. A mathematical model is described, which is used for solution of the task of water freezing and ice melting on the Ob’ river. An example is given of the reduction problem solution with ontological description of the related input and output data of the task

Ontological description of applied tasks and related meteorological and climate data collections

The use of the OWL-ontology of climate information resources on the web-GIS of the Institute of Monitoring of Climatic and Ecological Systems, Siberian Branch, Russian Academy of Sciences (IMCES SB RAS) for building an A-box of knowledge base used in an intelligent decision support system (IDSS) is considered in this work. A mathematical model is described, which is used for solution of the task of water freezing and ice melting on the Ob’ river. An example is given of the reduction problem solution with ontological description of the related input and output data of the task

Modelling system for short-term forecast of weather and air quality above a city

For monitoring and short-term forecasting of the meteorological situation and atmospheric air quality near settlements, transport hubs and industrial facilities, the Meteo+ automated computing system is proposed, based on a mathematical model of the atmospheric boundary layer and an effective numerical method focused on the use of supercomputers. The mathematical model includes an impurity transport model with a reduced chemical mechanism and a non-hydrostatic mesoscale meteorological model with a modern moisture microphysics parameterization scheme. Examples of the successful application of the developed automated computing system in the numerical prediction of surface air quality deterioration in light winds and temperature inversions, as well as in the prediction of such dangerous weather phenomena as wind gusts are given