caa a22 4500 469037628 CHVBK 20180323132759.0 cr unu---uuuuu 170328e19920401xx s 000 0 eng 10.1007/BF00142425 doi (NATIONALLICENCE)springer-10.1007/BF00142425 Woo Ming-Ko Department of Geography, McMaster University, L8S 4K1, Hamilton, Ontario, Canada aut Application of stochastic simulation to climatic-change studies [Elektronische Daten] [Ming-Ko Woo] Stochastic modelling provides a tool for exploring the full implications of the statistical behavior of historical records and can be used to predict the changing probabilities that events of various magnitudes will occur for different climatic change scenarios. Two simulation models are presented, one for daily air temperature, and the other for daily precipitation. The simulation procedures are: (1) extract salient parameter values from historical records; (2) simulate long sequences of data using the stochastic models, with or without a climatic change scenario as provided by a general circulation model; and (3) using the simulated data as inputs, derive the probability distributions of other variables based on known deterministic or probabilistic relationships between the input and the predicted variables. Given a doubling of carbon dioxide concentration in the atmosphere, the climatic models produce varying degrees of temperature and precipitation changes. Examples of application, including the derivation of snowfall and riverice data using simulated temperature and precipitation, illustrate that stochastic modelling offers a suitable approach to quantify the possible hydrologic impacts of climatic change. Kluwer Academic Publishers, 1992 Climatic Change Kluwer Academic Publishers 20/4(1992-04-01), 313-330 0165-0009 20:4<313 1992 20 10584 https://doi.org/10.1007/BF00142425 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF00142425 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Woo Ming-Ko Department of Geography, McMaster University, L8S 4K1, Hamilton, Ontario, Canada aut NATIONALLICENCE 773 0- Climatic Change Kluwer Academic Publishers 20/4(1992-04-01), 313-330 0165-0009 20:4<313 1992 20 10584 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer