Do you work with satellite-derived datasets of physical environmental properties such as SST, stratospheric humidity or AOD?

Have you ever wondered about the true reliability of the datasets that you're using? Have you ever tried to track down the uncertainties in the data only to hit a dead end or go round in circles? Does your data even have pixel level uncertainties? Have you ever pushed back the thought that NOT knowing this could be a major problem?

We have. And that's why we've set up FIDUCEO.

The FIDUCEO project will build nine new climate datasets from Earth Observation using a rigorous treatment of uncertainty, informed from the discipline of metrology. We will produce four Fundamental Climate Data Records and five Climate Data Records, each with complete and traceable estimates of stability and uncertainty. 

FIDUCEO will also produce a suite of software tools for reading/writing the data and for performing metrologically rigorous analysis - including tools for stability analyses and ensemble creation.

All data, software tools and methods will be freely and openly accessible under the Creative Commons licence, where possible. Information about the project and our methods will be available in a variety of forms, including workshops and e-learning modules.

Our aim is to have a broad and lasting impact on the field of climate data from space.