Development of Hybrid Method for the Modeling of Evaporation and Evapotranspiration

Kim, Sung-Won

doi:10.5772/20447

Cited by 1 publication

(1 citation statement)

References 45 publications

(18 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Stationary (Salas et al, 1995). Auto Regressive Moving Average (ARMA) models have been widely used in stochastic hydrology to model annual time series where the mean, variance and the correlation structure do not depend on time (Kim, 2012). Sampson et al (2013) used a seasonal ARIMA model to model the monthly rainfall amounts for the Navrongo meteorological service station from the period January, 1980to December, 2010 and concluded that the model was adequate.…”

Section: Introductionmentioning

confidence: 99%

Time Series Modeling of Monthly Rainfall in Arid Areas: Case Study for Saudi Arabia

Saada¹

2014

American Journal of Environmental Sciences

View full text Add to dashboard Cite

Stochastic techniques are essential in planning and management of water resources systems especially in arid and semi-arid areas where water is scarce. The forecasting of future events requires identifying proper stochastic models to be used in this process. For this purpose, a Periodic ARMA (PARMA) model and a temporal disaggregation models were used in this study to investigate weather they are appropriate for modeling the monthly rainfall data in Saudi Arabia. Results showed PARMA and temporal disaggregation models performed well in modeling the monthly rainfalls in Saudi Arabia. These models were able to preserve the basic seasonal statistics of the observed data well as preserving the seasonal correlation structure observed in the historical data. However, the PARMA model did not perform well at the annual level. In contrast, the disaggregation model performed well in preserving the correlation structure of the historical data at the annual level. Thus, these models can be used in modeling and forecasting of monthly rainfall in Arid and semi-arid areas.

show abstract

Section: Introductionmentioning

confidence: 99%

Time Series Modeling of Monthly Rainfall in Arid Areas: Case Study for Saudi Arabia

Saada¹

2014

American Journal of Environmental Sciences

View full text Add to dashboard Cite

show abstract

Development of Hybrid Method for the Modeling of Evaporation and Evapotranspiration

Cited by 1 publication

References 45 publications

Time Series Modeling of Monthly Rainfall in Arid Areas: Case Study for Saudi Arabia

Time Series Modeling of Monthly Rainfall in Arid Areas: Case Study for Saudi Arabia

Contact Info

Product

Resources

About