Information Infrastructure to support interdisciplinary environmental studies of Siberia E. P. Gordov Siberian Center for Environmental research and Training and Institute of Monitoring of Climatic and Ecological Systems SB RAS A.M. Fedotov Institute of Computational Technologies SB RAS N.A. Kolchanov Institute of Cytology and Genetics SB RAS

Siberia environment reaction on Global Change as well as its possible influence on operation of the whole Earth system is one of hot topics nowadays. A number of national and international projects devoted to different aspects of this theme are performed now. These projects involve multidisciplinary teams located in different geographic places. Significant input into understanding of dynamics of Siberia environment is getting from Interdisciplinary integrated projects funded by SB RAS. Both basic and applied environmental researches in this area require and produce a lot of environmental data and badly need in their handling. Till now not all of gathered data are properly structured and organized. Also an access to this kind of data is not formalized yet. That is why recently SB RAS has initiated development of consisted environmental data policy.

In this paper we describe the state of the art with environmental information resources in SB RAS with special emphasis on developed information system on biodiversity ( ) and web portal on atmospheric and environmental sciences ATMOS ( and ) and provide details on the adopted strategy and the first steps chosen for its execution realization. In particular the dedicated centers aimed at support, handling and dissemination of thematic environmental data and chosen to this end IT tools will be presented as well as plans for development of relevant metadata databases.

OUTLINE 1.Scientific and IT background 2.The state of the art 3.SB RAS information resources (examples) Electronic atlas Biodiversity Web portal on environmental sciences ATMOS SB RAS virtual museum of science and tecnology Web site of the Siberia Geosphere-Biosphere Program 4. SB RAS concept on environmental data handling, storage and access 5.Dedicated environmental data Centers Conclusion/Hopes

1.Scientific and IT background Environmental Sciences and IT Environmental sciences are becoming quantitative sciences now Three direction: New instrumentation Physical/Mathematical/Numerical modeling Structuring and organization of available information into information and information-computational systems Computational and informational technologies are instrument for environment researches and form their infrastructure

a new global infrastructure the Grid is an emergent infrastructure to deliver dependable, pervasive and uniform access to globally distributed, dynamic and heterogeneous resources the Grid is an emergent infrastructure to deliver dependable, pervasive and uniform access to globally distributed, dynamic and heterogeneous resources problems of scalability, interoperability, fault tolerance, resource management and security problems of scalability, interoperability, fault tolerance, resource management and security sensor nets data archives computers software colleagues instruments information on demand - like power from a socket information on demand - like power from a socket

The Grid The Semantic Web Resource sharing & coordinated problem solving in dynamic, multi-institutional virtual organizations Resource sharing & coordinated problem solving in dynamic, multi-institutional virtual organizations

Интернет технологии GRID Semantic Web sensor nets data archives computers software colleagues instruments IT background

Alaska Synthetic Aperture Radar (SAR) Facility (ASF) DAAC Polar processes and SAR products EROS Data Center (EDC) Land Processes DAAC Land processes Goddard Space Flight Center (GSFC) DAAC Upper atmosphere, global biosphere, atmospheric dynamics, and geophysics Jet Propulsion Laboratory (JPL) DAAC Physical Oceanography (PO-DAAC) Physical oceanography Langley Research Center (LaRC) DAAC Radiation budget, tropospheric chemistry, clouds, and aerosols National Snow and Ice Data Center (NSIDC) DAAC Snow and ice, cryosphere (non-SAR) and climate … The state of the art Airborne Antarctic Ozone Experiment (AAOE-87), Airborne Arctic Stratospheric Expedition (AASE), Airborne Arctic Stratospheric Expedition II (AASE II), Airborne Southern Hemisphere Ozone Experiment (ASHOE), Along Track Scanning Radiometer (ATSR-I), Atmospheric Chemistry studies in the Ocean Environment (ACSOE), Climatology Interdisciplinary Data Collection (CIDC), …. DAAC

Community Data Portal (CDP)

Earth System Grid ( 1 Географическое расположение и сферы ответственности организаций в проекте ESG- 1

The state of the art in SB RAS There are examples of matured environmental Information systems. There is involvement into large Projects on development of distributed information and computational environment ( Meta- DataGrid, GLORIAD), HOWEVER Privatization of data by groups of investigators Old traditions and technologies of data storage and lack of legal norms for data exchange.

