Prediction of Global Sea Water Level using Linear Regression and Gradient Descent | IEEE Conference Publication | IEEE Xplore

Prediction of Global Sea Water Level using Linear Regression and Gradient Descent


Abstract:

A sea level graph was published online in April 2022. "Climate Change: Global Sea Level" seems to be the current name for it. However, it contains little to no anchoring ...Show More

Abstract:

A sea level graph was published online in April 2022. "Climate Change: Global Sea Level" seems to be the current name for it. However, it contains little to no anchoring in provable facts. This paper examines a real-world situation. Real worldwide sea level fluctuations range from 0.0 mm/year to +1.0 mm/year on an international scale. The average global sea level has increased by 21 to 24 centimetres (8 to 9 inches) since 1880, according to measurements made from 1880 to 2013. In this study, we are developing models to forecast future seawater levels at the global sea level. In addition, we can observe the significantly rising sea level since the year 2000. The models are developed using JupyterLab Simulation Software, which is combined with the Python programming language to produce a graphic user interface (GUI). The results of the simulation show that the water level of the global sea will keep rising in the years to come. The study’s findings indicate that up until the year 2050, the global sea level will continue to change.
Date of Conference: 06-08 July 2023
Date Added to IEEE Xplore: 23 November 2023
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Conference Location: Delhi, India

References

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