AIRTO member NPL will work with ARIA to develop standards for the quality assurance of observational data collected by the programme through rigorous calibration and validation, as well as to support the storage, communication and curation of the programme’s data. Ensuring the reliability and accuracy of the data accelerates the programme’s aims of providing an early warning system for climate tipping, the consequences of climate tipping and how quickly any change will unfold.
This programme aims to prevent the catastrophic impacts of tipping points by providing the necessary information for making informed decisions on mitigation and adaption. This requires observational data and model outputs to be analysed and interpreted to a level where decision makers can confidently use it to inform policy.
