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Data Integration and Analysis System (DIAS)
Toshio KoikeThe University of Tokyo
GEO Alliances and Harmonization WorkshopWashington DC, USA, 11-12 November, 2009
The Mission of DIAS
•to coordinate the cutting-edge information scienceand technology and the various research fieldsaddressing the earth environment;•to construct data infrastructure that can integrate earth observation data, numerical model outputs, and socio-economic data effectively;•to create knowledge enabling us to solve the earth environment problems; and•to generate socio-economic benefits.
DIAS, tackling a large increase in volumeof the earth observation data
DIAS is developing a core system for data integration and analysis that includes the supporting functions of life cycle data management, data search, information exploration, scientific analysis, and partial data down-loading.
国家基幹技術「海洋地球観測探査システム」データ統合・解析システム
Global Earth Observation System of Systems(GEOSS)
WCRP CMIP3 MetBrokersatellite simulation In-situ ocean
Disk Array
Storage Layer
File System LayerData Management Layer
•Storage Management System•Power management System
•DBMS
Application Layer
•Data Manager•Data Navigator•Meta Data Manger
•Visualizer(w display wall)•Discovery Work Flow Assist•Data Quality Manager
Common SoftwareUser Apps.
A Prototype of Data Integration and Analysis
User Apps. User Apps. User Apps. User Apps.
•Data Transformer•Data Crawler•ETL
7
DB
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A1:高度成長社会
A2:多元化型
B1:持続発展型
B2:地域共存型
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A1:高度成長社会
A2:多元化型
B1:持続発展型
B2:地域共存型
DB
DB0
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A 1:高度成長社会
A 2:多元化型
B 1:持続発展型
B 2:地域共存型
DB
DB
DB
Meteorology
Ecosystem
AgricultureHydrology
Land Use
Climatology
Health
农业
농업
Where is data?How to access?
Technical Terms among
Different Disciplines
Quality?Reliability?
DIAS, tackling a large increase in diversityof the earth observation data
For improving data interoperability, DIAS is developing a system for identifying the relationship between data by using ontology on technical terms and ideas, and geography.DIAS also is acquiring data base information from various sources by developing a cross-sectoral search engine for various data bases.
Dictionary to Ontology Geographical Ontology
Making Connection among Disciplines through Ontology
1 2 3 4 5 6 7 8 9 10 11 12Year2010Year2020Year2030Year2040Year20500
51015202530354045
単位:0.1度
月
0
50
100
150
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1992
1994
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1998
2000
2002
2004
2006
2008
2010
2012
2014
2016
2018
2020
A 1:高度成長社会
A2:多元化型
B1:持続発展型
B2:地域共存型
Socio-economic Data SchemaClimate Data Schema
Water Cycle Data Schema
Land cover data schema
Agricultural Economy Model
Crop Growth Model
Land Use Model
MetadataElement
CoreElement(MD_Metadata) ProfessionalElement OrganizationalElement
+professionalElement0..*0..*+coreElement
+organizationalElement
0..*
Population Data SchemaSanitation Data Schema
Applications
Agricultural Production Management
DIAS develops an information system for agricultural production management by integrating the real-time monitoring data of farmland, the growing condition of each crop cultivar, meteorological data, numerical weather predictions, and climate model predictions. This system will be usable by the farming community, enabling them to make improved management decisions especially in regions which are susceptible to global warming impacts.
Applications
Ecosystem Conservation and Participatory Monitoring Program
DIAS compiles data bases of a number of important indices of biodiversity, including invasive alien species and endangered species through participatory monitoring programs, integrates to analyze the data with other earth observation data, and disseminates the products in a formto be easily used for decision making related to biodiversityconservation..
Applications
Ocean Circulation and Fishery Resources Management
DIAS provides usable information for a sustainable fishery resources management by constructing an oceanography- fishery cooperative platform that enables resource managers to investigate relationships between fluctuations in the fishery resources and the seasonal to decadal ocean variations derived froman ocean re-analysis based on the data assimilation by applying thefour dimensional variational assimilation methods..
Applications
Integrated Water Resources Management
The Asian countries cooperatively integrate data from earth observation satellites and in-situ networks with other types of data, including numerical weather prediction model outputs, geographical information, and socio-economic data, to generate information for making sound water resources management decisions.
Drought and Water Scarcity
Floods and Land Slides
Water Pollution
and Ecosystem
Degradation
Climate Change Impacts
on Water Cycle
GEOSSAsian Water Cycle Initiative
(AWCI)
1st GEOSS AP Symposium, Tokyo, Jan. 2007
To promote integrated water resources management by making usable information
from GEOSS, for addressing the common water-related
problems in Asia.
