The Climate Data Analysis Training is a four-day intensive, hands-on program designed to equip graduate students, early-career researchers, and practitioners with practical skills in accessing, processing, and analyzing climate and satellite datasets. The training will be held in Kathmandu, Nepal. It will cover key tools such as Climate Data Operators (CDO) and Python wit h Jupyter Notebook, alongside exploration of datasets like ERA5, APHRODITE, and IMERG.
The training will include collaborative group work, expert insights, and guided support to build confidence in climate data handling and visualization. This training is led by experienced trainers and guest experts and aims to foster data-driven approaches to climate science and environmental research in Nepal.
Objective of the training
1. To introduce participants to common climate data formats, particularly NetCDF, and how to acquire them from the different sources
2. Guide participants in installing and configuring essential tools like Anaconda, Jupyter Notebook, and Climate Data Operators (CDO)
3. Guide participants in preprocessing satellite datasets using CDO
4. Support participants in writing and running basic Python scripts in Jupyter for reading, processing, and visualizing NetCDF and CSV data
5. To guide participants in extracting, visualizing, and interpreting precipitation trends from large datasets over Nepal and surrounding regions
6. Encourage participants to apply climate data analysis techniques in their research or project contexts
Eligibility Criteria
1. Open to students, researchers, and professionals with at least a bachelor's degree in Environmental Science, Meteorology, Hydrology, Climate Science, or related disciplines
2. Basic knowledge about climate datasets
3. A basic understanding of programming (preferably Python) is beneficial but not mandatory
4. Participants must mandatorily bring a laptop and be willing to engage in hands-on coding sessions
5. Selected participants must commit to attending all four days of the training and actively engage in hands-on sessions and group activities
6. Participants must use what they have learned in the training and present their findings in an individual report during the final session
If you meet the above criteria, please fill out this Google form to register!
Expected outcomes
The participants of the training will be able to:
1. Access and handle climate datasets (e.g., precipitation data in NetCDF format)
2. Pre-process the accessed datasets for unit conversion, masking, and merging with the help of CDO
3. Interpolate or fill the gaps in observed data with the reanalysis or satellite data
4. Visualize time series and spatial maps using Python tools
5. Develop and interpret seasonal climate patterns using mathematical and statistical methods
Training Details
Date: 15, 16, 17 & 19 May 2025
Venue: Kathmandu, Nepal
Time: 10:00 to 16:30
**Participants representing Women, Marginalized groups and Indigenous communities from Lower Karnali Watershed Region will be a priority
Total seats are limited to 15 participants. Selected candidates will be informed via email.
For inquiries, contact info@smallearth.org.np
