Difference between revisions of "Mumbai Air Quality Short Course/Course Content"
From Earth Science Information Partners (ESIP)
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=December 6 (Day 1)= | =December 6 (Day 1)= | ||
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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 | ||
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* R Husar: Course design, procedures, collaboration, expected outcomes, 15 mins | * R Husar: Course design, procedures, collaboration, expected outcomes, 15 mins | ||
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**Special; eg. model evaluation, CATT | **Special; eg. model evaluation, CATT | ||
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Contributors: | Contributors: | ||
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**Other surface? | **Other surface? | ||
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Contributors: | Contributors: | ||
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** Patterns over India | ** Patterns over India | ||
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Contributors: | Contributors: | ||
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The outcome of this session will be a summary/assessment of the air quality over India as derived from the multi-sensory observations & models. This summary to be presented to the participants on Day 2. | The outcome of this session will be a summary/assessment of the air quality over India as derived from the multi-sensory observations & models. This summary to be presented to the participants on Day 2. | ||
| − | == | + | ==Summary and discussion (Panel+Open)== |
To have an invited panel and then a general discussion. | To have an invited panel and then a general discussion. | ||
Revision as of 08:26, October 9, 2012
Link to Mumbai Air Quality Short Course Home
December 6 (Day 1)
Introduction
- V Sethi : Welcome & Introduction to India Air Quality Resource Group , 5 mins
- P Biswas: Welcome & Introduction to MAGEEP educational program, 5 mins
- R Husar: Course design, procedures, collaboration, expected outcomes, 15 mins
Data Resources & Analyses Tools
Contributors:
- Dr. Rudolf B. Husar, WUStL
- Ratish Menon, IIT Bombay
- Others?
- 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
Surface based networks & measurements
Contributors:
- Dr. Prashant Gargava, CPCB
- Dr. Rakesh Kumar, NEERI
- Dr. Jay Turner, WUStL
- Dr. Brent Williams, WUStL
- Networks
- NAMP- Aerosol & Gases
- 6 city- Aerosol speciation
- PM Pattern over India
- Other?
- Observation methods
- Urban pollution
- Organic aerosols
- Other surface?
Satellites, Models & Emissions
Contributors:
- Dr. Rudolf B. Husar, WUStL
- Dr. Sachidanand Tripathi, IIT Kanpur
- Ratish Menon, IIT Bombay
- Others?
- Satellites
- Air pollution remote sensing basics
- MODIS, OMI,CALIPSO,MISR
- Patterns over India
- Models
- NAAPS, MACC, other?
- Patterns over India
Integration of Surface, satellite and Models- Application to India
Contributors: All participants
- Comparison of surface and satellite
- Spatial and temporal pattern of aerosols over India
- Tentative sources of aerosols over India
- Identification of key uncertainties
The outcome of this session will be a summary/assessment of the air quality over India as derived from the multi-sensory observations & models. This summary to be presented to the participants on Day 2.
Summary and discussion (Panel+Open)
To have an invited panel and then a general discussion.
- What have learned
- Opportunities for further learning and applications
Evening : Preparation of the report for Day 2
The report to contain the summary/assessment of the air quality over India as derived from the multi-sensory observations & models.
