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  2. Trainings
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Table of Contents

  • Module 1
    • 1.1 The Evolution of Forecasting
    • 1.2 Understanding Impact-Based Forecasting
    • 1.3 The Role of Technology in IBF
  • Module 2
    • 2.1 Introduction to QGIS
    • 2.2 Installation and Getting Started
      • 2.2.1 QGIS Installation
      • 2.2.2 Basic Concepts
      • 2.2.3 File Types
    • 2.3 Basic Operation in QGIS
      • 2.3.1 Importing Spatial Data
      • 2.3.2 Importing Non-spatial Data
      • 2.3.3 Adding boundaries and layer orders
      • 2.3.4 Creating a basic map
  • Module 3
    • 3.1 Downloading the datasets
    • 3.2 Georeferencing
    • 3.3 Tracing polygon and categorizing hazards
    • 3.4 Assessing Exposure and Vulnerability
      • 3.4.1 Downloading data from OSM
      • 3.4.2 Fixing Geometry and Attributes
      • 3.4.3 Impact-Based Forecasting
  • Module 4
    • 4.1 Maldives Case Study - Assessing Vulnerability
    • 4.2 Maldives Case Study - Assessing Exposure
    • 4.3 Maldives Case Study - Impact of Cyclone Tauktae
  • Evaluation Form

Table of Contents

  • Module 1
    • 1.1 The Evolution of Forecasting
    • 1.2 Understanding Impact-Based Forecasting
    • 1.3 The Role of Technology in IBF
  • Module 2
    • 2.1 Introduction to QGIS
    • 2.2 Installation and Getting Started
      • 2.2.1 QGIS Installation
      • 2.2.2 Basic Concepts
      • 2.2.3 File Types
    • 2.3 Basic Operation in QGIS
      • 2.3.1 Importing Spatial Data
      • 2.3.2 Importing Non-spatial Data
      • 2.3.3 Adding boundaries and layer orders
      • 2.3.4 Creating a basic map
  • Module 3
    • 3.1 Downloading the datasets
    • 3.2 Georeferencing
    • 3.3 Tracing polygon and categorizing hazards
    • 3.4 Assessing Exposure and Vulnerability
      • 3.4.1 Downloading data from OSM
      • 3.4.2 Fixing Geometry and Attributes
      • 3.4.3 Impact-Based Forecasting
  • Module 4
    • 4.1 Maldives Case Study - Assessing Vulnerability
    • 4.2 Maldives Case Study - Assessing Exposure
    • 4.3 Maldives Case Study - Impact of Cyclone Tauktae
  • Evaluation Form

Module 3

Module 3. Regional Impact-based Forecasting Using Seasonal Forecast Data

 

Welcome to our tutorial on "Regional Impact-Based Forecasting Using Seasonal Forecast Data from SASCOF." In this module, we explore the critical role of Regional Climate Outlook Forums ("RCOFs"), with a particular focus on the South Asian Seasonal Climate Outlook Forum ("SASCOF"). RCOFs play a significant role in enhancing regional climate services, providing consensus-based seasonal forecasts that play a pivotal role in regional disaster management strategies.

 

Seasonal forecasts are invaluable in predicting climate variations and extreme weather events, enabling regions to prepare and respond proactively to potential hazards. By leveraging these forecasts, we can better understand the potential impacts on various sectors, such as agriculture, water resources, and health. This module will guide you through the process of using seasonal forecast data for impact-based forecasting, using the example from SASCOF, how seasonal forecasts can enhance disaster preparedness and resilience at a subregional level.

 

Module 3 material download link

 

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