Abstract
Validation of GRASP algorithm product from POLDER/PARASOL data and assessment of multi-angular polarimetry potential for aerosol monitoring
Highlights
Over the past few decades, satellite remote sensing has provided essential advances in understanding the global distribution of atmospheric aerosols (Kaufman et al, 2002; Remer et al, 2008) and constraining aerosol climate effects (Bellouin et al, 2005; Myhre, 2009; Yu et al, 2006)
This study considers aerosol products at 10 km spatial resolution, which is the native resolution of Moderate Resolution Imaging Spectroradiometer (MODIS) Deep Blue (DB) and Dark Target (DT) products and seems to be the best compromise for comparing PARASOL/Generalized Retrieval of Atmosphere and Surface Properties (GRASP), MODIS DT, DB and Multi-Angle Implementation of Atmospheric Correction (MAIAC) results
We confirmed that the statistic metrics that we found for MODIS and PARASOL/Operational aerosol product validation in 2008 is similar to these studies
Summary
Over the past few decades, satellite remote sensing has provided essential advances in understanding the global distribution of atmospheric aerosols (Kaufman et al, 2002; Remer et al, 2008) and constraining aerosol climate effects (Bellouin et al, 2005; Myhre, 2009; Yu et al, 2006). Over the past few decades, satellite remote sensing techniques have developed rapidly and extensively, and various (primarily photometric) instruments have been developed and deployed to monitor atmospheric aerosols from space (Bréon et al, 2011; Dubovik et al, 2019; King et al, 1999; Kokhanovsky et al, 2015; Li et al, 2009; Tanré et al, 2011). The overall volume of polarimetric observations remains small compared to radiance-only photometric observations, the potential for rapid advancement is large
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