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Climate change hotspots in the CMIP5 global climate model ensemble
Noah S Diffenbaugh1, Filippo Giorgi
1Department of Environmental Earth System Science and Woods Institute for the Environment, Stanford University, CA, USA.
Climatic Change
|September 10, 2013
Summary
This study identifies global climate change hotspots using a new metric that includes extreme seasons. Key areas like the Amazon and Sahel will experience persistent warming and precipitation changes throughout the 21st century.
Area of Science:
- Climate Science
- Environmental Science
- Geospatial Analysis
Background:
- Global climate change is a significant threat, with regional variations in impacts.
- Understanding climate change hotspots is crucial for effective adaptation and mitigation strategies.
- Previous metrics did not fully capture the influence of extreme seasonal variations.
Purpose of the Study:
- To develop and apply a statistical metric for identifying multi-dimensional climate change hotspots.
- To quantify the emergence and persistence of these hotspots across different climate model ensembles and forcing pathways.
- To inform climate change adaptation and mitigation by pinpointing vulnerable regions.
Main Methods:
- Utilized the Coupled Model Intercomparison Project Phase 5 (CMIP5) climate model ensemble.
- Developed a novel statistical metric incorporating extreme seasonal temperature and precipitation.
- Analyzed climate projections under Representative Concentration Pathways (RCP8.5 and RCP4.5) for the 21st century.
Main Results:
- Identified persistent climate change hotspots in the Amazon, Sahel, West Africa, Indonesia, and Tibetan Plateau.
- Highlighted emerging hotspots in Southern Africa, the Mediterranean, Arctic, and Central America/Western North America under increased forcing.
- Observed that aggregate change patterns are robust below 2°C global warming but intensify significantly at higher warming levels, particularly in Southern Africa, the Mediterranean, and the Arctic.
Conclusions:
- The study provides a robust quantification of climate change hotspots, considering extreme seasonal impacts.
- Identified regions require targeted mitigation and adaptation efforts due to projected significant climate change.
- The findings underscore the importance of considering multi-dimensional climate change metrics for accurate regional impact assessments.
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