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

• Hoofdauteur: Ruston, Benjamin (auth)
• Andere auteurs: Karbou, Fatima (auth), Trigo, Isabel F. (auth), Balsamo, Gianpaolo (auth), Escobar, Vanessa M. (auth), Drusch, Matthias (auth), Mecklenburg, Susanne (auth)
• Formaat: Elektronisch Hoofdstuk
• Taal: Engels
• Gepubliceerd in: MDPI - Multidisciplinary Digital Publishing Institute 2019
• Onderwerpen: 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 toegang: DOAB: download the publication; DOAB: description of the publication

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...