Neural Network Radiation Emulator (KMA/NIMS)
Authors/Creators
- 1. National Institute of Meteorological Sciences, Korea Meteorological Administration
Description
These files contain main source codes and datasets for the neural network (NN) radiation emulator (Song and Roh, 2021) as well as the compound parameterization (CP) of the NN emulator (Song et al., 2021).
Song, H.-J., & Roh, S. (2021). Improved weather forecasting using neural network emulation for radiation parameterization. Journal of Advances in Modeling Earth Systems, 13, e2021MS002609, https://doi.org/10.1029/2021MS002609.
Song, H.-J., Roh, S., & Park, H. (2021). Compound parameterization to improve the accuracy of radiation emulator in a numerical weather prediction model. Geophysical Research Letters, 48, e2021GL095043, https://doi.org/10.1029/2021GL095043.
Also, you can download the "tr.tar: training sets for NN radiation emulator and CP" and "met.tar: WPS metgrid files based on ERA5 reanalysis data". Monthly separated datasets are available in other Zenodo pages. See readme (in src.zip) for more information.
tr.tar (339GB): https://drive.google.com/file/d/1BIIzU6KdSKj6i1pFdgCayTiwrHuQUApo/view?usp=sharing
met.tar (289GB): https://drive.google.com/file/d/14z9jVHDSAn8xr7yaWXhHH4S6Ctmreeio/view?usp=sharing
January (31GB): https://doi.org/10.5281/zenodo.5528570
Februray (31GB): https://doi.org/10.5281/zenodo.5528591
March (31GB): https://doi.org/10.5281/zenodo.5529238
April (31GB): https://doi.org/10.5281/zenodo.5529244
May (31GB): https://doi.org/10.5281/zenodo.5529254
June (31GB): https://doi.org/10.5281/zenodo.5529256
July (31GB): https://doi.org/10.5281/zenodo.5529262
August (31GB): https://doi.org/10.5281/zenodo.5529268
September (31GB): https://doi.org/10.5281/zenodo.5529272
October (31GB): https://doi.org/10.5281/zenodo.5529274
November (31GB): https://doi.org/10.5281/zenodo.5529276
December (31GB): https://doi.org/10.5281/zenodo.5529280