Climate change now detectable from any single day of weather at global scale View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2020-01-02

AUTHORS

Sebastian Sippel, Nicolai Meinshausen, Erich M. Fischer, Enikő Székely, Reto Knutti

ABSTRACT

For generations, climate scientists have educated the public that ‘weather is not climate’, and climate change has been framed as the change in the distribution of weather that slowly emerges from large variability over decades1–7. However, weather when considered globally is now in uncharted territory. Here we show that on the basis of a single day of globally observed temperature and moisture, we detect the fingerprint of externally driven climate change, and conclude that Earth as a whole is warming. Our detection approach invokes statistical learning and climate model simulations to encapsulate the relationship between spatial patterns of daily temperature and humidity, and key climate change metrics such as annual global mean temperature or Earth’s energy imbalance. Observations are projected onto this relationship to detect climate change. The fingerprint of climate change is detected from any single day in the observed global record since early 2012, and since 1999 on the basis of a year of data. Detection is robust even when ignoring the long-term global warming trend. This complements traditional climate change detection, but also opens broader perspectives for the communication of regional weather events, modifying the climate change narrative: while changes in weather locally are emerging over decades, global climate change is now detected instantaneously. More... »

PAGES

35-41

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41558-019-0666-7

DOI

http://dx.doi.org/10.1038/s41558-019-0666-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1123773983


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204 Seminar for Statistics, ETH Zurich, Zurich, Switzerland
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206 grid-institutes:grid.512126.3 schema:alternateName Swiss Data Science Center, ETH Zurich and EPFL, Lausanne, Switzerland
207 schema:name Swiss Data Science Center, ETH Zurich and EPFL, Lausanne, Switzerland
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209 grid-institutes:grid.5801.c schema:alternateName Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
210 Seminar for Statistics, ETH Zurich, Zurich, Switzerland
211 schema:name Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
212 Seminar for Statistics, ETH Zurich, Zurich, Switzerland
213 rdf:type schema:Organization
 




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