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, 5 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

The outcome of this session will be a summary of the learning from Day 1 to be presented to the participants on Day 2.

DataFed Tutorial

Hands on tutorial on the federated data system ( DataFed). Participants are encouraged to bring their own laptops.

December 7, Day 2