Blog

Using surface and TOA reflectance uncertainties and aerosol type uncertainties to constrain estimates of uncertainties in retrieved aerosol optical depth from AVHRR

The “Earth observation metrology” developing in FIDUCEO has much wider relevance: read a discussion paper about what’s beyond FIDUCEO.

Illustrating regression methods with animated GIF images and explaining how error correlations arise.

Outlining an alternative to the ordinary least squares approach for re-calibration of in-flight sensors.

Report from the joint meeting between then FIDUCEO and GAIA-CLIM projects

Lessons learned from metrological analysis of historic satellite missions suggest benefits from a new focus when developing future sensors.

A new paper shows progress in representing uncertainty in climate data, but the FIDUCEO approach will still bring a step change in rigour.

Our approach to managing the data generated by FIDUCEO.

Microwave sensors are used to measure upper tropospheric humidity, but the temperature of the on-board calibration target may drift slowly over time making long-term measurements difficult. To solve this, we employ a second reference for calibrating measurements – the moon

A synopsis of different algorithms for propagating uncertainty into the climate data record, including a link to a demonstrator of the powerful Algorithmic Differentiation method.