09/19/2024 | Press release | Distributed by Public on 09/19/2024 03:52
This paper describes a data set of 14 temperature- and precipitation-related climate hazard indicators, calculated for 996 cities at the 1.5°C, 2.0°C, and 3.0°C global warming scenarios.
This Technical Note is part of Climate and WRI Ross Center for Sustainable Cities. Reach out to Ted Wong for more information.
This Technical Note is part of Climate and WRI Ross Center for Sustainable Cities. Reach out to Ted Wong for more information.
Global climate models can provide valuable information to city decision makers for strategic planning, climate adaptation, risk management, and budgeting-but it can be difficult to glean from these models information that is directly suited to city scales and city problems. This paper describes a new data set, which reports indicators based on 14 city-relevant climate hazards, calculated at a spatial resolution of 0.25-degree resolution (approximately 25 miles for many locations), for 996 large cities. The climate hazards were chosen for their importance for planning in public health, energy infrastructure, and the economic health of cities. The hazard indicators are provided for a 1994-2014 historical baseline as well as three levels of global warming: 1.5°C, 2.0°C, and 3.0°C above the baseline.
The data are based on these 10 temperature-based climate hazards:
and these precipitation-based climate hazards:
For each of these indicators, at each global warming level, the data include three estimates of the average magnitude of the hazard, and three estimates of the probability that the magnitude exceeds three extreme-magnitude thresholds.
The indicators are based on probabilistic models of hazard-magnitude frequency, which we parameterize using magnitudes found in models in the NEX-GDDP-CMIP6 family of downscaled climate simulations. The three estimates of each indicator come from the three best models for the particular hazard, for the particular location, where model selection is based on comparison with a historical-observation data set.
The data set and this paper were produced as part of a project, made possible by Bloomberg Philanthropies, to engage city-level leaders in the global climate policy process.
Cover image by momentcaptured1/Flickr
Accelerating urban climate action through collaborative and integrated planning and implementation
Helping cities adopt an integrated approach to improve the built environment, clean the air and tackle climate change.
Creating livable neighborhoods that build resilience, improve health, and equitably connect people and opportunities.
Filling data gaps, enabling insights and scaling infrastructure investment to reduce extreme heat in cities.
Research and Project Associate, Data & Tools, WRI Ross Center for Sustainable Cities