Evgeny Gordov | Tomsk State University (original) (raw)
Papers by Evgeny Gordov
Russian Meteorology and Hydrology, Nov 1, 2018
The activities on the creation of information-computational infrastructure to support the climati... more The activities on the creation of information-computational infrastructure to support the climatic research initiated by academician V.P. Dymnikov are described. In particular, the solutions to the problem of working with big climatic and meteorological datasets are analyzed. The structure and functionality are presetned of the thematic web-GIS "Climate" whose software-hardware prototype operates at the Institute of Monitoring of Climatic and Ecological Systems of Siberian Branch of Russian Academy of Sciences. The system supports the interactive analysis of big climatic and meteorological datasets and the visualization of its results. The results of the analysis of aridity in South Siberia in the late 20th-early 21st centuries carried out using the web-GIS "Climate" prototype are presented.
Russian Physics Journal, Aug 1, 2016
Readers are offered a brief review of sample results obtained from spectroscopic investigations b... more Readers are offered a brief review of sample results obtained from spectroscopic investigations begun in
Conference on Lasers and Electro-Optics Europe
SPIE Proceedings, 1999
Reported is the description and current state of the project `Information-Computational System `I... more Reported is the description and current state of the project `Information-Computational System `Integrated Model of Atmospheric Optics'. The system will incorporate the sets of data of the atmosphere, compiled during laboratory and field measurements conducted at the Institute of Atmospheric Optics experimental and theoretical models developed for forecasting and calculation of the latter. At the first stage the Integrated model
22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 2016
Presented is a recently started Russian Science Foundation project “Virtual computational informa... more Presented is a recently started Russian Science Foundation project “Virtual computational information environment for analysis, evaluation and prediction of the impacts of global climate change on the environment and climate of a selected region” aimed at development of accessible in Internet a computation and information environment providing unskilled in numerical modeling and software design specialists, decision-makers and stakeholders with reliable and easily used tools for in-depth statistical analysis of climatic characteristics, and instruments for detailed analysis, assessment and prediction of impacts of global climate change on the environment and climate of the targeted region. Two actively discussed nowadays problems are addressed by the project. The first one is a development of an environment in which scientists from different disciplines, stakeholders and decision makers, regardless of their geographical position, can freely access various data resources and processing services through a Web browser. Since progress in development of so called virtual research environment is based on information-computational technologies it will be discussed in this paper in more details. The second problem belongs to basic and applied climatology and will be discussed here rather briefly. It is a provision of interested parties with detailed climatic and ecological characteristics of targeted region and tools allowing get scientifically solid data necessary for the study of regional economic, political and social consequences of global climate change.
EGU General Assembly Conference Abstracts, Apr 1, 2017
EGUGA, Apr 1, 2016
We present an approach and first results of a collaborative project being carried out by a joint ... more We present an approach and first results of a collaborative project being carried out by a joint team of researchers from the
IOP Conference Series: Earth and Environmental Science, 2016
Modern global climate changes are characterized by a significant warming started in the late 1970... more Modern global climate changes are characterized by a significant warming started in the late 1970s. According to the observation data, the average rate of warming in Russia for 1976-2012 was 0.43 °C/10 years. Additionally, the trend of annual precipitation for the same period in most parts of Russia is positive. To study the integral climate characteristics of a region, in particular, hydrothermal conditions, is of great interest. A new software module for the assessment of aridity was developed and added to an information and computing web system called "Climate". The well-known hydrothermal coefficient of Selyaninov (HTC) was used with ECMWF ERA Interim reanalysis data for the period from 1979 to 2010. The input data (precipitation, temperature, HTC) were validated using observation data from weather stations. It was found that the ERA Interim data substantially (by 50%) underestimated the measured precipitation in the study region. The precipitation was corrected by the results. New spatially distributed precipitation and HTC data were obtained. The web system "Climate" is based on web and GIS techniques and is part of a hardware and software complex for "cloud" analysis of climatic data. It includes several climatological and meteorological datasets, as well as dedicated software modules for searching, selection, extraction, and visualization of data.
AGU Fall Meeting 2020, Dec 11, 2020
IOP Conference Series: Earth and Environmental Science, 2018
The architecture and basic elements of an information and computing software complex for processi... more The architecture and basic elements of an information and computing software complex for processing and statistical analysis of spatial geophysical data archives are discussed. The basic elements of this complex are now represented by several software procedures for searching, selecting, and preprocessing of spatial data arrays, and some components of a geoportal and a graphical user interface. The modular structure of the computational backend of this software complex and the metadata database provide easy extension of complex's functionality. This ability has been used for the integration of some advanced procedures for mathematical and statistical analysis, processing and graphical representation of the results in the form of graphs, diagrams, and fields on a map of the territory of interest in this software complex.
Japan Geoscience Union, 2017
Environmental, socio-economic and climatic changes in Northern Eurasia convener:Pavel Groisman(NC... more Environmental, socio-economic and climatic changes in Northern Eurasia convener:Pavel Groisman(NC State University Research Scholar at NOAA National Centers for Environmental Information, Asheville, North Carolina, USA), Erwan Monier(Massachusetts Institute of Technology), Shamil Maksyutov Tue. May 22, 2018 5:15 PM 6:30 PM Poster Hall (International Exhibition Hall7, Makuhari Messe) We invite presentations on the biogeochemical and hydrological cycles, climate and ecosystem interactions in Northern Eurasia (land-cover and land-use change, atmospheric aerosols, soil, and permafrost changes that affect and are being affected by human activity, climate and ecosystem change), human dimension, and tools to address the Northern Eurasia studies.
IOP Conference Series: Earth and Environmental Science, 2019
Data Science Journal, 2018
This paper describes a Virtual Research Environment (VRE) based on a web GIS platform ' Climate+'... more 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 collections and used in solving various applied problems.
