In this paper, we review the use of satellite-based remote sensing in combination with in situ
data to inform Earth surface modelling. This involves verification and optimization methods
that can handle both random and systematic errors and result in effective model
improvement for both surface monitoring and prediction applications. The reasons for
diverse remote sensing data and products include (i) their complementary areal and
temporal coverage,(ii) their diverse and covariant information content, and (iii) their ability to …