Difference between revisions of "Mumbai Air Quality Short Course/Course Content"
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**Special; eg. model evaluation, CATT | **Special; eg. model evaluation, CATT | ||
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'''Contributors''':<br/> | '''Contributors''':<br/> |
Revision as of 08:31, October 10, 2012
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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 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. Jay Turner, WUStL
Dr. Brent Williams, WUStL
Content:
- Networks
- NAMP- Aerosol & Gases
- 6 city- Aerosol speciation
- PM Pattern over India
- Other?
- Observation methods
- Urban pollution
- Organic aerosols
- Other surface?
13.30-15.00: Satellites, Models & Emissions
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 and discussion (Panel+Open)
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.