ClimSOFT Climate Data Management System training workshop (English) - 29 September - 3 October 2025
Objective
The primary objective of the ClimSOFT training workshop is to provide participants with comprehensive knowledge and practical skills to successfully deploy, configure, and operate ClimSOFT version 4 for climate data management within their organizations. The planned syllabus progresses systematically from foundational systems understanding and technical installation, through core operational functions including metadata management, data ingestion, quality control, and product generation, finishing with advanced capabilities such as the integration of AWS data and direct database management through Structured Query Language (SQL).
Venue
IGAD Climate Prediction and Applications Centre, Nairobi, Kenya.
Language
English
Agenda (provisional)
Session | Topics |
---|---|
Day 1 - system overview and installation | |
Morning: 0915 – 1230 |
|
Lunch | |
Afternoon: 1330 – 1700 |
|
Day 2 – configuration and system management | |
Morning: 0900 – 1230 |
|
Lunch | |
Afternoon: 1330 – 1700 |
|
Day 3 – core usage – data management | |
Morning: 0900 – 1230 |
|
Lunch | |
Afternoon: 1330 – 1700 |
|
Day 4 – quality control and products | |
Morning: 0900 – 1230 |
|
Lunch | |
Afternoon: 1330 – 1700 |
|
Day 5 – advanced topics and implementation | |
Morning: 0900 – 1230 |
|
Lunch | |
Afternoon: 1330 – 1700 |
|
Learning outcomes
By the end of the workshop, participants will be able to:
- Install and configure ClimSOFT v4 systems - Participants will be able to independently install the software, establish database connections, configure user management and permissions, and set up quality control parameters for their organizational requirements.
- Manage comprehensive climate data workflows - Participants will demonstrate proficiency in metadata management, data entry and ingestion from multiple sources, applying quality control procedures, and maintaining paper archive integration within the ClimSOFT environment.
- Generate climate products and reports - Participants will be able to develop, customize, and generate various climatological products, summaries, and reports, as well as export data in multiple formats for external use and sharing.
- Integrate real-time data sources - Participants will gain the skills to configure and manage automatic weather station (AWS) data streams, including data transformation, real-time ingestion, and customized quality control limits for automated monitoring systems.
- Perform advanced system administration and troubleshooting - Participants will be able to conduct database management tasks using SQL queries, implement backup and restore procedures, resolve common technical issues, and develop implementation strategies for their specific organizational context.
Participants
ClimSA project focus countries and Regional Climate Centres.
Prerequisites
Technical knowledge:
- Basic understanding of climate data and its role in meteorological and climatological services.
- Familiarity with relational database concepts, including tables, fields, and relationships.
- Experience using Windows-based software, including file management and software installation.
Software
- Basic proficiency in Microsoft Excel or other spreadsheet tools for data handling.
- Exposure to data quality control principles in meteorological or environmental contexts.
- Familiarity with command-line interfaces (optional but beneficial for troubleshooting and advanced tasks).
Professional background
- Employment at National Meteorological and Hydrological Service (NMHS) or WMO Regional Climate Centre (RCC).
- Involvement in data processing, archiving, or climate product generation within their organization.
Language proficiency
- Working knowledge of English
Equipment
- Students need to bring a laptop with Windows 10 or higher, with the following minimum specifications:
- Processor: 1 GHz or better
- 2 GB RAM
- 20 GB free disk space
- Microsoft Office, including Excel, or similar spreadsheet software for displaying CSV files
- NOTE: Students will need to run commands with administrative privileges on the laptop.
Metadata and sample data
Students need to bring metadata for their stations and sample data to be used for practice.
Contact
For further information, please contact dberry@wmo.int.