A decision tree algorithm for investigation of model biases related to dynamical cores and physical parameterizations

A decision tree algorithm for investigation of model biases related to dynamical cores and physical parameterizations

Abstract An object‐based evaluation method using a pattern recognition algorithm (i.e., classification trees) is applied to the simulated orographic precipitation for idealized experimental setups using the National Center of Atmospheric Research (NCAR) Community Atmosphere Model (CAM) with the fini...

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Bibliographic Details
Main Authors: M. Soner Yorgun, Richard B. Rood
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2016-12-01
Series:Journal of Advances in Modeling Earth Systems
Subjects:
global circulation models
orographic precipitation
model evaluation
machine learning
decision trees
Online Access:https://doi.org/10.1002/2016MS000657

Internet

https://doi.org/10.1002/2016MS000657

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