・A River Basin of Each Country・Observation Convergence
・Data Integration
Uniqueness
・Interoperability Arrangement
・Capacity Building・Open Data & Source Policies
・Early Achievements
1st Asian Water Cycle Symposium, Tokyo, Nov. 2005
1st Capacity Building Workshop, Sep. 2006
1st Task Team Meeting, Bangkok, Sep. 2006
2nd Asian Water Cycle Symposium, Tokyo, Jan. 2007
1st International Coordination Group Meeting, Bali, Sep. 2007
3rd Asian Water Cycle Symposium, Beppu, Dec. 2007
Myanmar
Malaysia
China
GEOSS Asian Water Cycle Initiative (AWCI)19 Member Countries
Mongolia
KoreaJapan
Pakistan Nepal
India
Bhutan
Myanmar Laos
Bangladesh
Sri Lanka
Thailand
Cambodia
Philippines
Indonesia
China
Vietnam
Uzbekistan
Malaysia
Myanmar
Malaysia
China
GEOSS Asian Water Cycle Initiative (AWCI)19 Member Countries
18 River Basins for Initial Demonstration
Mongolia
KoreaJapan
Pakistan Nepal
India
Bhutan
Myanmar Laos
Bangladesh
Sri Lanka
Thailand
Cambodia
Philippines
Indonesia
China
Vietnam
Uzbekistan
Malaysia
Upload
Meta Data
Meta Data Meta Data
Data Integration and Analysis System (DA-09-02a)
Quality Control
Data Provider (Observer)
User
Meta Data Registration
•Search with Metadata•Data Download
•Document Generation from Meta Data•Data Visualization
・・
ObservationData Meta Data
Data Upload+(part of )Meta Data
ObservationData
Meta Data
Data Quality Control Process
Meta Data
Post-QCObservation Data
InputMeta Data
Data Download Search IF Document Generator Visualization System
Data A
rchivingD
ata IntegrationWeb-based Data Archiving & Integration System
Basic Information
Observation Point Inf.,Contact Person Inf.,……
Myanmar
Malaysia
China
GEOSS Asian Water Cycle Initiative (AWCI)19 Member Countries
18 River Basins for Initial Demonstration
Mongolia
Korea Japan
Pakistan Nepal
India
Bhutan
Myanmar Laos
Bangladesh
Sri Lanka
Thailand
Cambodia
Philippines
Indonesia
China
Vietnam
Uzbekistan
Malaysia
0
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2000
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6000
7000
23 24 25 26 27 28 29 30
November 2004
[m3 /s
]
Observed
QPF
Land-use
Flood Prediction
Topography and River Channel
Network
Socio-Economic Data
Prediction of the inundation Area and Depth
GEOSS/AWCI Flood Evacuation Instruction System in Vietnam
Heavy Rainfall Prediction
Numerical Weather
Prediction
Atmospheric and Land Surface Water
Observation
Heavy Rainfall Prediction
Coupled with Satellite Data Assimilation
Operational Data
Obs..
Pred.
EvacuationInstruction
26
Global Rainfall Map in near-real-time (GSMaP_NRT)• GSMaP (Global Satellite Mapping for
Precipitation) is originally funded by JST/CREST during 2002-2007. – Development of reliable MWR
algorithm consistent with TRMM/PR and precipitation physical model developed by using PR (Aonashi et al., 2009).
– Combination of microwave radiometer retrievals with GEO IR by the moving vector (like CMORPH) and new Kalman filtering method(Ushio et al., 2009).
• JAXA/EORC began to provide near-real-time version data of GSMaP (GSMaP_NRT) about 4-hour after observation via password protected ftp site since October 2008.
• Hourly browse images, kmz files for GoogleEarth, and 24-hour movies are also available from Web server.
Global Rainfall Map in near-real-time -- http://sharaku.eorc.jaxa.jp/GSMaP/
Cyclone "NARGIS" attacked Myanmar
27
Optimized reservoir operation (2006)
Ben Ngoc is in the 1 km downstream of the Hoa Binh reservoir.
Glacier Lake Outburst Floods (GLOFs)
Source: Google Earth
Daichi/PRISM: three independent optical systems for digital elevation data
Moraine topography
Daichi/PALSARSynthetic apertureRadar for identifying water surface
Lake area expantion
Water and energy budget distributed hydrological model (WEB-DHM)coupled with climate models
Lake area expantion
A1B B12046-2065 2081-2100 2046-2065 2081-2100
Number of models which show more severe distribution than
now82%14(/17)
94%16(/17)
76%13(/17)
53%9(/17)
5-year probable rainfall 1.18 1.31 1.14 1.1810-year probable rainfall 1.20 1.35 1.15 1.2100-year probable rainfall 1.20 1.36 1.17 1.18
Climate Change Impacts on Heavy Rainfallin Indonesia
Discharge(m^3/s)
T
Current Design Rainfall
Future Design Rainfall underClimate Change
Design HydrographDesign Rainfall
1 1.2
HydrologicalModel
Current Climate
Climate Change
Climate Change Impacts on Flood Control Planin Indonesia
Probable flood (10year)Current Climate
Probable flood (10year)50 years later
Quantifying uncertainty
Climate models Multi‐model
ensemble (MME)
Down‐scaling
Basin‐scale prediction of
quantity & quality
Water quantity and quality prediction
flood
ordinary water
drought
ground water
Information
Storage
Treatment
Current facility, plan, management
Flood control system
Water allocation &
cost
Environment
Human life
Industry
Logic model
Inter‐industry analysis
FloodDisaster potential
DroughtDisaster potential
Impact assessm
ent
Filed survey
Early warning
Allocation policy
Land use
Adaptation options
etc.
Innovative technology‐ Flood control‐ quality control
Decision m
aking
Monitoring evaluation
implem
entationEnd to End Approach on Climate Change Adaptation
Scientific approach Engineering Approach Socio‐economical approach
System Generalization through Intercomparison Studies