Applied climatology

Abareshi, B. and Schuepp, P. H. 1998: Sensible heat flux estimation over the FIFE site by neural networks. Journal of Atmospheric Science 55, 1185-1197.

Boznar, M. , Lesjak, M. and Mlakar, P. 1993: A neural network-based method for short-term prediction of ambient SO2 concentrations in highly industrial areas of complex terrain. Atmospheric Environment 27B, 221-230.

Cannon, A. J. and Lord, E. R. 2000: Forecasting summertime surface-level ozone concentrations in the Lower Fraser Valley of British Columbia: an ensemble NN approach. Journal of the Air and Waste Management Association 50, 322-339.

Cannon, A. J. and McKendry, I. G. 1999: Forecasting all-India monsoon rainfall using regional circulation principle components: a comparison between neural network and multiple regression models. International Journal of Climatology 19, 1561-1578.

Cavasos, T. 1997: Downscaling large-scale circulation to local winter rainfall in northeastern Mexico. International Journal of Climatology 17, 1069-1082.

Chevallier, F. , Chéruy, F. , Scott, N. A. and Chédin, A. 1998: A neural network approach for a fast and accurate computation of longwave radiation budget. Journal of Applied Meteorology 37, 1385-1397.

Christopherson, D. 1997: Artificial intelligence and weather forecasting: an update. AI Applications 11, 81-93.

Comrie, A. C. 1997: Comparing neural networks and regression models for ozone forecasting. Journal of the Air and Waste Management Association 47, 653-663.

Gardner, M. W. and Dorling, S. R. 1998: Artifical neural networks (the multi-layer perceptron) - a review of applications in the atmospheric sciences. Atmospheric Environment 32, 2627-2636.

Gardner, M. W. and Dorling, S. R. 1999: NN modelling and prediction of hourly NOx and NO2 concentrations in urban air in London. Atmospheric Environment 33, 709-719.

Gardner, M. W. and Dorling, S. R. 2000a: Statistical surface ozone models: an improved methodology to account for nonlinear behaviour. Atmospheric Environment 34, 21-34

Gardner, M. W. and Dorling, S. R. 2000b: Meteorologically adjusted trends in UK daily maximum surface ozone concentrations. Atmospheric Environment 34, 171-176.

Hall, T. , Brooks, H. and Doswell, C. I. 1999: Precipitation forecasting using a neural network. Weather and Forecasting 14, 338-345.

Hewitson, B. C. and Crane, R. C. 1992: Large scale atmospheric controls on local precipitation in tropical Mexico. Geophysical Research Letters 19, 1835-1836.

Hewitson, B. C. and Crane, R. C. , editors, 1994: Neural networks: application in geography. Dordrecht: Kluwer Academic.

Hewitson, B. C. and Crane, R. C. and Tang, B. 1998: Applying neural network models to prediction and data analysis in meteorology and oceanography. Bulletin of the American Meteorological Society 79, 1855-1870.

Jones, C. , Peterson, P. and Gautier, C. 1999: A new method for deriving ocean surface specific humidity and air temperature: an ANN approach. Journal of Applied Meteorology 38, 1229-1245.

Jorquera, H. , Perez, R. , Cipriano, A. Espejo, A. , Letelier, M. V. and Acuna, G. 1998: Forecasting ozone daily maximum levels at Santiago Chile. Atmospheric Environment 32, 3415-3424.

Key, J. R. 1994: Classification of Arctic cloud and sea ice features in multi-spectral satellite data. In Hewitson, B. C. and Crane, R. C. , editors, Neural networks: application in geography, Dordrecht: Kluwer Academic, 145-179.

Kuligowski, R. J. and Barros, A. P. 1998: Experiments in short-term precipitation forecasting using artifical neural networks. Monthly Weather Review 126, 470-482.

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.

McCann, D. W. 1992: A neural network short-term forecast of significant thunderstorms. Forecasting Techniques 7, 525-534.

McGinnis, D. L. 2000: Synoptic controls on upper Colorado River basin snowfall. International Journal of Climatology 20, 131-149.

Monahan, A. H. 2000: Nonlinear principle components analysis by neural networks: theory and application to the Lorenz system. Journal of Climate 13, 821-835.

Navone, H. D. and Ceccatto, H. A. 1994: Predicting India monsoon rainfall: a neural network approach. Climate Dynamics 10, 305-312.

Nunnari, G. , Nucifora, A. F. M. and Randieri, C. 1998: The application of neural techniques to the modelling of time series of atmospheric pollution data. Ecological Modeling 111, 187-205.

Pasini, A. and Potesta, S. 1995: Short-range visibility forecast by means of neural network modelling: a case study. Il Nuovo Cimento 18C, 505-516.

Pérez, P. , Trier, A. and Reyes, J. 2000: Prediction of PM2.5 concentrations several hours in advance using neural networks in Santiago, Chile. Atmospheric Environment 34, 1189-1196.

Reich, S. L. , Gomez D. R. and Dawidowski, L. E. 1999: ANN for the classification of unknown air pollution sources. Atmospheric Environment 33, 3045-3052.

Santamouris, M. , Mihalakakou, G. Papanikolaou, N. and Asimakopoulos, D. N. 1999: A neural network approach for modelling the heat island phenomenon in urban areas during the summer period. Geophysical Research Letters 26, 337-340.

Tangang, F. T. , Hsieh, W. W. and Tang, B. 1997: Forecasting the equatorial Pacific sea surface temperatures by neural network models. Climate Dynamics 13, 135-147.

Tangang, F. T. , Hsieh, W. W. and Tang, B. 1998: Forecasting regional sea surface temperatures in the tropical Pacific by neural network models, with wind stress and sea level pressure as predictors. Journal of Geophysical Research 103, 7511-7522.

Torcolini, J.C. 1997: Ozone and aerosol prediction in the Lower Fraser Valley of British Columbia: a neural network approach, unpublished M.Sc. thesis, Atmospheric Science, The University of British Columbia.

Vega-Garcia, C. , Lee, B. S. , Woodward, P. M. and Titus, S. J. 1996: Applying neural network technology to human-caused wildfire occurrence prediction. AI Applications 10, 9-18.

Weichert, A. and Bürger, G. 1998: Linear versus nonlinear techniques in downscaling. Climate Research 10, 83-89.

Weir, P. and McClung, D. M. 1994: Computer based artificial intelligence as an aid to BC MoTH’s Avalanche Forecasters. Avalanche News 43, 2-4.

Yi, J. and Prybutok, V. R. 1996: A neural network model forecasting prediction of daily maximum ozone concentration in an industrialized urban area. Environmental Pollution 92, 349-357.