Instantaneous photosynthetically available radiation models for ocean waters using neural networks
Description
Neural network forward models were developed to predict subsurface vertical profile of instantaneous photosynthetically available radiation (IPAR) for both open ocean and coastal waters.
Detailed example
The outputs include surface IPAR and two fitting coefficient for IPAR's vertical profile.
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
The models can be used to estimate IPAR profiles on open ocean and coastal waters efficiently. The models are integrated into joint retrieval algorithm (FastMAPOL/component) for satellite retrieval of IPAR using polarimetric measurments.
Controls / human review
ATO: Not reported; PIA: Not published