Difference between revisions of "Mumbai Air Quality Short Course/Course Content"
From Earth Science Information Partners (ESIP)
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− | * | + | *Models with data assimilation |
− | * | + | *Event studies |
− | * | + | *Multisensory data fusion |
− | * | + | *Tentative aerosol source attribution |
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==Summary and discussion (Panel+Open)== | ==Summary and discussion (Panel+Open)== |
Revision as of 14:51, October 9, 2012
Return to Short Course Home
December 6 (Day 1)
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, 15 mins
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
Surface based networks & measurements
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?
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
Combining satellite and surface observations with models
Contributors:
All participants
Content:
- Models with data assimilation
- Event studies
- Multisensory data fusion
- Tentative aerosol source attribution
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
DataFed Tutorial
Handson tutorial on the federated data system ( DataFed). Participants are encouraged to bring their own laptops.