Teses/Dissertações reconhecidas pela UMa - Portaria 43-2020
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- Synergy between ground-based remote sensing instruments for retrieving microphysical-optical-radiative properties of atmospheric aerosolsPublication . Oliveira, Daniel Camilo Fortunato dos Santos; Sicard, Michaël; Rodríguez Gómez, Alejandro AntonioThe improvements in retrieving microphysical, optical, and radiative properties of aerosols can contribute to more detailed local observations and research, support local or global climate modeling and air quality forecasting, validate satellite products, and contribute to public policies. This PhD thesis aims at achieving such improvements through synergies between ground-based remote-sensing instruments. The objectives are to (1) evaluate the potential of an inversion algorithm, namely GRASP, for retrieving aerosol properties from the synergy between a polarized Sun-sky-lunar photometer and a state-of-the-art ACTRIS/EARLINET multi-wavelength lidar, and (2) estimate long-term aerosol radiative effects by combining net radiative fluxes from pyranometers and Aerosol Optical Depth (AOD) from photometers, and assessing GRASP’s ability to retrieve such effects on a case-by-case basis. To achieve Obj. 1, sensitive tests (noise-free and random noise retrievals) were performed with GRASP for several combinations of ground-based observations, including polarization information as GRASP inputs, for three aerosol scenarios in Barcelona, Spain. The sensitive tests showed that the addition of the Degree of Linear Polarization (DoLP) improved the noise-free and random-noise GRASP inversions, particularly under higher AOD. The gains were most notable for the coarse mode of the optical properties, and for the coarse mode of the Real Refractive Index. To achieve Obj. 2, a direct method was applied to estimate spectral Aerosol Forcing Efficiency (AFE) and Aerosol Radiative Forcing (ARF) for a 14-year database in Barcelona, Spain. The AFE-ARF estimations confirmed a dominant cooling forcing over Barcelona, with the strongest cooling effect caused by mineral dust, followed by urban/industrial-biomass burning and mixed aerosols. Furthermore, the GRASP inversions with DoLP were more accurate for the ARF, agreeing with the direct method in the high-AOD cases.
