Climate Shift Index Alerts – Climate Central

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Revealing the influence of climate change on local weather
May 1, 2024
Using the Climate Shift Index, Climate Central issues alerts when there’s a notable heat event around the world that was made more likely by human-caused climate change. We also produce retrospective analyses to track the local influence of climate change.
May 17, 2024: Western India
May 13, 2024: Florida
May 01, 2024: British Columbia
January 16, 2024: Canada winter warmth
December 21, 2023: U.S. Midwest winter warmth
September 05, 2023: United Kingdom
August 23, 2023: Europe
August 10, 2023: Florida and Puerto Rico
July 14, 2023: Southwestern U.S.
July 14, 2023: Europe
July 11, 2023: Spain
June 29, 2023: Western U.S.
June 22, 2023: Uttar Pradesh, India
June 15, 2023: Southwest
May 11, 2023: Pacific Northwest
Seasonal Attribution Report: An analysis of how climate change boosted temperatures worldwide between December 2023 and February 2024
The hottest 12-month stretch in recorded history (November 2022-October 2023)
Hot summer days linked to climate change in U.S. cities (U.S. summer 2023)
Carbon pollution boosted heat for billions during Earth’s hottest summer (northern hemisphere summer 2023)
Worldwide daily fingerprints of climate change during Earth’s hottest month (July 2023)
Climate Central’s Climate Shift Index, grounded in the latest peer-reviewed science, maps the influence of climate change on temperatures across the globe, every day. 
Climate Shift Index levels indicate how much human-caused climate change has altered the frequency of daily temperatures at a particular location. Level 1 indicates that climate change is detectable in that day’s temperature. Level 2 means that climate change made exceptionally warm temperatures in a given location at least twice as likely. Level 5 is the maximum and indicates temperatures at least 5 times more likely because of climate change.
For these analyses, forecast temperatures come from NOAA’s Global Forecast System model, and past actual temperatures come from the ERA5 dataset.
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