Scientific Reports (Jan 2024)

Artificial intelligence predicts normal summer monsoon rainfall for India in 2023

  • Udit Narang,
  • Kushal Juneja,
  • Pankaj Upadhyaya,
  • Popat Salunke,
  • Tanmoy Chakraborty,
  • Swadhin Kumar Behera,
  • Saroj Kanta Mishra,
  • Akhil Dev Suresh

DOI
https://doi.org/10.1038/s41598-023-44284-3
Journal volume & issue
Vol. 14, no. 1
pp. 1 – 9

Abstract

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Abstract Inaccuracy in the All Indian Summer Monsoon Rainfall (AISMR) forecast has major repercussions for India's economy and people's daily lives. Improving the accuracy of AISMR forecasts remains a challenge. An attempt is made here to address this problem by taking advantage of recent advances in machine learning techniques. The data-driven models trained with historical AISMR data, the Niño3.4 index, and categorical Indian Ocean Dipole values outperform the traditional physical models, and the best-performing model predicts that the 2023 AISMR will be roughly 790 mm, which is typical of a normal monsoon year.