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REASoN Research, Education, Application Solution Network GENESIS: Data Fusion and Analysis for Multi-Sensor Earth System Science PI: Thomas P Yunck / NASA JPL Objective Create a suite of Grid services to facilitate multi-sensor science investigations across massive, nationally distributed data sets and computing resources: Provide easy web-based access to science products Co-register products on a common global grid Enable swift, versatile subsetting of all products Provide advanced fusion tools and data mining operators Provide tools to create on-demand, custom products Apply tools in a diversity of real science applications Release the system in an open-source modular toolkit Deploy in the JPL, GSFC, and Langley DAACs Approach New capabilities - Subsetting, data format conversion, coincidence searching, data fusion, multivariate statistics Technologies & systems developed - SciFlo workflow, dataflow execution engine for distributed Grid services Technologies & systems used - XML workflows, Globus Grid services, ESML, Conquest, OpenDAP, Linux, Python Co-Is/Partners Barkstrom/LaRC, Barnett/UCSD, JPL (Benada, Braverman, Eldering, Fetzer, Gunson, Hajj, Irion, Raskin, Shahabi, Wilson, Yung), Kempler/GSFC, Muntz/UCLA, Nittel/UMaine Schedule and Application Yr 1 - Prototype in closed environment Yr 2 - SciFlow Server in Python operating on local Grid Yr 3 - Enhanced Server operating on national Grid Yr 4 - Initial deployment in JPL DAAC (PO-DAAC) Yr 5 - Deployment in GSFC and LaRC DAACs, and public release as open-source toolkit Applications - Use of multi-sensor atmospheric datasets (AIRS, MODIS, MISR, GPS) in investigations of climate processes (e.g., strat-trop moisture transport), climate model validation, and instrument cross-comparison, calibration, and validation. Entry TRL = 3; Exit TRL = 7 Insert project graphic in this quadrant…

REASoN Research, Education, Application Solution Network GENESIS: Data Fusion and Analysis for Multi-Sensor Earth System Science PI: Thomas P Yunck / NASA

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REASoNResearch, Education, Application Solution

Network

GENESIS: Data Fusion and Analysis for Multi-Sensor Earth System Science

PI: Thomas P Yunck / NASA JPL

Objective

Create a suite of Grid services to facilitate multi-sensor science investigations across massive, nationally distributed data sets and computing resources:

• Provide easy web-based access to science products• Co-register products on a common global grid• Enable swift, versatile subsetting of all products• Provide advanced fusion tools and data mining operators• Provide tools to create on-demand, custom products• Apply tools in a diversity of real science applications• Release the system in an open-source modular toolkit• Deploy in the JPL, GSFC, and Langley DAACs

Approach

New capabilities - Subsetting, data format conversion, coincidence searching, data fusion, multivariate statistics

Technologies & systems developed - SciFlo workflow, dataflow execution engine for distributed Grid services

Technologies & systems used - XML workflows, Globus Grid services, ESML, Conquest, OpenDAP, Linux, Python

Co-Is/Partners

Barkstrom/LaRC, Barnett/UCSD, JPL (Benada, Braverman, Eldering, Fetzer, Gunson, Hajj, Irion, Raskin, Shahabi, Wilson, Yung), Kempler/GSFC, Muntz/UCLA, Nittel/UMaine

Schedule and Application

• Yr 1 - Prototype in closed environment• Yr 2 - SciFlow Server in Python operating on local Grid• Yr 3 - Enhanced Server operating on national Grid• Yr 4 - Initial deployment in JPL DAAC (PO-DAAC)• Yr 5 - Deployment in GSFC and LaRC DAACs, and public

release as open-source toolkit

• Applications - Use of multi-sensor atmospheric datasets (AIRS, MODIS, MISR, GPS) in investigations of climate processes (e.g., strat-trop moisture transport), climate model validation, and instrument cross-comparison, calibration, and validation.

Entry TRL = 3; Exit TRL = 7

Insert project graphic in this quadrant…

REASoNResearch, Education, Application Solution

Network

Application of ESE Data and Tools to Particulate Air Quality Management

PI: Stefan Falke / Washington University in St. Louis

Objective

The objective of this research proposal is to apply ESE data and tools to support air quality decision-making. This will be achieved through the use of existing monitoring data, innovative information technology, and established interoperability standards.

The technology development portion of the project will extend and customize the application to end user needs using emerging web service technologies.

Approach

Highlights - Voyager spatio-temporal browser; Web service chaining; Aerosol watch system; data fusion; OGC wrapper for GCMD

Technologies & systems developed – Web service chaining manager, data service wrappers (WMS/WCS), data browser tool enhancements (Voyager), catalog wrappers, aerosol watch dashboard application

Technologies & systems used – Web services, AIRS, Voyager format, VIEWS, OGC WMS

Co-Is/Partners

COI / DaMassa, John / California Air Resources Board, COI / Khan, Maudood / Georgia DNR, COI / Tretheway, Ray / Sacramento Tree Foundation, COI / Kenna, Gordon / Georgia Cool Communities

Schedule and Application

• Milestone 1?• Milestone 2?

TRLin = ?

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