REASoN REASoN Project to link NASA's data, modeling and systems to users in research, education and applications Application of NASA ESE Data and Tools.

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Presentation transcript:

REASoN REASoN Project to link NASA's data, modeling and systems to users in research, education and applications Application of NASA ESE Data and Tools to Air Quality Management Stefan Falke and Rudolf Husar (Co-PIs) Washington University in St. Louis Project Period: NASA Applied Sciences Program Air Quality Team Meeting June 18-20, 2007, The Bolger Center, Potomac, MD

Approach: Mediation Between Users and Data Providers DataFed assumes spontaneous, autonomous data providers Non-intrusively wraps datasets for access by web services Mediates, homogenizes data views. e.g. geo-spatial, time...

Providers NASA DAACs EPA R&D Model EPA AIRNow others Public Manager Scientist Users other The info system transforms the data into info products for each user In the first stage the heterogeneous data are prepared for uniform access Uniform Access Agile Information System: Data Access, Processing and Products The second stage performs filtering, aggregation, fusion and other operations Data Processing Web Service Chain Custom Processing SciFlo DataFed Info Products Reports, Websites Forecasting Compliance Other Sci. Reports The third stage prepares and delivers the needed info products

What few things must be the same so that everything else can be different? WCS/W MS Ap p WCS/WMS Space-Time- Parameter queries Convergence Protocols GetCapabilities GetData Capabilities, ‘Profile’ Data Where? When? What? Which Format? Server Back End Std. Interface Client Front End Std. Interface QueryGetData Standards Where ? BBOXOGC, ISO When?TimeOGC, ISO What?TemperatureCF FormatnetCDF, HDF..CF, EOS, OGC T2T1

Scientist Science DAACs Current info systems are project/program oriented and provide end-to-end solutions Info UsersData ProvidersInfo System AIRNow Public AIRNow Model Compliance Manager ‘Stovepipe’ and Federated Usage Architectures Landscape Part of the data resources of any project can be shared for re-use through DataFed Through the Federation, the data are homogenized into multi-dimensional cubes Data processing and rendering can then be performed through web services Each project/program can be augmented by Federation data and services

DataFed User Tools –Data Catalog –Data Browser –PlumeSim, Animator –Combined Aerosol Trajectory Tool (CATT) Consoles: Data from diverse sources are displayed to create a rich context for exploration and analysis CATT: Combined Aerosol Trajectory Tool for the browsing backtrajectories for specified chemical conditions Viewer: General purpose spatio-temporal data browser and view editor applicable for all DataFed datasets

DataFed User Tools –Data Catalog –Data Browser –PlumeSim, Animator –Combined Aerosol Trajectory Tool (CATT) Consoles: Data from diverse sources are displayed to create a rich context for exploration and analysis CATT: Combined Aerosol Trajectory Tool for the browsing backtrajectories for specified chemical conditions Viewer: Google Earth spatio-temporal data browser and view editor applicable for all DataFed datasets

Web Services: Building Blocks of DataFed Programming Access, Process, Render Data by Service Chaining NASA SeaWiFS Satellite NOAA ATAD Trajectory OGC Map Boundary RPO VIEWS Chemistry Data Access Data Processing Layer Overlay LAYERS Web Service Composition

Over 50 Federated Datasets Data are accessed from autonomous, distributed providers DataFed ‘wrappers’ provide uniform geo-time referencing Tools allow space/time overlay, comparisons and fusion Near Real Time Data Integration Delayed Data Integration Surface Air Quality AIRNOWO3, PM25 ASOS_STIVisibility, 300 sites VIEWS_OL40+ Aerosol Parameters METARSurface Visual Range Satellite MODIS_AOTAOT, Idea Project OMIAI, NO2, O3, Refl. TOMSAbsorption Indx, Refl. SEAW_USReflectance, AOT Model Output NAAPSDust, Smoke, Sulfate, AOT WRFSulfate Emissions Inventories NEIPoint, Area, Mobile EDGARSO2,NOx,CO2 Fire Data HMS_FireFire Pixels MODIS_FireFire Pixels

AQ Research/Management Example Satellite evidence for Exceptional Event (smoke, dust) is now permissible by the EE Rule! Quebec Smoke, July 2002

Analysis Services takes two grids as input, conducts a mathematical operation using their values, and creates a single grid output Grid Operator Service takes a set of latitude, longitude points and sums the associated values for all points that fall within each grid cell of an output grid Point-to-Grid Service

Standards-based Interoperability Standards for finding, accessing, portraying, and processing geospatial data are defined by the Open Geospatial Consortium (OGC). Web Map Server (WMS) for exchanging map images Web Feature Service (WFS) retrieves discrete feature data Web Coverage Service (WCS) allows access to multidimensional data that represent coverages, such as grids. Sensor Observation Service (SOS) multidimensional access to measurement data While these standards are based on the geospatial domain, many are designed to be extended to support non-geographic data “dimensions,” such as time and pollutant species. Geospatial One-Stop

Data Services WCS Analysis Services Service Flow Engine DataFed Server request data request / control maps/ time series DataFed Server Web Application Framework Web services are modular components that gain value when connected to form a chain of services, thereby creating a web application. The services can be geographically distributed among servers. The services come together by way of a workflow, which constructs and manages a set of services chained together. * The WMS request from the web application is extended to include non-standard WMS elements that control the service flow. request data Emissions Services WCS NEISGEI Server Data Services WMS* DataFed Server request data Data Services WCS Other AQ Projects images/data Data Services 3 rd party Server request / control

OMI NO2 Interoperability Network

Interoperable Data and Analysis Services for Multiple Web Applications Data Comparison Application using OpenLayers Visualization Application using GoogleMaps Visualization Application using GoogleEarth Visualization and Analysis Application using DataFed Browser