Neural Network Radiation Scheme
Description
These files contain main source codes and datasets for developing neural network radiation scheme for the WRF model. The Ideal and real case simulations were seperated.
Reference: Song, H.-J., Roh, S., Lee, J., Nam, G., Yun, E., Yoon, J., & Kim, P. S. (2022). Benefits of stochastic weight averaging in developing neural network radiation scheme for numerical weather prediction. Journal of Advances in Modeling Earth Systems, 14, e2021MS002921. https://doi.org/10.1029/2021MS002921
Training and validation sets are given in following links:
January: https://doi.org/10.5281/zenodo.5530472
February: https://doi.org/10.5281/zenodo.5634729
March: https://doi.org/10.5281/zenodo.5634731
April: https://doi.org/10.5281/zenodo.5634733
May: https://doi.org/10.5281/zenodo.5634735
June: https://doi.org/10.5281/zenodo.5634737
July: https://doi.org/10.5281/zenodo.5636127
August: https://doi.org/10.5281/zenodo.5636129
September: https://doi.org/10.5281/zenodo.5636131
October: https://doi.org/10.5281/zenodo.5636134
November: https://doi.org/10.5281/zenodo.5636136
December: https://doi.org/10.5281/zenodo.5636138
Files
Files
(40.3 GB)
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7.4 GB | Download |
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24.0 kB | Download |
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md5:9d2ae584e1327c10c320642b93bfb512
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86.3 MB | Download |
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15.3 GB | Download |
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md5:e9da79ac058472331f3dfb75150f0c35
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15.3 GB | Download |