Application of Neural Network to Radiative Transfer simulation for BUV hyperspectral sensor
Abstract
The accurate forward model simulation is essential in a physics-based spectral analysis to extract the atmospheric composition and surface information from remote-sensed measurements. Backscattered Ultraviolet(BUV) hyperspectral sensor is employed to measure key air quality components(such as O3, NO2, SO2, H2CO, and aerosols). In this spectral range, multiple light scattering is dominant, and a high-resolution simulation is required to resolve narrow absorption features, causing the high computational cost for the accurate simulation and hence, the accurate retrievals. To reduce the computational burden, the pre-calculated look-up table approach has been traditionally implemented as a forward model in the retrieval algorithm. In recent years, the Principle Component Analysis(PCA) and Neural Network technique have been applied to accelerate the hyperspectral radiative transfer calculation. In particular, the Neural Network based RT model is successfully operated in the retrieval of the aerosol height using the O2 A-band measured from TROPOspheric Ozone Monitoring Instrument(TROPOMI).
The purpose of this study is to experiment with the neural network to accelerate the hyperspectral BUV simulations, focused on the ozone profile fitting window(270-360 nm). The training and test dataset will be generated using the VLIDORT (Vector LInearlized Discrete Ordinate Radiative Transfer) model under the rayleigh scattering and gas absorption for the atmosphere and Lambertian reflectance for the surface. We will expend this approach for other spectral bands and radiative transfer scenarios(e.g., BRDF reflectance, aerosol scattering).- Publication:
-
AGU Fall Meeting Abstracts
- Pub Date:
- December 2019
- Bibcode:
- 2019AGUFM.A13K2960C
- Keywords:
-
- 0305 Aerosols and particles;
- ATMOSPHERIC COMPOSITION AND STRUCTURE;
- 0321 Cloud/radiation interaction;
- ATMOSPHERIC COMPOSITION AND STRUCTURE;
- 0345 Pollution: urban and regional;
- ATMOSPHERIC COMPOSITION AND STRUCTURE;
- 0360 Radiation: transmission and scattering;
- ATMOSPHERIC COMPOSITION AND STRUCTURE