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Volumn 119, Issue , 2013, Pages 153-160

Rain intensity forecast using Artificial Neural Networks in Athens, Greece

Author keywords

Artificial Neural Networks; Athens; Greece; Rain intensity

Indexed keywords

ADVERSE EFFECT; ATHENS; ATHENS , GREECE; EXTREME WEATHER EVENTS; GREECE; METEOROLOGICAL DATA; PREDICTIVE MODELS; PROGNOSTIC MODEL; RAIN DAYS; RAIN-INTENSITY; STATISTICAL INDICES; STATISTICAL SIGNIFICANCE;

EID: 84870245889     PISSN: 01698095     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.atmosres.2011.07.020     Document Type: Article
Times cited : (59)

References (55)
  • 1
    • 67349226876 scopus 로고    scopus 로고
    • Long-term precipitation variability on thunderstorm days in Poland (1951-2000)
    • Bielec-Bakowska S., Lupikasza E. Long-term precipitation variability on thunderstorm days in Poland (1951-2000). Atmos. Res. 2009, 93:506-515.
    • (2009) Atmos. Res. , vol.93 , pp. 506-515
    • Bielec-Bakowska, S.1    Lupikasza, E.2
  • 2
    • 0000437839 scopus 로고    scopus 로고
    • Prediction of extreme precipitation using a neural network: application to summer flood occurrence in Moravia
    • Bodri L., Cermak V. Prediction of extreme precipitation using a neural network: application to summer flood occurrence in Moravia. Adv. Eng. Softw. 2000, 31:211-221.
    • (2000) Adv. Eng. Softw. , vol.31 , pp. 211-221
    • Bodri, L.1    Cermak, V.2
  • 5
    • 0031172117 scopus 로고    scopus 로고
    • Comparing neural networks and regression models for ozone forecasting
    • Comrie A.C. Comparing neural networks and regression models for ozone forecasting. J. Air Waste Manage. 1997, 47:653-663.
    • (1997) J. Air Waste Manage. , vol.47 , pp. 653-663
    • Comrie, A.C.1
  • 6
    • 38049027371 scopus 로고    scopus 로고
    • Performance of neural network models with Kalman learning rule for flow routing in a river system
    • Diamantopoulou M.J., Georgiou P.E., Papamichail D.M. Performance of neural network models with Kalman learning rule for flow routing in a river system. Fresenius Environ. Bull. 2007, 16(11b):1474-1484.
    • (2007) Fresenius Environ. Bull. , vol.16 , Issue.11 B , pp. 1474-1484
    • Diamantopoulou, M.J.1    Georgiou, P.E.2    Papamichail, D.M.3
  • 8
    • 14844322189 scopus 로고    scopus 로고
    • Prediction of total monthly rainfall in Jordan using feed forward back propagation method
    • Freiwan M., Cigizoglu H.K. Prediction of total monthly rainfall in Jordan using feed forward back propagation method. Fresenius Environ. Bull. 2005, 14(2):142-151.
    • (2005) Fresenius Environ. Bull. , vol.14 , Issue.2 , pp. 142-151
    • Freiwan, M.1    Cigizoglu, H.K.2
  • 9
    • 0027007868 scopus 로고
    • Rainfall forecasting in space and time using neural network
    • French M.N., Krajewski W.F., Cuykendall R.R. Rainfall forecasting in space and time using neural network. J. Hydrol. 1992, 137:1-31.
    • (1992) J. Hydrol. , vol.137 , pp. 1-31
    • French, M.N.1    Krajewski, W.F.2    Cuykendall, R.R.3
  • 10
    • 0035370678 scopus 로고    scopus 로고
    • Quantitative flood forecasting using multisensor data and neural networks
    • Gwangseob K., Ana P.B. Quantitative flood forecasting using multisensor data and neural networks. J. Hydrol. 2001, 246:45-62.
