Time series study of climate variables utilising a seasonal ARIMA technique for the Indian states of Punjab and Haryana

Time series study of climate variables utilising a seasonal ARIMA technique for the Indian states of Punjab and Haryana

Highlights 1. Temperature and precipitation time series data from 1950 to 2020 were analyzed for the states of Haryana and Punjab. 2. SARIMA models provided the most accurate temperature predictions for both states, though precipitation predictions in July were sometimes overestimated. 3. SARIMA pro...

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Main Authors: Pankaj Dahiya, Mohit Kumar, Shilpa Manhas, Ankit Saini, Sunil Kumar Yadav, Sanjeev Sirohi, Mohit Kamboj, Madan Lal Khichar, Ekta Pathak Mishra, Vipasha Sharma, Vijender Kour, Mohammad Reza Fayezizadeh
Format: Article
Language:English
Published: Springer 2024-11-01
Series:Discover Applied Sciences
Subjects:
Temperature
Precipitation
Forecasting
ARIMA
SARIMA
Online Access:https://doi.org/10.1007/s42452-024-06380-5
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https://doi.org/10.1007/s42452-024-06380-5

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