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

• Main Authors: Ruston, Benjamin, Karbou, Fatima, Trigo, Isabel F, Balsamo, Gianpaolo, Escobar, Vanessa M, Drusch, Matthias, Mecklenburg, Susanne
• Format: eBook
• Language: English
• Published: MDPI - Multidisciplinary Digital Publishing Institute 2019; MDPI
• Subjects: absorption coefficient; Bayesian bias correction; Book Industry Communication; BRDF; broadband emissivity; CDOM; Changjiang (Yangtze) estuary; direct and inverse methods; earth system modelling; earth-observations; East Africa; emissivity; GOCI; hyperspectral; infrared; land; land-surface model; Maqu network; MCD43C1; microwave remote sensing; MODIS; n/a; penetration depth; Q1-390; QAA inversion; radiation; rain gauge; Reference, information & interdisciplinary subjects; representative depth; Research & information: general; RTTOV; satellite data; satellite rainfall; soil effective temperature; soil moisture; surface; surface parameters; surface soil moisture; temporal autocorrelation; variational retrieval

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...