paper
2023
Explainability, uncertainty & physics
Benchmarks, datasets & evaluation Review, survey or tutorial
OtherColorado State University (incl. CIRA)NOAA (incl. GFDL, PSL, GSL, NCEP/EMC) Journal
2023-04-01
055
Apr 2023
Katherine Haynes, Ryan Lagerquist, Marie McGraw et al.
Artificial Intelligence for the Earth Systems
Colorado State University (incl. CIRA), NOAA (incl. GFDL, PSL, GSL, NCEP/EMC)
Introduces six neural network uncertainty methods and evaluation scores for environmental science, demonstrated on dewpoint profiles and Himawari-8 convection prediction.
Explainability, uncertainty & physics
Creating and Evaluating Uncertainty Estimates with Neural Networks for Environmental-Science Applications
In one sentence. Introduces six neural network uncertainty methods and evaluation scores for environmental science, demonstrated on dewpoint profiles and Himawari-8 convection prediction.
Labels
- Topic
- Explainability, uncertainty & physics, Benchmarks, datasets & evaluation
- Type
- Review, survey or tutorial
- Method
- Other
- Domain
- Regional
- Data
- Satellite, Other
- Status
- Research
- Identifiers
- DOI:10.1175/aies-d-22-0061.1 OpenAlex:W4313893684
- Added
- 2026-10-22
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