Published March 11, 2022 | Version v1

Data for "Machine Learning Parameterization of Subgrid-Scale Orographic Gravity Wave Drag in a Middle-Atmosphere General Circulation Model" by Lu et al., submitted to JAMES, 2022.

Authors/Creators

  • 1. Earth System Modeling and Prediction Centre, China Meteorological Administration

Description

The NetCDF data file involving the decision tree strucutre attributes of the random forest emulator.

gcm_regressors/
   The data file involving the decision tree strucutre attributes (in NetCDF format)

Files

Files (71.9 MB)

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md5:7629ae7202c5cd1c31753051009f84ee
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