The text addresses modeling systems where change has affected data that will be used to calibrate and test models of the system.
The use of actual hydrologic data will help you learn how to handle the vagaries of real-world hydrologic-change data. All four elements of the modeling process are discussed: conceptualization, formulation, calibration, and verification.lessisignlimpsarg.gq
Although the book is oriented towards the statistical aspects of modeling, a strong background in statistics is not required. The statistical and modeling methods discussed here will be of value to all disciplines involved in modeling change.
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- Modeling Hydrologic Change: Statistical Methods - Richard H. McCuen - Google Bøger.
The purpose of this paper is to present some applications in which we use time series of precipitation and temperature from Fagaras in the time period The data was analyzed and modeled by using the R language. Jha MK. Seasonal and annual precipitation time series trend analysis in North Carolina Atmospheric Research Volume pp Chan K-S.
Davis R. Introduction to Time Series and Forecasting. Springer-Verlag New York Inc.
Biometrika 65 2 pp Deguenon J. Mathematical models for extreme monthly precipitation Ovidius University Annals Series: Civil Engineering issue 13 pp.