Project

North Atlantic climate system integrated study (ACSIS)



Project Start: April 2017 | Project End: March 2021
Project Funder: NERC Cross-centre National Capability - led by NOC
Principal Investigator: Dr Ming-Xi Yang
Other Participants: Dr Frances Hopkins, Dr Ming-Xi Yang, Professor Philip Nightingale
Project Website: http://www.acsis.ac.uk/

Major changes are occurring across the North Atlantic climate system: in ocean and atmosphere temperatures and circulation, in sea ice thickness and extent, and in key atmospheric constituents such as ozone, methane and particles known as aerosols. Many observed changes are unprecedented in instrumental records. Changes in the North Atlantic directly affect the UK’s climate, weather and air quality, with major economic impacts on agriculture, fisheries, water, energy, transport and health. The North Atlantic also has global importance, since changes here drive changes in climate, hazardous weather and air quality further afield, such as in North America, Africa and Asia.

ACSIS is a 5 year strategic research programme that brings together and exploits a wide range of capabilities and expertise in the UK environmental science community. Its goal is to enhance the UK’s capability to detect, attribute and predict changes in the North Atlantic Climate System. ACSIS will deliver new understanding of the North Atlantic climate system by integrating new and old observations of atmospheric physics and chemistry of the ocean state and of Arctic ice. The observations will be complemented by detailed data analysis and numerical simulations. Observations will come from existing networks, from NERC’s own observational sites in the North Atlantic, and from space. Seasonal surveys using aeroplanes will further enhance our observational strategy. A key dimension of the observational opportunity is that data records of sufficient length, for multiple variables, are becoming available for the first time. The modelling component will involve core numerical simulations with cutting-edge atmosphere, ocean, sea ice, chemistry and aerosol models using the latest parameterizations and unprecedented spatial detail, as well as bespoke experiments to investigate specific time periods or to explore and explain particular observations.