Abstract
To understand dynamics of regional environment properly and perform its assessment on the basis of monitoring and modelling, an information-computational infrastructure is required. Management of multidisciplinary environmental data coming from large regions requires new data management structures and approaches. In this chapter on the basis of an analysis of interrelations between complex (integrated) environment studies in large regions and modern information-computational technologies major general properties of distributed information-computational infrastructure required to support planned investigations of environmental changes in Siberia in the Siberia Integrated Regional Study (SIRS) are discussed. SIRS is a Northern Eurasia Earth Science Partnership Initiative (NEESPI) mega-project co-ordinating national and international activity in the region in line with an Earth System Science Program (ESSP) approach. The infrastructure developed in cooperation of Russian Academy of Science (Siberian Branch) specialists with their European and American partners/counterparts is aimed at supporting multidisciplinary and “distributed” teams of specialists performing cooperative work with tools for exchange and sharing of data, models and knowledge optimizing the usage of information-computational resources, services and applications. Recently developed key elements of the SIRS infrastructure are described in details. Among those are the Climate site of the environmental web portal ATMOS (http://climate.atmos.iao.ru) providing an access to climatic and mesoscale meteorological models and the Climate site of the Enviro-RISKS web portal (http://climate.risks.scert.ru/), providing an access to interactive web-system for regional climate assessment on the base of standard meteorological data archives. As an example of the system usage recent dynamics of some regional climatic characteristics are analyzed.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Alekseev VA, Volodin EM, VYa G, Dymnikov VP, Lykosov VN (1998) Modern climate modelling on the base of INM RAS atmospheric model. VINITI, Moscow
Baklanov A, Gordov EP (2006) Man-induced environmental risks: Monitoring, management and remediation of man-made changes in Siberia. Comput Technol 11:162–171
Belikov DA, Starchenko AV (2005) An investigation of secondary pollutants formation (ozone) in the atmosphere of Tomsk. J Atmos Oceanic Optics 18(05–06):391–398
Bulletin of the Russian National Committee for the International Geosphere Biosphere Programme (2005), In: Vaganov et al. First steps on development of Integrated Regional Study of Siberian environment. 4:4–10
De Roure D, Jennings N, Shadbolt N (2001) A Future e-Science Infrastructure. Report commissioned for EPSRC/DTI Core e-Science Programme
Dudhia J (1993) A nonhydrostatic version of the Penn State/NCAR mesoscale model: Validation tests and simulation of an Atlantic cyclone and cold front. Mon Weather Rev 121(5):1493–1513
Fazliev AZ, Privezentsev AI (2007) Applied task ontology for the systematization of informational resources in molecular spectroscopy. In: Proceedings of the Russian Conference on digital libraries: Perspective methods and technologies, Pereyaslavl, Russia, 15–18 Oct 2007
Fedotov AM, Artyomov IA, Ermakov NB, Krasnikov AA, Potyomkin ON, Ryabko BY, Fedotov AA, Khorev AG (1998) Electronic atlas ‘Biological variety of the Siberian flora’. Comput Technol 3(5):68–78
Gordov EP (2004a) Computational and information technologies for environmental sciences. Comput Technol 9(1):3–10
Gordov EP (2004b) Modern tendencies in regional environmental studies. Geogr Nat Resour Special Issue:11–18
Gordov EP, Begni G (2005) Siberia integrated regional study development. Comput Technol 10(2):149–155
Gordov EP, De Rudder A, Lykosov VN, Fazliev AZ, Fedra K (2004) Web-portal ATMOS as basis for integrated investigations of Siberia environment. Comput Technol 9(2):3–13
Gordov EP, Lykosov VN, Fazliev AZ (2006a) Web portal on environmental sciences “ATMOS”. Adv Geosci 8:33–38
Gordov EP, Begni G, Heiman M, Kabanov MV, Lykossov VN, Shvidenko AZ, Vaganov EA (2006b) Siberia integrated regional study as a basis for international scientific cooperation. Comput Technol 11:16–28
IGBP Newsletter No. 50 (June 2002) IGBP II – Special edition issue, Global Change Newsl 50:1–3
IGBP Newsletter No. 55 (October 2003), In: Brasseur G. 3rd IGBP Congress overview. Global Change Newsl 55:2–4
Ippolitov II, Kabanov MV, Komarov AI, Kuskov AI (2004) Patterns of modern natural-climatic changes in Siberia: Observed changes of annual temperature and pressure. Geogr Nat Resour 3:90–96
Lavrentiev NA, Starchenko AV, Fazliev AZ (2006) Informatsionno-vychislitelnaya sistema dlya kollektivnogo issledovaniya problem atmosfernogo prigranichnogo sloya (Information-computational system for collective research of atmospheric boundary layer). Computat Technol 11:73–79
Melnikova VN, Shulgina TM, Titov AG (2007) Statistical analysis of meteorological data of NCEP/NCAR Reanalysis 1 and Reanalysis 2 for West Siberia. Program and abstracts of international conference CITES-2007. Publishing house of Tomsk CSTI, Tomsk, p 21
Okladnikov IG, Titov AG (2006) Web-system for processing and visualization of meteorological data. In: Gordov EP (ed) Environmental observations, modeling and information systems. Publishing house of Tomsk CSTI, Tomsk, p 42
Parson M, Barry R (2006) Interdisciplinary data management in support of the international polar year. EOS 87(30):295
Shokin YI, Fedotov AM (2003) Integration of informational and telecommunicational resources of Siberian Branch of RAS. Comput Technol 8(Special issue):161–171
TORQUE Resource Manager. http://www.clusterresources.com/pages/products/torque-resource-manager.php. Cited 19 Sept 2007
Van der Aalst (2004) Business process management demystified: A tutorial on models, systems and standards for workflow management. In: Desel J, Reizig W,Rozenberg G (eds) Lectures on concurrency and Petri nets. Springer, Berlin, Heidelberg, New York, pp 1–65
Volodin EM, Dianskii NA (2003) Response of a coupled atmosphere–ocean general circulation model to increased carbon dioxide. Izvestiya, Atmos Ocean Phys 239:170–186
Weather Research and Forecasting Model. http://www.wrf-model.org. Cited 19 Sept 2007
Acknowledgments
A support of a number of national and international projects coordinated by the authors is appreciated, especially acknowledged is partial support of SB RAS Basic Research Program 4.5.2 (Project 2) and Integrated Projects 34 and 86. FP6 EC Projects ENVIROMIS-2 (INCO-CT-2006- 031303) and Enviro-RISKS (INCO-CT-2005- 013427) as well as RFBR grants 05-05-98010, 04-07-90219,06-07-89201 and 07-05-00200.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer Science+Business Media B.V.
About this chapter
Cite this chapter
Gordov, E.P., Fazliev, A.Z., Lykosov, V.N., Okladnikov, I.G., Titov, A.G. (2010). Development of a Web-Based Information-Computational Infrastructure for the Siberia Integrated Regional Study. In: Balzter, H. (eds) Environmental Change in Siberia. Advances in Global Change Research, vol 40. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-8641-9_14
Download citation
DOI: https://doi.org/10.1007/978-90-481-8641-9_14
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-8640-2
Online ISBN: 978-90-481-8641-9
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)