The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Default user image.

Markku Rummukainen

Professor

Default user image.

The evolution of extreme high and low temperatures in Sweden during 1882-2020

Author

  • Behnaz Pirzamanbein
  • Markku Rummukainen

Summary, in English

The ongoing climate change has been increasingly reflected in climate observations around the world, both in terms of averages and extremes, and attributed to anthropogenic climate forcing. When it comes to changing extremes, attribution to climate change is now especially well-established for heat-related extremes worldwide. Understanding changes in extremes is important for climate adaptation as well as for the general perception of ongoing climate change in society. On more regional and local scales, both detection and attribution of changes in extremes are more challenging than globally, due to the often high variability and in some cases the limited length and quality of available observational records.
In this study, we analyse the evolution of record high and low temperatures in Sweden, using high-quality temperature data from meteorological data from SMHI. We compare the number of records high and low temperature from a number of measurement sites to theoretical expectations. For example, a study of data from 36 stations during 1882-2020 shows that the daily records of high and low temperature (Tmin and Tmax) depart from a stationary climate (Fig. 1 and Table 1.) and the ratio between record high and record low temperature has a statistically significant increasing trend (Fig. 2).

Department/s

  • Department of Statistics
  • Centre for Environmental and Climate Science (CEC)
  • Dept of Physical Geography and Ecosystem Science

Publishing year

2022

Language

English

Document type

Conference paper: abstract

Topic

  • Probability Theory and Statistics
  • Climate Science

Conference name

Swedish Climate Symposium 2022

Conference date

2022-05-16 - 2022-05-18

Conference place

Norrköping, Sweden

Status

Published