Completed projects

EMULATE

Large-scale air movements in the atmosphere are of great importance for the climate, especially at regional level. The way the calculation methods for predicting the climate include the movements is not without errors. The project "Enhancing mechanistic understanding of mid-latitude large-scale circulation errors" reduced these errors and increased the understanding of the movements.

ARCPATH

In the project "Arctic Climate Predictions - Pathways to Resilient, Sustainable Societies", researchers combined knowledge of regional climate warnings and socio-economic change in the Arctic to support responsible and sustainable development in the region.

CHEX

The project "Climate hazards and extremes" produced information on future climate hazards and extremes with great relevance for the development of guidelines from decision-makers, industrial and financial players and local authorities.

ALERTNESS

The project "Advanced models and weather prediction in the Arctic: Enhanced capacity from observations and polar process representations" developed methods and tools to produce better and more reliable weather forecasts for arctic areas. The focus was on events of great importance to the local population.

RISES

Ice covered all of Scandinavia approximately 13,000 years ago. It melted over time, and the project "Quantifying and understanding rates of ice sheet change" investigated how this happened in order to make estimates of how the Greenland ice sheet will melt in the future.

TOPVOYS

The project "Tools for optimizing performance of voyages at sea" worked on improving and implementing tools to make ship traffic safer, more environmentally friendly and optimized with regard to the weather, fuel consumption, emissions and minimal travel time.

ARCTIC SYNTHESIS

The project "Arctic synthesis of the Nordic sea" brought together the state of knowledge about past, present, and future climate change in the Nordic seas.

INTAROS

The project "Integrated Arctic Observation System" aimed to develop an effective Arctic observation system by expanding, improving and unifying existing and new systems across the Arctic. The data from many field experiments in deep sea, coastal and land areas contribute to climate monitoring and modeling in the Arctic.

SFE

Weather forecasts are rarely accurate more than five to ten days ahead. This is due to the chaotic nature of the weather, also known as the "butterfly effect". The "Seasonal Forecasting Engine" project has mainly involved using physical and statistical models to develop methods for calculating the probability of various weather scenarios from ten to a hundred days into the future.

NorDataNet

The "Norwegian Scientific Data Network" project developed a virtual data management system where existing geoscientific data management systems are linked together. The purpose is to simplify the process of finding, downloading and using scientific data.