Difference between revisions of "Mumbai Air Quality Short Course/Course Content"

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Link to [[Mumbai Air Quality Short Course|Mumbai Air Quality Short Course Home]]
 
Link to [[Mumbai Air Quality Short Course|Mumbai Air Quality Short Course Home]]
 
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<big>'''Day 1 Schedule'''</big>
 
 
[[2012-12-07:Mumbai_AQSC_Final_Program#09.00-09.30:  Welcome & Introduction| 09.00-09.30:  Welcome & Introduction]]<br />
 
[[2012-12-07:Mumbai_AQSC_Final_Program#09.30-10.30: Data Resources & Analyses Tools| 09.30-10.30: Data Resources & Analyses Tools]]<br />
 
[[2012-12-07:Mumbai_AQSC_Final_Program#10.30-11.00: Break|10.30-11.00: Break]]<br />
 
[[2012-12-07:Mumbai_AQSC_Final_Program#11.00-12.30: Surface based networks & measurements|11.00-12.30: Surface based networks & measurements]]<br />
 
[[2012-12-07:Mumbai_AQSC_Final_Program#12.30-01.30: Lunch|12.30-01.30: Lunch]]<br />
 
[[2012-12-07:Mumbai_AQSC_Final_Program#01.30-03.00: Satellites, Models & Emissions|01.30-03.00: Satellites, Models & Emissions]]<br />
 
[[2012-12-07:Mumbai_AQSC_Final_Program#03.00-03.30: Break|03.00-03.30: Break]]<br />
 
[[2012-12-07:Mumbai_AQSC_Final_Program#03.30-04.30: Integration of Surface, satellite and Models- Application to India|03.30-04.30: Integration of Surface, satellite and Models- Application to India]]<br />
 
[[2012-12-07:Mumbai_AQSC_Final_Program#04.30-05.15: Summary and discussion (Panel+Open)|04.30-05.15: Summary and discussion (Panel+Open)]]<br />
 
[[2012-12-07:Mumbai_AQSC_Final_Program#Evening : Preparation of the report for Day 2|Evening : Preparation of the report for Day 2]]<br />
 
  
  

Revision as of 08:21, October 9, 2012

Link to Mumbai Air Quality Short Course Home


December 6 (Day 1)

09.00-09.30: Welcome & 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

09.30-10.30: 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

10.30-11.00: Break

11.00-12.30: 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?

12.30-01.30: Lunch

01.30-03.00: 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

03.00-03.30: Break

03.30-04.30: 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.

04.30-05.15: 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.