Use AI/ML for Climate Prediction
Description
Two projects: leverage AI/ML tools to synthesize uncertainty quantification-targeted, complex, multi-scale, multi-domain observations into high-resolution processmodels to characterize 4D variability in aerosol dynamics and evolution, which accounts
Detailed example
Two projects: leverage AI/ML tools to synthesize uncertainty quantification-targeted, complex, multi-scale, multi-domain observations into high-resolution processmodels to characterize 4D variability in aerosol dynamics and evolution, which accounts for large uncertainties in climate models; partial differential equation solving using machine learning for simulating the aerosol-cloud-precipitation system that is recognized to be the key in forecasting weather and climate change
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
Two projects: leverage AI/ML tools to synthesize uncertainty quantification-targeted, complex, multi-scale, multi-domain observations into high-resolution processmodels to characterize 4D variability in aerosol dynamics and evolution, which accounts for large uncertainties in climate models; partial differential equation solving using machine learning for simulating the aerosol-cloud-precipitation system that is recognized to be the key in forecasting weather and climate change
Audit / financial statement impact
Does not meet definition
Controls / human review
ATO: Not reported; PIA: Not published