Advancing Earth Surface Representation via Enhanced Use of Earth Observations in Monitoring and Forecasting Applications

• Main Author: Ruston, Benjamin (auth)
• Other Authors: Karbou, Fatima (auth), Trigo, Isabel F. (auth), Balsamo, Gianpaolo (auth), Escobar, Vanessa M. (auth), Drusch, Matthias (auth), Mecklenburg, Susanne (auth)
• Format: Electronic Book Chapter
• Language: English
• Published: MDPI - Multidisciplinary Digital Publishing Institute 2019
• Subjects: direct and inverse methods; absorption coefficient; emissivity; land-surface model; n/a; variational retrieval; temporal autocorrelation; Bayesian bias correction; hyperspectral; infrared; BRDF; satellite rainfall; MCD43C1; penetration depth; RTTOV; earth-observations; earth system modelling; representative depth; land; Changjiang (Yangtze) estuary; CDOM; soil moisture; surface; Maqu network; surface soil moisture; MODIS; soil effective temperature; GOCI; microwave remote sensing; rain gauge; QAA inversion; broadband emissivity; radiation; surface parameters; satellite data; East Africa
• Online Access: DOAB: download the publication; DOAB: description of the publication

Summary

The representation of the Earth's surface in global monitoring and forecasting applications is moving towards capturing more of the relevant processes, while maintaining elevated computational efficiency and therefore a moderate complexity. These schemes are developed and continuously improved thanks to well instrumented field-sites that can observe coupled processes occurring at the surface-atmosphere interface (e.g., forest, grassland, cropland areas and diverse climate zones). Approaching global kilometer-scale resolutions, in situ observations alone cannot fulfil the modelling needs, and the use of satellite observation becomes essential to guide modelling innovation and to calibrate and validate new parameterization schemes that can support data assimilation applications. In this book, we review some of the recent contributions, highlighting how satellite data are used to inform Earth surface model development (vegetation state and seasonality, soil moisture conditions, surface temperature and turbulent fluxes, land-use change detection, agricultural indicators and irrigation) when moving towards global km-scale resolutions.

Physical Description

1 electronic resource (262 p.)

ISBN

books978-3-03921-065-7
9783039210640
9783039210657

Access

Open Access