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Thesis

Aerosol and surface properties remote sensing using AATSR

Abstract:

This thesis describes a new algorithm based on the optimal estimation approach for the retrieval of atmospheric aerosol and surface properties from the Advanced Along- Track Scanning Radiometer (AATSR). This algorithm is a further development on the Oxford-RAL Retrieval of Aerosol and Cloud (ORAC). The new algorithm is set up to use both visible and infrared channels of AATSR to retrieve aerosol optical depth (AOD), effective radius, white sky albedo at four wavelengths (550, 670, 870, and...

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Institution:
University of Oxford
Research group:
Earth Observation Data Group
Oxford college:
Lady Margaret Hall
Department:
Mathematical,Physical & Life Sciences Division - Physics - Atmospheric,Oceanic and Planetary Physics

Contributors

Role:
Supervisor
Publication date:
2014
Type of award:
DPhil
Level of award:
Doctoral
URN:
uuid:16e444e6-5da9-43da-a122-c50c7e6a2412
Local pid:
ora:8624

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