1 publication

• Published Subscription Original Research 16 Aug 2024

  Time Series Methods in Meteorology: A Review of Predictive Models and Applications

  By Atharva Naik, Ninad Mungekar, Surabhi Pandit, Parth Vyavahare, Suresh Mestry

  Abstract: The accurate prediction of time series data holds substantial significance in various fields, enabling informed decision-making and resource optimization. In this study, temperature variations over time are predicted using the Autoregressive Integrated Moving Average (ARIMA) model. Reliable temperature projections are more important now than ever because of climate change and its effects. For time series prediction problems, the ARIMA model—which is well-known for its ability to capture temporal dependencies in …

  Published in Research & Reviews : Journal of Space Science & Technology · Vol. 13, Issue 2, 2024 · pp. 35–46 Read article →