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- W2746954964 abstract "Time series analysis of temperature data can be a valuable tool to investigate variability pattern as well as to predict short and long-term changes. Here, linear trends showed that the maximum temperature is increasing by 2.97°C and 0.59°C per hundred years, and the minimum, by 2.17°C and 2.73°C per hundred years at the Sylhet and Sreemangal stations. Anomaly of these regions also showed increasing temperature. Seasonal autoregressive integrated moving average (SARIMA) model was fitted for temperature time series with its traditional three steps: identification, diagnosis and forecasting respectively. For monthly maximum and minimum temperature at Sylhet and Sreemangal stations, respective SARIMA models were (3, 1, 3) (1, 1, 1)12, (2, 1, 3) (0, 1, 1)12, (3, 1, 1) (1, 1, 1)12 and (2, 1, 1) (1, 1, 1)12. This will help the policy makers to understand the nature and scale of possible temperature changes in northeastern Bangladesh." @default.
- W2746954964 created "2017-08-31" @default.
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- W2746954964 date "2017-01-01" @default.
- W2746954964 modified "2023-09-27" @default.
- W2746954964 title "Analysis of time series variations of temperature and its forecast in the northeastern Bangladesh" @default.
- W2746954964 doi "https://doi.org/10.1504/ijgw.2017.10007161" @default.
- W2746954964 hasPublicationYear "2017" @default.
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