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 complement in situ observations, which are often sparse and only locally representative. To improve our understanding of the complex behavior of the Earth system at the surface and sub-surface, we need large volumes of data from high-resolution modelling and remote sensing, since the Earth surface exhibits a high degree of heterogeneity and discontinuities in space and time. The spatial and temporal variability of the biosphere, hydrosphere, cryosphere and anthroposphere calls for an increased use of Earth observation (EO) data attaining volumes previously considered prohibitive. We review data availability and discuss recent examples where satellite remote sensing is used to infer observable surface quantities directly or indirectly, with particular emphasis on key parameters necessary for weather and climate prediction. Coordinated high-resolution remote-sensing and modelling/assimilation capabilities for the Earth surface are required to support an international application-focused effort.

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This position paper builds on textiles as a metaphor to explore the experiential knowledge observed through embodied design processes. In order to build understanding, we have tailored our tools and methods to support our explorations so far. As literature shows articulating our sensory experiences with materials is a challenging task. In order to support our investigations, in this paper we present a reflection on our diverse approaches to introduce tools that support us in interrogating how designers relate with materials, particularly textiles, and use their sensorial body to experience them during the creative process. We build on our previous research that identified relevant embodied process to textile selection, and reflect on how we have explored how sensing technology can augment and empower each of these phases, to support the design process. We conclude by discussing the learning outcomes from introducing such tools, in order to reflect on the future of our research. @en