Climate Data Processing

Overview

This repository contains the code and resources developed along with the University of Toronto Climate Research Department. The project aimed to address climate change-related challenges using statistical downscaling techniques and quantile mapping. The team worked on the challenges faced in Toronto Heat Vulnerability.

Team Members

• Mevan Solanga
• Samudra Perera
• Asli Bese
• Peter Angelinos

Problem Statement

Estimating where to place cooling stations in Toronto based on summertime hot days(number of days where Tmax > 30 °C) in the future (2071-2100) under SSP5-8.5 using downscaled CanESM5 data

Results

Climate Survey

Frequency Histogram of Temperatures in Toronto

Simulated Heatmap using Existing Temperature Data

Projected Heatmap with Cooling Centers Overlaid

Based on the findings from our data exploration and analysis, we chose to place cooling centers where there were no existing solutions, and that overlaid with low socio-economic areas. For our solution, we identified key locations owned by the City of Toronto that would be converted to makeshift cooling centers in these high risk areas.

Contents

• climate-data/: Contains maximum temperature and vapor pressure from the Daymet dataset along with compiled data.
• flowcharts/: Visual respresentation of.
• main-analysis/: Includes all code files and notebooks developed, visualizations, and any other relevant results.
• test/: Intial analysis trials.
• toronto-shape-models/: Contains the the overlayed toronto shape files.
• README.md: This file.

Acknowledgments

Documentation UTCDW