Remote Sensing in Climate Change Modelling Training Course
Introduction
Climate change is one of the most pressing global challenges of our time, demanding robust scientific understanding and effective mitigation and adaptation strategies. Climate Change Modelling relies heavily on comprehensive and consistent observational data to understand past and present climate dynamics, project future scenarios, and validate complex Earth System Models (ESMs). While traditional ground-based observations provide valuable point data, they are often spatially sparse and lack the continuous, global coverage necessary for large-scale climate studies. Remote Sensing from satellite, airborne, and increasingly, drone platforms has revolutionized climate science by providing an unprecedented wealth of data on various Essential Climate Variables (ECVs) across the atmosphere, land, and oceans. From monitoring changes in polar ice sheets and sea levels to tracking deforestation, land surface temperature, and atmospheric greenhouse gas concentrations, remote sensing offers a synoptic, repetitive, and objective view of the Earth's climate system. This continuous stream of data is critical for calibrating and validating climate models, identifying long-term trends, detecting climate anomalies, and refining our understanding of the physical processes driving climate change. Without proficiency in handling and integrating these vast and diverse remote sensing datasets, climate scientists, modelers, and environmental researchers would be limited in their ability to develop accurate climate projections and robust climate change impact assessments. Many professionals in the climate community understand the theoretical importance of remote sensing but lack the practical skills to effectively integrate this data into their modeling and analysis workflows.
Conversely, mastering Remote Sensing in Climate Change Modelling empowers professionals to leverage the full potential of Earth observation data to enhance climate model accuracy, validate projections, and conduct cutting-edge research on climate variability and change. This specialized skill set is crucial for transforming raw sensor data into powerful insights that directly support climate action, policy development, and resilience planning. Our intensive 5-day "Remote Sensing in Climate Change Modelling" training course is meticulously designed to equip climate scientists, climate modelers, environmental researchers, meteorologists, oceanographers, GIS professionals, and data scientists with the essential theoretical knowledge and practical, hands-on skills required to confidently utilize remote sensing data for understanding, modeling, and predicting climate change and its impacts.
Duration
5 Days
Target Audience
The "Remote Sensing in Climate Change Modelling" training course is ideal for a broad range of professionals and researchers involved in climate science, climate modeling, environmental monitoring, and policy development related to climate change. This includes:
Course Objectives
Upon successful completion of the "Remote Sensing in Climate Change Modelling" training course, participants will be able to:
Course Modules
Module 1: Foundations of Climate Change and Remote Sensing's Role
Module 2: Atmospheric ECVs from Remote Sensing
Module 3: Land Surface ECVs from Remote Sensing
Module 4: Ocean and Cryosphere ECVs from Remote Sensing
Module 5: Remote Sensing Data for Climate Model Initialization and Forcing
Module 6: Climate Model Validation and Evaluation with Remote Sensing
Module 7: Applied Remote Sensing for Climate Change Impact Assessment
Module 8: Cloud Computing, Big Data, and Future Directions
CERTIFICATION
TRAINING VENUE
AIRPORT PICK UP AND ACCOMMODATION
TERMS OF PAYMENT
Payment should be made to Macskills Development Institute bank account before the start of the training and receipts sent to info@macskillsdevelopment.com
Dates | Fees | Location | Action |
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08/09/2025 - 12/09/2025 | $1,750 | Mombasa |
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22/09/2025 - 26/09/2025 | $1,500 | Nairobi |
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06/10/2025 - 10/10/2025 | $1,750 | Mombasa |
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20/10/2025 - 24/10/2025 | $1,500 | Nairobi |
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03/11/2025 - 07/11/2025 | $1,750 | Mombasa |
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24/11/2025 - 28/11/2025 | $1,500 | Nairobi |
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24/11/2025 - 28/11/2025 | $1,500 | Nairobi |
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01/12/2025 - 05/12/2025 | $1,750 | Mombasa |
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08/12/2025 - 12/12/2025 | $1,500 | Nairobi |
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05/01/2026 - 09/01/2026 | $1,750 | Mombasa |
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26/01/2026 - 30/01/2026 | $1,500 | Nairobi |
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02/02/2026 - 06/02/2026 | $1,750 | Mombasa |
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23/02/2026 - 27/02/2026 | $1,500 | Nairobi |
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23/02/2026 - 27/02/2026 | $1,500 | Nairobi |
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02/03/2026 - 06/03/2026 | $1,750 | Mombasa |
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23/03/2026 - 27/03/2026 | $1,500 | Nairobi |
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13/04/2026 - 10/04/2026 | $1,750 | Mombasa |
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20/04/2026 - 24/04/2026 | $1,500 | Nairobi |
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04/05/2026 - 08/05/2026 | $1,750 | Mombasa |
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25/05/2026 - 29/08/2025 | $1,500 | Nairobi |
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01/06/2026 - 05/06/2026 | $1,750 | Mombasa |
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22/06/2026 - 26/06/2026 | $1,500 | Nairobi |
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