NOTES AND CORRESPONDENCE: Comments on 'New Approach to Calculation of Atmospheric Model Physics: Accurate and Fast Neural Network Emulation of Longwave Radiation in a Climate Model'

摘要

There exist specific applications for which neural networks can usefully simulate environmental processes. For instance, the neural-network-based longwave radiation scheme NeuroFlux is operationally used in the ECMWF data assimilation system, where Janiskova et al. (2002) could demonstrate that its advantages exceed its drawbacks. Krasnopolsky et al. (2002) present another successful application, in the field of ocean modeling. However, the limitations that my former coauthors and myself found for AGCM modeling are still topical and indicate directions for future research. Like any other parameterization technique, the relevance of neural networks needs to be regularly reevaluated with respect to the particular computational and scientific contexts where they are developed and used.