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Published June 24, 2022 | Version 0.1.0
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Extreme temperature supplementary data visualzer

  • 1. University of Toronto

Description

This repository contains data and app source code for an interactive visualizer for supplementary data for Chapter 5: Detection and description of spatio-temporal patterns in multi-day extreme temperature events across Canada: A comparison of climatological observing windows in Comparative analysis of multi-day extreme temperature events across Canada; including methodological considerations, PhD Thesis of Conor I Anderson, (to be) submitted in conformity with the requirements for the degree of Doctor of Philosophy in Environmental Science, Department of Physical an Environmental Sciences, University of Toronto.

Data used in this visualizer are based on Environment and Climate Change Canada data (license) and created using functions that are available in the claut R package.

Files

Files (340.4 MB)

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md5:a5a38cd90bd70203747c20fb855d71d0
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md5:a9900c78301e303dd42e59ff98ee9515
283 Bytes Download