Transcript 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.

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 (http://www-sbras.nsc.ru/win/elbib/bio/ )
and web portal on atmospheric and environmental
sciences ATMOS (http://atmos.iao.ru/ and
http://atmos.scert.ru/ ) 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

information on demand - like power from a
socket
software
computers
sensor
nets
instruments
colleagues


data archives
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
The Grid
The Semantic Web
“Resource sharing & coordinated problem solving
in dynamic, multi-institutional virtual
organizations”
IT background
Интернет технологии
software
computers
• GRID
sensor
nets
instruments
colleagues
•Semantic Web
data archives
DAAC
The state of the art
• 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
•…
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) , ….
Community Data Portal (CDP)
Earth System Grid
(http://www.earthsystemgrid.org/)
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.
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
Electronic atlas “Biodiversity”
Dynamic system of
electronic publications
Information structure (metadata) of document in the elibrary “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
Class name
Порядки
Известные синонимы данного типа
Подчиненные синтаксономические единицы
Характерные виды класса
Дифференциальные виды
Виды ответственные за диагноз данной единицы, связь с базой данных
“Электронный каталог растений Сибири”
Диагностические виды
Установленный географический ареал
Текстовое описание установленного ареала единицы
Карта-схема
ареала
Diagnistical
types
Связь с базой данных ареалов растительных сообществ
особенности
Map of Климатические
areal
Текстовая характеристика климата на ареале сообщества
Экологическая характеристика
Текстовая характеристика местообитания 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
Web portal on environmental sciences ATMOS
ATMOS starting page
Gelio-Geophysical Measuring Data in Siberia
http://solter.atmos.iao.ru
Gelio-Geophysical Measuring Data in Siberia
http://solter.atmos.iao.ru
Atmospheric Chemistry
http://atchem.atmos.iao.ru
Dynamics of the
ozone
concentration
Phase portrait of the
Chapman cycle
Atmospheric spectroscopy
http://saga.atmos.iao.ru
CO2 absorption
coefficient in 4,3 mkm
domain
Atmospheric Radiation
http://atrad.atmos.iao.ru
Atmospheric Dynamics
http://climate.atmos.iao.ru
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 (http://sgbp.scert.ru)
Access to metadata on results of measurements/observations
Is developing now.
.
The project intranet as a tool for data and information resources
sharing
Russian Academy of Sciences
Siberian Branch
Telecommunication infrastructure of SB RAS
Якутск
SB RAS LAN
2-10 Mbps
GLORIAD
155 Mbps
Тюмень
Томск
Омск
Красноярск
Новосибирск
Барнаул
Кемерово
Иркутск
Улан-Уде
Чита
Moscow-RAS
45 Mbps
Rostelecom and TransTelecom channels are rented
Центр сети СО РАН
Logical structure
NSK-IX
Moscow & GLORIAD
LAN
for supercomputers
Novosibirsk-EDU
Akademgorodok
1 Gbps backbone
SB RAS
Scientific
Centers
LANs of Institutes
NSU LAN
SB RAMS and SB RAAS
SSC “Vector”»
SB RAS concept on environmental data
handling, storage and access
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 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 SolarTerrestrial 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