Hybrid Training Course on Climate Data Analysis

Date:  20 Nov - 6 Dec 2024

Venue: Bangkok, Thailand




Training Course Period: 20 November - 6 December 2024

Online Phase:
20-29 November 2024
Face to Face Phase: 2-6 December 2024


Asian Disaster Preparedness Center (ADPC) jointly collaborate with Asian Institute of Technology (AIT) to conduct the course to emphasize the climate change continues to pose significant challenges to our planet, understanding and analyzing climate data has become more crucial than ever. This course is designed to equip you with the essential knowledge and skills needed to analyze climate data effectively, thereby contributing to climate research, policy-making, and environmental management.

The course aims to help participants gain a foundational understanding of climate science, covering key concepts, terminologies, and the factors driving climate change. You will learn how to acquire, process, and analyze climate data using various tools and techniques. Additionally, the course will develop your ability to visualize climate data to identify patterns, trends, and anomalies, and enhance your skills in interpreting data results and communicating findings to diverse audiences, including policymakers, researchers, and the general public.


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.



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


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


• Climate researchers and modelers who need advanced data analysis skills.
• Government officials and policymakers formulate environmental policies.
• Meteorologists analyze atmospheric data and forecast trends.
• Urban planners incorporate climate data into development plans.
• Industry stakeholders who are involved in emission reduction and sustainability.
• IT and technical support managing climate data systems.


$1,350 (without accommodation)
$1,725 [with accommodation (6 nights)]

Fees are inclusive of course materials (soft copy), cost of instructions and course certificate. For face-to-face training, the fee is inclusive of morning and afternoon snacks and lunch during the course.


Interested individuals and organizations can register online at

For more information about the course, you may also contact Apibarl Bunchongraksa at and telephone numbers +66 22980681 to 92 ext. 132.