Russian Meteorology and Hydrology, Nov 1, 2018
The activities on the creation of information-computational infrastructure to support the climati... more The activities on the creation of information-computational infrastructure to support the climatic research initiated by academician V.P. Dymnikov are described. In particular, the solutions to the problem of working with big climatic and meteorological datasets are analyzed. The structure and functionality are presetned of the thematic web-GIS "Climate" whose software-hardware prototype operates at the Institute of Monitoring of Climatic and Ecological Systems of Siberian Branch of Russian Academy of Sciences. The system supports the interactive analysis of big climatic and meteorological datasets and the visualization of its results. The results of the analysis of aridity in South Siberia in the late 20th-early 21st centuries carried out using the web-GIS "Climate" prototype are presented.
Russian Physics Journal, Aug 1, 2016
Readers are offered a brief review of sample results obtained from spectroscopic investigations b... more Readers are offered a brief review of sample results obtained from spectroscopic investigations begun in
Conference on Lasers and Electro-Optics Europe
SPIE Proceedings, 1999
Reported is the description and current state of the project `Information-Computational System `I... more Reported is the description and current state of the project `Information-Computational System `Integrated Model of Atmospheric Optics'. The system will incorporate the sets of data of the atmosphere, compiled during laboratory and field measurements conducted at the Institute of Atmospheric Optics experimental and theoretical models developed for forecasting and calculation of the latter. At the first stage the Integrated model
22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 2016
Presented is a recently started Russian Science Foundation project “Virtual computational informa... more Presented is a recently started Russian Science Foundation project “Virtual computational information environment for analysis, evaluation and prediction of the impacts of global climate change on the environment and climate of a selected region” aimed at development of accessible in Internet a computation and information environment providing unskilled in numerical modeling and software design specialists, decision-makers and stakeholders with reliable and easily used tools for in-depth statistical analysis of climatic characteristics, and instruments for detailed analysis, assessment and prediction of impacts of global climate change on the environment and climate of the targeted region. Two actively discussed nowadays problems are addressed by the project. The first one is a development of an environment in which scientists from different disciplines, stakeholders and decision makers, regardless of their geographical position, can freely access various data resources and processing services through a Web browser. Since progress in development of so called virtual research environment is based on information-computational technologies it will be discussed in this paper in more details. The second problem belongs to basic and applied climatology and will be discussed here rather briefly. It is a provision of interested parties with detailed climatic and ecological characteristics of targeted region and tools allowing get scientifically solid data necessary for the study of regional economic, political and social consequences of global climate change.
EGU General Assembly Conference Abstracts, Apr 1, 2017
EGUGA, Apr 1, 2016
We present an approach and first results of a collaborative project being carried out by a joint ... more We present an approach and first results of a collaborative project being carried out by a joint team of researchers from the
IOP Conference Series: Earth and Environmental Science, 2016
Modern global climate changes are characterized by a significant warming started in the late 1970... more Modern global climate changes are characterized by a significant warming started in the late 1970s. According to the observation data, the average rate of warming in Russia for 1976-2012 was 0.43 °C/10 years. Additionally, the trend of annual precipitation for the same period in most parts of Russia is positive. To study the integral climate characteristics of a region, in particular, hydrothermal conditions, is of great interest. A new software module for the assessment of aridity was developed and added to an information and computing web system called "Climate". The well-known hydrothermal coefficient of Selyaninov (HTC) was used with ECMWF ERA Interim reanalysis data for the period from 1979 to 2010. The input data (precipitation, temperature, HTC) were validated using observation data from weather stations. It was found that the ERA Interim data substantially (by 50%) underestimated the measured precipitation in the study region. The precipitation was corrected by the results. New spatially distributed precipitation and HTC data were obtained. The web system "Climate" is based on web and GIS techniques and is part of a hardware and software complex for "cloud" analysis of climatic data. It includes several climatological and meteorological datasets, as well as dedicated software modules for searching, selection, extraction, and visualization of data.
AGU Fall Meeting 2020, Dec 11, 2020
IOP Conference Series: Earth and Environmental Science, 2018
The architecture and basic elements of an information and computing software complex for processi... more The architecture and basic elements of an information and computing software complex for processing and statistical analysis of spatial geophysical data archives are discussed. The basic elements of this complex are now represented by several software procedures for searching, selecting, and preprocessing of spatial data arrays, and some components of a geoportal and a graphical user interface. The modular structure of the computational backend of this software complex and the metadata database provide easy extension of complex's functionality. This ability has been used for the integration of some advanced procedures for mathematical and statistical analysis, processing and graphical representation of the results in the form of graphs, diagrams, and fields on a map of the territory of interest in this software complex.
Japan Geoscience Union, 2017
Environmental, socio-economic and climatic changes in Northern Eurasia convener:Pavel Groisman(NC... more Environmental, socio-economic and climatic changes in Northern Eurasia convener:Pavel Groisman(NC State University Research Scholar at NOAA National Centers for Environmental Information, Asheville, North Carolina, USA), Erwan Monier(Massachusetts Institute of Technology), Shamil Maksyutov Tue. May 22, 2018 5:15 PM 6:30 PM Poster Hall (International Exhibition Hall7, Makuhari Messe) We invite presentations on the biogeochemical and hydrological cycles, climate and ecosystem interactions in Northern Eurasia (land-cover and land-use change, atmospheric aerosols, soil, and permafrost changes that affect and are being affected by human activity, climate and ecosystem change), human dimension, and tools to address the Northern Eurasia studies.
IOP Conference Series: Earth and Environmental Science, 2019
Data Science Journal, 2018
This paper describes a Virtual Research Environment (VRE) based on a web GIS platform ' Climate+'... more 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 collections and used in solving various applied problems.