Published July 5, 2018
| Version v0.1
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Trained model for predicting LHF, SHF, qt and sl throughout NG-Aqua
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Description
Trained neural network parametrizations. These are trained over the entire domain of the NG-Aqua using the SAM-derived estimates of the tendencies.
The inputs are: qt, sl, U, V, FQT, FSL, SST, SOLIN
The outputs are: LHF, SHF, qt, sl
Files
Files
(10.5 MB)
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md5:7f100039e3eeedcfb82c84ee92608bfc
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10.5 MB | Download |