Mumbai Air Quality Short Course/Course Content

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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

Case studies: Combining satellite and surface observations with models

Contributors: All participants

Content:

• 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 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.