    • (2001) J. Hydrol. , vol.246 , pp. 45-62
    • Gwangseob, K.1    Ana, P.B.2
  • 11
    • 77949419455 scopus 로고    scopus 로고
    • Future changes in the relationship of precipitation intensity in Eastern Mediterranean with large scale circulation
    • Hatzaki M., Flocas H.A., Oikonomou C., Giannakopoulos C. Future changes in the relationship of precipitation intensity in Eastern Mediterranean with large scale circulation. Adv. Geosci. 2010, 23:31-36.
    • (2010) Adv. Geosci. , vol.23 , pp. 31-36
    • Hatzaki, M.1    Flocas, H.A.2    Oikonomou, C.3    Giannakopoulos, C.4
  • 13
    • 0020118274 scopus 로고
    • Neural networks and physical systems with emergent collective computational abilities
    • Hopfield J.J. Neural networks and physical systems with emergent collective computational abilities. PNAS 1982, 9:2554-2558.
    • (1982) PNAS , vol.9 , pp. 2554-2558
    • Hopfield, J.J.1
  • 14
    • 0001041635 scopus 로고
    • Learning algorithms and probability distributions in feed-forward and feed-back networks
    • Hopfield J.J. Learning algorithms and probability distributions in feed-forward and feed-back networks. PNAS 1987, 84:8429-8433.
    • (1987) PNAS , vol.84 , pp. 8429-8433
    • Hopfield, J.J.1
  • 17
    • 0034739912 scopus 로고    scopus 로고
    • Neural networks and periodic components used in air quality forecasting
    • Kolehmainen M., Martikainen H., Ruuskanen J. Neural networks and periodic components used in air quality forecasting. Atmos. Environ. 2001, 35:815-825.
    • (2001) Atmos. Environ. , vol.35 , pp. 815-825
    • Kolehmainen, M.1    Martikainen, H.2    Ruuskanen, J.3
  • 19
    • 0034737033 scopus 로고    scopus 로고
    • A study of optimal model lag and spatial inputs to artificial neural networks for rainfall forecasting
    • Luck K.C., Ball J.E., Sharma A. A study of optimal model lag and spatial inputs to artificial neural networks for rainfall forecasting. J. Hydrol. 2000, 227(1-4):56-65.
    • (2000) J. Hydrol. , vol.227 , Issue.1-4 , pp. 56-65
    • Luck, K.C.1    Ball, J.E.2    Sharma, A.3
  • 20
    • 33846622899 scopus 로고    scopus 로고
    • Sounding-derived indices for neural network based short-term thunderstorm and rainfall forecasts
    • Manzatο Α. Sounding-derived indices for neural network based short-term thunderstorm and rainfall forecasts. Atmos. Res. 2007, 83:349-365.
    • (2007) Atmos. Res. , vol.83 , pp. 349-365
    • Manzatο, Α.1
  • 21
    • 77957774873 scopus 로고    scopus 로고
    • Optimum neural network architecture for precipitation prediction of Myanmmar
    • Mar K.W., Naing T.T. Optimum neural network architecture for precipitation prediction of Myanmmar. World Acad. Sci. Eng. Technol. 2008, 38:130-134.
    • (2008) World Acad. Sci. Eng. Technol. , vol.38 , pp. 130-134
    • Mar, K.W.1    Naing, T.T.2
  • 22
    • 33746925276 scopus 로고    scopus 로고
    • Neural-network approach to ground-based passive microwave estimation of precipitation intensity and extinction
    • Marzano F.S., Fionda E., Ciotti P. Neural-network approach to ground-based passive microwave estimation of precipitation intensity and extinction. J. Hydrol. 2006, 328:121-131.
    • (2006) J. Hydrol. , vol.328 , pp. 121-131
    • Marzano, F.S.1    Fionda, E.2    Ciotti, P.3
  • 23
    • 67349163248 scopus 로고    scopus 로고
    • A study of a heavy rainfall event and a tornado outbreak during the passage of a squall line over Catalonia
    • Mateo J., Ballart D., Brucet C., Aran M., Bech J. A study of a heavy rainfall event and a tornado outbreak during the passage of a squall line over Catalonia. Atmos. Res. 2009, 93:131-146.
