July 10, 1998 As the list becomes ever more ridiculously long, I have decided only to keep track of those articles I judged to be seminal and those that appear very interesting, but that I have not read. I am woefully behind in my reading, because the state of the field has matured to the point of sustaining a chain reaction. March 30, 1998 For a while I was trying to keep a running list of as many articles as possible in the field of neural networks (especially applications) in atmospheric science. Sometime in 1997 I gave up, as the number of such articles has blossomed and there have even been a few conferences on this specialty. Key: [+] --> sounds interesting, I but I haven't read it [*] --> I have read it, and it was fabulous [+] Allen, G. and Le Marshall, J. F. (1994). "An evaluation of neural networks and discriminant analysis methods for application in operational rain forecasting." Australian Meteorological Magazine 43(1): 17-28. Bankert, R. L. and Aha, D. W. (1996). "Improvement to a neural network cloud classifier." Journal of Applied Meteorology 35: 2036-2039. [+] Barros, A. P. and Ostrowski, J. T. (1996). Quantitative Precipitation Forecasting Using Artificial Neural Networks. University Park, Environmental Resources Research Institute, The Pennsylvania State University. [+] Bárdossy, A. (1995). Stochastic downscaling of GCM-output results using atmospheric circulation patterns. Space and Time Scale Variability and Interdependencies in Hydrological Processes. R. A. Feddes: 119-123. Butler, C. T. and Meredith, R. v. Z. (1996). "Retrieving atmospheric temperature parameters from DMSP SSM/T-1 data with a neural network." Journal of Geophysical Research 101(D3): 7075-7083. [*] Cawley, G.C. and Dorling, S.R., 1996. Reproducing a subjective classification scheme for atmospheric circulation patterns over the United Kingdom using a neural network. Proceedings International Conference on Neural Networks 1996 Churnside, J.H and Stermitz, T.A. and Schroeder, J.A., 1994. Temperature profiling with neural network inversion of microwave radiometer data. Journal of Atmospheric and Oceanic Technology, v11, n1, p105-109 Comrie, A.C., 1997. Comparing neural network and regression models for ozone forecasting. Journal of the Air and Waste Management Association, v47, p653-663 Côté, S. and Tatnall, A. R. L. (1995). "A neural network-based method for tracking features from satellite sensor images." International Journal of Remote Sensing 16(18): 3695-3701. Eckert, P and Cattani, D. and Ambuhl, J., 1996. Classification of ensemble forecasts by means of an artificial neural network. Meteorological Applications, v3, p169-178 [+] French, M. N., Krajewski, W. F. and Cuykendall, R. R. (1992). "Rainfall forecasting in space and time using a neural network." Journal of Hydrology 137: 1-31. Goodman, P. H. (1996). "NevProp Software 3.0." FTP ftp.scs.unr.edu /pub/cbmr/nevpropdir/, (June, 1997). [+] Gopal, S. and Scuderi, L. (1995). "Application of artificial neural networks in climatology: a case study of sunspot prediction and solar climate trends." Geographical Analysis 27(1): 42-59. [+] Goswami, P. and Srividya (1996). "A novel neural network design for long range prediction of rainfall pattern." Current Science 70(6): 447-457. [+] Goswami, P. (1996). "An experimental annual forecast of all-India mean summer monsoon rainfall using neural network." Current Science 70(12): 1039. [*] Greischar, L. and Hastenrath, S. (1995). "Neural network to predict short rains at the coast of East Africa for Boreal autumn 1995." Experimental Long-Lead Forecast Bulletin 4(3): 16. [*] Grieger, B. and Latif, M. (1994). "Reconstruction of the El Niño attractor with neural networks." Climate Dynamics 10: 267-276. [*] Hastenrath, S. and Greischar, L. (1995). "Prediction of the summer rainfall over South Africa." Journal of Climate 8: 1511-1518. [*] Hewitson, B. C. and Crane, R. (1992). "Large-scale atmospheric controls on local precipitation in tropical Mexico." Geophysical Research Letters 19(18): 1835-1838. [*] Hewitson, B. C. and Crane, R. G. (1996). "Climate downscaling: techniques and application." Climate Research 7: 85-95. Hsu, K.