Downscaling Global Climate Models
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Seminar Slides
Introduction: Motivation
Introduction: Key Ideas
Background
Background: Related Work
Background: Gaps in the Research
Research Design: Project Stages
Research Design: Sites of Interest
Research Design: Evaluation Methods
Research Design: Quantifying Uncertainty
Research Design: Modelling
Research Design: Projections
Data Preprocessing: GCM Ensemble
Data Preprocessing: GCM Grid Selection
Data Preprocessing: GCM Time Scale
Data Preprocessing: Partitions
Model Development: Baseline Models
Model Development: Proposed Models
Model Development: Architecture Search
Model Development: Candidate Search
Results: Single Point Comparison
Results: 2d Grid Comparison
Results: MPI
Results: Projections
Results: Discussion
Conclusions Summary
Conclusions Limitations
Dissertation Chapters
Abstract
Acknowledgements
Chapter 1: Background
Chapter 2: Literature Review
Chapter 3: Materials and Method
Chapter 3: Region of Study
Chapter 3: Data Required for the Study
Chapter 3: Data Preparation
Chapter 3: Evaluation Metrics
Chapter 3: Model Development
Chapter 3: Summary
Chapter 4: Model Evaluation and Comparison
Chapter 4: Local Downscaling Comparison
Chapter 4: Universal Downscaling Comparison
Chapter 4: Summary
Chapter 5: Uncertainty of Models
Chapter 5: Assessment of Local Model
Chapter 5: Assessment of Universal Model
Chapter 5: Summary
Chapter 6: Projection of Climate Pathways
Chapter 6: Local Model Projection
Chapter 6: Universal Model Projection
Chapter 6: Summary
Chapter 7: Conclusion, Limitations and Further Work
Results
Single Point Comparison
CNN-LSTM model variants did exhibit better scores on the majority of sites.
Simplest GLM model performed quite well, comparatively.
GLMNET and RF models were the least performant.
Taylor Diagram Comparison
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Deep Dive: Chapter 4.
Downscaling Global Climate Models with Convolutional and Long-Short-Term Memory Networks for Solar Energy Applications
by
C.P. Davey
is licensed under a
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License
.