    • (2009) Atmos. Res. , vol.93 , pp. 131-146
    • Mateo, J.1    Ballart, D.2    Brucet, C.3    Aran, M.4    Bech, J.5
  • 24
    • 51249194645 scopus 로고
    • A logical calculus of the ideas imminent in nervous activity
    • McCulloch W., Pitts W. A logical calculus of the ideas imminent in nervous activity. Bull. Math. Biophys. 1943, 5:33-115.
    • (1943) Bull. Math. Biophys. , vol.5 , pp. 33-115
    • McCulloch, W.1    Pitts, W.2
  • 25
    • 0034164401 scopus 로고    scopus 로고
    • Neural network model for predicting peak photochemical pollutant levels
    • Melas D., Kioutsoukis I., Ziomas I. Neural network model for predicting peak photochemical pollutant levels. J. Air Waste Manage. 2000, 50:495-501.
    • (2000) J. Air Waste Manage. , vol.50 , pp. 495-501
    • Melas, D.1    Kioutsoukis, I.2    Ziomas, I.3
  • 27
    • 0035442696 scopus 로고    scopus 로고
    • Classification of rainfall variability by using artificial neural networks
    • Michaelides S.C., Pattichis C.S., Kleovoulou G. Classification of rainfall variability by using artificial neural networks. Int. J. Climatol. 2001, 21:1401-1414.
    • (2001) Int. J. Climatol. , vol.21 , pp. 1401-1414
    • Michaelides, S.C.1    Pattichis, C.S.2    Kleovoulou, G.3
  • 28
    • 67949089846 scopus 로고    scopus 로고
    • 24 hours in advance forecasting of thermal comfort-discomfort levels during the hot period of the year at representative locations of Athens city, Greece
    • Moustris K., Ziomas I.C., Paliatsos A.G. 24 hours in advance forecasting of thermal comfort-discomfort levels during the hot period of the year at representative locations of Athens city, Greece. Fresenius Environ. Bull. 2009, 18(5):601-608.
    • (2009) Fresenius Environ. Bull. , vol.18 , Issue.5 , pp. 601-608
    • Moustris, K.1    Ziomas, I.C.2    Paliatsos, A.G.3
  • 31
    • 77954496496 scopus 로고    scopus 로고
    • Tornado activity in Greece within the 20th century
    • Nastos P.T., Matsangouras J.T. Tornado activity in Greece within the 20th century. Adv. Geosci. 2010, 26:49-51.
    • (2010) Adv. Geosci. , vol.26 , pp. 49-51
    • Nastos, P.T.1    Matsangouras, J.T.2
  • 32
    • 34247571331 scopus 로고    scopus 로고
    • On extreme daily precipitation totals at Athens, Greece
    • Nastos P.T., Zerefos C.S. On extreme daily precipitation totals at Athens, Greece. Adv. Geosci. 2007, 10:59-66.
    • (2007) Adv. Geosci. , vol.10 , pp. 59-66
    • Nastos, P.T.1    Zerefos, C.S.2
  • 33
    • 42149112263 scopus 로고    scopus 로고
    • Decadal changes in extreme daily precipitation in Greece
    • Nastos P.T., Zerefos C.S. Decadal changes in extreme daily precipitation in Greece. Adv. Geosci. 2008, 16:55-62.
    • (2008) Adv. Geosci. , vol.16 , pp. 55-62
    • Nastos, P.T.1    Zerefos, C.S.2
  • 34
    • 70449686638 scopus 로고    scopus 로고
    • Spatial and temporal variability of consecutive dry and wet days in Greece
    • Nastos P.T., Zerefos C.S. Spatial and temporal variability of consecutive dry and wet days in Greece. Atmos. Res. 2009, 94:616-628.
    • (2009) Atmos. Res. , vol.94 , pp. 616-628
    • Nastos, P.T.1    Zerefos, C.S.2
  • 35
    • 0034536962 scopus 로고    scopus 로고
    • Artificial neural network estimation of rainfall intensity from radar observations
    • Orlandini S., Morlini I. Artificial neural network estimation of rainfall intensity from radar observations. J. Geophys. Res. 2000, 105(D20):24849-24861.
