NAISS
SUPR
NAISS Projects
SUPR
Climate Modelling at the Bolin Centre for Climate Research
Dnr:

NAISS 2026/1-3

Type:

NAISS Large

Principal Investigator:

Frida Bender

Affiliation:

Stockholms universitet

Start Date:

2026-07-01

End Date:

2027-07-01

Primary Classification:

10501: Climate Science

Allocation

Abstract

This application is intended to provide computing time for climate modelling within Bolin Centre for Climate Research at Stockholm University. The Bolin Centre for Climate Research is a multi-disciplinary research environment, focused on fundamental Earth system science, that has for nearly two decades led knowledge production on critical processes in the climate system. Our research strives to understand natural climate evolution and variability, as well as changes imposed by the increasing human impact on the Earth System , and making projections of future climate change. This also has direct bearing on the world-wide effort to mitigate and adapt to climate change, that requires solid knowledge of the climate system and its sensitivity to external forcing. Modelling the climate system and its components over the range of temporal and spatial scales that are relevant, is a central part in building this knowledge. The Bolin Centre brings together scientists from the Departments of Meteorology, Environmental Science and Analytical Chemistry, Physical Geography, Geological Science, Ecology, Environment and Plant Sciences and Zoology at Stockholm University as well as FLOW at the Royal Institute of Technology (KTH) and the Rossby Centre at the Swedish Meteorological and Hydrological Institute (SMHI). Within these partner institu- tions there are numerous research applications based on numerical simulations, and the models or codes applied in each case are selected to suit the application, resulting in a collection of advanced codes that are developed, maintained, or refined by our scientists. Codes used span from global climate models (such as EC-Earth, CESM and NorESM) to fine-scale regional or local models (such as Neko and MIMICA), and other codes covering a range of complexities, to complement the studies with the comprehensive global models. With this, our research heavily relies on continued access to high performance computational resources. As seen from our reported publications, and list of granted funding, the Bolin Centre is a thriving research environment, for which HPC resources are essential. Applying as a consortium for computation and storage time brings our community together, and allows us to make the most efficient use of the resources. It also lowers the threshold for onboarding new community members to the HPC system and model codes, and thereby contributes to our aim to train the next generation of climate scientists.