Published April 26, 2022 | Version v1

Datasets for radiation emulator in a cloud resolving model

Authors/Creators

  • 1. KMA/NIMS

Description

Training sets used in the following reference to the RRTMG-K radiation emulator in a cloud resolving model

The structure of input and output variables is slightly changed from the GRL 2020 study.

Full datasets, without sub-sampling, are provided. 

3s_full.i and 3s_full.o are minimum and maximum values for input and output, respectively.  

See more details in readme file. 

Reference: Roh, S., and H.-J. Song, 2020, Evaluation of neural network emulations for radiation parameterization in cloud resolving model. Geophysical Research Letters, 47, e2020GL089444, doi:10.1029/2020GL089444

Files

Files (1.6 GB)

Name Size
md5:5647a6540bca8f1f13ef1c7f32dc43d2
5.2 kB Download
md5:57dc68d4832abd8ef76dd4747a043f4c
2.3 kB Download
md5:1304aa868e2794f5456edb380b2c7af3
1.6 GB Download
md5:4205615b98f6bd8ecc18c1e866bbb7c2
1.5 kB Download