SARIMA-based time series analysis of rainfall and temperature for the Tarai region of Uttarakhand

The study was conducted at the Department of Agrometeorology, GBPUAT, Pantnagar under the Gramin Krishi Mausam Seva (GKMS) Scheme. The meteorological data on temperature and rainfall for the period of 1990-2022 collected from the Norman E Borlaug Crop Research Centre, Pantnagar, were used to develop a seasonal model using MINITAB software. The software used the monthly input data for the years 1990-2017 to develop the best Seasonal Autoregressive Integrated Moving Average (SARIMA) model for forecasting the variables on monthly basis. The forecasted values using SARIMA for the time period (2018-2022) were used to validate the model against the observed data and it was observed that the SARIMA (0,0,0)(1,0,1)12 was found suitable for rainfall and minimum temperature prediction and SARIMA (0,0,2)(1,0,0)12 for maximum temperature prediction.

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Publication Details

Journal
Journal of Agrometeorology
Published
2025-03-01
DOI
https://doi.org/10.54386/jam.v27i1.2838
Primary Topic
Time Series Analysis and Forecasting
Type
article
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article

SARIMA-based time series analysis of rainfall and temperature for the Tarai region of Uttarakhand

Shubhika Goel, Shivani Kothiyal, Rajeev Ranjan, Aaradhana Chilwal et al.
Journal of Agrometeorology
Time Series Analysis and Forecasting
article

SARIMA-based time series analysis of rainfall and temperature for the Tarai region of Uttarakhand

Shubhika Goel, Shivani Kothiyal, Rajeev Ranjan, Aaradhana Chilwal, Rajeev Kumar Singh
article en

Abstract

The study was conducted at the Department of Agrometeorology, GBPUAT, Pantnagar under the Gramin Krishi Mausam Seva (GKMS) Scheme. The meteorological data on temperature and rainfall for the period of 1990-2022 collected from the Norman E Borlaug Crop Research Centre, Pantnagar, were used to develop a seasonal model using MINITAB software. The software used the monthly input data for the years 1990-2017 to develop the best Seasonal Autoregressive Integrated Moving Average (SARIMA) model for forecasting the variables on monthly basis. The forecasted values using SARIMA for the time period (2018-2022) were used to validate the model against the observed data and it was observed that the SARIMA (0,0,0)(1,0,1)12 was found suitable for rainfall and minimum temperature prediction and SARIMA (0,0,2)(1,0,0)12 for maximum temperature prediction.

Journal of AgrometeorologyVol. 27(1)
Govind Ballabh Pant University of Agriculture and Technology (IN), Directorate of Groundnut Research (IN)
Openalex Percentile: Top 97%
Time Series Analysis and Forecasting
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SARIMA-based time series analysis of rainfall and temperature for the Tarai region of Uttarakhand — Shubhika Goel, Shivani Kothiyal, et al. · Journal of Agrometeorology (2025) | TGRS Research Map | TGRS