-l., Gupta, H. V. and Sorooshian, S. (1995). "Artificial neural network modeling of the rainfall-runoff process." Water Resources Research 31(10): 2517-2530. [+] Joubert, A. M. and Hewitson, B. C. (1997). "Simulating present and future climates of southern Africa using general circulation models." Progress in Physical Geography 21(1): 51-78. Karunanithi, N., Grenney, W. J., Whitley, D. and Bovee, K. (1994). "Neural networks for river flow prediction." Journal of Computing In Civil Engineering 8(2): 201-220. Key, J. R. (1994). Classification of Arctic Cloud and Sea ice Features in Multi-Spectral Satellite Data. Neural Nets: Applications in Geography. B. Hewitson and R. G. Crane: 145-179. [*] Kohonen, T. (1984). Self-Organization and Associative Memory. New York, Springer-Verlag. Krasnopolsky, V. M., Breaker, L. C. and Gemmill, W. H. (1995). "A neural network as a nonlinear transfer function model for retrieving surface wind speeds from special sensor micorwave imager." Journal of Geophysical Research 100(C6): 11033-11045. Lorrai, M. and Sechi, G. M. (1995). "Neural nets for modeling rainfall-runoff transformations." Water Resources Management 9: 299-313. [+] Lundstedt, H. (1992). "Neural networks and prediction of solar-terrestrial effects." Planetary and Space Science 40: 457-464. [*] Lundstedt, H. (1996). "Solar origin of geomagnetic storms and predictions." Journal of Atmospheric and Terrestrial Physics 58: 821-830. [*] Marzban, C. and Stumpf, G. J. (1996). "A neural network for tornado prediction based on doppler radar-derived attributes." Journal of Applied Meteorology 35: 617-626. Mason, J., Price, R. and Tem'me, A. (1996). "A neural network model of rainfall-runoff using radial basis functions." Journal of Hydraulic Research 34(4): 537-548. [*] Masters, T. (1993). Practical Neural Network Recipes in C++. Boston, Academic Press. [+] McCann, D. W. (1992). "A neural network short-term forecast of significant thunderstorms." Weather and Forecasting 7: 525-534. [+] McGinnis, D. L. (1994). Predicting snowfall from synoptic circulation: A Comparison of Linear Regression and Neural Network Methodologies. Neural Nets: Applications in Geography: 79-94. Minns, A. W. and Hall, M. J. (1996). "Artificial neural networks as rainfall-runoff models." Hydrological Sciences 41(3): 399-417. [*] Navone, H. and Ceccatto, H. (1994). "Predicting Indian monsoon rainfall: a neural network approach." Climate Dynamics 10: 305-312. Pankiewicz, G.S., 1997. Neural network classification of convective airmasses for a flood forecasting system. International Journal of Remote Sensing. v18, n4, p887-898 Peak, J.E. and Tag, P.M., 1992. Towards automated interpretation of satellite imagery for navy shipboard applications. Bulletin of the American Meteorological Society, v73, n7, p955-1008 [+] Raman, H. and Sunilkumar, N. (1995). "Multivariate modelling of water resources time series using artificial neural networks." Hydrological Sciences 40(2): 145-163. [+] Shaojin, Y. (1995). "Monthly mean temperature prediction based on a multi-level mapping model of neural network BP type." Advances in Atmospheric Sciences 12(2): 225-232. Smith, J. and Eli, R. N. (1995). "Neural-network models of rainfall-runoff process." Journal of Water Resources Planning and Management 121(6): 499-508. Stogryn, A.P and Butler, C.T. and Bartolac, T.J., 1994. Ocean surface wind retrievals from special sensor microwave imager data with neural networks. Journal of Geophysical Research, v99, C1, p981-984 [*] Tang, B., Flato, G. M. and Holloway, G. (1994). "A study of arctic sea ice and sea-level pressure using POP and neural network models." Atmosphere-Ocean 3: 507-529. [*] Tang, B., Hsieh, W. and Tangang, F. (1996). "Forecasts of Niño 3 SST a Using a Data Assimilating Neural Network Model." . [*] Tangang, F. T., Hsieh, W. V. and Tang, B. (1997). "Forecasting the equatorial sea surface temperatures by neural network models." Climate Dynamics 13: 135-147. Thiria, S and Mejia, C and Badran, F. and Crepon,M., 1993. A neural network approach for modeling nonlinear transfer functions : application for wind retrieval from spaceborne scatterometer data. Journal of Geophysical Research, v98, C12, p22827-22841 Tovinkere, V.R and Penaloza, M and Logar, A and Lee, J and Weger, R.C and Berendes, T.A. and Welch, R.M., 1993. An intercomparison of artificial intelligence approaches for polar scene identification. Journal of Geophysical Research, v98, D3, p5001-5016 [*] Verdecchia, M and Visconti, G and D'Andrea, F. and Tibaldi, S., 1996. A neural network approach for blocking recognition. Geophysical Research Letters, v23, n16, p2081-2084 Welch, R.M and Sengupta, S.K and Goroch, A.K and Rabindra, P and Rangaraj, N. and Navar, M.S., 1992. Polar cloud classification using AVHRR imagery - an intercomparison of methods. Journal of Applied Meteorology, v31, p405-420 [+] Wu, J.G. and Lundstedt, H., 1996. Prediction of geomagnetic storms from solar wind data using Elman recurrent neural networks. Geophysical Research Letters, v23, n4, p319-322 Yi, J. and Prybutok, R., 1996. A neural network model forecasting for prediction of daily maximum ozone concentration in an industrialized urban area. Environmental Pollution, v92, n3, p349-357 Zhang, M. and Scofield, R. A. (1994). "Artificial neural network techniques for estimating heavy convective rainfall and recognizing cloud mergers from satellite data." International Journal of Remote Sensing 15(16): 3241-3261.