OMB Individually Reported
Correcting NASA NPOL weather radar beam blockage using machine learning approaches
Low riskExact public inventory row
Description
Our objective is to fill in blocked radar data using Convolutional Neural Networks (CNN). This project is in the early stages in preparing the data and model for training.
Detailed example
Predictions
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
This project will help fill in NASA NPOL blocked radar data from the Global Precipitation Measurement (GPM) mission Ground Validation (GV) field campaigns to better validate rainfall from space.
Controls / human review
ATO: Not reported; PIA: Not published