Kayusi et al. (2025) Climate modeling, validation and uncertainty mapping methodologies and challenges

Identification

• Journal: Elsevier eBooks
• Year: 2025
• Date: 2025-12-06
• Authors: Fredrick Kayusi, Srinivas Kasulla, S. Malik, Bappaditya Koley
• DOI: 10.1016/b978-0-443-36396-2.00017-2

Research Groups

• Department of Environmental and Earth Sciences, Pwani University, Kilifi, Kenya
• Department of Environmental Studies, Geography and Planning, Maasai Mara University, Narok, Kenya
• Arka BRENStech Private Limited, Gurugram, Haryana, India
• Department of Geography, Bankim Sardar College, Parganas, West Bengal, India

Short Summary

This chapter reviews climate modeling, validation, and uncertainty mapping methodologies, highlighting the challenges and types of uncertainties inherent in climate models like Global Climate Models (GCMs), Regional Climate Models (RCMs), and Earth System Models (ESMs).

Objective

• To review and analyze the methodologies for climate modeling, validation, and uncertainty mapping, specifically addressing the sources, types, impacts, and reduction strategies for uncertainties in climate models.

Study Configuration

• Spatial Scale: Global to regional (implied by GCMs and RCMs).
• Temporal Scale: Climate timescales (long-term averages and distribution statistics, as opposed to short-term weather forecasts).

Methodology and Data

• Models used: Global Climate Models (GCMs), Regional Climate Models (RCMs), Earth System Models (ESMs), Numerical Weather Prediction (NWP) models (for contrast).
• Data sources: Not explicitly detailed in the provided text, but typically includes observational data, reanalysis products, and model outputs for validation in such reviews.

Main Results

• The provided text is an outline and introduction to a chapter. Specific quantitative results are not presented, but the chapter aims to discuss the characteristics of various climate models (GCMs, RCMs, ESMs), differentiate them from weather prediction models, and detail the sources, types, impacts, and methods for measuring and reducing uncertainties in climate modeling.

Contributions

• This chapter contributes a comprehensive review and synthesis of current methodologies and challenges in climate modeling, validation, and uncertainty mapping, providing a structured overview of uncertainty sources and reduction strategies for GCMs, RCMs, and ESMs.

Funding

• Not explicitly detailed in the provided text.

Citation

@article{Kayusi2025Climate,
  author = {Kayusi, Fredrick and Kasulla, Srinivas and Malik, S. and Koley, Bappaditya},
  title = {Climate modeling, validation and uncertainty mapping methodologies and challenges},
  journal = {Elsevier eBooks},
  year = {2025},
  doi = {10.1016/b978-0-443-36396-2.00017-2},
  url = {https://doi.org/10.1016/b978-0-443-36396-2.00017-2}
}