Evaluating Climate Change in Karnataka: A Machine Learning  Perspective

Divyashree H S ,Dr.Girisha Raju ,Dr.Piyush Kumar Pareek

Evaluating Climate Change in Karnataka: A Machine Learning Perspective

Authors

Divyashree H S ,Dr.Girisha Raju ,Dr.Piyush Kumar Pareek

Keywords:

Karnataka; climate change; monsoon variability; machine learning; downscaling; multi-model ensembles; hydrometeorology

Abstract

Karnataka’s climate exhibits strong spatial contrasts—from hyper-humid coastal belts todrought-prone interiors—making the state highly sensitive to shifts in monsoon dynamics,temperature, and extremes.

References

D. M. Jose, K. M. Kumar, and R. S. Vaddi, “Improving multiple model ensemble

predictions of daily climate variables using machine learning,” Scientific Reports, 12, 2022. (Nature)

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Published

2024-09-20

How to Cite

Divyashree H S ,Dr.Girisha Raju ,Dr.Piyush Kumar Pareek. (2024). Evaluating Climate Change in Karnataka: A Machine Learning Perspective. Journal of Computational Analysis and Applications (JoCAAA), 33(2), 1984–1988. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/3746