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Yu-Ju Lee

Partner Affiliation
Publon ID
Not available


Corresponding Articles: 3

Yu Ju Lee authored and/or contributed to the following articles/publications.

Machine Learning for Targeted Assimilation of Satellite Data

Optimizing the utilization of huge data sets is a challenging problem for weather prediction. To a significant degree, prediction accuracy is determined by the data used in model initialization, assimilated from a variety of observational platforms. At present, the volume of weather data collected in a given day greatly exceeds the ability of as...

Yu-Ju Lee
Institution National Oceanic and Atmospheric Administration - NOAA

Interpretable tropical cyclone intensity estimation using Dvorak-inspired machine learning techniques

The intensity of a tropical cyclone is correlated strongly to the damage it causes when it makes landfall. Most of the time, tropical cyclones are located over the open ocean, where direct intensity measurements are difficult to obtain. An alternative approach is to estimate the tropical cyclone intensity indirectly from satellite images. In thi...

Yu-Ju Lee
Institution National Oceanic and Atmospheric Administration - NOAA

Improving Satellite Observation Utilization for Model Initialization with Machine Learning: An Introduction and Tackling the “Labeled Dataset” Challenge for Cyclones Around the World

One of the National Oceanic and Atmospheric Administration (NOAA) goals is to provide timely and reliable weather forecasts to support important decisions when and where people need it for safety, emergencies, planning for day-to-day activities. Satellite data is essential for areas lacking in-situ observations for use as initial conditions in N...

Yu-Ju Lee