Workshop on the Application of Hydrometeorological Seasonal Forecasts (THSF) Big Data for Water Management and Agriculture Support
Published May 14, 2025 | 5-minute read
Principles and Objectives
Forecasting is vital for planning and preparing for future situations, enhancing decision-making accuracy in hydrometeorology —the study of climate and water phenomena. Forecasting is essential for anticipating natural events and their potential impacts. In rapidly and severely changing climate conditions, the Seasonal Hydrometeorological Forecasting System project provides data with high spatial resolution of up to 0.01 degrees (approximately 1 kilometer), across Thailand, with forecasts ranging from 1 week to 6 months in advance. This local forecast data improves preparation for changing conditions and supports management of surface and groundwater resources for irrigation, matching plant needs at different growth stages. It enables better water usage planning and cultivation aligned with seasonal water availability, enhancing water resource management and agricultural operations.
This workshop on the application of real-time and forecasted hydrometeorological data is organized to demonstrate and present guidelines for utilizing the data. The main objective is to transfer knowledge to researchers who need hydrometeorological data for water management and agriculture (Technical Users) and end users from various agencies, to promote the application of data for decision-making in water and agricultural management under climate variability. Additionally, the workshop is an important opportunity to promote networking between researchers, academics, experts, and representatives from relevant agencies, especially government agencies responsible for national water and agricultural management planning. This will facilitate data exchange and pool knowledge and experience in using real-time and forecasted hydrometeorological data for effective decision-making, leading to sustainable development and adaptation to future climate conditions.
Participants
The main target group of the meeting consists of participants from various sectors, including experts and representatives from government agencies with roles in water and agricultural management; faculty, researchers, and students from educational institutions interested in this field; as well as representatives from the private sector and general public interested in resource management issues under climate change conditions for effective decision-making in water and agricultural management.
Meeting participants will learn how to access and apply real-time and forecasted hydrometeorological data to maximum benefit. They can access and download data through official channels at the project website (https://alice-lab.com/thsf-th) or through Google Earth Engine.
Brief Schedule
Time | Activity | Responsible Person |
June 5, 2025 | ||
8:30 – 8:45 | Registration | Project Researchers |
8:45 – 8:55 | Opening of the Workshop | Mr. Chaiya Phuengphosop, Director of Irrigation Development Institute |
8:55 – 9:00 | Group Photo | Project Researchers |
9:00 – 9:40 | High-Resolution (1 kilometer) Seasonal Hydrometeorological Forecasting System Project in Thailand to Enhance Agricultural Capabilities Under Climate Variability Challenges | Project Researchers |
9:40 – 9:55 | Explanation of participant group division for collaborative analysis of trends and benefits of forecasted hydrometeorological variables, divided into: · For agricultural benefits · For water management benefits · For disaster warning benefits · For academic benefits | Project Researchers |
9:55 – 10:15 | Break | |
Seminar Session | ||
10:15 – 11:00 | Seminar 1: Application of Geoinformatics and Hydrometeorological Seasonal Forecasting Data Under Climate Variability | Dr. Somchai Baimoung |
11:00 – 11:30 | Seminar 2: Application of Geoinformatics and Hydrometeorological Seasonal Forecasting Data in Agricultural Management | Dr. Sompop Sujarit |
11:30 – 12:00 | Seminar 3: Application of Hydrometeorological Seasonal Forecasting Data in Water Management | Dr. Kanoksri Sarinnapakorn |
12:00 – 13:30 | Lunch Break | |
13:30 – 14:30 | Introduction to Project Data Usage, Session 1: · Using and downloading data from the project website · Data details and file formats · Installing data processing software, activation, and configuration | Project Researchers |
14:30 – 14:45 | Break | |
14:45 – 16:00 | Introduction to Project Data Usage, Session 2: · Data processing using Google Earth Engine | Project Researchers |
June 6, 2025 | ||
8:30 – 9:00 | Registration | Project Researchers |
9:00 – 10:30 | Introduction to Project Data Usage, Session 3: · Application of Hydrometeorological Forecast data and its utilization using Python | Project Researchers |
10:30 – 10:45 | Break | |
10:45 – 12:00 | Participants process data and prepare presentations on the application of Hydrometeorological Seasonal Forecasting data according to their group | Project Researchers |
12:00 – 13:30 | Lunch Break | |
13:30 – 15:30 | Participants present their applications of Hydrometeorological Seasonal Forecasting data according to their group | Project Researchers |
15:30 – 15:45 | Break | |
15:45 – 16:00 | Awarding certificates to participants | Project Researchers |
Note: Schedule and details may change as appropriate.
HOMEPAGE
ALICE-LAB: Asian Land Information for Climate and Environmental Research Laboratory
Advancing Agriculture, Climate, Environmental, and Disaster Monitoring Through Satellite-Based Soil Moisture Retrieval and Applications in South East Asia
This workshop is focused on enhancing the understanding and utilization of satellite-based soil moisture data, particularly in the context of climate, agriculture, and disaster risk management. It aims to raise awareness among stakeholders in South East Asia about the significance of satellite-based soil moisture data, its applications, and the necessity of calibration and validation efforts to improve data accuracy.