Areté’s modeling expertise has been applied to address physical, biological, chemical and heterogeneous data problem areas. Our rigorously cross-validated models have been used to deliver exceptional performance for a wide range of applications and challenges worldwide.
To handle complex, real world forecasting challenges involving heterogeneous data, Areté builds hybrid models that combine ensemble machine learning methods and incisive structured components.
Areté has developed a rigorous physics-based model for high fidelity simulations of the ocean and atmosphere and the impacts on remote sensing systems. Our models comprehend the physical structure of the environment, the transfer of radiation through the environment, and the interaction and impact of the radiation through the sensor.
We incorporate Advanced Atmospherics and Advanced Hydrodynamics of the ocean surface including breaking waves. Our ocean and atmospheric models are validated for a robust range of environmental conditions and sensor systems.