ThThe GRASP algorithm enables comprehensive retrieval of aerosols, surface properties, and trace gases by simultaneously leveraging multi-angular, spectral, and polarization measurements, outperforming traditional single-instrument approaches. Its advanced statistical optimization framework ensures reliable results even under challenging conditions, and recent extensions allow multi-species atmospheric monitoring (O₃, NO2, CH₄, CO2, SO2, H2O), providing capabilities previously unattainable with conventional methods. This makes GRASP a versatile, high-precision tool for integrating observations across satellites, ground-based networks, and laboratory instruments.
The GRASP-SYNERGY approach further advances atmospheric remote sensing by combining polar-orbiting satellites (3MI, TROPOMI, OLCI/Sentinel-3) with geostationary platforms (Sentinel-4), harmonizing diverse datasets to maximize information content and retrieval accuracy. By optimizing data processing, exploiting sensor correlations, and transferring information across platforms, GRASP-SYNERGY enables precise estimates of aerosol optical depth, particle size and absorption, surface properties, and trace-gas concentrations, setting a new benchmark for global, multi-platform monitoring.
Integration with international ground-based networks—including Pandora, AERONET, ACTRIS, and E-Profile—provides high-quality, multi-instrument datasets essential for detailed aerosol and trace-gas retrievals, including vertical profiles. These coordinated, multi-platform observations enhance understanding of radiative forcing, atmospheric chemistry, and air-quality dynamics, support climate modeling and prediction, and provide reliable data for evidence-based environmental policy and climate action worldwide.