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Welcome to EQUIP - End-to-end quantification of uncertainty for impacts prediction

About Us

Our three-year consortium project brings together the UK climate modelling, statistical modelling, and impacts communities to work closely together for the first time on developing risk-based prediction for decision making in the face of climate variability and change

The project team includes researchers from the universities of Leeds, Exeter, Oxford, Edinburgh, Newcastle, Liverpool, Reading, the London School of Economics and the Plymouth Marine Laboratory. Project partners include the Met Office, Environment Agency and CAFOD. Our work will feed directly into future IPCC and Met Office assessments of climate change.

What's New

  1. Special Issue

    The Special Issue brings together climate, statistical and impacts analyses in order to improve methods for quantifying, reducing and communicating uncertainty in predictions of climate and its impacts.
    Climate models have for many years been run as ensembles, in order to capture the uncertainty associated with seasonal to multi-decadal prediction. Whilst it is increasingly common for [...]

  2. Strengthening resilience through improved treatment of uncertainty in weather, climate and impacts

    Strengthening resilience through improved treatment of uncertainty in weather, climate and impacts March 13th and 14th 2013, London.
    The meeting reviewed EQUIP progress and took a forward-looking view of uncertainty quantification at both weather and climate timescales. Sessions focused on Managing uncertainty in climate and its impacts, Quantifying uncertainty on timescales of days to seasons and [...]

Our Research Areas

  • Prediction methods

    Prediction methods

    We are developing new prediction methods to equip society for climate change. These methods can be used to examine a range of impacts, including our three key topics below.
  • Marine Ecosystems

    Marine Ecosystems

    Marine ecosystems supply critical goods such as food, renewable energy and transport, as well as crucial but less tangible services, such as climate regulation and waste assimilation.
  • Crop Production

    Crop Production

    Understanding how crops will react to climate change, and being able to predict yields, will assist the global effort to secure food supplies in some of the world's poorest nations.
  • Droughts and Heatwaves

    Droughts and Heatwaves

    Probabilistic predictions of changes in heatwaves and drought will aid planning and decision-making.