Electronic atlas Biodiversity Web portal on environmental sciences ATMOS SB RAS virtual museum of science and tecnology Web site of the Siberia Geosphere-Biosphere Program SB RAS information resources (examples)

Electronic atlas Biodiversity Dynamic system of electronic publications

Information structure (metadata) of document in the e- library Vegetation communities of Northern Eurasia Название типа Название типа растительности Название класса Название класса растительности Эколого-географическое название единицы Название единицы, содержащее признаки экологии и географии Синонимика Известные синонимы данного типа Порядки Подчиненные синтаксономические единицы Характерные виды класса Виды ответственные за диагноз данной единицы, связь с базой данных Электронный каталог растений Сибири Дифференциальные виды Диагностические виды Установленный географический ареал Текстовое описание установленного ареала единицы Карта-схема ареала Связь с базой данных ареалов растительных сообществ Экологическая характеристика Текстовая характеристика местообитания сообщества Климатические особенности Текстовая характеристика климата на ареале сообщества Поясно-зональная приуроченность и условия экотопов Приуроченность сообщества к определенной зоне, подзоне, поясу Фитоценотическая характеристика Поле-заголовок Характеристика древесного яруса Текстовая характеристика древесного яруса Особенности древесного яруса Связь с таблицей таксационных показателей Характеристика кустарникового яруса Текстовая характеристика кустарникового яруса Характеристика травяного яруса Текстовая характеристика травяного яруса Характеристика мохового яруса Текстовая характеристика мохового яруса Сукцессионные связи Текстовая характеристика особенностей динамики сообщества Особенности состава ценофлоры Связь с базой данных показателей флористического разнообразия Природоохранная информация Связь с базой данных природоохранной значимости сообществ Литературные источники по синтаксономии Связь с базой данных литературных источников Автор Связь в базой данных авторов документов электронной библиотеки Class name Diagnistical types Map of areal

ATMOS starting page Web portal on environmental sciences ATMOS

Gelio-Geophysical Measuring Data in Siberia

Gelio-Geophysical Measuring Data in Siberia

Atmospheric Chemistry

Dynamics of the ozone concentration Phase portrait of the Chapman cycle

Atmospheric Radiation Atmospheric spectroscopy CO 2 absorption coefficient in 4,3 mkm domain

Atmospheric Dynamics GCM INM RAS, Parallel version, grid: 2° (lat.) x 2,5 ° (long.), to calculate 3 model months 20 nodes cluster needs in 24 hours.

SB RAS virtual museum of science and tecnology Distributed system of metadata exchange to support access to documents on SB RAS history Novosibirsk, Tomsk, Krasnoyarsk, Irkutsk and Yakutsk SB RAS Scientific Centers

Web site of the Siberia Geosphere-Biosphere Program Activity of 20 research organizations within the Project is coordinated via the project site ( Access to metadata on results of measurements/observations Is developing now.

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The project intranet as a tool for data and information resources sharing

Новосибирск Омск Тюмень Барнаул Томск Кемерово Красноярск Якутск Иркутск Улан-Уде Чита Russian Academy of Sciences Siberian Branch Telecommunication infrastructure of SB RAS GLORIAD 155 Mbps Moscow-RAS 45 Mbps SB RAS LAN 2-10 Mbps Rostelecom and TransTelecom channels are rented

Центр сети СО РАН Akademgorodok 1 Gbps backbone LANs of Institutes NSU LAN LAN for supercomputers Moscow & GLORIAD NSK-IX Novosibirsk-EDU SB RAMS and SB RAAS SSC Vector» Logical structure SB RAS Scientific Centers

OBJECTIVES To develop of corporative information-computational system as distributed information infrastructure (instrument) of regional environment study To elaborate relevant standards for data formats, storage and access The system should be accessible via Internet and be open for SB RAS researchers, providing them with environmental data, models and relevant information resources It should be integrated into national and international environmental information resources. SB RAS concept on environmental data handling, storage and access

SB RAS Designated Data Centres It is planned that SB RAS delegates responsibility for its environmental data, and implementation of its data policies, to seven Designated Data Centres as follows 1. Climate data center/Institute of Monitoring of Climatic and Ecological Systems, Tomsk (Data and resources on atmosphere and land cover) 2. GIS Center/Joint Institute Geology, Geophysics and Mineralogy, Novosibirsk (Geo-information resources and data) 3. Biodiversity data center/ Institute of Cytology and Genetics, Novosibirsk (Data and resources on biodiversity)

4. Remote sensing data center/ Institute of Forest, Krasnoyarsk (Satellite remote sensing data and resources) 5. Geomagnetic data center/ Institute of Solar- Terrestrial Physics, Irkutsk (Data and resources on geomagnetic characteristics and solar-terrestrial relationship) 6. Hydrology data center/ Institute of Water and Ecology Problems, Barnaul (Data and resources on regional hydrology) 7. Criology data center / Institute of Criolisphere, Tyumen (Data and resources on permafrost and Arctic)

Conclusion/Hopes Being adopted the SB RAS Concept might be used as backbone for SIRS