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UTCDW Guidebook
Chapter 1: Introduction
1.1 Setting Up Your Python Environment
Chapter 2: Intro to Climate Science and Modeling
2.1 Climate Basics
2.2 Climate Modeling
2.3 Climate Model Uncertainty
2.4 Chapter Summary
Chapter 3: Exploring Climate Data
3.1 Station Observations
3.2 Gridded Observations
3.3 Reanalysis Data
3.4 Climate Model Output from ESGF
3.5 Climate Model Data on Google Cloud
3.6 Climate Model Data with Intake-ESM
3.7 Chapter Summary
Chapter 4: Statistical Downscaling
4.1 Downscaling Basics
4.2 Bias-Correction Methods
4.3 Downscaling Methods
4.4 Downscaling Validation
4.5 Assessing Downscaled Climate Projections
4.6 Chapter Summary
Chapter 5: Downscaling Workflow
5.1 Climate Indicators
5.2 Data Selection
5.3 Exploratory Data Analysis
5.4 Producing Downscaled Projections
5.5 Chapter Summary
Chapter 6: Workflow Examples
6.1 Edmonton AC Loads: Single Simulation Analysis
6.2 Edmonton AC Loads: Multi-Model Analysis
6.3 Edmonton AC Loads: Multi-Scenario Analysis
6.4 Edmonton AC Loads: Near-Term Projections
6.5 Edmonton AC Loads: Gridded Example
6.6 Future Toronto Electricity Demands from Cooling
References
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