Difference between revisions of "Mumbai Air Quality Short Course/Course Content"
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* V Sethi : Welcome & Introduction to India Air Quality Resource Group ,5 mins | * V Sethi : Welcome & Introduction to India Air Quality Resource Group ,5 mins | ||
* P Biswas: Introduction to MAGEEP educational program,5 mins | * P Biswas: Introduction to MAGEEP educational program,5 mins | ||
− | * R Husar: Course design, procedures, collaboration, expected outcomes, 5 mins | + | * R Husar: Course goals, rationale, design, procedures, collaboration, expected outcomes, 5 mins |
==09.15-10.30: Data Resources & Analyses Tools == | ==09.15-10.30: Data Resources & Analyses Tools == |
Revision as of 19:28, October 14, 2012
Return to Short Course Home
December 6 (Day 1)
09.00-09.15: Introduction
- V Sethi : Welcome & Introduction to India Air Quality Resource Group ,5 mins
- P Biswas: Introduction to MAGEEP educational program,5 mins
- R Husar: Course goals, rationale, design, procedures, collaboration, expected outcomes, 5 mins
09.15-10.30: Data Resources & Analyses Tools
Contributors:
Dr. Rudolf B. Husar, WUStL
Ratish Menon, IIT Bombay
Others?
Content:
- Key Datasets; Observing Method, Observation Parameters, Space-time coverage
- Surface, Point monitoring networks
- Satellite, 2D-Gridded data
- Models, 3D-Gridded data
- Emissions
- Analyses Tools
- Spatial,temporal and random pattern analyses
- Monitoring consoles
- Special; eg. model evaluation, CATT
11.00-12.30: Surface based networks & Observations
Contributors:
Dr. Prashant Gargava, CPCB
Dr. Rakesh Kumar, NEERI
Dr.Ajay Deshpande, MPCB
Content:
- Networks
- NAMP- Aerosol & Gases
- 6 city- Aerosol speciation
- PM Pattern over India
- Other?
13.30-15.00: Satellite remote sensing of air quality
Contributors:
Dr. Rudolf B. Husar, WUStL
Dr. Sachidanand Tripathi, IIT Kanpur
Ratish Menon, IIT Bombay
Others?
Content:
- Satellites
- Air pollution remote sensing basics
- MODIS, OMI,CALIPSO,MISR
- Patterns over India
- Models
- NAAPS, MACC, other?
- Patterns over India
15.30-16.30: Combining satellite and surface observations with models
Contributors:
All participants
Content:
- Models with data assimilation
- Event studies
- Multisensory data fusion
- Tentative aerosol source attribution
16.30-17.00: Summary Day1 and discussion
To have an invited panel and then a general discussion.
- What have we learned?
- Opportunities for further learning and applications
The outcome of this session will be a summary of the learning from Day 1 to be presented to the participants on Day 2.
17.30-18.30: DataFed Tutorial
Hands on tutorial on the federated data system ( DataFed). Participants are encouraged to bring their own laptops.
December 7, Day 2
09.00-09.30: Aerosol Self Learning Modules and the MAGEEP Aerosol Network
Contributors:
Dr.Pratim Biswas, Washington University in St.Louis
Content:
09.30-09.45: Summary report of Day 1
Presented by Dr.Rudolf B.Husar, Washington University in St.Louis
09.45-10.45: Ambient Air Quality Monitoring: Experiences from other countries
Contributors:
Dr.Orhan Yenugin, Bogazici University
Dr.Jiang Jingkun, Tsinghua University
Content:
11.15-12.00: Urban Measurements, Supersites, Special Monitoring
Contributors:
Dr.Jay Turner, Washington University in St.Louis
Content:
12.00-13.00: Organic aerosol speciation
Contributors:
Dr.Brent Williams, Washington University in St.Louis
Dr.Min Hu, Peking University
Content:
14.00-15.30: Panel Discussion
Contributors:
Content:
Outstanding needs in air quality analyses for effective control measures
16.00-17.00: Roadmap Discussion
Contributors:
Participants
Content:
Charting a three year calendar for collaborative education and research in air quality