COURSE SCHEDULE
Training Course Period: 10-21 November 2025
Online Phase: 10-16 November 2025
Face to Face Phase: 17-21 November 2025
COURSE OBJECTIVES
At the end of the course, the participants will be able to:
• Gain comprehensive knowledge of various climate data types, sources, formats, and the importance of data quality.
• Learn best practices for collecting, managing, and storing climate data to ensure integrity and accessibility.
• Become proficient in statistical methods, trend analysis, and climate modeling.
• Develop skills to interpret climate data analysis results and their implications and explore practical applications in climate change mitigation, adaptation, disaster risk reduction, and environmental management.
COURSE CONTENTS
THEORY
Unit 1: What is Climate?
1.1 Climate and Weather
1.2 Why Climate Matters
1.3 Energy: Warming and Cooling Earth and the Atmosphere
1.4 Energy, Temperature, and Heat
1.5 Hydrological Cycle
1.6 Climate Statistics
1.7 Utilization of Weather Satellites
Unit 2: Basic General Circulation of Atmosphere and Ocean
2.1 General Circulation of the Atmosphere
2.2 The General Circulation and Precipitation Patterns
2.3 Global Wind Patterns and Surface Ocean Currents
2.4 El Nino, La Nina, and the Southern Oscillation
2.5 Other Significant Oscillation and Annual Mode
Unit 3: Air-Sea-Land-Climate Interactions
3.1 Air–Sea Interaction
3.2 Tropical Cyclones
3.3 Important Factors Effecting Land-Climate
3.4 Climate Classification
3.5 Climate Zones
3.6 Koppen-Geiger Climate Subdivisions
Unit 4: Climate Change
4.1 Past Climate Observations
4.2 Mechanisms of Climate Change
4.3 Current Climate Change
4.4 Understanding Recent Climate Change
4.5 Predicting Future Climate
Unit 5: Brief Introduction Mathematical Modelling of the Ocean and Atmosphere
5.1 Laboratory Models
5.2 Mathematical Model
5.3 Basic Concepts of Atmospheric and Climate General Circulation Models
5.4 Data Assimilation
5.5 Global Ocean Models
5.6 Regional Climate Models and Downscaling
Unit 6 What are Climate Model Phases and Scenarios?
6.1 The Models
6.2 Scenario Process for AR5
6.3 What are RCPs?
6.4 From Narratives to Scenarios
HAND-ON
Unit 1 Data Used in Climate and Weather Studies
1.1 Historical and Current Data
1.2 Forecasts and Projections
1.3 Reanalysis Data
1.4 Sectoral Information Needs
1.5 Some Important Climate Index
1.6 Online Climate Data & Data Exploration Tools
Unit 2 Copernicus Climate Data Store (CDS)
2.1 Where to get Climate Data?
2.2 Copernicus Climate Change Service (C3S)
2.3 The Climate Data Store (CDS)
2.4 Data Format
2.5 ncdump & ncview
Unit 3 Introduction to Basic Linux
3.1 Windows Subsystem for Linux (WSL)
3.2 How to enable WSL on Windows 10
3.3 Basic Linux Structure & Command
3.4 Download Forecast Data
3.5 Tutorial 1
Unit 4 Introduction to Climate Data Operator (CDO)
4.1 Attributes of the Data
4.2 Data Analysis and Visualization
4.3 Basic Commands
4.4 Create Sub-Set of an Area
4.5 Arithmetic with a Constant
Unit 5 GrADS – Grid Analysis and Display System
5.1 What is GrADS?
5.2 The Data and Descriptor (.CTL) Files
5.3 Running 2.3 GrADS (initiation session)
5.4 Examples and Basic Exercises
5.5 More Examples for Practice
5.6 Inserting Titles, Texts, Forms and Symbols
5.7 Basic Controlling Graphical Options
Unit 6 Calculate Climate Indicators – Using Climpact
6.1 The ‘value’ of climate indices
6.2 Background to ETCCDI, Indices and Software
6.3 Background to Development of ET-SCI Indices
6.4 How to Run Climepact
6.5 Sector Data Correlation
How to Apply:
Interested individuals and organizations can register online at www.adpc.net/apply.
For more information about the course, you may also contact Apibarl Bunchongraksa at apibarl@adpc.net and telephone numbers +66 22980681 to 92 ext. 132.
