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.
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.
Introduction to the analyses that will be undertaken by the University of Leicester on SLSTR in 2017: background on the ATSRs, the data gap, and future plans.