Remote sensing of aerosol optical thickness from multi-wavelength and multi-pixel information over open and coastal ocean
Abstract
Conventional aerosol retrievals from satellite instrument are performed pixel to pixel independently, here we investigate the availability of spatial constraint from adjacent pixel information on the remote sensing of aerosol optical thickness (AOT) for multi-spectral satellite instrument over ocean. Simulations are performed for two representative oceanic conditions with open and coastal waters, respectively. We retrieve the AOT for fine, sea spray and dust particles simultaneously using synthetic spectral measurements from Greenhouse Gases Observing Satellite/Thermal and Near Infrared Sensor for Carbon Observations-Cloud and Aerosol Image (GOSAT/TANSO-CAI) at four wavelengths. Results show the accuracy of derived AOTs and remote sensing reflectance are both improved by applying smoothness constraint on the spatial variation of aerosol loading and oceanic substances concentrations. A comparison of retrieved AOTs from real TANSO-CAI measurements with those from Aerosol Robotic Network (AERONET) also indicates that retrievals conducted by multi-pixel scheme show more consistency to AERONET observations.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2018
- Bibcode:
- 2018AGUFM.A31G2908S
- Keywords:
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- 0305 Aerosols and particles;
- ATMOSPHERIC COMPOSITION AND STRUCTUREDE: 0319 Cloud optics;
- ATMOSPHERIC COMPOSITION AND STRUCTUREDE: 0321 Cloud/radiation interaction;
- ATMOSPHERIC COMPOSITION AND STRUCTUREDE: 0360 Radiation: transmission and scattering;
- ATMOSPHERIC COMPOSITION AND STRUCTURE