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Ryan Lagerquist

Affiliation/Employer
CIRA
Partner Affiliation
none
ORCID
Not available
Publon ID
Not available

Publications

Corresponding Articles: 1

Ryan Lagerquist authored and/or contributed to the following articles/publications.

Machine-learned uncertainty quantification is not magic: Lessons learned from emulating radiative transfer with ML

Machine-learned uncertainty quantification (ML-UQ) has become a hot topic in environmental science, especially for neural networks. Scientists foresee the use of ML-UQ to make better decisions and assess the trustworthiness of the ML model. However, because ML-UQ is a new tool, its limitations are not yet fully appreciated. For example, some ...

Ryan Lagerquist
Institution National Oceanic and Atmospheric Administration - NOAA