Ground-based retrievals of aerosols and trace gases from UV to near-infrared for validation and ancillary information of satellite-based algorithms
Abstract
Decades of efforts have led to remote sensing techniques from both ground and satellite providing reliable aerosol optical thickness. However, higher-order aerosol properties (e.g., particle size distribution, single-scattering albedo, and complex refractive indices) from satellites are yet limited and relatively more uncertain due to the lower measurement sensitivity and surface contributions. Such detailed aerosol information combined with trace gases is one of the key parameters for understanding their physicochemical processes in the atmosphere. Recently launched and/or upcoming hyperspectral sensors onboard both polar- and geostationary-orbit satellites aim to derive atmospheric composition at higher temporal and spatial resolution. Ground-based spectroradiometers in globally networked operations have provided reliable optical and physical properties of aerosols (e.g., AErosol RObotic NETwork) and trace gases (e.g., Pandonia Global Network) for validation and ancillary information of such satellite missions. In this talk, we present simultaneous retrievals of aerosol properties and trace gases (i.e., O3, H2O, and NO2) from SMARTs (Spectral Measurements for Atmospheric Radiative Transferspectroradiometer, or extended-range Pandora), which covers from about 330 nm to 800 nm at a high spectral resolution. We will also present relationships between the trace gases and aerosol properties measured from previous field campaigns including recent 7SEAS (Seven SouthEast Asian Studies), which suggests aging processes of smoke aerosols including hygroscopic growth can be a critical factor affecting temporal trends of aerosol optical properties over the region. We will also discuss preliminary results of the first GEMS (Geostationary Environment Spectrometer) validation campaign at Seosan, South Korea.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2021
- Bibcode:
- 2021AGUFM.A25J1818J