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The History and Practice of AI in the Environmental Sciences, , , , , , , , , and . Bulletin of the American Meteorological Society, 103 (5): E1351--E1370 (May 2022)A Machine Learning Outlook: Post-processing of Global Medium-range Forecasts., , , , , , , , , and . CoRR, (2023)Some neural network applications in environmental sciences. Part I: forward and inverse problems in geophysical remote measurements., and . Neural Networks, 16 (3-4): 321-334 (2003)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 NNs to retrieve multiple geophysical parameters from satellite data.. IJCNN, page 3774-3778. IEEE, (1999)Computational intelligence in earth sciences and environmental applications: Issues and challenges., , , and . Neural Networks, 19 (2): 113-121 (2006)Neural Networks Technique for Filling Gaps in Satellite Measurements: Application to Ocean Color Observations., , , , and . Comput. Intell. Neurosci., (2016)Reducing Uncertainties in Neural Network Jacobians and Improving Accuracy of Neural Network Emulations with NN Ensemble Approaches.. IJCNN, page 4587-4594. IEEE, (2006)How to deal with inhomogeneous outputs and high dimensionality of neural network emulations of model physics in numerical climate and weather prediction models., , , and . IJCNN, page 1668-1673. IEEE Computer Society, (2009)