    • (2000) J. Geophys. Res. , vol.105 , Issue.D20 , pp. 24849-24861
    • Orlandini, S.1    Morlini, I.2
  • 37
    • 34248390876 scopus 로고    scopus 로고
    • Development and assessment of neural network and multiple regression models in order to predict PM10 levels in a medium-sized Mediterranean city
    • Papanastasiou D.K., Melas D., Kioutsioukis I. Development and assessment of neural network and multiple regression models in order to predict PM10 levels in a medium-sized Mediterranean city. Water Air Soil Pollut. 2007, 182:325-334.
    • (2007) Water Air Soil Pollut. , vol.182 , pp. 325-334
    • Papanastasiou, D.K.1    Melas, D.2    Kioutsioukis, I.3
  • 40
    • 70449678594 scopus 로고    scopus 로고
    • North Atlantic Oscillation influence and weather types associated with winter total and extreme precipitation events in Spain
    • Queralt S., Hernández E., Barriopedro D., Gallego D., Ribera P., Casanova C. North Atlantic Oscillation influence and weather types associated with winter total and extreme precipitation events in Spain. Atmos. Res. 2009, 94:675-683.
    • (2009) Atmos. Res. , vol.94 , pp. 675-683
    • Queralt, S.1    Hernández, E.2    Barriopedro, D.3    Gallego, D.4    Ribera, P.5    Casanova, C.6
  • 41
    • 11144273669 scopus 로고
    • The Perceptron: a probabilistic model for information storage and organization in the brain
    • Rosenblatt F. The Perceptron: a probabilistic model for information storage and organization in the brain. Psychol. Rev. 1958, 65(6):386-408.
    • (1958) Psychol. Rev. , vol.65 , Issue.6 , pp. 386-408
    • Rosenblatt, F.1
  • 42
    • 0034105661 scopus 로고    scopus 로고
    • All India summer monsoon rainfall prediction using an artificial neural network
    • Sahai A.K., Soman M.K., Satyan V. All India summer monsoon rainfall prediction using an artificial neural network. Clim. Dyn. 2000, 16:291-302.
    • (2000) Clim. Dyn. , vol.16 , pp. 291-302
    • Sahai, A.K.1    Soman, M.K.2    Satyan, V.3
  • 43
    • 1842613520 scopus 로고    scopus 로고
    • Prediction of the total rainfall amount during August and November in the Athens area, Greece
    • Sakellariou N.K., Kambezidis H.D. Prediction of the total rainfall amount during August and November in the Athens area, Greece. Fresenius Environ. Bull. 2004, 13(3):289-292.
    • (2004) Fresenius Environ. Bull. , vol.13 , Issue.3 , pp. 289-292
    • Sakellariou, N.K.1    Kambezidis, H.D.2
  • 44
    • 33749656875 scopus 로고    scopus 로고
    • Dissolved oxygen estimation using artificial neural network for water quality control
    • Sengorur B., Dogan E., Koklu R., Samandar A. Dissolved oxygen estimation using artificial neural network for water quality control. Fresenius Environ. Bull. 2006, 15(9):1064-1067.
    • (2006) Fresenius Environ. Bull. , vol.15 , Issue.9 , pp. 1064-1067
    • Sengorur, B.1    Dogan, E.2    Koklu, R.3    Samandar, A.4
  • 45
    • 0034127203 scopus 로고    scopus 로고
    • Artificial neural networks and long-range precipitation predictions in California
    • Silverman D., Dracup J.A. Artificial neural networks and long-range precipitation predictions in California. J. Appl. Meteorol. 2000, 39(1):57-66.
    • (2000) J. Appl. Meteorol. , vol.39 , Issue.1 , pp. 57-66
    • Silverman, D.1    Dracup, J.A.2
  • 46
    • 70449698039 scopus 로고    scopus 로고
    • Areal distribution and precipitation-altitude relationship of heavy short-term precipitation in the Czech Republic in the warm part of the year
    • Sokol Z., Bližňák V. Areal distribution and precipitation-altitude relationship of heavy short-term precipitation in the Czech Republic in the warm part of the year. Atmos. Res. 2009, 94:652-662.
