Application limits of the interpretation of near-surface temperature time series to assess groundwater recharge

2016 ◽  
Vol 538 ◽  
pp. 96-108 ◽  
Author(s):  
J.S. Gosselin ◽  
C. Rivard ◽  
R. Martel ◽  
R. Lefebvre
Keyword(s):  
Time Series ◽  
Surface Temperature ◽  
Groundwater Recharge ◽  
Temperature Time Series ◽  
Near Surface ◽  
Temperature Time

Pemodelan dan Peramalan Deret Waktu Studi Kasus: Suhu Permukaan Laut di Selatan Jawa Timur

2017 ◽  
Vol 1 (2) ◽  
pp. 187-199
Author(s):  
Hutomo Atman Maulana ◽  
Muliah Muliah ◽  
Maria Zefaya Sampe ◽  
Farrah Hanifah
Keyword(s):  
Time Series ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Sample Size ◽  
Time Series Data ◽  
Temperature Time Series ◽  
Sea Surface ◽  
Series Data ◽  
Forecast Time ◽  
Temperature Time

The sea surface temperature is one of the important components that can determine the potential of the sea. This research aims to model and forecast time series data of sea surface temperature by using a Box-Jenkins method. Data in this research are the sea surface temperatures in the South of East Java (January 1983-December 2013) with sample size of 372. 360 data will be used for modeling which is from January 1983 to December 2012, and data in 2013 will be used for forecasting. Based on the results of analysis time series, the appropriate models is SARIMA(1,0,0) (1,0,1)12 where can be written as Yt = 0,010039 + 0,734220Yt−1 + 0,014893Yt−12 − (0,734220)(0,014893)Yt−13 + 0,940726et−12 with  MSE of 0.07888096.Keywords: Sea surface temperature, time series, Box-Jenkins method

Spectral analysis of global, hemispheric and latitudinal averaged air surface temperature time series

2007 ◽  
Author(s):  
Mariza Pereira de Souza Echer ◽  
Daniel Jean Roger Nordemann ◽  
Ezequiel Echer ◽  
Nivaor Rodolfo Rigozo
Keyword(s):  
Time Series ◽  
Spectral Analysis ◽  
Surface Temperature ◽  
Temperature Time Series ◽  
Temperature Time
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