Climate Change Risk Threshold Database

The Risk Threshold Database (RTD) compiles climate parameter levels whose exceedence would increase the likelihood of damages and losses (D&Ls) associated with a given asset, investment, or locality. These can be applied to climate change screening of public assets, investments, and sub-national governments using the Geospatial Planning and Budgeting Platform (GPBP).

Data Stories

When Things Fall Apart

Exploring Climate Change Risk Scenario Threshold Implications

Increasing climate change exposures are likely to magnify disruption risks for local social and economic activity, including services associated with public infrastructure. Actual vulnerabilities will depend on the degree of resilience and adaptation to prevailing and amplifying extremes in climate. In the summer of 2022, England for the first-time experienced temperatures of over 40 degrees Celsius. Unaccustomed to these temperature levels, this led to the closure of one London airport and disrupted workplaces. This experience is likely to spur the installation of more air conditioners as one adaptation reaction.

Benchmarking Climate Consequences to Observed Public Asset & Investment Damage & Loss Levels

Articulating Likely Adverse Consequences for Specific Contexts

Damage and losses in the context of climate change risks to infrastructure refer to the negative impacts that climate change can have on physical infrastructure such as buildings, roads, bridges, and other critical facilities. Climate change can cause more frequent and severe extreme weather events, such as floods, storms, heatwaves, droughts, and wildfires, which can damage or destroy infrastructure and result in significant social and economic losses.

Accessing and Visualizing Digital Elevation Models with Python

A tutorial in Python with openly available DEM data

This blog summarises how to download, and visualise openly available global Digital Elevation Models for any geographic area of interest using Python