Combined science on climate models

Regional climate models have become important tools in providing detailed scenarios regarding climate change. There is now a comprehensive scientific description of SMHI’s models and how they can be used.

SMHI’s climate research unit, Rossby Centre, has been developing climate projection models for more than 10 years.
The regional models have become important tools for detailed information about climate development, and are also used to study the effects of a warmer climate.
In addition to wide general use across Europe, SMHI’s regional models have formed the basis for climate analyses in the Arctic, parts of South Africa, and North and South America.

They have also been a basis for palaeoclimatological projections, i.e. what the climate might have been like before direct observations began.

Scientific documentation

Combined documentation on SMHI’s regional climate models and examples of application areas have now been published in a special issue of the scientific journal Tellus.

A dozen articles describe how the model is structured and how it works, as well as focusing on other subjects such as uncertainty in the calculations, extreme weather in the future, and future scenarios for the Arctic.

The articles are written by personnel at the Rossby Centre, and by other scientists at and outside of SMHI who use regional projection models and their results.

“Obviously it is important that we document and publish our work. This special issue of Tellus presents a combined description of regional climate models that are accessible to all interested parties,” says Colin Jones, Head of the Rossby Centre.

The articles in the current issue of Tellus are available online. The journal will be published in printed form at a later stage.

Weighting of Regional climate models

In the scientific journal Climate Research is also a new documentation available on Regional Climate Model evaluation and weighting. 

Results are presented of the European Ensembles project, which designed and tested a weighting system for aggregated regional climate models. Several articles focus on the prediction of mean and extreme temperature and precipitation, as well as storm occurrences.