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Compound Parameterization for a Quality Control of Outliers and Larger Errors in Neural Network Emulations of Model Physics.

, , and . IJCNN, page 391-395. IEEE, (2007)

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Compound Parameterization for a Quality Control of Outliers and Larger Errors in Neural Network Emulations of Model Physics., , and . IJCNN, page 391-395. IEEE, (2007)Tree approximation of the long wave radiation parameterization in the NCAR CAM global climate model., , , , , and . J. Comput. Appl. Math., 236 (4): 447-460 (2011)Using Ensemble of Neural Networks to Learn Stochastic Convection Parameterizations for Climate and Numerical Weather Prediction Models from Data Simulated by a Cloud Resolving Model., , and . Adv. Artificial Neural Systems, (2013)Ensemble of Neural Network Emulations for Climate Model Physics: The Impact on Climate Simulations., , and . IJCNN, page 4571-4576. IEEE, (2006)Development of neural network convection parameterizations for numerical climate and weather prediction models using cloud resolving model simulations., , and . IJCNN, page 1-8. IEEE, (2010)Neural network approach for robust and fast calculation of physical processes in numerical environmental models: Compound parameterization with a quality control of larger errors., , , and . Neural Networks, 21 (2-3): 535-543 (2008)Using neural network emulations of model physics in numerical model ensembles., , and . IJCNN, page 1523-1530. IEEE, (2008)