A local climatic model of the temperature-cloudiness relationship

Šinik, Nadežda

doi:10.1007/bf00866093

Cited by 2 publications

(1 citation statement)

References 7 publications

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“…The estimated models of this study show that the ANFIS-SC, ANFIS-GP and GRNNM models reveals a good accuracy that can be used to predict the dew point temperature. Moreover, other studies of models can be seen in (Sinik, 1992;Baigorria et al, 2004;Kisi and Sanikhani, 2015).…”

Section: Introductionmentioning

confidence: 99%

Optimum ARX Model Prediction for Monthly Air Temperature Changes in Delta, Egypt

Kaloop¹,

Abdelaal²,

Shambak³

2015

Research J. of Environmental Sciences

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This study aims to study the ability application of nonlinear Auto-Regression model with exogeneous inputs (ARX) in forecasting time series monthly temperatures changes in Delta, Egypt for 49 years (1960 to 2009) monitoring data. Three methods are used to estimate the optimal parameters of ARX model identification which are the normalized Least Mean Square (LMS), artificial Neural Network (NN) and Wavenet Neural network (WN). The time series temperature changes from 18 weather stations in Delta are used to compare and estimate the best method for the temperature change models. The models results indicate that the worst case solution for ARX model is LMS while the WN is found to be better than NN in the training period. The NN is found an acceptable performance for training and testing periods. The 95% auto-correlation function for the residuals models shows that there is no loss of information is observed for the applied ARXNN model; however, the ARXNN technique can be successfully used to predict the monthly temperatures of any site at the Delta area in Egypt.

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Section: Introductionmentioning

confidence: 99%

Optimum ARX Model Prediction for Monthly Air Temperature Changes in Delta, Egypt

Kaloop¹,

Abdelaal²,

Shambak³

2015

Research J. of Environmental Sciences

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On the seasonal variation of local relationships between temperature, temperature range, sunshine and cloudiness

Weber

1994

Theor Appl Climatol

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This paper discusses the cloud cover and its relation to atmospheric circulation over Spitsbergen during 1983Spitsbergen during -2015. It focuses on monthly and seasonal cloud covers and on the frequency of days with specific cloud cover (cloudless, clear, cloudy and completely overcast sky) and their relation to various circulation types. In the research period the cloud cover characteristics were differentiated over the island on both monthly and seasonal scales, and they strongly depended on the direction of air advection. The highest mean daily cloud cover was reported for circulation types with air advection from the south (S+SWc and S+SWa). The greatest variation in the cloud cover distribution was observed during the polar night (at Svalbard Lufthavn and Ny-Ålesund) or in the autumn (Hornsund). The long-term variability in the cloud cover significantly depends on the frequency of N+NEa type (negative correlation) and on S+SWc and W+NWc and Cc+Bc types (positive correlation), particularly in spring.

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A local climatic model of the temperature-cloudiness relationship

Cited by 2 publications

References 7 publications

Optimum ARX Model Prediction for Monthly Air Temperature Changes in Delta, Egypt

Optimum ARX Model Prediction for Monthly Air Temperature Changes in Delta, Egypt

On the seasonal variation of local relationships between temperature, temperature range, sunshine and cloudiness

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