The collaborative team for this project has come together through previous collaborations within the GEOSS Architecture Implementation Pilot Phase-2 (AIP-2), the Federation of Earth Science Information Partners (ESIP), McDonnell Academy Global Energy and Environment Partnership (MAGEEP), and other interactions.
Name
Organization
Role
Stefan Falke
Washington University
Co-PI (Point-Of-Contact), Project coordination, GEOSS Common Infrastructure, collaborative analytical tools
Uma Shankar
University of North Carolina
Co-PI, Modeling, training
Virendra Sethi
IIT Bombay
Co-PI, Community building, India air quality monitoring and data, application to decision processes
Rudolf Husar
Washington University
Co-PI, Multi-data source air quality characterization, GEOSS Infrastructure
Rakesh Kumar
National Environmental Engineering Research Institute
Co-I, Air Quality Monitoring and Decision Support System for Air quality Management decisions, Economic analysis, Technology issues of air pollution control
Chandra Venkataraman
IIT Bombay
Co-I, Modeling, India regional-scale emissions inventory, model inter-comparisons
Ana Prados
University of Maryland – Baltimore County
Co-I, Satellite data for air quality analysis, training
Akshara Kaginalkar
Centre for Development of Advanced Computing
Co-I,
Shawn McClure
Colorado State University
Co-I, Web services, analysis tools
Rashmi S. Patil
IIT Bombay
Co-I, Air Quality Modelling and Measurements
M.P. Singh
Ansal Institute of Technology
Co-I, Conducting modeling studies, dissemination through training, workshops and conferences
A.K. Yadav
Ansal Institute of Technology
Co-I, Air Quality Characterization and analysis, training workshops
Erin Robinson
Washington University
GEOSS Common Infrastructure and Air quality community infrastructure
Ratish Menon
IIT Bombay
Air quality characterization methods
Kari Hoijarvi
Washington University
Web developer
Project budget (estimated)
The following represents a budget estimate for the proposed work. They are intended as a ball-park figure and to indicate the budget distribution across collaborators and project activities. We look forward in working with GEO to identify potential sponsors of this work. Once sponsors are identified, detailed budgets will be generated and finalized. Please refer to Appendix D for detailed breakdown of US organization budget estimates along with budget justifications. For contractual purposes for the US organizations, Washington University in St. Louis will serve as the PI institution.
Project schedule
Assuming adequate levels of support for the project team, we plan for a 4-year effort in 5 partially overlapping phases. A key milestone occurs in the later half of year 3 with a demonstration of the integrated approach to air quality characterization. For planning purposes, the overall project period is 1 January 2011 – 31 Dec 2014.
Phase 1 (~ 9 months)
Phase 1a (~9 months) - community building, engaging stakeholders and partners and identifying available data for the use in the prototype and where those data nodes will be maintained for the India air quality network
Phase1b (~3 months) - identify existing data resources and make available for project
Phase 2 (~18 months) - create and test standard web service interfaces to the data and in ensuring access to already existing services, and the registration of the services in an air quality community web catalog connected with the GEOSS Common Infrastructure (GCI) and the necessary interfaces to decision support tools
Phase 3 (~18 months) - application development using GCI and coordination with decision support processes in air quality characterization
Phase 4 (~6 months) - demonstration of prototype GEOSS Air Quality Applications for India to multiple air quality audiences and conducting workshops for learning how to work with the air quality infrastructure, multiple sources of data, and analytical tools
Phase 5 (~12 months) Refine the prototype analysis system based on feedback from demonstrations and workshops and develop a plan to transition to an operational status.
