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Chemical hot gas cleaning of Alkali, Chlorine, and Sulphur species in a sorption enhanced gasification process at 650 °C
Systematic Review of Uncertainty Analysis in Prospective Life Cycle Assessment of Emerging Technologies
Juelich Rapid Spectral Simulation Code (JURASSIC) (v1.14)
The Juelich Rapid Spectral Simulation Code (JURASSIC) is a fast infrared radiative transfer model for the analysis of atmospheric remote sensing measurements
Determinants of L-band backscatter in dry tropical ecosystems: Implications for biomass mapping
Deep learning and generative artificial intelligence methods in enzyme and cell engineering
Synergetic impact of dual substitution on anionic–Cationic activity of P2-type sodium manganese oxide
This is MATE: A Multiple scAttering correcTion rEtrieval algorithm for accurate lidar profiling of seawater optical properties
Lidar has the capability to measure seawater vertical optical properties efficiently both day-time and night-time, though accurate retrieval is still challenging due to multiple scattering. Herein, we propose a Multiple scAttering correcTion and rEtrieval (MATE) algorithm suitable for shipborne, airborne and spaceborne lidars. The MATE algorithm provides the synchronous depth-resolved absorption, backscattering and diffuse attenuation co-efficients of seawater. A good consistency was obtained between retrieved results and the in situ data with a root mean square relative difference (RSMRD) of 6.36% for diffuse attenuation coefficient, corresponding to an improvement of 2 times over methods that neglect multiple scattering. These results indicate that the MATE algorithm has valuable application potential in the quantitative evaluation of marine biological parameters