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This project employs Exploratory Data Analysis (EDA) techniques to investigate climate feedback mechanisms, both positive and negative, and their influence on the carbon cycle. Utilizing Naive Forecasting, ARIMA model, and K-Means model, the study aims to comprehend the intricate interactions and ramifications of the global response to climate change. A particular emphasis is placed on examining climate and ocean-meteorological boundaries to gain insights into their impacts.

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A Study on Drastic Climate Changes Leading to Global Warming

  • 会议论文

  • 发表日期：

    2026年

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  • Karnati Vamshi,
  • M. T. V. Soumith,
  • Vaibhav Venkateswaran,
  • Kanaparthy Tribhuvan,
  • Pavan Kumar Pagadala,
  • Chanda Raj Kumar

摘要

This project employs Exploratory Data Analysis (EDA) techniques to investigate climate feedback mechanisms, both positive and negative, and their influence on the carbon cycle. Utilizing Naive Forecasting, ARIMA model, and K-Means model, the study aims to comprehend the intricate interactions and ramifications of the global response to climate change. A particular emphasis is placed on examining climate and ocean-meteorological boundaries to gain insights into their impacts.