Corresponding author address: F. Chevallier, Laboratoire des Sciences du Climat et de l’Environnement, Bat 701, L’Orme des Merisiers, 91191 Gif sur Yvette Cedex, France. Email: frederic.chevallier@cea.fr
Aires, F., M. Schmitt, A. Chédin, and N. A. Scott, 1999: The “weight smoothing” regularization of MLP for Jacobian stabilization. IEEE Trans. Neural Networks, 10 , 1502–1510.
Chéruy, F., F. Chevallier, J-J. Morcrette, N. A. Scott, and A. Chédin, 1996: Une méthode utilisant les techniques neuronales pour le calcul rapide de la distribution verticale du bilan radiatif thermique terrestre. C. R. Acad. Sci. Paris, 322 , 665–672.
Chevallier, F., 1994: Une nouvelle approche, par réseau de neurones, de la modélisation du transfert radiatif à des fins climatiques. Rep. from DEA “Méthodes Physiques en Télédétection,” University of Paris, 45 pp.
Chevallier, F., and J-F. Mahfouf, 2001: Evaluation of the Jacobians of infrared radiation models for variational data assimilation. J. Appl. Meteor., 40 , 1445–1461.
Chevallier, F., F. Chéruy, N. A. Scott, and A. Chédin, 1998: A neural network approach for a fast and accurate computation of longwave radiative budget. J. Appl. Meteor., 37 , 1385–1397.
Chevallier, F., A. Chédin, F. Chéruy, and J-J. Morcrette, 2000a: TIGR-like atmospheric situation databases for accurate radiative flux computation. Quart. J. Roy. Meteor. Soc., 126 , 777–785.
Chevallier, F., J-J. Morcrette, F. Chéruy, and N. A. Scott, 2000b: Use of a neural network-based longwave radiative transfer scheme in the ECMWF atmospheric model. Quart. J. Roy. Meteor. Soc., 126 , 761–776.
Cybenko, G., 1989: Approximation by superpositions of a sigmoidal function. Math. Control Signals Syst., 2 , 303–314.
Janisková, M., J-F. Mahfouf, J-J. Morcrette, and F. Chevallier, 2002: Linearized radiation and cloud schemes in the ECMWF model: Development and evaluation. Quart. J. Roy. Meteor. Soc., 128 , 1505–1528.
Krasnopolsky, V. M., D. V. Chalikov, and H. L. Tolman, 2002: A neural network technique to improve computational efficiency of numerical oceanic models. Ocean Modell., 4 , 363–383.
Krasnopolsky, V. M., M. S. Fox-Rabinovitz, and D. V. Chalikov, 2005: New approach to calculation of atmospheric model physics: Accurate and fast neural network emulation of long wave radiation in a climate model. Mon. Wea. Rev., 133 , 1370–1383.
Morcrette, J. J., 1991: Radiation and cloud radiative properties in the European Center for Medium Range Weather Forecasts forecasting system. J. Geophys. Res., 96 , D5,. 9121–9132.
Stainforth, D. A., and Coauthors, 2005: Uncertainty in predictions of the climate response to rising levels of greenhouse gases. Nature, 433 , 403–406.
Washington, W. M., and D. L. Williamson, 1977: A description of the NCAR GCM’s in general circulation models of the atmosphere. General Circulation Models of the Atmosphere, Vol. 17, Methods in Computational Physics, J. Chang, Ed., Academic Press, 111–172.
All Time | Past Year | Past 30 Days | |
---|---|---|---|
Abstract Views | 0 | 0 | 0 |
Full Text Views | 169 | 56 | 7 |
PDF Downloads | 104 | 16 | 0 |
Displayed acceptance dates for articles published prior to 2023 are approximate to within a week. If needed, exact acceptance dates can be obtained by emailing amsjol@ametsoc.org.
Corresponding author address: F. Chevallier, Laboratoire des Sciences du Climat et de l’Environnement, Bat 701, L’Orme des Merisiers, 91191 Gif sur Yvette Cedex, France. Email: frederic.chevallier@cea.fr
Corresponding author address: F. Chevallier, Laboratoire des Sciences du Climat et de l’Environnement, Bat 701, L’Orme des Merisiers, 91191 Gif sur Yvette Cedex, France. Email: frederic.chevallier@cea.fr
Aires, F., M. Schmitt, A. Chédin, and N. A. Scott, 1999: The “weight smoothing” regularization of MLP for Jacobian stabilization. IEEE Trans. Neural Networks, 10 , 1502–1510.
Chéruy, F., F. Chevallier, J-J. Morcrette, N. A. Scott, and A. Chédin, 1996: Une méthode utilisant les techniques neuronales pour le calcul rapide de la distribution verticale du bilan radiatif thermique terrestre. C. R. Acad. Sci. Paris, 322 , 665–672.
Chevallier, F., 1994: Une nouvelle approche, par réseau de neurones, de la modélisation du transfert radiatif à des fins climatiques. Rep. from DEA “Méthodes Physiques en Télédétection,” University of Paris, 45 pp.
Chevallier, F., and J-F. Mahfouf, 2001: Evaluation of the Jacobians of infrared radiation models for variational data assimilation. J. Appl. Meteor., 40 , 1445–1461.
Chevallier, F., F. Chéruy, N. A. Scott, and A. Chédin, 1998: A neural network approach for a fast and accurate computation of longwave radiative budget. J. Appl. Meteor., 37 , 1385–1397.
Chevallier, F., A. Chédin, F. Chéruy, and J-J. Morcrette, 2000a: TIGR-like atmospheric situation databases for accurate radiative flux computation. Quart. J. Roy. Meteor. Soc., 126 , 777–785.
Chevallier, F., J-J. Morcrette, F. Chéruy, and N. A. Scott, 2000b: Use of a neural network-based longwave radiative transfer scheme in the ECMWF atmospheric model. Quart. J. Roy. Meteor. Soc., 126 , 761–776.
Cybenko, G., 1989: Approximation by superpositions of a sigmoidal function. Math. Control Signals Syst., 2 , 303–314.
Janisková, M., J-F. Mahfouf, J-J. Morcrette, and F. Chevallier, 2002: Linearized radiation and cloud schemes in the ECMWF model: Development and evaluation. Quart. J. Roy. Meteor. Soc., 128 , 1505–1528.
Krasnopolsky, V. M., D. V. Chalikov, and H. L. Tolman, 2002: A neural network technique to improve computational efficiency of numerical oceanic models. Ocean Modell., 4 , 363–383.
Krasnopolsky, V. M., M. S. Fox-Rabinovitz, and D. V. Chalikov, 2005: New approach to calculation of atmospheric model physics: Accurate and fast neural network emulation of long wave radiation in a climate model. Mon. Wea. Rev., 133 , 1370–1383.
Morcrette, J. J., 1991: Radiation and cloud radiative properties in the European Center for Medium Range Weather Forecasts forecasting system. J. Geophys. Res., 96 , D5,. 9121–9132.
Stainforth, D. A., and Coauthors, 2005: Uncertainty in predictions of the climate response to rising levels of greenhouse gases. Nature, 433 , 403–406.
Washington, W. M., and D. L. Williamson, 1977: A description of the NCAR GCM’s in general circulation models of the atmosphere. General Circulation Models of the Atmosphere, Vol. 17, Methods in Computational Physics, J. Chang, Ed., Academic Press, 111–172.
All Time | Past Year | Past 30 Days | |
---|---|---|---|
Abstract Views | 0 | 0 | 0 |
Full Text Views | 169 | 56 | 7 |
PDF Downloads | 104 | 16 | 0 |