paper
2019
Hybrid physics-ML & parameterization
Climate emulation New model or method
OtherOak Ridge National Laboratory Journal
2019-05-20
026
May 2019
Anikesh Pal, Salil Mahajan, Matthew Ross Norman
Geophysical Research Letters
Oak Ridge National Laboratory
Deep neural networks emulate SP-E3SM shortwave and longwave radiation with 90–95% accuracy at 8–10 times lower cost than the original scheme.
Hybrid physics-ML & parameterization
Using Deep Neural Networks as Cost‐Effective Surrogate Models for Super‐Parameterized E3SM Radiative Transfer
In one sentence. Deep neural networks emulate SP-E3SM shortwave and longwave radiation with 90–95% accuracy at 8–10 times lower cost than the original scheme.
Labels
- Topic
- Hybrid physics-ML & parameterization, Climate emulation
- Type
- New model or method
- Method
- Other
- Domain
- Global
- Data
- Other
- Status
- Research
- Identifiers
- DOI:10.1029/2018gl081646 OpenAlex:W2945963864
- Added
- 2026-10-22
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