Technological Aspects April 27-28, 2011 Fairbanks, Alaska
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Transcript of Technological Aspects April 27-28, 2011 Fairbanks, Alaska
Design StrategyTop Down Approach
• Identify requirements• Develop specific science questions to be answered
and analyses to be conducted based on requirements
• Determine data required for analyses• Approach ensures that focus is on realizing tools for
ice road planning• Requirements and science questions drove
development of NSDSS architectural design:• Cyber infrastructure (CI)• NSDSS.net
Information Solution
Catalog Service
Metadata for all Databases
Field Data: WERC, Publish(ODM-based)
North Slope DSSWeb Portal
GIS-based
Climate ForecastsReAnalysis(NetCDF)
GIS Data(WMS, WFS)
Cyber InfrastructureData, Tools, Reports
LocalCache Combination of
new and Existing Databases, owned by data partners
Model Data: Publish
An example of how it will Work?
Catalog Service
Metadata for all information
FieldData
NorthSlopeDSSWorkbench
GIS-basedDesktop Tool
Climate Data
GINAGIS Node
CyberInfrastructureData, Tools, Reports
LocalCache
Intent is to Evaluate Potential Ice Road
Route(s)
1
Decide to do Ice Road Planning Study; select
start and end point
2
Ask Catalog Service for Data Nodes that contain
suitable data (Terrain, GIS – Lakes, Sensitive Areas)
3
Catalog Service provides names and call methods
and parameters for Nodes
4
Workbench Requests Data
5
Node Serves Data6
User Conducts Analysis and documents findings
7
User Completes Evaluation Report
8
User saves findings and brings into decision process.
9
NSDSS Data Sources
NSF Data Conservancy/ EOL
Endangered Species ServiceNSDSS ArcGIS
-Lakes DB-Transportation-Hydrography-DEM
Catalog ServiceMetadata for all
Databases
WERC Field Data(ODM-based)
NorthSlopeDSSWorkbench
GIS-basedDesktop Tool
NSDSS NetCDF-GCM Climate Scenarios-Re-Analysis
CyberInfrastructure
LocalCacheData
Models
NSDSS Publish Database
(ODM-based)
NSDSS ModelDatabase
(xml-based model descriptions)
ESRI World Map(ODM-based)
Read-Only Publishable External
Federated Databases
WERC (UAF) ODM: Environmental, meteorological, and hydrologic data MS SQL-Server database using the CUASHI standard for storage of field observations, ODM
NSDSS NetCDF Database: Standard data file format for storing geospatial time series information in the atmospheric science world Forecasting water availability - General Circulation Models (GCMs) data: scenarios for how green house gases may be controlled in the coming century.
NSDSS ODM Publish Database: Publishing new field observations or through re-analysis of existing field observations Web methods added for publishing the data to the ODM database
A NetCDF Data Service
Catalog Service
Metadata for all information
Historical Field Measurements
NetCDF Data Service
GIS Data
CyberInfrastructureData, Tools, Reports
• In Atmospheric Research Field, data is stored in binary files (netCDF), not relational databases (ODM).
• Historical data is Re-Analyzed into gridded formats too.
• Net CDF Data Service
• Stores gridded data files,
• Ask for GeoWindow and Variable,
• Catalog Service Mediates,
• Provides back stream of data in XML, or spawns mini netcdf file.
Federated Databases
NSDSS Model Publish Database: Facilitate sharing of ice road plans, water budget models, and water quality models for the review processMS SQL Server Database for storing models. Web service created for searching, serving, and publishing the models
NSDSS ArcGIS Server: Geographic data which serves road networks, watersheds, and a North Slope-wide digital elevation modelPrimarily products of the North Slope Science Initiative North Slope lakes database created as part of a joint NSDSS-Alaska DOT project. ArcGIS Server is an ArcGIS Server 10.0 installation
Federated Databases - Existing
ESRI Base MapUsed in the NSDSS.net web portal
GINA Map ServicesGeographic Information Network of Alaska, provides multiple OGC-standard map services for remotely sensed data across the North Slope. Includes digital elevation models (Satellite and LIDAR based), aerial imagery, MODIS-based infrared imagery, among others. NSDSS is working with GINA to create web feature services for hydrographic elements and sufficiently detailed DEM data.
Tying It All Together
Metadata Catalog ServiceCreated to facilitate searching for data within NSDSS’s multiple databasesStores information on each time series in the various ODM databases, the NetCDF Database, and each publish databaseConsumer asks for data, the catalog leads the consumer to the various databases that contain the data.
Semantic MediationProcess used by the metadata catalog service to equate data of different variable namesExample:
IPCC-standard for temperature is termed “tas”WERC ODM database observations of temperature “WERC_tmp”Time series named differently, but contain data of the same variableSemantic mediation maps one name to the other to ensure that a search for temperature results in finding both sets of data
Tying It All Together
Unit MediationWeb service allows data consumers to request data with their desired unitService automatically converts the data in the database from its raw unit to the requested unit before providing it back to the consumerAccomplished by providing a central conversion coefficient serviceKeeping the conversion service central ensure that the conversion coefficients only have to be stored in one place
Automated Time Series Processing Each database’s web service allows the data consumer to request data with a desired interval (annual, monthly, daily, hourly, raw) and statistic (min, max, average, sum, count, raw)Web service converts the time series to the desired interval and statistic prior to providing it to the data consumer.
Authentication
• Big Question relates to who can see the data,
• Added Authentication, so consumers of web services must have valid username and password before data is provided back.
• User Base Maintained in Catalog Service.
Catalog Service
Metadata for all
information
Historical Data
WorkbenchGIS-based
Desktop Tool
Climate Projections
GIS Data
CyberInfrastructureData, Tools, Reports
LocalCache
NSDSS Web Portalnsdss.net
• MS Silverlight-based web application
• Enables exploration of data, analysis, and publication of findings
• Data stored in statewide cyber infrastructure, and is accessed directly through the web portal through web services
• Map-based application containing four modules that interact with map:
• Data Exploration• Data Publishing• Environmental Analysis• Ice Road Planning