    • (2009) Atmos. Res. , vol.94 , pp. 652-662
    • Sokol, Z.1    Bližňák, V.2
  • 47
    • 60649085453 scopus 로고    scopus 로고
    • Irreversible climate change due to carbon dioxide emissions
    • Solomon S., Plattner G.-K., Knutti R., Friedlingstein P. Irreversible climate change due to carbon dioxide emissions. PNAS 2009, 106(6):1704-1709.
    • (2009) PNAS , vol.106 , Issue.6 , pp. 1704-1709
    • Solomon, S.1    Plattner, G.-K.2    Knutti, R.3    Friedlingstein, P.4
  • 48
    • 79551717905 scopus 로고    scopus 로고
    • Models for exceedances over high thresholds of the precipitation totals over Athens
    • Tzavelas G., Paliatsos A.G., Nastos P.T. Models for exceedances over high thresholds of the precipitation totals over Athens. Greece. Nat. Hazard Earth Syst. 2010, 10:105-108.
    • (2010) Greece. Nat. Hazard Earth Syst. , vol.10 , pp. 105-108
    • Tzavelas, G.1    Paliatsos, A.G.2    Nastos, P.T.3
  • 49
    • 0040842491 scopus 로고    scopus 로고
    • Air pollution exposure monitoring and estimation Part II. Model evaluation and population exposure
    • Walker S.E., Slordal H.L., Guerreiro C., Gram F., Gronskei E.K. Air pollution exposure monitoring and estimation Part II. Model evaluation and population exposure. J. Environ. Monit. 1999, 1:321-326.
    • (1999) J. Environ. Monit. , vol.1 , pp. 321-326
    • Walker, S.E.1    Slordal, H.L.2    Guerreiro, C.3    Gram, F.4    Gronskei, E.K.5
  • 50
    • 45449094759 scopus 로고    scopus 로고
    • Use of geostationary meteorological satellite images in convective rain estimation for flash-flood forecasting
    • Wardah T., Abu Bakar S.H., Bardossy A., Maznorizan M. Use of geostationary meteorological satellite images in convective rain estimation for flash-flood forecasting. J. Hydrol. 2008, 356:283-298.
    • (2008) J. Hydrol. , vol.356 , pp. 283-298
    • Wardah, T.1    Abu Bakar, S.H.2    Bardossy, A.3    Maznorizan, M.4
  • 51
    • 0003529238 scopus 로고
    • Beyond regression: new tools for prediction and analysis in the behavioural sciences
    • Ph.D. dissertation, Committee on Applied Mathematics, Harvard University, Cambridge, MA.
    • Werbos, P., 1974. Beyond regression: new tools for prediction and analysis in the behavioural sciences. Ph.D. dissertation, Committee on Applied Mathematics, Harvard University, Cambridge, MA.
    • (1974)
    • Werbos, P.1
  • 53
    • 0020386641 scopus 로고
    • Some comments on the evaluation of model performance
    • Wilmott C.J. Some comments on the evaluation of model performance. Bull. Am. Meteorol. Soc. 1982, 63(11):1309-1313.
    • (1982) Bull. Am. Meteorol. Soc. , vol.63 , Issue.11 , pp. 1309-1313
    • Wilmott, C.J.1
  • 54
    • 0030425132 scopus 로고    scopus 로고
    • Climate sensitivity analysis using neural networks
    • Zwick A., Canarelli P. Climate sensitivity analysis using neural networks. Fresenius Environ. Bull. 1996, 5(11/12):700-705.
    • (1996) Fresenius Environ. Bull. , vol.5 , Issue.11-12 , pp. 700-705
    • Zwick, A.1    Canarelli, P.2
  • 55
    • 2442716146 scopus 로고    scopus 로고
    • On the role of statistics in climate research
    • Zwiers F.W., Von Storch H. On the role of statistics in climate research. Int. J. Climatol. 2004, 24:665-680.
    • (2004) Int. J. Climatol. , vol.24 , pp. 665-680
    • Zwiers, F.W.1    Von Storch, H.2


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